ALBERT

Description: Minerals, Vol. 7, Pages 200: Adsorption of Scandium and Neodymium on Biochar Derived after Low-Temperature Pyrolysis of Sawdust Minerals doi: 10.3390/min7100200 Authors: Konstantinos Komnitsas Dimitra Zaharaki Georgios Bartzas Georgios Alevizos The objective of this study was to investigate the adsorption of two rare earth elements (REEs), namely scandium (Sc) and neodymium (Nd), on biochar produced after low temperature pyrolysis (350 °C) of wood sawdust. The biochar was characterized with the use of several analytical techniques, namely X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and thermogravimetric (TG) analysis, while the pH at point of zero charge (pHPZC) was also determined. The experimental conditions were: absorbent concentration 1–10 g L−1, REE concentration in solution 20 mg L−1, contact time for equilibrium 24 h, temperature 25 °C and stirring speed 350 rpm. The efficiency of biochar was compared to that of a commercial activated carbon. Geochemical modelling was carried out to determine speciation of Nd and Sc species in aqueous solutions using PHREEQC-3 equipped with the llnl database. The experimental results indicated the potential of low temperature produced biochar, even though inferior to that of activated carbon, to adsorb efficiently both REEs. The equilibrium adsorption data were very well fitted into the Freundlich isotherm model, while kinetic data suggested that the removal of both REEs follows the pseudo-second order kinetic reaction. Finally, the most probable adsorption mechanisms are discussed.

Description: IJERPH, Vol. 14, Pages 1354: Pattern of Road Traffic Injuries in Rural Bangladesh: Burden Estimates and Risk Factors International Journal of Environmental Research and Public Health doi: 10.3390/ijerph14111354 Authors: Md. Ul Baset Aminur Rahman Olakunle Alonge Priyanka Agrawal Shirin Wadhwaniya Fazlur Rahman Globally, road traffic injury (RTI) causes 1.3 million deaths annually. Almost 90% of all RTI deaths occur in low- and middle-income countries. RTI is one of the leading causes of death in Bangladesh; the World Health Organization estimated that it kills over 21,000 people in the country annually. This study describes the current magnitude and risk factors of RTI for different age groups in rural Bangladesh. A household census was carried out in 51 unions of seven sub-districts situated in the north and central part of Bangladesh between June and November 2013, covering 1.2 million individuals. Trained data collectors collected information on fatal and nonfatal RTI events through face-to-face interviews using a set of structured pre-tested questionnaires. The recall periods for fatal and non-fatal RTI were one year and six months, respectively. The mortality and morbidity rates due to RTI were 6.8/100,000 population/year and 889/100,000 populations/six months, respectively. RTI mortality and morbidity rates were significantly higher among males compared to females. Deaths and morbidities due to RTI were highest among those in the 25–64 years age group. A higher proportion of morbidity occurred among vehicle passengers (34%) and pedestrians (18%), and more than one-third of the RTI mortality occurred among pedestrians. Twenty percent of all nonfatal RTIs were classified as severe injuries. RTI is a major public health issue in rural Bangladesh. Immediate attention is needed to reduce preventable deaths and morbidities in rural Bangladesh.

Description: Sustainability, Vol. 10, Pages 77: Designing a Climate-Resilient Environmental Curriculum—A Transdisciplinary Challenge Sustainability doi: 10.3390/su10010077 Authors: Cheng-Yu Yu Yi-Chang Chiang Building resilience is a promising transdisciplinary area that contributes to addressing the impacts of climate change. This paper focused on the design of climate-resilient environmental curriculums to enhance environmental quality. Transdisciplinary approaches have been recognized as being well-placed to assist responses to climate change, which is a complex phenomenon and problem. Semi-structured interviews were conducted to explore how climate-resilient environmental education can be integrated into the design, implementation, and practice transdisciplinary manner into curriculums. Transdisciplinary curriculum design is an important factor determining the quality of modules, especially in the field of environmental design, due to its real-life setting characteristics. As students are trained with new projects, and under different socioeconomic and environmental conditions, curriculum design requires modification. Moreover, promoting transdisciplinary studies is a new trend that influences curriculum design. Compared to the interdisciplinary approach, the transdisciplinary approach is concerned with issues and subjects that exist between disciplines, across different disciplines, and beyond all the disciplines, leading to an immense space of new knowledge. This approach leads to integrated research that involves non-academic participants. We concluded that the transdisciplinary approach is beneficial for students in two ways: better performance in practical modules, and addresses the real interests of the students. Feedback from students about the curriculum design suggested that, to consider the individual student’s personal circumstances, multiple training methods should be used. The transdisciplinary approach to climate-resilient environmental curriculum design using a participative process amongst stakeholders is crucial; however, in this study, different opinions amongst interviewed tutors may obstruct the realization of the students’ wishes.

Description: Sustainability, Vol. 10, Pages 73: International Tourists’ Perceived Sustainability of Jeju Island, South Korea Sustainability doi: 10.3390/su10010073 Authors: Min-Seong Kim Brijesh Thapa Hany Kim This study investigated the causal relationships between international tourists’ perceived sustainability of Jeju Island, South Korea and environmentally responsible behavior, revisit intention, and positive word-of-mouth communication. Perceived sustainability was employed as a multidimensional construct comprised of economic, cultural, and environmental aspects. Data were collected from international tourists that visited Jeju Island. The results indicated that environmentally responsible behavior was influenced positively by cultural sustainability, and negatively by environmental sustainability. Revisit intention and positive word-of-mouth communication were significantly affected by the three dimensions of sustainability. Based on the findings, associated implications were suggested for sustainable destination management of Jeju Island.

Description: Sensors, Vol. 18, Pages 82: Fog-Based Two-Phase Event Monitoring and Data Gathering in Vehicular Sensor Networks Sensors doi: 10.3390/s18010082 Authors: Yongxuan Lai Fan Yang Jinsong Su Qifeng Zhou Tian Wang Lu Zhang Yifan Xu Vehicular nodes are equipped with more and more sensing units, and a large amount of sensing data is generated. Recently, more and more research considers cooperative urban sensing as the heart of intelligent and green city traffic management. The key components of the platform will be a combination of a pervasive vehicular sensing system, as well as a central control and analysis system, where data-gathering is a fundamental component. However, the data-gathering and monitoring are also challenging issues in vehicular sensor networks because of the large amount of data and the dynamic nature of the network. In this paper, we propose an efficient continuous event-monitoring and data-gathering framework based on fog nodes in vehicular sensor networks. A fog-based two-level threshold strategy is adopted to suppress unnecessary data upload and transmissions. In the monitoring phase, nodes sense the environment in low cost sensing mode and generate sensed data. When the probability of the event is high and exceeds some threshold, nodes transfer to the event-checking phase, and some nodes would be selected to transfer to the deep sensing mode to generate more accurate data of the environment. Furthermore, it adaptively adjusts the threshold to upload a suitable amount of data for decision making, while at the same time suppressing unnecessary message transmissions. Simulation results showed that the proposed scheme could reduce more than 84 percent of the data transmissions compared with other existing algorithms, while it detects the events and gathers the event data.

Description: Sustainability, Vol. 10, Pages 75: Exploring the Patterns and Mechanisms of Reclaimed Arable Land Utilization under the Requisition-Compensation Balance Policy in Wenzhou, China Sustainability doi: 10.3390/su10010075 Authors: Lin Lin Hongzhen Jia Yi Pan Lefeng Qiu Muye Gan Shenggao Lu Jinsong Deng Zhoulu Yu Ke Wang Arable land in China is undergoing significant changes, with massive losses of arable land due to rapid urbanization and the reclamation of arable land from other lands to compensate for these losses. Many studies have analyzed arable land loss, but less attention has been paid to land reclamation, and the utilization of reclaimed land remains unclear. The goal of our study was to characterize the patterns and efficiency of the utilization of reclaimed land and to identify the factors influencing the land utilization process in Wenzhou using remote sensing, geographic information systems and logistic regression. Our results showed that only 37% of the total reclaimed land area was under cultivation, and other lands were still bare or had been covered by trees and grasses. The likelihood that reclaimed land was used for cultivation was highly correlated with the land use type of its neighboring or adjacent parcels. Reclaimed land utilization was also limited at high elevations in lands with poor soil fertility and in lands at a great distance from rural residential areas. In addition, parcels located in the ecological protection zone were less likely to be cultivated. Therefore, we suggest that the important determinants should be considered when identifying the most suitable land reclamation areas.

Description: Sensors, Vol. 18, Pages 78: A Triple-Mode Flexible E-Skin Sensor Interface for Multi-Purpose Wearable Applications Sensors doi: 10.3390/s18010078 Authors: Sung-Woo Kim Youngoh Lee Jonghwa Park Seungmok Kim Heeyoung Chae Hyunhyub Ko Jae Kim This study presents a flexible wireless electronic skin (e-skin) sensor system that includes a multi-functional sensor device, a triple-mode reconfigurable readout integrated circuit (ROIC), and a mobile monitoring interface. The e-skin device’s multi-functionality is achieved by an interlocked micro-dome array structure that uses a polyvinylidene fluoride and reduced graphene oxide (PVDF/RGO) composite material that is inspired by the structure and functions of the human fingertip. For multi-functional implementation, the proposed triple-mode ROIC is reconfigured to support piezoelectric, piezoresistance, and pyroelectric interfaces through single-type e-skin sensor devices. A flexible system prototype was developed and experimentally verified to provide various wireless wearable sensing functions—including pulse wave, voice, chewing/swallowing, breathing, knee movements, and temperature—while their real-time sensed data are displayed on a smartphone.

Description: Sensors, Vol. 18, Pages 77: Real-Time Detection of Sporadic Meteors in the Intensified TV Imaging Systems Sensors doi: 10.3390/s18010077 Authors: Stanislav Vítek Maria Nasyrova The automatic observation of the night sky through wide-angle video systems with the aim of detecting meteor and fireballs is currently among routine astronomical observations. The observation is usually done in multi-station or network mode, so it is possible to estimate the direction and the speed of the body flight. The high velocity of the meteorite flying through the atmosphere determines the important features of the camera systems, namely the high frame rate. Thanks to high frame rates, such imaging systems produce a large amount of data, of which only a small fragment has scientific potential. This paper focuses on methods for the real-time detection of fast moving objects in the video sequences recorded by intensified TV systems with frame rates of about 60 frames per second. The goal of our effort is to remove all unnecessary data during the daytime and make free hard-drive capacity for the next observation. The processing of data from the MAIA (Meteor Automatic Imager and Analyzer) system is demonstrated in the paper.

Description: Energies, Vol. 10, Pages 2083: Core Abilities Evaluation Index System Exploration and Empirical Study on Distributed PV-Generation Projects Energies doi: 10.3390/en10122083 Authors: Lin He Chang-Ling Li Qing-Yun Nie Yan Men Hai Shao Jiang Zhu In line with the constraints of environmental problems and economic development, large-scale renewable-generation projects have been planned and constructed in recent years. In order to achieve sustainable power development and improve the power supply structure, China’s government has focused on distributed photovoltaic (PV) generation projects due to their advantages of clean emission and local consumption. However, their unstable output power still brings a series of problems concerning reliability, investment income, and available substitution proportion to traditional power, and so on. Therefore, it is imperative to understand the competitive development abilities of distributed PV generation projects and measure them effectively. First, through various investigation methods such as literature reviews, feasibility report analysis and expert interviews, the factors that influence the core abilities of distributed PV-generation projects were explored based on the micro-grid structure. Then, with the indexed exploration results, the factors were classified into 6 dimensions, i.e., investment and earning ability, production and operation ability, power-grid coordination ability, energy-conservation and emission-reduction ability, sustainable development ability, and society-serving ability. Meanwhile, an evaluation index system for core abilities of distributed PV-generation project was constructed using all quantitative indicators. Third, for examining the availability of the evaluation index system, combination weighting and techniques for order preference by similarity to an ideal solution (TOPSIS) methods were adopted to assess the practical distributed PV-generation projects. The case study results showed that installed capacity, local economy development, and grid-connected power quantity will influence the core abilities of distributed PV-generation project, obviously. The conclusions of the evaluation analysis on core abilities can provide useful references to operate and manage distributed PV-generation projects and promote their sustainable and health advantages. The proposed evaluation index system can also be used to assess power-generation projects in other types of energy, such as wind power and hydropower.

