ALBERT

Description / Table of Contents: Today, sustainability of a healthy freshwater ecosystem and its associated ecosystem services are hot issues with ever-growing attention placed upon them. We are increasingly recognizing that they are crucial for the survival of the aquatic biota and human beings on our planet. The efficient monitoring of water resources is fundamental for effective management of water quality and aquatic ecosystems. The first stage in sustainable ecosystem management is the evaluation of the current status of target ecosystems. Traditionally, and even today, physico-chemical parameters have mainly been used to evaluate the quality of water resources. However, they have a large limit to grab the wholeness of water system, particularly in the sense of ecosystem health and integrity, for which ecological monitoring should be based on biological factors. Various approaches are applicable to ecosystem health assessment at different levels of the biological hierarchy, from genes to ecosystems. This Special Issue is designed to improve scientific understanding and strategies for sound aquatic ecosystem management and services for researchers, decision makers, and stakeholders.

Description / Table of Contents: Falcinelli, S.; Pirani, F.; Vecchiocattivi, F. The Possible Role of Penning Ionization Processes in Planetary Atmospheres. Atmosphere 2015, 6(3), 299-317; doi:10.3390/atmos6030299 --- Park, S.; Seo, B.; Lee, G.; Kahng, S.; Jang, Y. Chemical Composition of Water Soluble Inorganic Species in Precipitation at Shihwa Basin, Korea. Atmosphere 2015, 6(6), 732-750; doi:10.3390/atmos6060732 --- Kassianov, E.; Berg, L.; Pekour, M.; Barnard, J.; Chand, D.; Flynn, C.; Ovchinnikov, M.; Sedlacek, A.; Schmid, B.; Shilling, J.; Tomlinson, J.; Fast, J. Airborne Aerosol in Situ Measurements during TCAP: A Closure Study of Total Scattering. Atmosphere 2015, 6(8), 1069-1101; doi:10.3390/atmos6081069 --- Majewski, G.; Rogula-Kozłowska, W.; Czechowski, P.; Badyda, A.; Brandyk, A. The Impact of Selected Parameters on Visibility: First Results from a Long-Term Campaign in Warsaw, Poland. Atmosphere 2015, 6(8), 1154-1174; doi:10.3390/atmos6081154 --- Khwaja, H.; Aburizaiza, O.; Hershey, D.; Siddique, A.; E., D.; Zeb, J.; Abbass, M.; Blake, D.; Hussain, M.; Aburiziza, A.; Kramer, M.; Simpson, I. Study of Black Sand Particles from Sand Dunes in Badr, Saudi Arabia Using Electron Microscopy. Atmosphere 2015, 6(8), 1175-1194; doi:10.3390/atmos6081175 --- Wu, Z.; Liu, F.; Fan, W. Characteristics of PM10 and PM2.5 at Mount Wutai Buddhism Scenic Spot, Shanxi, China. Atmosphere 2015, 6(8), 1195-1210; doi:10.3390/atmos6081195 --- Saldarriaga-Noreña, H.; López-Márquez, R.; Murillo-Tovar, M.; Hernández-Mena, L.; Ospina-Noreña, E.; Sánchez-Salinas, E.; Waliszewski, S.; Montiel-Palma, S. Analysis of PAHs Associated with Particulate Matter PM2.5 in Two Places at the City of Cuernavaca, Morelos, México. Atmosphere 2015, 6(9), 1259-1270; doi:10.3390/atmos6091259 --- Faxon, C.; Bean, J.; Ruiz, L. Inland Concentrations of Cl2 and ClNO2 in Southeast Texas Suggest Chlorine Chemistry Significantly Contributes to Atmospheric Reactivity. Atmosphere 2015, 6(10), 1487-1506; doi:10.3390/atmos6101487 --- Asa-Awuku, A.; Sorooshian, A.; Flagan, R.; Seinfeld, J.; Nenes, A. CCN Properties of Organic Aerosol Collected Below and within Marine Stratocumulus Clouds near Monterey, California. Atmosphere 2015, 6(11), 1590-1607; doi:10.3390/atmos6111590 --- Yang, M.; Wang, Y.; Liu, Q.; Ding, A.; Li, Y. The Influence of Sandstorms and Long-Range Transport on Polycyclic Aromatic Hydrocarbons (PAHs) in PM2.5 in the High-Altitude Atmosphere of Southern China. Atmosphere 2015, 6(11), 1633-1651; doi:10.3390/atmos6111633 --- Rubio, M.; Lissi, E.; Gramsch, E.; Garreaud, R. Effect of Nearby Forest Fires on Ground Level Ozone Concentrations in Santiago, Chile. Atmosphere 2015, 6(12), 1926-1938; doi:10.3390/atmos6121838 --- Lopez, D.; Rabbani, M.; Crosbie, E.; Raman, A.; Arellano, A.; Sorooshian, A. Frequency and Character of Extreme Aerosol Events in the Southwestern United States: A Case Study Analysis in Arizona. Atmosphere 2016, 7(1), 1; doi:10.3390/atmos7010001 --- Stovern, M.; Guzmán, H.; Rine, K.; Felix, O.; King, M.; Ela, W.; Betterton, E.; Sáez, A. Windblown Dust Deposition Forecasting and Spread of Contamination around Mine Tailings. Atmosphere 2016, 7(2), 16; doi:10.3390/atmos7020016 --- Raman, A.; Arellano, A.; Sorooshian, A. Decreasing Aerosol Loading in the North American Monsoon Region. Atmosphere 2016, 7(2), 24; doi:10.3390/atmos7020024 --- Hetem, I.; Andrade, M. Characterization of Fine Particulate Matter Emitted from the Resuspension of Road and Pavement Dust in the Metropolitan Area of São Paulo, Brazil. Atmosphere 2016, 7(3), 31; doi:10.3390/atmos7030031

Description / Table of Contents: Frederiks, E.; Stenner, K.; Hobman, E. The Socio-Demographic and Psychological Predictors of Residential Energy Consumption: A Comprehensive Review. Energies 2015, 8(1), 573-609; doi:10.3390/en8010573 --- Sun, W.; He, Y.; Chang, H. Forecasting Fossil Fuel Energy Consumption for Power Generation Using QHSA-Based LSSVM Model. Energies 2015, 8(2), 939-959; doi:10.3390/en8020939 --- Gutierrez-Escolar, A.; Castillo-Martinez, A.; Gomez-Pulido, J.; Gutierrez-Martinez, J.; Stapic, Z.; Medina-Merodio, J. A Study to Improve the Quality of Street Lighting in Spain. Energies 2015, 8(2), 976-994; doi:10.3390/en8020976 --- Chew, K.; Klemeš, J.; Alwi, S.; Manan, Z.; Reverberi, A. Total Site Heat Integration Considering Pressure Drops. Energies 2015, 8(2), 1114-1137; doi:10.3390/en8021114 --- Kim, S.; Shin, K.; Choi, B.; Jo, J.; Cho, S.; Cho, Y. A Study on the Variation of Heating and Cooling Load According to the Use of Horizontal Shading and Venetian Blinds in Office Buildings in Korea. Energies 2015, 8(2), 1487-1504; doi:10.3390/en8021487 --- Sheng, P.; Yang, J.; Shackman, J. Energy’s Shadow Price and Energy Efficiency in China: A Non-Parametric Input Distance Function Analysis. Energies 2015, 8(3), 1975-1989; doi:10.3390/en8031975 --- Benavides, C.; Gonzales, L.; Diaz, M.; Fuentes, R.; García, G.; Palma-Behnke, R.; Ravizza, C. The Impact of a Carbon Tax on the Chilean Electricity Generation Sector. Energies 2015, 8(4), 2674-2700; doi:10.3390/en8042674 --- Li, W.; Li, H.; Sun, S. China’s Low-Carbon Scenario Analysis of CO2 Mitigation Measures towards 2050 Using a Hybrid AIM/CGE Model. Energies 2015, 8(5), 3529-3555; doi:10.3390/en8053529 --- Nasirov, S.; Silva, C.; Agostini, C. Investors’ Perspectives on Barriers to the Deployment of Renewable Energy Sources in Chile. Energies 2015, 8(5), 3794-3814; doi:10.3390/en8053794 --- Deng, X.; Yu, Y.; Liu, Y. Temporal and Spatial Variations in Provincial CO2 Emissions in China from 2005 to 2015 and Assessment of a Reduction Plan. Energies 2015, 8(5), 4549-4571; doi:10.3390/en8054549 --- Klimscheffskij, M.; Van