Description: 〈b〉Friedrich Robert Helmert, founder of modern geodesy, on the occasion of the centenary of his death〈/b〉〈br〉 Johannes Ihde and Andreas Reinhold〈br〉 Hist. Geo Space. Sci., 8, 79-95, https://doi.org/10.5194/hgss-8-79-2017, 2017〈br〉 Friedrich Robert Helmert died in Potsdam in 1917. He was, for over 30 years, director of the Royal Prussian Geodetic Institute and of the Central Bureau of the Internationale Erdmessung, today's IAG. He dedicated his life and his scientific career to the field of geodesy. His teachings on theoretical and physical geodesy were incorporated into university curricula around the world and hence into international endeavours to measure planet Earth.

Description: 〈b〉Scientific Drilling at Lake Tanganyika, Africa: A Transformative Record for Understanding Evolution in Isolation and the Biological History of the African Continent, University of Basel, 6–8 June 2016〈/b〉〈br〉 Andrew S. Cohen and Walter Salzburger〈br〉 Sci. Dril., 22, 43-48, https://doi.org/10.5194/sd-22-43-2017, 2017〈br〉 A workshop was held in Basel, Switzerland, to discuss the scientific opportunities for evolutionary biology, paleobiology and paleoecology of a drilling project at Lake Tanganyika, one of the oldest and most biodiverse lakes on Earth. A record of the numerous endemic organisms collected from the lake coupling body fossils, environmental history and potentially aDNA or ancient protein records would be transformative for understanding evolution in isolation and the biogeographic history of Africa.

Description: 〈b〉Flow intake control using dry-weather forecast〈/b〉〈br〉 Otto Icke, Kim van Schagen, Christian Huising, Jasper Wuister, Edward van Dijk, and Arjan Budding〈br〉 Drink. Water Eng. Sci., 10, 69-74, https://doi.org/10.5194/dwes-10-69-2017, 2017〈br〉 Flow intake based on predictive control using dry-weather flow and rainfall predictions offers reduced peak discharges on the waste water treatment plants. This results in a better performance of the waste water treatment plant and particularly the utilisation of the post-treatment phase. Results at waste water treatment plant Bennekom show that about 50 % of bypass volume of the post-treatment phase can be prevented with operational predictive control. This improves the surface water quality.

Description: 〈b〉Online total organic carbon (TOC) monitoring for water and wastewater treatment plants processes and operations optimization〈/b〉〈br〉 Céline Assmann, Amanda Scott, and Dondra Biller〈br〉 Drink. Water Eng. Sci., 10, 61-68, https://doi.org/10.5194/dwes-10-61-2017, 2017〈br〉 TOC (total organics carbon) analysis, as a laboratory and online technology, offers new perspectives to organic measurements in waters and waste water, supplementing regulatory oxygen demand tests. TOC monitoring, implemented as a tool to make informative and rapid treatment decisions, becomes a useful process control parameter. This paper discusses the various technologies available and details how three municipal plants gained insights into their processes and saved on their spending with TOC.

Description: 〈b〉Fifteen years of the Chinese Continental Scientific Drilling Program〈/b〉〈br〉 Zhiqin Xu, Jingsui Yang, Chengshan Wang, Zhisheng An, Haibing Li, Qin Wang, and Dechen Su〈br〉 Sci. Dril., 22, 1-18, https://doi.org/10.5194/sd-22-1-2017, 2017〈br〉 The 5158 m deep borehole of the Chinese Continental Scientific Drilling (CCSD) Project in the Sulu ultrahigh-pressure metamorphic terrain marked the starting point of the CCSD Program. Since then, several continental scientific drilling projects were conducted with funding of the Chinese government and partially with support of ICDP, resulting in a total drilling depth of more than 35 000 m. This paper reviews the history and major progress of the CCSD Program in the past 15 years.

Description: 〈b〉GONAF – the borehole Geophysical Observatory at the North Anatolian Fault in the eastern Sea of Marmara〈/b〉〈br〉 Marco Bohnhoff, Georg Dresen, Ulubey Ceken, Filiz Tuba Kadirioglu, Recai Feyiz Kartal, Tugbay Kilic, Murat Nurlu, Kenan Yanik, Digdem Acarel, Fatih Bulut, Hisao Ito, Wade Johnson, Peter Eric Malin, and Dave Mencin〈br〉 Sci. Dril., 22, 19-28, https://doi.org/10.5194/sd-22-19-2017, 2017〈br〉 GONAF (Geophysical Observatory at the North Anatolian Fault) has been installed around the eastern Sea of Marmara section where a 〈i〉M〈/i〉〈i〉〉〈/i〉7 earthquake is pending to capture the seismic and strain activity preceding, during, and after such an anticipated event. GONAF is currently comprised of seven 300 m deep vertical seismic profiling stations and four collocated 100 m deep borehole strain meters. GONAF is the first ICDP-driven project with a primary focus on long-term fault-zone monitoring.

Description: 〈b〉Regional estimation of Curie-point depths and succeeding geothermal parameters from recently acquired high-resolution aeromagnetic data of the entire Bida Basin, north-central Nigeria〈/b〉〈br〉 Levi I. Nwankwo and Abayomi J. Sunday〈br〉 Geoth. Energ. Sci., 5, 1-9, https://doi.org/10.5194/gtes-5-1-2017, 2017〈br〉 The recent aeromagnetic data over the Bida Basin, Nigeria, have been used to estimate the Curie-point depths (CPDs), geothermal gradients (GGs), and near-surface crustal heat flow (HF) of the basin. The result shows that the CPD varies between 15.57 and 29.62 km, GG varies between 19.58 and 37.25 °C km〈sup〉−1〈/sup〉, and HF varies between 48.41 and 93.12 mW m〈sup〉−2〈/sup〉. Regions are observed in the basin with shallow CPDs and corresponding high HFs, thus suggesting anomalous geothermal conditions.

Description: 〈b〉Ecology Day〈/b〉〈br〉 Maria Amélia Martins Loução〈br〉 Web Ecol., 17, 65-67, https://doi.org/10.5194/we-17-65-2017, 2017〈br〉 Following the 150th anniversary of the science of ecology, the Portuguese Ecological Society (SPECO) proposes 14 September as Ecology Day. This day should be promoted by ecological societies to host different kinds of public and media events closely related to ecology, in a broad sense. The date, 14 September, was chosen because it was on that day Haeckel had published his 〈q〉Ökologie und Chorologie〈/q〉.

Description: 〈b〉The ecology of subindividual variability in plants: patterns, processes, and prospects〈/b〉〈br〉 Carlos M. Herrera〈br〉 Web Ecol., 17, 51-64, https://doi.org/10.5194/we-17-51-2017, 2017〈br〉 Plants produce a considerable number of structures of one kind, like leaves, flowers, fruits, and seeds, which are not identical. This paper provides an overview of current knowledge on traits that vary subindividually, the magnitude of subindividual variation, and its spatial patterning. Examples are presented on the consequences of subindividual variation for plants and consumers. Emerging links between genetics, epigenetics, subindividual variation, and population ecology are also considered.

Description: 〈b〉A statistical approach to latitude measurements: Ptolemy's and Riccioli's geographical works as case studies〈/b〉〈br〉 Luca Santoro〈br〉 Hist. Geo Space. Sci., 8, 69-77, https://doi.org/10.5194/hgss-8-69-2017, 2017〈br〉 Historical geographical works typically contain many latitude measurements of locations: all show measurement errors and some of these refer to lost cities. How can we estimate errors? How can we know the right position of lost cities? This work shows a general approach to give a scientific answer to these questions in two particular case studies: Ptolemy's Geography and Riccioli's work on geography.

Description: 〈b〉Steponas Kolupaila's contribution to hydrological science development〈/b〉〈br〉 Gintaras Valiuškevičius〈br〉 Hist. Geo Space. Sci., 8, 57-67, https://doi.org/10.5194/hgss-8-57-2017, 2017〈br〉 This article presents the most important facts on the life and scientific achievements of Steponas Kolupaila (1892–1964) – one of the most famous hydrologists of the 20th century. This Lithuanian scientist is especially well known for his book 〈i〉Bibliography of Hydrometry〈/i〉.

Description: 〈b〉Ball lightning: a Renaissance account from Zafra (Spain)〈/b〉〈br〉 José M. Vaquero〈br〉 Hist. Geo Space. Sci., 8, 53-56, https://doi.org/10.5194/hgss-8-53-2017, 2017〈br〉 An analysis is given of the account of a 〈q〉globe of fire〈/q〉 observed in Zafra (Spain) in the middle of the 16th century. During a strong storm, Conde Don Pedro observed what he described as a 〈q〉globe of fire〈/q〉 that was directed against the city and abruptly changed course. He attributed the change in course to a miracle. He described neither any damage nor sound.

Description: 〈b〉Franz Kossmat – 〈i〉Subdivision of the Variscan Mountains〈/i〉 – a translation of the German text with supplementary notes〈/b〉〈br〉 Guido Meinhold〈br〉 Hist. Geo Space. Sci., 8, 29-51, https://doi.org/10.5194/hgss-8-29-2017, 2017〈br〉 This work is in honour of Franz Kossmat (1871–1938) and his esteemed paper the 〈i〉Gliederung des varistischen Gebirgsbaues〈/i〉 published 1927 in 〈i〉Abhandlungen des Sächsischen Geologischen Landesamts〈/i〉, Volume 1, pages 1 to 39. It constitutes the foundation of the general subdivision of the Central European Variscides into several geotectonic zones and the idea of large-scale nappe transport of individual units. In the English translation presented here an attempt is made to provide a readable text, which should still reflect Kossmat's style but would also be readable for a non-German speaking community either working in the Variscan Mountains or having specific interests in historical aspects of geosciences. Supplementary notes provide information about Kossmat's life and the content of the text. Kossmat's work is a superb example of how important geological fieldwork and mapping are for progress in geoscientific research.

Description: 〈b〉Report on the ICDP workshop DIVE (Drilling the Ivrea–Verbano zonE)〈/b〉〈br〉 Mattia Pistone, Othmar Müntener, Luca Ziberna, György Hetényi, and Alberto Zanetti〈br〉 Sci. Dril., 23, 47-56, https://doi.org/10.5194/sd-23-47-2017, 2017〈br〉 The Ivrea–Verbano Zone is the most complete, time-integrated crust–upper mantle archive in the world. It is a unique target for assembling data on the deep crust and Moho transition zone to unravel the formation, evolution, and modification of the continental crust through space and time across the Earth. Four drilling operations in the Ivrea-Verbano Zone crustal section represent the scientifically most promising solution to achieve the major goals of DIVE Project.

Description: 〈b〉Photocatalytic degradation of dyes in water by analytical reagent grades ZnO, TiO〈sub〉2〈/sub〉 and SnO〈sub〉2〈/sub〉: a comparative study〈/b〉〈br〉 Dnyaneshwar R. Shinde, Popat S. Tambade, Manohar G. Chaskar, and Kisan M. Gadave〈br〉 Drink. Water Eng. Sci., 10, 109-117, https://doi.org/10.5194/dwes-10-109-2017, 2017〈br〉 With photocatalytic activity of commercially available photocatalysts, viz. ZnO, TiO〈sub〉2〈/sub〉 and SnO〈sub〉2〈/sub〉, a set of photocatalytic experiments was performed under similar conditions using crystal violet, basic blue and methyl red dyes in water. The comparison of photocatalytic activity of ZnO with the benchmark Degussa P-25 (TiO〈sub〉2〈/sub〉) catalyst as well as with AR grade TiO〈sub〉2〈/sub〉 and SnO〈sub〉2〈/sub〉 showed that despite low specific surface areas and larger grain sizes, ZnO displayed higher activity in the degradation of dyes.

Description: 〈b〉Modeling particle transport and discoloration risk in drinking water distribution networks〈/b〉〈br〉 Joost van Summeren and Mirjam Blokker〈br〉 Drink. Water Eng. Sci., 10, 99-107, https://doi.org/10.5194/dwes-10-99-2017, 2017〈br〉 The build-up and subsequent remobilization of microscopic particles can cause discoloration of drinking water during distribution. We theoretically investigated the relevant transport processes and dependencies on flow conditions and particle properties. The presented theoretical framework is intended as a starting point for a numerical tool to help water utilities determine regions of high discoloration risk and reduce these risks, e.g., by designing more efficient pipe cleaning programs.

Description: 〈b〉Scientific Exploration of Induced SeisMicity and Stress (SEISMS)〈/b〉〈br〉 Heather M. Savage, James D. Kirkpatrick, James J. Mori, Emily E. Brodsky, William L. Ellsworth, Brett M. Carpenter, Xiaowei Chen, Frédéric Cappa, and Yasuyuki Kano〈br〉 Sci. Dril., 23, 57-63, https://doi.org/10.5194/sd-23-57-2017, 2017〈br〉 The Scientific Exploration of Induced SeisMicity and Stress (SEISMS) meeting brought together earthquake scientists from around the world. Discussion focused on field-scale experiments for understanding earthquake nucleation, propagation, and arrest.

Description: 〈b〉Limitations of demand- and pressure-driven modeling for large deficient networks〈/b〉〈br〉 Mathias Braun, Olivier Piller, Jochen Deuerlein, and Iraj Mortazavi〈br〉 Drink. Water Eng. Sci., 10, 93-98, https://doi.org/10.5194/dwes-10-93-2017, 2017〈br〉 The article introduces a stable formulation of the model for water distribution systems that guarantees the existence of a unique solution. This is done regarding two modeling paradigms. First for models with customer demand as a fixed boundary condition and second for models that add a boundary condition on the minimum network pressure. The following discussion concludes that pressure-driven models are superior in modeling deficient networks, but still have to be improved.

Description: 〈b〉Limitations of demand- and pressure-driven modeling for large deficient networks〈/b〉〈br〉 Mathias Braun, Olivier Piller, Jochen Deuerlein, and Iraj Mortazavi〈br〉 Drink. Water Eng. Sci., 10, 93-98, https://doi.org/10.5194/dwes-10-93-2017, 2017〈br〉 The article introduces a stable formulation of the model for water distribution systems that guarantees the existence of a unique solution. This is done regarding two modeling paradigms. First for models with customer demand as a fixed boundary condition and second for models that add a boundary condition on the minimum network pressure. The following discussion concludes that pressure-driven models are superior in modeling deficient networks, but still have to be improved.

Description: 〈b〉Identifying (subsurface) anthropogenic heat sources that influence temperature in the drinking water distribution system〈/b〉〈br〉 Claudia M. Agudelo-Vera, Mirjam Blokker, Henk de Kater, and Rob Lafort〈br〉 Drink. Water Eng. Sci., 10, 83-91, https://doi.org/10.5194/dwes-10-83-2017, 2017〈br〉 Water temperature in the drinking water distribution system (DWDS) and at the customers' taps approaches the surrounding soil temperature at 1 m in depth. In the Netherlands drinking water is distributed without additional residual disinfectant and drinking water temperature at the customers' tap should not exceed 25 ºC. Some urban infrastructures are heat sources and generate hot-spots. This article describes a method to find anthropogenic heat sources that influence temperature in the DWDS.

Description: 〈b〉Modeling and clustering water demand patterns from real-world smart meter data〈/b〉〈br〉 Nicolas Cheifetz, Zineb Noumir, Allou Samé, Anne-Claire Sandraz, Cédric Féliers, and Véronique Heim〈br〉 Drink. Water Eng. Sci., 10, 75-82, https://doi.org/10.5194/dwes-10-75-2017, 2017〈br〉 This paper aims at a better understanding of water consumption usage.

Description: 〈b〉Flow intake control using dry-weather forecast〈/b〉〈br〉 Otto Icke, Kim van Schagen, Christian Huising, Jasper Wuister, Edward van Dijk, and Arjan Budding〈br〉 Drink. Water Eng. Sci., 10, 69-74, https://doi.org/10.5194/dwes-10-69-2017, 2017〈br〉 Flow intake based on predictive control using dry-weather flow and rainfall predictions offers reduced peak discharges on the waste water treatment plants. This results in a better performance of the waste water treatment plant and particularly the utilisation of the post-treatment phase. Results at waste water treatment plant Bennekom show that about 50 % of bypass volume of the post-treatment phase can be prevented with operational predictive control. This improves the surface water quality.

Description: 〈b〉Modeling particle transport and discoloration risk in drinking water distribution networks〈/b〉〈br〉 Joost van Summeren and Mirjam Blokker〈br〉 Drink. Water Eng. Sci., 10, 99-107, https://doi.org/10.5194/dwes-10-99-2017, 2017〈br〉 The build-up and subsequent remobilization of microscopic particles can cause discoloration of drinking water during distribution. We theoretically investigated the relevant transport processes and dependencies on flow conditions and particle properties. The presented theoretical framework is intended as a starting point for a numerical tool to help water utilities determine regions of high discoloration risk and reduce these risks, e.g., by designing more efficient pipe cleaning programs.

Description: 〈b〉Online total organic carbon (TOC) monitoring for water and wastewater treatment plants processes and operations optimization〈/b〉〈br〉 Céline Assmann, Amanda Scott, and Dondra Biller〈br〉 Drink. Water Eng. Sci., 10, 61-68, https://doi.org/10.5194/dwes-10-61-2017, 2017〈br〉 TOC (total organics carbon) analysis, as a laboratory and online technology, offers new perspectives to organic measurements in waters and waste water, supplementing regulatory oxygen demand tests. TOC monitoring, implemented as a tool to make informative and rapid treatment decisions, becomes a useful process control parameter. This paper discusses the various technologies available and details how three municipal plants gained insights into their processes and saved on their spending with TOC.

Description: 〈b〉Facility for testing ice drills〈/b〉〈br〉 Dennis L. Nielson, Chris Delahunty, John W. Goodge, and Jeffery P. Severinghaus〈br〉 Sci. Dril., 22, 29-33, https://doi.org/10.5194/sd-22-29-2017, 2017〈br〉 The North American Testing (NAT) was designed to test critical functions of a Rapid Access Ice Drill (RAID) at a site in northern Utah. The RAID was designed to rapidly drill in Antarctica through over 2500 m of ice and then take a core sample of the bedrock. The system has many innovative features that required field testing before the system was shipped to Antarcitca. The NAT facility consisted of a borehole where we froze a column of ice to test drilling and fluid circulation functions.

Description: 〈b〉Modeling and clustering water demand patterns from real-world smart meter data〈/b〉〈br〉 Nicolas Cheifetz, Zineb Noumir, Allou Samé, Anne-Claire Sandraz, Cédric Féliers, and Véronique Heim〈br〉 Drink. Water Eng. Sci., 10, 75-82, https://doi.org/10.5194/dwes-10-75-2017, 2017〈br〉 This paper aims at a better understanding of water consumption usage.

Description: 〈b〉IODP workshop: developing scientific drilling proposals for the Argentina Passive Volcanic Continental Margin (APVCM) – basin evolution, deep biosphere, hydrates, sediment dynamics and ocean evolution〈/b〉〈br〉 Roger D. Flood, Roberto A. Violante, Thomas Gorgas, Ernesto Schwarz, Jens Grützner, Gabriele Uenzelmann-Neben, F. Javier Hernández-Molina, Jennifer Biddle, Guillaume St-Onge, and APVCM workshop participants〈br〉 Sci. Dril., 22, 49-61, https://doi.org/10.5194/sd-22-49-2017, 2017〈br〉 The Argentine margin contains important sedimentological, paleontological and chemical records of regional and local tectonic evolution, sea level, climate evolution and ocean circulation since the opening of the South Atlantic in the Late Jurassic–Early Cretaceous as well as the present-day results of post-depositional chemical and biological alteration. Despite its important location, which underlies the exchange of southern- and northern-sourced water masses, the Argentine margin has not been investigated in detail using scientific drilling techniques, perhaps because the margin has the reputation of being erosional. However, a number of papers published since 2009 have reported new high-resolution and/or multichannel seismic surveys, often combined with multi-beam bathymetric data, which show the common occurrence of layered sediments and prominent sediment drifts on the Argentine and adjacent Uruguayan margins. There has also been significant progress in studying the climatic records in surficial and near-surface sediments recovered in sediment cores from the Argentine margin. Encouraged by these recent results, our 3.5-day IODP (International Ocean Discovery Program) workshop in Buenos Aires (8–11 September 2015) focused on opportunities for scientific drilling on the Atlantic margin of Argentina, which lies beneath a key portion of the global ocean conveyor belt of thermohaline circulation. Significant opportunities exist to study the tectonic evolution, paleoceanography and stratigraphy, sedimentology, and biosphere and geochemistry of this margin.

Description: 〈b〉A comparison of the use of X-ray and neutron tomographic core scanning techniques for drilling projects: insights from scanning core recovered during the Alpine Fault Deep Fault Drilling Project〈/b〉〈br〉 Jack N. Williams, Joseph J. Bevitt, and Virginia G. Toy〈br〉 Sci. Dril., 22, 35-42, https://doi.org/10.5194/sd-22-35-2017, 2017〈br〉 We compare images of drillcore from the Alpine Fault in New Zealand that were collected using X-ray computed tomography (CT) and neutron tomography (NT). Both techniques provide 3-D images of the core's internal structure, which would not be possible through visual analysis alone. We find that CT scans are more beneficial, as they can image a wider range of rock types, and this scanning technique is more practical. Nevertheless, NT provides complementary scans over limited intervals of core.

Description: 〈b〉Identifying (subsurface) anthropogenic heat sources that influence temperature in the drinking water distribution system〈/b〉〈br〉 Claudia M. Agudelo-Vera, Mirjam Blokker, Henk de Kater, and Rob Lafort〈br〉 Drink. Water Eng. Sci., 10, 83-91, https://doi.org/10.5194/dwes-10-83-2017, 2017〈br〉 Water temperature in the drinking water distribution system (DWDS) and at the customers' taps approaches the surrounding soil temperature at 1 m in depth. In the Netherlands drinking water is distributed without additional residual disinfectant and drinking water temperature at the customers' tap should not exceed 25 ºC. Some urban infrastructures are heat sources and generate hot-spots. This article describes a method to find anthropogenic heat sources that influence temperature in the DWDS.

Description: 〈b〉Foramina in plesiosaur cervical centra indicate a specialized vascular system〈/b〉〈br〉 Tanja Wintrich, Martin Scaal, and P. Martin Sander〈br〉 Foss. Rec., 20, 279-290, https://doi.org/10.5194/fr-20-279-2017, 2017〈br〉 Plesiosaurians retain a very long neck but greatly reduce neck flexibility, and the cervicals have large, paired, and highly symmetrical foramina on the ventral side of the centrum, traditionally termed 〈q〉subcentral foramina〈/q〉, and on the floor of the neural canal. We found that these dorsal and the ventral foramina are connected by a canal. The foramen are not for nutrient transfer; they are the osteological correlates of a highly paedomorphic vascular system in the neck of plesiosaurs.

Description: 〈b〉Could disruptive technologies also reform academia?〈/b〉〈br〉 Casparus J. Crous〈br〉 Web Ecol., 17, 47-50, https://doi.org/10.5194/we-17-47-2017, 2017〈br〉 A thriving future science community could depend on disruptive technologies to shake up outmoded academic practices.

Description: Comprehensive research on glacier changes in the Tian Shan is available for the current decade; however, there is limited information about glacier investigations of previous decades and especially before the mid 1970s. The earliest stereo images from the Corona missions were acquired in the 1960s but existing studies dealing with these images focus on single glaciers or small areas only. We developed a workflow to generate digital terrain models (DTMs) and orthophotos from 1964 Corona KH-4 for an entire mountain range (Ak-Shirak) located in the Central Tian Shan. From these DTMs and orthoimages, we calculated geodetic mass balances and length changes in comparison to 1973 and 1980 Hexagon KH-9 data. We found mass budgets between −0.4 ± 0.1 m·w.e.a−1 (1964–1980) and −0.9 ± 0.4 m·w.e.a−1 (1973–1980) for the whole region and individual glaciers. The length changes, on the other hand, vary heterogeneously between +624 ± 18 m (+39.0 ± 1.1 m·a−1) and −923 ± 18 m (−57.7 ± 1.1 m·a−1) for 1964–1980. An automation of the processing line can successively lead to region-wide Corona data processing allowing the analysis and interpretation of glacier changes on a larger scale and supporting a refinement of glacier modelling.