Craenenbroeck, T.; Lehtovaara, M.; Lescot, D.; Tschernutter, A.; Raimundo, C.; Seebach, D.; Timpe, C. Residual Mix Calculation at the Heart of Reliable Electricity Disclosure in Europe—A Case Study on the Effect of the RE-DISS Project. Energies 2015, 8(6), 4667-4696; doi:10.3390/en8064667 --- Ferrara, R. The Smart City and the Green Economy in Europe: A Critical Approach. Energies 2015, 8(6), 4724-4734; doi:10.3390/en8064724 --- Stenner, K.; Nwokora, Z. Current and Future Friends of the Earth: Assessing Cross-National Theories of Environmental Attitudes. Energies 2015, 8(6), 4899-4919; doi:10.3390/en8064899 --- Atlason, R.; Oddsson, G.; Unnthorsson, R. Theorizing for Maintenance Management Improvements: Using Case Studies from the Icelandic Geothermal Sector. Energies 2015, 8(6), 4943-4962; doi:10.3390/en8064943 --- Ellenbeck, S.; Beneking, A.; Ceglarz, A.; Schmidt, P.; Battaglini, A. Security of Supply in European Electricity Markets—Determinants of Investment Decisions and the European Energy Union. Energies 2015, 8(6), 5198-5216; doi:10.3390/en8065198 --- Hasager, C.; Vincent, P.; Badger, J.; Badger, M.; Di Bella, A.; Peña, A.; Husson, R.; Volker, P. Using Satellite SAR to Characterize the Wind Flow around Offshore Wind Farms. Energies 2015, 8(6), 5413-5439; doi:10.3390/en8065413 --- Puigjaner, L.; Pérez-Fortes, M.; Laínez-Aguirre, J. Towards a Carbon-Neutral Energy Sector: Opportunities and Challenges of Coordinated Bioenergy Supply Chains-A PSE Approach. Energies 2015, 8(6), 5613-5660; doi:10.3390/en8065613 --- Thollander, P.; Palm, J. Industrial Energy Management Decision Making for Improved Energy Efficiency—Strategic System Perspectives and Situated Action in Combination. Energies 2015, 8(6), 5694-5703; doi:10.3390/en8065694 --- Jänicke, M. Horizontal and Vertical Reinforcement in Global Climate Governance. Energies 2015, 8(6), 5782-5799; doi:10.3390/en8065782 --- Benavides, C.; Gonzales, L.; Diaz, M.; Fuentes, R.; García, G.; Palma-Behnke, R.; Ravizza, C. Correction: The Impact of a Carbon Tax on the Chilean Electricity Generation Sector. Energies 2015, 8(6), 6247-6248; doi:10.3390/en8066247 --- Wang, W.; Ouyang, W.; Hao, F. A Supply-Chain Analysis Framework for Assessing Densified Biomass Solid Fuel Utilization Policies in China. Energies 2015, 8(7), 7122-7139; doi:10.3390/en8077122 --- Punys, P.; Dumbrauskas, A.; Kasiulis, E.; Vyčienė, G.; Šilinis, L. Flow Regime Changes: From Impounding a Temperate Lowland River to Small Hydropower Operations. Energies 2015, 8(7), 7478-7501; doi:10.3390/en8077478 --- Reid, G.; Wynn, G. The Future of Solar Power in the United Kingdom. Energies 2015, 8(8), 7818-7832; doi:10.3390/en8087818 --- Scott, C.; Sugg, Z. Global Energy Development and Climate-Induced Water Scarcity—Physical Limits, Sectoral Constraints, and Policy Imperatives. Energies 2015, 8(8), 8211-8225; doi:10.3390/en8088211 --- Lilliestam, J.; Patt, A. Barriers, Risks and Policies for Renewables in the Gulf States. Energies 2015, 8(8), 8263-8285; doi:10.3390/en8088263 --- Van Ackere, S.; Van Eetvelde, G.; Schillebeeckx, D.; Papa, E.; Van Wyngene, K.; Vandevelde, L. Wind Resource Mapping Using Landscape Roughness and Spatial Interpolation Methods. Energies 2015, 8(8), 8682-8703; doi:10.3390/en8088682 --- Komendantova, N.; Vocciante, M.; Battaglini, A. Can the BestGrid Process Improve Stakeholder Involvement in Electricity Transmission Projects?. Energies 2015, 8(9), 9407-9433; doi:10.3390/en8099407 --- Kiyar, D.; Wittneben, B. Carbon