Description: Long-term vegetation monitoring in Great Britain – the Countryside Survey 1978–2007 and beyond Claire M. Wood, Simon M. Smart, Robert G. H. Bunce, Lisa R. Norton, Lindsay C. Maskell, David C. Howard, W. Andrew Scott, and Peter A. Henrys Earth Syst. Sci. Data Discuss., doi:10.5194/essd-2017-17,2017 Manuscript under review for ESSD (discussion: open, 0 comments) The Countryside Survey (CS) of Great Britain consists of an extensive set of repeated ecological measurements at a national scale, covering a time span of 29 years. CS was first undertaken in 1978 to monitor ecological and land use change in Britain using standardised procedures for recording ecological data from representative 1 km squares throughout the country. The vegetation component has subsequently been repeated in 1990, 1998 and 2007, and changes may be related to a range of drivers.

Description: Long-term vegetation monitoring in Great Britain – the Countryside Survey 1978–2007 and beyond Claire M. Wood, Simon M. Smart, Robert G. H. Bunce, Lisa R. Norton, Lindsay C. Maskell, David C. Howard, W. Andrew Scott, and Peter A. Henrys Earth Syst. Sci. Data Discuss., doi:10.5194/essd-2017-17,2017 Manuscript under review for ESSD (discussion: open, 0 comments) The Countryside Survey (CS) of Great Britain consists of an extensive set of repeated ecological measurements at a national scale, covering a time span of 29 years. CS was first undertaken in 1978 to monitor ecological and land use change in Britain using standardised procedures for recording ecological data from representative 1 km squares throughout the country. The vegetation component has subsequently been repeated in 1990, 1998 and 2007, and changes may be related to a range of drivers.

Description: Hydraulic manifolds are used to realize compact circuit layout, but may introduce a high pressure drop in the system. Their design is in fact oriented more toward achieving minimum size and weight than to reducing pressure losses. This work studies the pressure losses in hydraulic manifolds using different methods: Computational Fluid Dynamic (CFD) analysis; semi-empirical formulation derived from the scientific literature, when available; and experimental characterization. The purpose is to obtain the pressure losses when the channels’ connections within the manifold are not ascribable to the few classic cases studied in the literature, in particular for 90° bends (elbows) with expansion/contraction and offset intersection of channels. Moreover, since CFD analysis is used to predict pressure losses, general considerations of the manifold design may be outlined and this will help the design process in the optimization of flow passages. The main results obtained show how CFD analysis overestimates the experimental results; nevertheless, the numerical analysis represents the correct trends of the pressure losses.

Description: Traditional current transformers (CTs) suffer from DC and AC saturation and remanent magnetization in many industrial applications. Moreover, the drawbacks of traditional CTs, such as closed iron cores, bulky volume, and heavy weight, further limit the development of an intelligent power protection system. In order to compensate for these drawbacks, we proposed a novel current measurement method by using Hall sensors, which is called the Hall-effect current transformer (HCT). The existing commercial Hall sensors are electronic components, so the reliability of the HCT is normally worse than that of the traditional CT. Therefore, our study proposes a redundancy mechanism for the HCT to strengthen its reliability. With multiple sensor modules, the method has the ability to improve the accuracy of the HCT as well. Additionally, the proposed redundancy mechanism monitoring system provides a condition-based maintenance for the HCT. We verify our method with both simulations and an experimental test. The results demonstrate that the proposed HCT with a redundancy mechanism can almost achieve Class 0.2 for measuring CTs according to IEC Standard 60044-8.

Description: This paper proposes a model for strategic maintenance scheduling of offshore wind farms (SMSOWF) in a deregulated power system. The objective of the model is to plan the maintenance schedules in a way to maximize the profit of the offshore wind farm. In addition, some network constraints, such as transmission lines capacity, and wind farm constraints, such as labor working shift, wave height limit and wake effect, as well as unexpected outages, are included in deterministic and stochastic studies. Moreover, the proposedmodel provides theability to incorporate information from condition monitoring systems. SMSOWF is formulated through a bi-level formulation and then transformed into a single-level through Karush–Kuhn–Tucker conditions. The model is validated through a test system, and the results demonstrate applicability, advantages and challenges of harnessing the full potential of the model.

Description: Due to a mistake during the production process, there was a spelling error in the Academic Editors’ names in the original published version [...]

Description: In order to achieve and maintain a high quality factor (high-Q) for the micro resonant pressure sensor, this paper presents a new wafer level package by adopting cross-layer anodic bonding technique of the glass/silicon/silica (GSS) stackable structure and integrated Ti getter. A double-layer structure similar to a silicon-on-insulator (SOI) wafer is formed after the resonant layer and the pressure-sensitive layer are bonded by silicon direct bonding (SDB). In order to form good bonding quality between the pressure-sensitive layer and the glass cap layer, the cross-layer anodic bonding technique is proposed for vacuum package by sputtering Aluminum (Al) on the combination wafer of the pressure-sensitive layer and the resonant layer to achieve electrical interconnection. The model and the bonding effect of this technique are discussed. In addition, in order to enhance the performance of titanium (Ti) getter, the prepared and activation parameters of Ti getter under different sputtering conditions are optimized and discussed. Based on the optimized results, the Ti getter (thickness of 300 nm to 500 nm) is also deposited on the inside of the glass groove by magnetron sputtering to maintain stable quality factor (Q). The Q test of the built testing system shows that the number of resonators with a Q value of more than 10,000 accounts for more than 73% of the total. With an interval of 1.5 years, the Q value of the samples remains almost constant. It proves the proposed cross-layer anodic bonding and getter technique can realize high-Q resonant structure for long-term stable operation.

Description: Measurement experiences with FluxSet digital D/I station László Hegymegi, János Szöllősy, Csaba Hegymegi, and Ádám Domján Geosci. Instrum. Method. Data Syst. Discuss., doi:10.5194/gi-2017-14,2017 Manuscript under review for GI (discussion: open, 0 comments) The authors developed and built a digital non-magnetic declination inclination magnetometer which gives all measurement data in digital form. Use of this instrument significantly decreases possibility of observation errors and minimizes handwork. We showed that this device is suitable for absolute magnetic control measurements, and its more convenient, user friendly and effective than the traditional ones.

Description: Possibilities of further improvement of 1-second fluxgate variometers Andriy Marusenkov Geosci. Instrum. Method. Data Syst. Discuss., doi:10.5194/gi-2017-12,2017 Manuscript under review for GI (discussion: open, 0 comments) The paper discusses the possibility to improve quality of geomagnetic variations monitoring at the ground observatories. The new fluxgate sensor as well as electronics with upgraded temperature and noise characteristics are described. It is supposed that the application of the discussed in the paper results and recommendations will allow creating an fluxgate magnetometer with outstanding level of parameters.

Description: Measurement experiences with FluxSet digital D/I station László Hegymegi, János Szöllősy, Csaba Hegymegi, and Ádám Domján Geosci. Instrum. Method. Data Syst. Discuss., doi:10.5194/gi-2017-14,2017 Manuscript under review for GI (discussion: open, 0 comments) The authors developed and built a digital non-magnetic declination inclination magnetometer which gives all measurement data in digital form. Use of this instrument significantly decreases possibility of observation errors and minimizes handwork. We showed that this device is suitable for absolute magnetic control measurements, and its more convenient, user friendly and effective than the traditional ones.

Description: Explicit and parametrised representation of under ice shelf seas in a z * coordinate ocean model Pierre Mathiot, Adrian Jenkins, Christopher Harris, and Gurvan Madec Geosci. Model Dev. Discuss., doi:10.5194/gmd-2017-37,2017 Manuscript under review for GMD (discussion: open, 0 comments) Ice shelf/ocean interactions are a major source of fresh water on the Antarctic continental shelf and have a strong impact on ocean properties, ocean circulation and sea ice. However, climate models based on the ocean/sea ice model NEMO currently do not include these interactions in any detail. The capability of explicitly simulating the circulation beneath ice shelves is introduced in the non-linear free surface model NEMO. Its implementation into the NEMO framework and its assessment in an idealised and realistic circum-Antarctic configuration is described in this study. Compared with the current prescription of ice shelf melting (i.e. at the surface) inclusion of open sub-ice-shelf leads to a decrease sea ice thickness along the coast, a weakening of the ocean stratification on the shelf, a decrease in salinity of HSSW on the Ross and Weddell Sea shelves and an increase in the strength of the gyres that circulate within the over-deepened basins on the West Antarctic continental shelf. Mimicking the under ice shelf seas overturning circulation by introducing the meltwater over the depth range of the ice shelf base, rather than at the surface is also tested. It yields similar improvements in the simulated ocean properties and circulation over the Antarctic continental shelf than the explicit ice shelf cavity representation. With the ice shelf cavities opened, the widely-used “3 equations” ice shelf melting formulation enables an interactive computation of melting that has been assessed. Comparison with observational estimates of ice shelf melting indicates realistic results for most ice shelves. However, melting rates for Amery, Getz and George VI ice shelves are considerably overestimated.

Description: Multiple domain evaluation of watershed hydrology models Karthik Kumarasamy and Patrick Belmont Hydrol. Earth Syst. Sci. Discuss., doi:10.5194/hess-2017-121,2017 Manuscript under review for HESS (discussion: open, 0 comments) Watershed scale models simulating hydrology and water quality have advanced rapidly in sophistication. Given the importance of these models to support decision-making for a wide range of environmental issues, the hydrology community is compelled to improve the metrics used to evaluate model performance. We introduce a suite of new tools and metrics for model evaluation. We propose general guidelines for selecting parameters that should be included for matching predicted flow with measured flow.

Description: Moment-based Metrics for Global Sensitivity Analysis of Hydrological Systems Aronne Dell'Oca, Monica Riva, and Alberto Guadagnini Hydrol. Earth Syst. Sci. Discuss., doi:10.5194/hess-2017-90,2017 Manuscript under review for HESS (discussion: open, 0 comments) We propose new metrics to assist global sensitivity analysis of Earth systems. Our approach allows assessing the impact of model parameters on the first four statistical moments of a target model output, allowing to ascertain which parameters can affect some moments of the model output pdf while being uninfluential to others. Our approach is fully compatible with analysis in the context of model complexity reduction, design of experiment, uncertainty quantification and risk assessment.

Description: Interannual variation, decadal trend, and future change in ozone outflow from East Asia Jia Zhu, Hong Liao, Yuhao Mao, Yang Yang, and Hui Jiang Atmos. Chem. Phys., 17, 3729-3747, doi:10.5194/acp-17-3729-2017, 2017 Asian O 3 outflow exhibited a small and statistically insignificant decadal trend with large interannual variations from 1986–2006. The latter were mainly caused by variations in the meteorological conditions. Future climate change will aggravate the effects of the increases in anthropogenic emissions on future changes in the Asian O 3 outflow. These findings help us to understand the variations in tropospheric O 3 in the regions downwind of East Asia on different timescales.

Description: Tracing changes in atmospheric moisture supply to the drying Southwest China Chi Zhang, Qiuhong Tang, Deliang Chen, Laifang Li, Xingcai Liu, and Huijuan Cui Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2017-147,2017 Manuscript under review for ACP (discussion: open, 0 comments) Precipitation over Southwest China (SWC) decreased significantly in recent years. By attributing precipitation to its sources, we found that the reduced precipitation is resulted from the reduced moisture supply from regions influenced by the South Asian Summer Monsoon and the westerlies. Further study revealed the dynamic variations in circulation dominate the interannual variations in precipitation over SWC. Changes in circulation systems may be related to the recent changes in SSTs.

Description: Potential impact of carbonaceous aerosols on the Upper Troposphere and Lower Stratosphere (UTLS) during Asian summer monsoon in a global model simulation Suvarna Fadnavis, Gayatry Kalita, K. Ravi Kumar, Blaz Gasparini, and Jui-Lin Frank Li Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2017-197,2017 Manuscript under review for ACP (discussion: open, 0 comments) In this study, the model simulations show that monsoon convection over the Bay of Bengal, the South China Sea and Southern flanks of the Himalayas transport Asian carbonaceous aerosol into the UTLS. Carbonaceous aerosol induces enhancement in heating rate, vertical velocity and water vapor transport in the UTLS.Doubling of BC + OC aerosols creates an anomalous warming over the TP. It elicits monsoon Hadley circulation and thus increases precipitation over India and northeast China.

Description: An improved parameterisation of ozone dry deposition to the ocean and its impact in a global climate–chemistry model Ashok K. Luhar, Ian E. Galbally, Matthew T. Woodhouse, and Marcus Thatcher Atmos. Chem. Phys., 17, 3749-3767, doi:10.5194/acp-17-3749-2017, 2017 Dry deposition of tropospheric ozone relates to its destruction at the Earth’s surface. An improved model scheme for such deposition to the ocean is formulated backed up by field data. It results in the oceanic dry deposition of ozone to be 12 % of the global total, which is much lower than the current model estimate of about 30 %. This result has implications for modelling global tropospheric ozone budget and its radiative forcing, and ozone mixing ratios, especially in the Southern Hemisphere.

Description: Potential impact of carbonaceous aerosols on the Upper Troposphere and Lower Stratosphere (UTLS) during Asian summer monsoon in a global model simulation Suvarna Fadnavis, Gayatry Kalita, K. Ravi Kumar, Blaz Gasparini, and Jui-Lin Frank Li Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2017-197,2017 Manuscript under review for ACP (discussion: open, 0 comments) In this study, the model simulations show that monsoon convection over the Bay of Bengal, the South China Sea and Southern flanks of the Himalayas transport Asian carbonaceous aerosol into the UTLS. Carbonaceous aerosol induces enhancement in heating rate, vertical velocity and water vapor transport in the UTLS.Doubling of BC + OC aerosols creates an anomalous warming over the TP. It elicits monsoon Hadley circulation and thus increases precipitation over India and northeast China.

Description: Ice Crystal Characterization in Cirrus Clouds: A Sun-tracking Camera System and Automated Detection Algorithm for Halo Displays Linda Forster, Meinhard Seefeldner, Matthias Wiegner, and Bernhard Mayer Atmos. Meas. Tech. Discuss., doi:10.5194/amt-2017-17,2017 Manuscript under review for AMT (discussion: open, 0 comments) Halo displays are produced by scattering of sunlight by smooth, hexagonal ice crystals. Consequently, the presence of a halo should contain information on particle shape. This study presents HaloCam, a novel sun-tracking camera system, and an automated detection algorithm to collect and evaluate long-term halo observations. Two-year HaloCam observations revealed that about 25 % of the detected cirrus clouds occurred together with a 22° halo indicating the presence of smooth, hexagonal crystals.

Description: Since the late 1990s, land surface temperatures over Japan have increased during the summer and autumn, while global mean temperatures have not risen in this duration (i.e., the global warming hiatus). In contrast, winter and spring temperatures in Japan have decreased. To assess the impact of both global warming and global-scale decadal variability on this enhanced seasonal temperature contrast, we analyzed the outputs of 100 ensemble simulations of historical and counterfactual non-warming climate simulations conducted using a high-resolution atmospheric general circulation model (AGCM). Our simulations showed that atmospheric fields impacted by the La Nina-like conditions associated with Interdecadal Pacific Oscillation (IPO) have predominantly contributed to the seasonal temperature contrast over Japan. Compared with the impact of negative IPO, the influence of global warming on seasonal temperature contrasts in Japan was small. In addition, atmospheric variability has also had a large impact on temperatures in Japan over a decadal timescale. The results of this study suggest a future increase in heatwave risk during the summer and autumn when La Nina-like decadal phenomena and atmospheric perturbations coincide over a background of global warming.

Description: Risk assessment of liquefaction-induced hazards using Bayesian network based on standard penetration test data Xiao-Wei Tang, Jiang-Nan Qiu, and Ji-Lei Hu Nat. Hazards Earth Syst. Sci. Discuss., doi:10.5194/nhess-2017-80,2017 Manuscript under review for NHESS (discussion: open, 0 comments) Liquefaction-induced hazards are responsible for considerable damages to engineering structures during major earthquakes. Presently, there is not any effective empirical approach that can assess different liquefaction-induced hazards in one model, such as sand boils, ground cracks, settlement, and lateral spreading, due to the uncertainties and complexity of multiple related factors of seismic liquefaction and liquefaction-induced hazards. This study used Bayesian network method to integrate multiple important factors of seismic liquefaction, sand boils, ground cracks, settlement and lateral spreading into a model based on standard penetration test historical data, so that the constructed Bayesian network model can assess the four different liquefaction-induced hazards together for free fields. In the study case, compared with the artificial neural network technology and the Ishihara and Yoshimine simplified method, the Bayesian network method performed a better classification ability, because its prediction probabilities of Accuracy , Brier score , Recall , Precision , and area under the curve of receiver operating characteristic ( AUC of ROC ) are better, which illustrated that the Bayesian network method is a good alternative tool for risk assessment of liquefaction-induced hazards. Furthermore, the performances of the application of the BN model in estimating liquefaction-induced hazards in the Japan's Northeast Pacific Offshore Earthquake also prove the correctness and reliability of it compared with the liquefaction potential index approach. Except for assessing the severity of hazards induced by soil liquefaction, the proposed Bayesian network model can also predict whether the soil is liquefied or not after an earthquake, and it can deduce the process of a chain reaction of the liquefaction-induced hazards and do backward reasoning, the assessment results from the proposed model could provide informative guidelines for decision-makers to detect damage state of a field induced by liquefaction.

Description: On the deep convection events and Antarctic Bottom Water formation in ocean reanalysis products Wilton Aguiar, Mauricio M. Mata, and Rodrigo Kerr Ocean Sci. Discuss., doi:10.5194/os-2017-9,2017 Manuscript under review for OS (discussion: open, 0 comments) In ocean models, Antarctic Bottom Water (AABW) formation is frequently misrepresented. Hence, assessing the causes of spurious formation is important to assure accurate future simulations. Only one of the state-of-art reanalysis investigated showed AABW formation accurately. Spurious formation in the other two products resulted from opening of large ice-free areas. The relatively accurate AABW formation in one of the products is an important advance on the simulation of deep ocean circulation.

Description: In this paper, the composite additive of CaF2/CaO was used to extract vanadium from stone coal, and the effect of roasting and leaching kinetics were studied. The purpose of this manuscript is to realize and improve the vanadium recovery from stone coal using the composite additive. The experimental results indicated that the roasted clinker can be obtained under the conditions of CaF2/CaO at a mass ratio of 2:3 and a total additive amount of 10 wt %, a roasting temperature 850 °C, and a roasting time of 90 min. The leaching rate of vanadium can reach 86.74%, which increased by 16.4% compared with that of blank roasting under the conditions including a leaching temperature of 950 °C, a sulfuric acid concentration of 15% (v/v), a leaching time of 2 h, and a ratio of liquid to solid of 3 mL/g. The phase transformation analysis indicated that the muscovite structure was effectively destroyed during the roasting process comparing with no additives, which provided the basis for vanadium dissociation. Roasting can promote the formation of calcium vanadate, which is beneficial to the leaching of vanadium. The vanadium leaching kinetic analysis indicated that the activation energy of the acid leaching reaction decreased from 42.50 KJ/mol in the blank roasting to 22.56 KJ/mol in the calcified roasting, and the reaction order, with respect to the sulfuric acid concentration, decreased from 1.15 to 0.85. Calcified roasting has a better mineral activation than blank roasting, which can accelerate the leaching of vanadium and reduce the dependence on high-temperature and high acid levels in the leaching process.

Description: Two new Cr(III) complexes based on 2-substituted 8-hydroxyquinoline ligands, namely [Cr(L1)3] (1), (HL1=(E)-2-[2-(4-nitro-phenyl)-vinyl]-8-hydroxy-quinoline) and [Cr(L2)3] (2), (HL2=(E)-2-[2-(4-chloro-phenyl)vinyl]-8-hydroxy-quinoline), were prepared by a facile hydrothermal method and characterized thoroughly by single crystal X-ray diffraction, powder X-ray diffraction, FTIR, TGA, ESI-MS, UV-Visible absorption spectra and fluorescence emission spectra. Single crystal X-ray diffraction analyses showed that the two compounds featured 3D supramolecular architectures constructed from noncovalent interactions, such as π···π stacking, C-H···π, C-H···O, C-Cl···π, C-H···Cl interactions. The thermogravimetric analysis and ESI-MS study of compounds 1 and 2 suggested that the Cr(III) complexes possessed good stability both in solid and solution. In addition, the ultraviolet and fluorescence response of the HL1 and HL2 shown marked changes upon their complexation with Cr(III) ion, which indicated that the two 8-hydroxyquinolinate based ligand are promising heavy metal chelating agent for Cr3+.

Description: Geographic Object-Based Image Analysis (GEOBIA) mostly uses proprietary software,but the interest in Free and Open-Source Software (FOSS) for GEOBIA is growing. This interest stems not only from cost savings, but also from benefits concerning reproducibility and collaboration. Technical challenges hamper practical reproducibility, especially when multiple software packages are required to conduct an analysis. In this study, we use containerization to package a GEOBIA workflow in a well-defined FOSS environment. We explore the approach using two software stacks to perform an exemplary analysis detecting destruction of buildings in bi-temporal images of a conflict area. The analysis combines feature extraction techniques with segmentation and object-based analysis to detect changes using automatically-defined local reference values and to distinguish disappeared buildings from non-target structures. The resulting workflow is published as FOSS comprising both the model and data in a ready to use Docker image and a user interface for interaction with the containerized workflow. The presented solution advances GEOBIA in the following aspects: higher transparency of methodology; easier reuse and adaption of workflows; better transferability between operating systems; complete description of the software environment; and easy application of workflows by image analysis experts and non-experts. As a result, it promotes not only the reproducibility of GEOBIA, but also its practical adoption.

Description: Digital surface models (DSMs) derived from spaceborne and airborne sensors enable the monitoring of the vertical structures for forests in large areas. Nevertheless, due to the lack of an objective performance assessment for this task, it is difficult to select the most appropriate data source for DSM generation. In order to fill this gap, this paper performs change detection analysis including forest decrease and tree growth. The accuracy of the DSMs is evaluated by comparison with measured tree heights from inventory plots (field data). In addition, the DSMs are compared with LiDAR data to perform a pixel-wise quality assessment. DSMs from four different satellite stereo sensors (ALOS/PRISM, Cartosat-1, RapidEye and WorldView-2), one satellite InSAR sensor (TanDEM-X), two aerial stereo camera systems (HRSC and UltraCam) and two airborne laser scanning datasets with different point densities are adopted for the comparison. The case study is a complex central European temperate forest close to Traunstein in Bavaria, Germany. As a major experimental result, the quality of the DSM is found to be robust to variations in image resolution, especially when the forest density is high. The forest decrease results confirm that besides aerial photogrammetry data, very high resolution satellite data, such as WorldView-2, can deliver results with comparable quality as the ones derived from LiDAR, followed by TanDEM-X and Cartosat DSMs. The quality of the DSMs derived from ALOS and Rapid-Eye data is lower, but the main changes are still correctly highlighted. Moreover, the vertical tree growth and their relationship with tree height are analyzed. The major tree height in the study site is between 15 and 30 m and the periodic annual increments (PAIs) are in the range of 0.30–0.50 m.

Description: This paper presents an automated and effective framework for classifying airborne laser scanning (ALS) point clouds. The framework is composed of four stages: (i) step-wise point cloud segmentation, (ii) feature extraction, (iii) Random Forests (RF) based feature selection and classification, and (iv) post-processing. First, a step-wise point cloud segmentation method is proposed to extract three kinds of segments, including planar, smooth and rough surfaces. Second, a segment, rather than an individual point, is taken as the basic processing unit to extract features. Third, RF is employed to select features and classify these segments. Finally, semantic rules are employed to optimize the classification result. Three datasets provided by Open Topography are utilized to test the proposed method. Experiments show that our method achieves a superior classification result with an overall classification accuracy larger than 91.17%, and kappa coefficient larger than 83.79%.

Description: This paper presents a supervised feature extraction method called weighted kernel entropy component analysis (WKECA) for fault diagnosis of rolling bearings. The method is developed based on kernel entropy component analysis (KECA) which attempts to preserve the Renyi entropy of the data set after dimension reduction. It makes full use of the labeled information and introduces a weight strategy in the feature extraction. The class-related weights are introduced to denote differences among the samples from different patterns, and genetic algorithm (GA) is implemented to seek out appropriate weights for optimizing the classification results. The features based on wavelet packet decomposition are derived from the original signals. Then the intrinsic geometric features extracted by WKECA are fed into the support vector machine (SVM) classifier to recognize different operating conditions of bearings, and we obtain the overall accuracy (97%) for the experimental samples. The experimental results demonstrated the feasibility and effectiveness of the proposed method.

Description: Achieving a high fill factor is a bottleneck problem for capturing high-quality images. There are hardware and software solutions to overcome this problem. In the solutions, the fill factor is known. However, this is an industrial secrecy by most image sensor manufacturers due to its direct effect on the assessment of the sensor quality. In this paper, we propose a method to estimate the fill factor of a camera sensor from an arbitrary single image. The virtual response function of the imaging process and sensor irradiance are estimated from the generation of virtual images. Then the global intensity values of the virtual images are obtained, which are the result of fusing the virtual images into a single, high dynamic range radiance map. A non-linear function is inferred from the original and global intensity values of the virtual images. The fill factor is estimated by the conditional minimum of the inferred function. The method is verified using images of two datasets. The results show that our method estimates the fill factor correctly with significant stability and accuracy from one single arbitrary image according to the low standard deviation of the estimated fill factors from each of images and for each camera.

Description: The aim of this paper is to identify the correlations between energy consumption and the factors that control usage in the city of Tangshan. To do this, we first analyze the current status of Tangshan’s economic development and energy consumption, and then applied the logarithmic mean Divisia index to identify the factors affecting the changes in energy consumption of all sectors. The findings are summarized as follows: (1) secondary industry accounts for an extremely high percentage of industry in Tangshan city, much higher than the national average; from 2007 to 2012, the proportion of secondary industry increased in Tangshan city; (2) Tangshan’s energy consumption in 2013 was nearly twice that in 2005. Coal and coke coal consumption was responsible for 96.2% of total energy consumption in 2005 and 95.1% in 2013; (3) Tangshan’s energy intensity decreased from 3.00 tce/thousand Yuan in 2005 to 1.85 tce/thousand Yuan in 2013. However, the energy intensity of Tangshan was far more than the average for China, and the decline in Tangshan’s energy intensity was much slower than the average for China; (4) The technical effect plays a dominant role in decreasing energy consumption in most sectors, and the scale effect is the most important contributor to increasing energy consumption in all sectors. Input structural and final use structural effects play different roles in energy consumption in different sectors.

Description: The European population is ageing, and there is a need for health solutions that keep older adults independent longer. With increasing access to mobile technology, such as smartphones and smartwatches, the development and use of mobile health applications is rapidly growing. To meet the societal challenge of changing demography, mobile health solutions are warranted that support older adults to stay healthy and active and that can prevent or delay functional decline. This paper reviews the literature on mobile technology, in particular wearable technology, such as smartphones, smartwatches, and wristbands, presenting new ideas on how this technology can be used to encourage an active lifestyle, and discusses the way forward in order further to advance development and practice in the field of mobile technology for active, healthy ageing.

Description: The Transition Network is a global grassroots network that supports community-led resilience in the face of global change. This paper reports on an ethnographic study of one of its longest-running projects, Transition Town Lewes (TTL) in the United Kingdom. The aim of the study is to analyse TTL as a community. More specifically, we ask two questions: (1) what type of community is TTL? and (2) what are the challenges TTL faces as a community? With this, we contribute to the existing literature on local sustainability initiatives and in particular on Transition initiatives, by providing an in-depth understanding of the challenges and social dynamics at play in a day-to-day setting. We conducted three months of intensive ethnographic fieldwork using participant observation, interviews, and a focus group. Our analysis shows that TTL is a community that, on the one hand, is motivated by explicit intentions and goals, but that, on the other hand, leaves openness and flexibility regarding the level and specifics of participants’ engagement. We introduce the novel concept of ‘light intentional community’ to describe this type of community. We first investigate intentionality in TTL, finding that differences exist between individual participant motivations and stated TTL objectives. We go on to describe the ‘light’ aspect of TTL—the differences in levels of engagement between community participants. Our analysis shows that TTL and its participants face two main challenges. First, TTL participants experience ‘multi-dimensional liminality’: they operate in a liminal space between mainstream society and TTL practices, and additionally experience a continuous sense of transitioning toward a moving goal. Second, TTL as a community faces internal and external frictions. These challenges are interrelated and stem from the structure and dynamics of TTL as a light intentional community. We conclude by reflecting on our analysis of the nature and challenges of ‘light intentional communities’, identifying what opportunities this concept brings for overcoming the challenges of grassroots globalization initiatives amidst mainstream society.

Description: Non-destructive subsurface detection of encapsulated, coated, or seal-packaged foods and pharmaceuticals can help prevent distribution and consumption of counterfeit or hazardous products. This study used a Spatially Offset Raman Spectroscopy (SORS) method to detect and identify urea, ibuprofen, and acetaminophen powders contained within one or more (up to eight) layers of gelatin capsules to demonstrate subsurface chemical detection and identification. A 785-nm point-scan Raman spectroscopy system was used to acquire spatially offset Raman spectra for an offset range of 0 to 10 mm from the surfaces of 24 encapsulated samples, using a step size of 0.1 mm to obtain 101 spectral measurements per sample. As the offset distance was increased, the spectral contribution from the subsurface powder gradually outweighed that of the surface capsule layers, allowing for detection of the encapsulated powders. Containing mixed contributions from the powder and capsule, the SORS spectra for each sample were resolved into pure component spectra using self-modeling mixture analysis (SMA) and the corresponding components were identified using spectral information divergence values. As demonstrated here for detecting chemicals contained inside thick capsule layers, this SORS measurement technique coupled with SMA has the potential to be a reliable non-destructive method for subsurface inspection and authentication of foods, health supplements, and pharmaceutical products that are prepared or packaged with semi-transparent materials.

Description: On-site management of construction waste commonly determines its destination. In the case of plasterboard (PB), on-site segregation becomes crucial for closed-loop recycling. However, PB is commonly mixed with other wastes in Spain. In this context, the involvement of stakeholders that can contribute to reversing this current situation is needed. This paper analyzes on-site waste management of PB in Spain through a pilot study of a construction site, with the main objective of identifying best practices to increase waste prevention, waste minimization, and the recyclability of the waste. On-site visits and structured interviews were conducted. The results show five management stages: PB distribution (I); PB installation (II); Construction waste storage at the installation area (III); PB waste segregation at the installation area (IV) and PB waste transfer to the PB container and storage (V). The proposed practices refer to each stage and include the merging of Stages III and IV. This measure would avoid the mixing of waste fractions in Stage III, maximizing the recyclability of PB. In addition, two requisites for achieving enhanced management are analyzed: ‘Training and commitment’ and ‘fulfilling the requirements established by the current regulation’. The results show that foremen adopted a more pessimistic attitude than installers towards a joint commitment for waste management. Moreover, not all supervisors valued the importance of a site waste management plan, regulated by the Royal Decree 105/2008 in Spain.

Description: Forests are receiving more attention for the ecosystem goods and services they provide and the potential change agents that may affect forest health and productivity. Highlighting case examples from coastal forests in South Carolina, USA, we describe groundwater processes with respect to stressors and potential responses of a wetland-rich forested landscape, the roles that this area has served, and the need for water resource data to inform forest management decisions. Forested lands in the southeastern U.S. coastal plain provide a rich set of goods and services for the region, and in one case, the Francis Marion National Forest acts as a buffer to urbanization from the surrounding Charleston metropolitan area. Information from two decades of studies in the forested watersheds there may inform scientists and managers in other coastal forested systems. The common hydrological theme in this region, which has a higher average annual rainfall (1370 mm) than the annual potential evapotranspiration (PET = 1135 mm), is a shallow (〈3 m) water table condition that supports a large range of natural wetlands and also creates management challenges across the region. Modest changes in the position of the water table can lead to either groundwater flooding and concomitant management challenges for forest services, or ecosystem stresses related to dry conditions in wetlands during times of below-normal precipitation or due to groundwater withdrawal. Development pressures have also stressed forest resources through the extraction of materials such as timber and sand mining, and the conversion to housing construction materials. These areas are also targeted for land development, to meet housing demands. In this paper, we discuss the role of groundwater in coastal forests and highlight opportunities for collaborative studies to better inform forest resource management.

Description: Nowadays, any business manager is concerned about sustainability issues and is wondering how to implement social and environmental practices creating economic and social value at the same time. The implementation of social responsibility programs is justified by the benefits that result from a good relationship of the firm with key stakeholders. The present research investigates the links among firms’ relationship with stakeholders, firms’ champion behavior, stakeholders’ satisfaction and firms’ competitive success in regional contexts where social responsibility is promoted. Using the resource-based theory and the concept of shared value, a conceptual model is proposed in which a strong firm relationship with stakeholders will cause the stakeholder’ satisfaction and will help the firm to become a champion in the market, contributing to improved competitiveness. This empirical analysis was based on survey data through partial least squares structural equation modeling (PLS-SEM) from 130 Spanish firms in the Region of Extremadura. Participants were firm managers in regional clusters involved in the social responsibility journey promoted by the local government. The results suggest that a good relationship of the frim with stakeholders directly and positively influences firm competitive success, and also, it is enhanced by improvements in stakeholders’ satisfaction and firm champion behavior.

Description: Energy consumption in cellular networks is receiving significant attention from academia and the industry due to its significant potential economic and ecological influence. Energy efficiency and renewable energy are the main pillars of sustainability and environmental compatibility. Technological advancements and cost reduction for photovoltaics are making cellular base stations (BSs; a key source of energy consumption in cellular networks) powered by solar energy sources a long-term promising solution for the mobile cellular network industry. This paper addresses issues of deployment and operation of two solar-powered global system for mobile communications (GSM) BSs that are being deployed at present (GSM BS 2/2/2 and GSM BS 4/4/4). The study is based on the characteristics of South Korean solar radiation exposure. The optimum criteria as well as economic and technical feasibility for various BSs are analyzed using a hybrid optimization model for electric renewables. In addition, initial capital, replacement, operations, maintenance, and total net present costs for various solar-powered BSs are discussed. Furthermore, the economic feasibility of the proposed solar system is compared with conventional energy sources in urban and remote areas.

Description: The accurate peak power estimation of a battery pack is essential to the power-train control of electric vehicles (EVs). It helps to evaluate the maximum charge and discharge capability of the battery system, and thus to optimally control the power-train system to meet the requirement of acceleration, gradient climbing and regenerative braking while achieving a high energy efficiency. A novel online peak power estimation method for series-connected lithium-ion battery packs is proposed, which considers the influence of cell difference on the peak power of the battery packs. A new parameter identification algorithm based on adaptive ratio vectors is designed to online identify the parameters of each individual cell in a series-connected battery pack. The ratio vectors reflecting cell difference are deduced strictly based on the analysis of battery characteristics. Based on the online parameter identification, the peak power estimation considering cell difference is further developed. Some validation experiments in different battery aging conditions and with different current profiles have been implemented to verify the proposed method. The results indicate that the ratio vector-based identification algorithm can achieve the same accuracy as the repetitive RLS (recursive least squares) based identification while evidently reducing the computation cost, and the proposed peak power estimation method is more effective and reliable for series-connected battery packs due to the consideration of cell difference.

Description: Against the backdrop of increasingly serious global climate change and the development of the low-carbon economy, the coordination between energy consumption carbon emissions (ECCE) and regional population, resources, environment, economy and society has become an important subject. In this paper, the research focuses on the security early warning of ECCE in Hebei Province, China. First, an assessment index system of the security early warning of ECCE is constructed based on the pressure-state-response (P-S-R) model. Then, the variance method and linearity weighted method are used to calculate the security early warning index of ECCE. From the two dimensions of time series and spatial pattern, the security early warning conditions of ECCE are analyzed in depth. Finally, with the assessment analysis of the data from 2000 to 2014, the prediction of the security early warning of carbon emissions from 2015 to 2020 is given, using a back propagation neural network based on a kidney-inspired algorithm (KA-BPNN) model. The results indicate that: (1) from 2000 to 2014, the security comprehensive index of ECCE demonstrates a fluctuating upward trend in general and the trend of the alarm level is “Severe warning”–“Moderate warning”–“Slight warning”; (2) there is a big spatial difference in the security of ECCE, with relatively high-security alarm level in the north while it is relatively low in the other areas; (3) the security index shows the trend of continuing improvement from 2015 to 2020, however the security level will remain in the state of “Semi-secure” for a long time and the corresponding alarm is still in the state of “Slight warning”, reflecting that the situation is still not optimistic.

Description: Passive houses and other highly energy-efficient buildings need mechanical ventilation. However, ventilation systems in such houses are regarded with a certain degree of skepticism by parts of the public due to alleged negative health effects. Within a quasi-experimental field study, we investigated if occupants of two types of buildings (mechanical vs. natural ventilation) experience different health, wellbeing and housing satisfaction outcomes and if associations with indoor air quality exist. We investigated 123 modern homes (test group: with mechanical ventilation; control group: naturally ventilated) built in the years 2010 to 2012 in the same geographic area and price range. Interviews of occupants based on standardized questionnaires and measurements of indoor air quality parameters were conducted twice (three months after moving in and one year later). In total, 575 interviews were performed (respondents’ mean age 37.9 ± 9 years in the test group, 37.7 ± 9 years in the control group). Occupants of the test group rated their overall health status and that of their children not significantly higher than occupants of the control group at both time points. Adult occupants of the test group reported dry eyes statistically significantly more frequently compared to the control group (19.4% vs. 12.5%). Inhabitants of energy-efficient, mechanically ventilated homes rated the quality of indoor air and climate significantly higher. Self-reported health improved more frequently in the mechanically ventilated new homes (p = 0.005). Almost no other significant differences between housing types and measuring time points were observed concerning health and wellbeing or housing satisfaction. Associations between vegetative symptoms (dizziness, nausea, headaches) and formaldehyde concentrations as well as between CO2 levels and perceived stale air were observed. However, both associations were independent of the type of ventilation. In summary, occupants of the mechanically ventilated homes rated their health status slightly higher and their health improved significantly more frequently than in occupants of the control group. As humidity in homes with mechanical ventilation was lower, it seems plausible that the inhabitants reported dry eyes more frequently.

Description: The epidemiology of malaria, anaemia and malnutrition in children is potentially altered in mining development areas. In a copper extraction project in northwestern Zambia, a health impact assessment (HIA) was commissioned to predict, manage and monitor health impacts. Two cross-sectional surveys were conducted: at baseline prior to project development (2011) and at four years into development (2015). Prevalence of Plasmodium falciparum, anaemia and stunting were assessed in under-five-year-old children, while hookworm infection was assessed in children aged 9–14 years in communities impacted and comparison communities not impacted by the project. P. falciparum prevalence was significantly higher in 2015 compared to 2011 in both impacted and comparison communities (odds ratio (OR) = 2.51 and OR = 6.97, respectively). Stunting was significantly lower in 2015 in impacted communities only (OR = 0.63). Anaemia was slightly lower in 2015 compared to baseline in both impacted and comparison communities. Resettlement due to the project and migration background (i.e., moving into the area within the past five years) were generally associated with better health outcomes in 2015. We conclude that repeated cross-sectional surveys to monitor health in communities impacted by projects should become an integral part of HIA to deepen the understanding of changing patterns of health and support implementation of setting-specific public health measures.

Description: Vanadium dioxide (VO2) thermochromic thin films with various thicknesses were grown on quartz glass substrates by radio frequency (RF)-plasma assisted oxide molecular beam epitaxy (O-MBE). The crystal structure, morphology and chemical stoichiometry were investigated systemically by X-ray diffraction (XRD), atomic force microscopy (AFM), Raman spectroscopy and X-ray photoelectron spectroscopy (XPS) analyses. An excellent reversible metal-to-insulator transition (MIT) characteristics accompanied by an abrupt change in both electrical resistivity and optical infrared (IR) transmittance was observed from the optimized sample. Remarkably, the transition temperature (TMIT) deduced from the resistivity-temperature curve was reasonably consistent with that obtained from the temperature-dependent IR transmittance. Based on Raman measurement and XPS analyses, the observations were interpreted in terms of residual stresses and chemical stoichiometry. This achievement will be of great benefit for practical application of VO2-based smart windows.

Description: Poly(3,4-ethylenedioxythiophene) (PEDOT) films were prepared by electro-oxidation on Au microelectrodes in an aqueous solution. Electrolyte solutions and polymerization parameters were optimized prior to overoxidation. The effect of overoxidation time has been optimized by cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS), which results in the film overoxidized for 45 s at 1.35 V presenting a strong adsorption. The other one-step overoxidation film prepared by direct CV ranging from −0.6 V to 1.35 V was polymerized for comparison. Scanning electron microscope (SEM) analysis and Fourier transform infrared (FTIR) spectroscopy were used for monitoring morphological changes and the evolution of functional groups. Both of them indicate increased abundant oxygen functional groups and roughness, yet the products exhibit dendritic morphology and piles of spherical protrusions, respectively. Moreover, double-step overoxidized film showed better electrochemical performance toward lead ion sensing. These characterizations highlight some novel properties that may be beneficial for specific sensing applications.

Description: The extensive applications of multi-function radars (MFRs) have presented a great challenge to the technologies of radar countermeasures (RCMs) and electronic intelligence (ELINT). The recently proposed cognitive electronic warfare (CEW) provides a good solution, whose crux is to perceive present and future MFR behaviours, including the operating modes, waveform parameters, scheduling schemes, etc. Due to the variety and complexity of MFR waveforms, the existing approaches have the drawbacks of inefficiency and weak practicability in prediction. A novel method for MFR behaviour recognition and prediction is proposed based on predictive state representation (PSR). With the proposed approach, operating modes of MFR are recognized by accumulating the predictive states, instead of using fixed transition probabilities that are unavailable in the battlefield. It helps to reduce the dependence of MFR on prior information. And MFR signals can be quickly predicted by iteratively using the predicted observation, avoiding the very large computation brought by the uncertainty of future observations. Simulations with a hypothetical MFR signal sequence in a typical scenario are presented, showing that the proposed methods perform well and efficiently, which attests to their validity.

Description: The increase in the popularity of social media has shattered the gap between the physical and virtual worlds. The content generated by people or social sensors on social media provides information about users and their living surroundings, which allows us to access a user’s preferences, opinions, and interactions. This provides an opportunity for us to understand human behavior and enhance the services provided for both the real and virtual worlds. In this paper, we will focus on the popularity prediction of social images on Flickr, a popular social photo-sharing site, and promote the research on utilizing social sensory data in the context of assisting people to improve their life on the Web. Social data are different from the data collected from physical sensors; in the fact that they exhibit special characteristics that pose new challenges. In addition to their huge quantity, social data are noisy, unstructured, and heterogeneous. Moreover, they involve human semantics and contextual data that require analysis and interpretation based on human behavior. Accordingly, we address the problem of popularity prediction for an image by exploiting three main factors that are important for making an image popular. In particular, we investigate the impact of the image’s visual content, where the semantic and sentiment information extracted from the image show an impact on its popularity, as well as the textual information associated with the image, which has a fundamental role in boosting the visibility of the image in the keyword search results. Additionally, we explore social context, such as an image owner’s popularity and how it positively influences the image popularity. With a comprehensive study on the effect of the three aspects, we further propose to jointly consider the heterogeneous social sensory data. Experimental results obtained from real-world data demonstrate that the three factors utilized complement each other in obtaining promising results in the prediction of image popularity on social photo-sharing site.

Description: For achieving the development of a portable, low-cost and in vivo cancer diagnosis instrument, a laser 785 nm miniature Raman spectrometer was used to acquire the Raman spectra for breast cancer detection in this paper. However, because of the low spectral signal-to-noise ratio, it is difficult to achieve high discrimination accuracy by using the miniature Raman spectrometer. Therefore, a pattern recognition method of the adaptive net analyte signal (NAS) weight k-local hyperplane (ANWKH) is proposed to increase the classification accuracy. ANWKH is an extension and improvement of K-local hyperplane distance nearest-neighbor (HKNN), and combines the advantages of the adaptive weight k-local hyperplane (AWKH) and the net analyte signal (NAS). In this algorithm, NAS was first used to eliminate the influence caused by other non-target factors. Then, the distance between the test set samples and hyperplane was calculated with consideration of the feature weights. The HKNN only works well for small values of the nearest-neighbor. However, the accuracy decreases with increasing values of the nearest-neighbor. The method presented in this paper can resolve the basic shortcoming by using the feature weights. The original spectra are projected into the vertical subspace without the objective factors. NAS was employed to obtain the spectra without irrelevant information. NAS can improve the classification accuracy, sensitivity, and specificity of breast cancer early diagnosis. Experimental results of Raman spectra detection in vitro of breast tissues showed that the proposed algorithm can obtain high classification accuracy, sensitivity, and specificity. This paper demonstrates that the ANWKH algorithm is feasible for early clinical diagnosis of breast cancer in the future.

Description: Nitrogen is an essential nutrient in many terrestrial ecosystems because it affects vegetation’s primary production. Due to the variety of nitrogen-containing substances and the differences in their composition across species, statistical approaches are now dominant in remote sensing retrieval of leaf nitrogen content. Many studies remove spectral regions characterized by strong water absorptions before retrieving nitrogen content, because water is believed to mask the absorption features of nitrogen. The objectives of this study are to discuss the necessity of this practice and to explore how water absorption affects leaf nitrogen estimation. Spectral measurements and chemical analyses for Maize, Sawtooth Oak, and Sweetgum leaves were carried out in 2014. The leaf optical properties model PROSPECT5 was used to eliminate the influences of water on the measured reflectance spectra. The inversion accuracy of PROPECT5 for chlorophyll, carotenoid, water, and dry matter of Maize was also discussed. Measured, simulated, and water-removed spectra were used to: (1) find the optimal nitrogen-related spectral index; and (2) regress with the area-based leaf nitrogen concentration (LNC) using the partial least square regression technique (PLSR). Two types of spectral indices were selected in this study: Normalized Difference Spectral Index (NDSI) and Ratio Spectral Index (RSI). Additionally, first-order derivative forms of measured, simulated, and water-removed spectra were devised to search for the optimal spectral indices. Finally, species-specific optimal indices and cross-species optimal indices, as well as their root mean square errors (RMSE) and coefficients of determination (R2), were obtained. The Ending Top Percentile (ETP), an indicator of the performance of cross-species optimal indices, was also calculated. PLSR was combined with leave-one-out cross validation (LOOCV) for each species. The predicted root mean square errors (RMSEP) and predicted R2 were finally calculated. The results showed that chlorophyll, carotenoid, and water contents could be estimated with R2 of 0.75, 0.59, and 0.69, respectively, which were acceptable for fresh leaves. The dry matter was retrieved with a relatively lower accuracy because of the fixed absorption coefficients adopted by PROSPECT5. The performances of species-specific optimal indices using water-free spectra were comparable to or worse than the corresponding indices derived with measured or simulated spectra. Compared with measured spectra, ETP did not change much after the effects of water were removed, and the R2 between cross-species optimal spectral indices and area-based LNC for Sawtooth Oak and Sweetgum decreased while it remained almost the same for Maize, suggesting that the water-removed cross-species optimal indices were inferior to the corresponding optimal indices found without water removal. ETP was larger than 30% for all spectra, demonstrating the non-existence of common optimal NDSI or RSI for the three species. After water removal, the accuracy of PLSR for Sawtooth Oak and Sweetgum decreased and increased negligibly for Maize. The results suggest that water absorption has limited effects on reducing the accuracy of leaf nitrogen estimation. On the contrary, the accuracy may decrease due to the loss of spectral information caused by the removal of water-sensitive spectral regions.

Description: Urban roads constitute most of the existing roads and they are directly managed by small administrations. Normally, these small administrations do not have sufficient funds or sufficient qualified personnel to carry out this task. This paper deals with an easy-implementation Pavement Management System (PMS) to develop strategies to maintain, preserve and rehabilitate urban roads. The proposed method includes the creation of the road network inventory, the visual surveys of the pavement and the evaluation of its condition by the Pavement Condition Index (PCI). The method intends to give a valid tool to road managers to compare alternative maintenance strategies and perform the priority analysis on the network. With this aim, the procedure assesses the Vehicle Operating Costs (VOC) by a written regression between PCI and International Roughness Index (IRI). The proposed method has several advantages because it can be easily adapted to various situations and it does not require a large amount of time and money for its implementation.

Description: In this paper, three opportunistic pressure based routing techniques for underwater wireless sensor networks (UWSNs) are proposed. The first one is the cooperative opportunistic pressure based routing protocol (Co-Hydrocast), second technique is the improved Hydrocast (improved-Hydrocast), and third one is the cooperative improved Hydrocast (Co-improved Hydrocast). In order to minimize lengthy routing paths between the source and the destination and to avoid void holes at the sparse networks, sensor nodes are deployed at different strategic locations. The deployment of sensor nodes at strategic locations assure the maximum monitoring of the network field. To conserve the energy consumption and minimize the number of hops, greedy algorithm is used to transmit data packets from the source to the destination. Moreover, the opportunistic routing is also exploited to avoid void regions by making backward transmissions to find reliable path towards the destination in the network. The relay cooperation mechanism is used for reliable data packet delivery, when signal to noise ratio (SNR) of the received signal is not within the predefined threshold then the maximal ratio combining (MRC) is used as a diversity technique to improve the SNR of the received signals at the destination. Extensive simulations validate that our schemes perform better in terms of packet delivery ratio and energy consumption than the existing technique; Hydrocast.

Description: Regions dependent on agricultural production are concerned about the uncertainty associated with climate change. Extreme drought and flooding events are predicted to occur with greater frequency, requiring mitigation strategies to reduce their negative impacts. Multi-purpose local farm water retention systems can reduce water stress during drought periods by supporting irrigation. The retention systems’ capture of excess spring runoff and extreme rainfall events also reduces flood potential downstream. Retention systems may also be used for biomass production and nutrient retention. A sub-watershed scale retention system was analysed using a dynamic simulation model to predict the economic advantages in the future. Irrigated crops using water from the downstream reservoir at Pelly’s Lake, Manitoba, Canada, experienced a net decrease in gross margin in the future due to the associated irrigation and reservoir infrastructure costs. However, the multi-purpose benefits of the retention system at Pelly’s Lake of avoided flood damages, nutrient retention, carbon sequestration, and biomass production provide an economic benefit of $25,507.00/hectare of retention system/year. Multi-purpose retention systems under future climate uncertainty provide economic and environmental gains when used to avoid flood damages, for nutrient retention and carbon sequestration, and biomass production. The revenue gained from these functions can support farmers willing to invest in irrigation while providing economic and environmental benefits to the region.

Description: Carbon allowances traded in the EU-Emission Trading Scheme (EU-ETS) were initially designed as an economic motivation for efficiently curbing greenhouse as emissions, but now it mimics quite a few characteristics of financial assets, and have now been used as a candidate product in building financial portfolios. In this study, we examine the time-varying correlations between carbon allowance prices with other financial indices, during the third phase of EU-ETS. The results show that, at the beginning of this period, carbon price was still strongly corrected with other financial indices. However, this connection was weakened over time. Given the relative independence of carbon assets from other financial assets, we argue for the diversification benefits of including carbon assets in financial portfolios, and building such portfolios, respectively, with the traditional global minimum variance (GMV) strategy, the mean-variance-OGARCH (MV-OGARCH) strategy, and the dynamic conditional correlation (DCC) strategy. It is shown that the portfolio built with the MV-OGARCH strategy far out-performs the others and that including carbon assets in financial portfolios does help reduce investment risks.

Description: In this study, we evaluated the physicochemical and microbial qualities of source and stored household waters in some communities in Southwestern Nigeria using standard methods. Compared parameters include: physicochemical constituents; Temperature (T), pH, Total Dissolved Solids (TDS), Total Hardness (TH), Biological Oxygen Demand (BOD), Magnesium ion (Mg2+) and Calcium ion (Ca2+) and microbiological parameters included Total Coliform Counts (TC), Faecal Coliform Counts (FC), Fungal Counts (Fung C), Heterotrophic Plate Counts (HPC).Comparing Stored and Source samples, the mean values of some physicochemical parameters of most of the stored water samples significantly (p 〈 0.05) exceeded that of Sources and ranged in the following order: T (15.3 ± 0.3 °C–28.3 ± 0.5 °C), pH (6.4 ± 0.1–7.6 ± 0.1), TDS (192.1 ± 11.1 ppm–473.7 ± 27.9 ppm), TH (10.6 ± 1.7 mg/L–248.6 ± 18.6 mg/L), BOD (0.5 ± 0.0 mg/L–3.2 ± 0.3 mg/L), Mg2+ (6.5 ± 2.4 mg/L–29.1 ± 3.2 mg/L) and Ca2+ (6.5 ± 2.4 mg/L–51.6 ± 4.4 mg/L). The mean microbial counts obtained from microbial comparison of different points (Stored and Source) of collection showed that most of the stored water had counts significantly exceeding (p 〈 0.05) those of the source water samples (cfu/100 mL) which ranged as follows: TC (3.1 ± 1.5–156.8 ± 42.9), FC (0.0 ± 0.0–64.3 ± 14.2) and HPC (47.8 ± 12.1–266.1 ± 12.2) across all sampled communities. Also, the predominant isolates recovered from the samples were identified as Escherichia coli, Klebsiella pneumonia, Pseudomonas aeruginosa, Enterobacter aerogenes, Aspergillus spp., Mucor spp., Rhizopus spp. and Candida spp. The presence of these pathogenic and potentially pathogenic organisms in the waters and the high counts of the indicator organisms suggest the waters to be a threat to public health.

Description: Radar imaging based on electromagnetic vortex can achieve azimuth resolution without relative motion. The present paper investigates this imaging technique with the use of a single receiving antenna through theoretical analysis and experimental results. Compared with the use of multiple receiving antennas, the echoes from a single receiver cannot be used directly for image reconstruction using Fourier method. The reason is revealed by using the point spread function. An additional phase is compensated for each mode before imaging process based on the array parameters and the elevation of the targets. A proof-of-concept imaging system based on a circular phased array is created, and imaging experiments of corner-reflector targets are performed in an anechoic chamber. The azimuthal image is reconstructed by the use of Fourier transform and spectral estimation methods. The azimuth resolution of the two methods is analyzed and compared through experimental data. The experimental results verify the principle of azimuth resolution and the proposed phase compensation method.

Description: Elderburbs, defined as old suburban neighborhoods in terms of their ‘built environments’ and ‘demographic structures’, have emerged prominently in academic discussion due to the social vulnerability and outdated built environments of senior dominant neighborhoods that barely meet the needs of their aging populations. Even though previous literature has revealed concerns about suburban decline and the growing number of seniors, these two points of interest have largely been examined in isolation from one another. Thus, this paper attempts to unveil the spatial and social morphology of Elderburbs in 20 U.S. metropolitan areas from 1990 to 2010. Elderburbs were identified by two major criteria; built year (first-generation suburbs built between 1950 and 1970) and demographic aging (based on elderly, elderly-child, and elderly dependency ratios). The findings of this study indicate that Elderburbs have increased and expanded out to suburban areas, especially in the Northeast and Midwest. On the contrary, Elderburbs in the South have decreased and moved closer to core cities. Differing from our assumptions, both Elderburbs and Elderurbans were found to be less socially vulnerable than ordinary suburban and urban neighborhoods.

Description: With rapid urbanization, highly accurate and semantically rich virtualization of building assets in 3D become more critical for supporting various applications, including urban planning, emergency response and location-based services. Many research efforts have been conducted to automatically reconstruct building models at city-scale from remotely sensed data. However, developing a fully-automated photogrammetric computer vision system enabling the massive generation of highly accurate building models still remains a challenging task. One the most challenging task for 3D building model reconstruction is to regularize the noises introduced in the boundary of building object retrieved from a raw data with lack of knowledge on its true shape. This paper proposes a data-driven modeling approach to reconstruct 3D rooftop models at city-scale from airborne laser scanning (ALS) data. The focus of the proposed method is to implicitly derive the shape regularity of 3D building rooftops from given noisy information of building boundary in a progressive manner. This study covers a full chain of 3D building modeling from low level processing to realistic 3D building rooftop modeling. In the element clustering step, building-labeled point clouds are clustered into homogeneous groups by applying height similarity and plane similarity. Based on segmented clusters, linear modeling cues including outer boundaries, intersection lines, and step lines are extracted. Topology elements among the modeling cues are recovered by the Binary Space Partitioning (BSP) technique. The regularity of the building rooftop model is achieved by an implicit regularization process in the framework of Minimum Description Length (MDL) combined with Hypothesize and Test (HAT). The parameters governing the MDL optimization are automatically estimated based on Min-Max optimization and Entropy-based weighting method. The performance of the proposed method is tested over the International Society for Photogrammetry and Remote Sensing (ISPRS) benchmark datasets. The results show that the proposed method can robustly produce accurate regularized 3D building rooftop models.

Description: Strain heterogeneities at the ductile to brittle transition; a case study on ice Thomas Chauve, Maurine Montagnat, Cédric Lachaud, David Georges, and Pierre Vacher Solid Earth Discuss., doi:10.5194/se-2017-24,2017 Manuscript under review for SE (discussion: open, 0 comments) For the first time, Digital Image Correlation was used to follow strain field development during micro cracking, at the ductile to brittle transition in polycrystalline ice. Owing to the high temperature conditions of the tests, dynamic recrystallization mechanisms (nucleation and sub-grain rotation) efficiently participate to the stress redistribution during and after crack opening, and even lead to local crack closure.

Description: As a stressful and sensitive task, driving can be disturbed by various factors from the health condition of the driver to the environmental variables of the vehicle. Continuous monitoring of driving hazards and providing the most appropriate business services to meet actual needs can guarantee safe driving and make great use of the existing information resources and business services. However, there is no in-depth research on the perception of a driver’s health status or the provision of customized business services in case of various hazardous situations. In order to constantly monitor the health status of the drivers and react to abnormal situations, this paper proposes a context-aware service system providing a configurable architecture for the design and implementation of the smart health service system for safe driving, which can perceive a driver’s health status and provide helpful services to the driver. With the context-aware technology to construct a smart health services system for safe driving, this is the first time that such a service system has been implemented in practice. Additionally, an assessment model is proposed to mitigate the impact of the acceptable abnormal status and, thus, reduce the unnecessary invocation of the services. With regard to different assessed situations, the business services can be invoked for the driver to adapt to hazardous situations according to the services configuration model, which can take full advantage of the existing information resources and business services. The evaluation results indicate that the alteration of the observed status in a valid time range T can be tolerated and the frequency of the service invocation can be reduced.

Description: In the dual-axis rotation inertial navigation system (INS), besides the gyro error, accelerometer error, rolling misalignment angle error, and the gimbal angle error, the shaft swing angle and the axis non-orthogonal angle also affect the attitude accuracy. Through the analysis of the structure, we can see that the shaft swing angle and axis non-orthogonal angle will produce coning errors which cause the fluctuation of the attitude. According to the analysis of the rotation vector, it can be seen that the coning error will generate additional drift velocity along the rotating shaft, which can reduce the navigation precision of the system. In this paper, based on the establishment of the modulation average frame, the vector projection is carried out, and then the attitude conversion matrix and the attitude error matrix mainly including the shaft swing angle and axis non-orthogonal are obtained. Because the attitude angles are given under the static condition, the shaft swing angle and the axis non-orthogonal angle are estimated by the static Kalman filter (KF). This kind of KF method has been widely recognized as the standard optimal estimation tool for estimating the parameters such as coning angles (α1 , α2), initial phase angles (ϕ1,ϕ2), and the non-perpendicular angle (η). In order to carry out the system level verification, a dual axis rotation INS is designed. Through simulation and experiments, the results show that the amplitudes of the attitude angles’ variation are reduced by about 20%–30% when the shaft rotates. The attitude error equation is reasonably simplified and the calibration method is accurate enough. The attitude accuracy is further improved.

Description: Defocus of the reconstructed image of synthetic aperture radar (SAR) occurs in the presence of the phase error. In this work, a phase error correction method is proposed for compressed sensing (CS) radar imaging based on approximated observation. The proposed method has better image focusing ability with much less memory cost, compared to the conventional approaches, due to the inherent low memory requirement of the approximated observation operator. The one-dimensional (1D) phase error correction for approximated observation-based CS-SAR imaging is first carried out and it can be conveniently applied to the cases of random-frequency waveform and linear frequency modulated (LFM) waveform without any a priori knowledge. The approximated observation operators are obtained by calculating the inverse of Omega-K and chirp scaling algorithms for random-frequency and LFM waveforms, respectively. Furthermore, the 1D phase error model is modified by incorporating a priori knowledge and then a weighted 1D phase error model is proposed, which is capable of correcting two-dimensional (2D) phase error in some cases, where the estimation can be simplified to a 1D problem. Simulation and experimental results validate the effectiveness of the proposed method in the presence of 1D phase error or weighted 1D phase error.