as Investment Risk—The Influence of Fossil Fuel Divestment on Decision Making at Germany’s Main Power Providers. Energies 2015, 8(9), 9620-9639; doi:10.3390/en8099620 --- Bernardes, L.; Carneiro, J.; Madureira, P.; Brandão, F.; Roque, C. Determination of Priority Study Areas for Coupling CO2 Storage and CH4 Gas Hydrates Recovery in the Portuguese Offshore Area. Energies 2015, 8(9), 10276-10292; doi:10.3390/en80910276 --- Dovì, V.; Battaglini, A. Energy Policy and Climate Change: A Multidisciplinary Approach to a Global Problem. Energies 2015, 8(12), 13473-13480; doi:10.3390/en81212379

Description / Table of Contents: The use of agent-based models (ABMs) and modelling for understanding landscape change and dynamics continues to grow. One reason for the popularity of ABMs is that they provide a framework to represent multiple, discrete, multi-faceted, heterogeneous actors (human or otherwise) and their relationships and interactions between one another and their environment, through time and across space. This special issue seeks to showcase innovative uses of ABMs for investigating and explaining landscape change and dynamics and to explore and identify how researchers in different disciplines can learn from one another to further innovate. Thus, this special issue will emphasise multidisciplinary dialogue between researchers using ABM in physical geography, hydrology, ecology, land change science, economics, alternative histories, archaeology, sociology, psychology and others. Innovation may come in the form of computational, conceptual, analytical, participatory or epistemological advances in the use of ABM for a range of aims and motivations associated with landscape change and dynamics. Modelling advances may include new ways of representing agent decisions and/or interactions, establishing and evaluating model structures and rules, presenting and visualising change, multi-scale analysis, comparative techniques, narrative methods, and more. The presentation of innovative agent-based modelling from diverse research backgrounds and perspectives will demonstrate opportunities for learning and enable dialogue to enhance future use of ABMs for understanding landscape change.

Description / Table of Contents: Belle, J.; Liu, Y. Evaluation of Aqua MODIS Collection 6 AOD Parameters for Air Quality Research over the Continental United States. Remote Sens. 2016, 8(10), 815; doi:10.3390/rs8100815. http://www.mdpi.com/2072-4292/8/10/815 --- Sun, K.; Chen, X.; Zhu, Z.; Zhang, T. High Resolution Aerosol Optical Depth Retrieval Using Gaofen-1 WFV Camera Data. Remote Sens. 2017, 9(1), 89; doi:10.3390/rs9010089. http://www.mdpi.com/2072-4292/9/1/89 --- Chen, X.; Yang, D.; Cai, Z.; Liu, Y.; Spurr, R. Aerosol Retrieval Sensitivity and Error Analysis for the Cloud and Aerosol Polarimetric Imager on Board TanSat: The Effect of Multi-Angle Measurement. Remote Sens. 2017, 9(2), 183; doi:10.3390/rs9020183. http://www.mdpi.com/2072-4292/9/2/183 --- Jiang, M.; Sun, W.; Yang, G.; Zhang, D. Modelling Seasonal GWR of Daily PM2.5 with Proper Auxiliary Variables for the Yangtze River Delta. Remote Sens. 2017, 9(4), 346; doi:10.3390/rs9040346. http://www.mdpi.com/2072-4292/9/4/346 --- Wang, Y.; Chen, L.; Li, S.; Wang, X.; Yu, C.; Si, Y.; Zhang, Z. Interference of Heavy Aerosol Loading on the VIIRS Aerosol Optical Depth (AOD) Retrieval Algorithm. Remote Sens. 2017, 9(4), 397; doi:10.3390/rs9040397. http://www.mdpi.com/2072-4292/9/4/397 --- Wang, W.; Mao, F.; Pan, Z.; Du, L.; Gong, W. Validation of VIIRS AOD through a Comparison with a Sun Photometer and MODIS AODs over Wuhan. Remote Sens. 2017, 9(5), 403; doi:10.3390/rs9050403. http://www.mdpi.com/2072-4292/9/5/403 --- Zhu, J.; Xia, X.; Wang, J.; Che, H.; Chen, H.; Zhang, J.; Xu, X.; Levy, R.; Oo, M.; Holz, R.; Ayoub, M. Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain. Remote Sens. 2017, 9(5), 432; doi:10.3390/rs9050432. http://www.mdpi.com/2072-4292/9/5/432 --- Dolgii, S.; Nevzorov, A.; Nevzorov, A.; Romanovskii, O.; Kharchenko, O. Intercomparison of Ozone Vertical Profile Measurements by Differential Absorption Lidar and IASI/MetOp Satellite in the Upper Troposphere–Lower Stratosphere. Remote Sens. 2017, 9(5), 447; doi:10.3390/rs9050447. http://www.mdpi.com/2072-4292/9/5/447 --- Liu, L.; Zhang, X.; Xu, W.; Liu, X.; Lu, X.; Wang, S.; Zhang, W.; Zhao, L. Ground Ammonia Concentrations over China Derived from Satellite and Atmospheric Transport Modeling. Remote Sens. 2017, 9(5), 467; doi:10.3390/rs9050467. http://www.mdpi.com/2072-4292/9/5/467 --- Chen, W.; Fan, A.; Yan, L. Performance of MODIS C6 Aerosol Product during Frequent Haze-Fog Events: A Case Study of Beijing. Remote Sens. 2017, 9(5), 496; doi:10.3390/rs9050496. http://www.mdpi.com/2072-4292/9/5/496 --- Osorio, M.; Casaballe, N.; Belsterli, G.; Barreto, M.; Gómez, Á.; Ferrari, J.; Frins, E. Plume Segmentation from UV Camera Images for SO2 Emission Rate Quantification on Cloud Days. Remote Sens. 2017, 9(6), 517; doi:10.3390/rs9060517. http://www.mdpi.com/2072-4292/9/6/517 --- Gu, J.; Chen, L.; Yu, C.; Li, S.; Tao, J.; Fan, M.; Xiong, X.; Wang, Z.; Shang, H.; Su, L. Ground-Level NO2 Concentrations over China Inferred from the Satellite OMI and CMAQ Model Simulations. Remote Sens. 2017, 9(6), 519; doi:10.3390/rs9060519. http://www.mdpi.com/2072-4292/9/6/519 --- Wang, Y.; Wang, J.; Levy, R.; Xu, X.; Reid, J. MODIS Retrieval of Aerosol Optical Depth over Turbid Coastal Water. Remote Sens. 2017, 9(6), 595; doi:10.3390/rs9060595. http://www.mdpi.com/2072-4292/9/6/595 --- Kim, D.; Lee, H.; Hong, H.; Choi, W.; Lee, Y.; Park, J. Estimation of Surface NO2 Volume Mixing Ratio in Four Metropolitan Cities in Korea Using Multiple Regression Models with OMI and AIRS Data. Remote Sens. 2017, 9(6), 627; doi:10.3390/rs9060627. http://www.mdpi.com/2072-4292/9/6/627 --- Qu, Y.; Han, Y.; Wu, Y.; Gao, P.; Wang, T. Study of PBLH and Its Correlation with Particulate Matter from One-Year Observation over Nanjing, Southeast China. Remote Sens. 2017, 9(7), 668; doi:10.3390/rs9070668. http://www.mdpi.com/2072-4292/9/7/668 --- Tosca, M.; Campbell, J.; Garay, M.; Lolli, S.; Seidel, F.; Marquis, J.; Kalashnikova, O. Attributing Accelerated Summertime Warming in the Southeast United States to Recent Reductions in Aerosol Burden: Indications from Vertically-Resolved Observations. Remote Sens. 2017, 9(7), 674; doi:10.3390/rs9070674. http://www.mdpi.com/2072-4292/9/7/674 --- Tao, M.; Wang, Z.; Tao, J.; Chen, L.; Wang, J.; Hou, C.; Wang, L.; Xu, X.; Zhu, H. How Do Aerosol Properties Affect the Temporal Variation of MODIS AOD Bias in Eastern China?. Remote Sens. 2017, 9(8), 800; doi:10.3390/rs9080800. http://www.mdpi.com/2072-4292/9/8/800 --- Wang, W.; Mao, F.; Du, L.; Pan, Z.; Gong, W.; Fang, S. Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China. Remote Sens. 2017, 9(8), 858; doi:10.3390/rs9080858. http://www.mdpi.com/2072-4292/9/8/858 --- Yuchechen, A.; Lakkis, S.; Canziani, P. Linear and Non-Linear Trends for Seasonal NO2 and SO2 Concentrations in the Southern Hemisphere (2004−2016). Remote Sens. 2017, 9(9), 891; doi:10.3390/rs9090891. http://www.mdpi.com/2072-4292/9/9/891 --- Qin, K.; Rao, L.; Xu, J.; Bai, Y.; Zou, J.; Hao, N.; Li, S.; Yu, C. Estimating Ground Level NO2 Concentrations over Central-Eastern China Using a Satellite-Based Geographically and Temporally Weighted Regression Model. Remote Sens. 2017, 9(9), 950; doi:10.3390/rs9090950. http://www.mdpi.com/2072-4292/9/9/950

Description / Table of Contents: Fu, R.; Wu, Y.; Wang, H.; Xie, J. A Distributed Control Strategy for Frequency Regulation in Smart Grids Based on the Consensus Protocol. Energies 2015, 8(8), 7930-7944; doi:10.3390/en8087930. http://www.mdpi.com/1996-1073/8/8/7930 --- Chae, W.; Lee, H.; Won, J.; Park, J.; Kim, J. Design and Field Tests of an Inverted Based Remote MicroGrid on a Korean Island. Energies 2015, 8(8), 8193-8210; doi:10.3390/en8088193. http://www.mdpi.com/1996-1073/8/8/8193 --- Nguyen, T.; Yoo, H.; Kim, H. Application of Model Predictive Control to BESS for Microgrid Control. Energies 2015, 8(8), 8798-8813; doi:10.3390/en8088798. http://www.mdpi.com/1996-1073/8/8/8798 --- Jung, S.; Jang, G. Development of an Optimal Power Control Scheme for Wave-Offshore Hybrid Generation Systems. Energies 2015, 8(9), 9009-9028; doi:10.3390/en8099009. http://www.mdpi.com/1996-1073/8/9/9009 --- Yang, Y.; Zhang, W.; Jiang, J.; Huang, M.; Niu, L. Optimal Scheduling of a Battery Energy Storage System with Electric Vehicles’ Auxiliary for a Distribution Network with Renewable Energy Integration. Energies 2015, 8(10), 10718-10735; doi:10.3390/en81010718. http://www.mdpi.com/1996-1073/8/10/10718 --- Xia, H.; Chen, H.; Yang, Z.; Lin, F.; Wang, B. Optimal Energy Management, Location and Size for Stationary Energy Storage System in a Metro Line Based on Genetic Algorithm. Energies 2015, 8(10), 11618-11640; doi:10.3390/en81011618. http://www.mdpi.com/1996-1073/8/10/11618 --- Telaretti, E.; Ippolito, M.; Dusonchet, L. A Simple Operating Strategy of Small-Scale Battery Energy Storages for Energy Arbitrage under Dynamic Pricing Tariffs. Energies 2016, 9(1), 12; doi:10.3390/en9010012. http://www.mdpi.com/1996-1073/9/1/12 --- Gelažanskas, L.; Gamage, K. Distributed Energy Storage Using Residential Hot Water Heaters. Energies 2016, 9(3), 127; doi:10.3390/en9030127. http://www.mdpi.com/1996-1073/9/3/127 --- Pietrosanti, S.; Holderbaum, W.; Becerra, V. Optimal Power Management Strategy for Energy Storage with Stochastic Loads. Energies 2016, 9(3), 175; doi:10.3390/en9030175. http://www.mdpi.com/1996-1073/9/3/175 --- Lin, F.; Li, X.; Zhao, Y.; Yang, Z. Control Strategies with Dynamic Threshold Adjustment for Supercapacitor Energy Storage System Considering the Train and Substation Characteristics in Urban Rail Transit. Energies 2016, 9(4), 257; doi:10.3390/en9040257. http://www.mdpi.com/1996-1073/9/4/257 --- Bruen, T.; Hooper, J.; Marco, J.; Gama, M.; Chouchelamane, G. Analysis of a Battery Management System (BMS) Control Strategy for Vibration Aged Nickel Manganese Cobalt Oxide (NMC) Lithium-Ion 18650 Battery Cells. Energies 2016, 9(4), 255; doi:10.3390/en9040255. http://www.mdpi.com/1996-1073/9/4/255 --- Chung, Y. A Novel Power-Saving Transmission Scheme for Multiple-Component-Carrier Cellular Systems. Energies 2016, 9(4), 265; doi:10.3390/en9040265. http://www.mdpi.com/1996-1073/9/4/265 --- Zangs, M.; Adams, P.; Yunusov, T.; Holderbaum, W.; Potter, B. Distributed Energy Storage Control for Dynamic Load Impact Mitigation. Energies 2016, 9(8), 647; doi:10.3390/en9080647. http://www.mdpi.com/1996-1073/9/8/647 --- Zhao, Z.; Sun, Y.; Hu, A.; Dai, X.; Tang, C. Energy Link Optimization in a Wireless Power Transfer Grid under Energy Autonomy Based on the Improved Genetic Algorithm. Energies 2016, 9(9), 682; doi:10.3390/en9090682. http://www.mdpi.com/1996-1073/9/9/682 --- Gatta, F.; Geri, A.; Lamedica, R.; Lauria, S.; Maccioni, M.; Palone, F.; Rebolini, M.; Ruvio, A. Application of a LiFePO4 Battery Energy Storage System to Primary Frequency Control: Simulations and Experimental Results. Energies 2016, 9(11), 887; doi:10.3390/en9110887. http://www.mdpi.com/1996-1073/9/11/887 --- Kies, A.; Schyska, B.; von Bremen, L. The Demand Side Management Potential to Balance a Highly Renewable European Power System. Energies 2016, 9(11), 955; doi:10.3390/en9110955. http://www.mdpi.com/1996-1073/9/11/955 --- Yang, J.; Choi, J.; An, G.; Choi, Y.; Kim, M.; Won, D. Optimal Scheduling and Real-Time State-of-Charge Management of Energy Storage System for Frequency Regulation. Energies 2016, 9(12), 1010; doi:10.3390/en9121010. http://www.mdpi.com/1996-1073/9/12/1010 --- Gao, Z.; Chin, C.; Woo, W.; Jia, J. Integrated Equivalent Circuit and Thermal Model for Simulation of Temperature-Dependent LiFePO4 Battery in Actual Embedded Application. Energies 2017, 10(1), 85; doi:10.3390/en10010085. http://www.mdpi.com/1996-1073/10/1/85 --- Yunusov, T.; Zangs, M.; Holderbaum, W. Control of Energy Storage. Energies 2017, 10(7), 1010; doi:10.3390/en10071010. http://www.mdpi.com/1996-1073/10/7/1010

Description / Table of Contents: There is ample evidence that the push for biomass as an alternative source of renewable energy to replace fossil fuels for heating and power generation is much greater than expected. There is a huge gap between the present contribution and the committed part of renewables for the majority of world countries. The uptake of renewables in general, and biomass in particular, is still considered somewhat risky due to the lack of best practice examples to demonstrate how efficient the technology is today.

Description / Table of Contents: Taravat, A.; Rajaei, M.; Emadodin, I.; Hasheminejad, H.; Mousavian, R.; Biniyaz, E. A Spaceborne Multisensory, Multitemporal Approach to Monitor Water Level and Storage Variations of Lakes. Water 2016, 8(11), 478; https://doi.org/10.3390/w8110478 --- Paillou, P. Mapping Palaeohydrography in Deserts: Contribution from Space-Borne Imaging Radar. Water 2017, 9(3), 194; https://doi.org/10.3390/w9030194 --- Jiang, L.; Schneider, R.; Andersen, O.; Bauer-Gottwein, P. CryoSat-2 Altimetry Applications over Rivers and Lakes. Water 2017, 9(3), 211; https://doi.org/10.3390/w9030211 --- Polishchuk, Y.; Bogdanov, A.; Polishchuk, V.; Manasypov, R.; Shirokova, L.; Kirpotin, S.; Pokrovsky, O. Size Distribution, Surface Coverage, Water, Carbon, and Metal Storage of Thermokarst Lakes in the Permafrost Zone of the Western Siberia Lowland. Water 2017, 9(3), 228; https://doi.org/10.3390/w9030228 --- Salameh, E.; Frappart, F.; Papa, F.; Güntner, A.; Venugopal, V.; Getirana, A.; Prigent, C.; Aires, F.; Labat, D.; Laignel, B. Fifteen Years (1993–2007) of Surface Freshwater Storage Variability in the Ganges-Brahmaputra River Basin Using Multi-Satellite Observations. Water 2017, 9(4), 245; https://doi.org/10.3390/w9040245 --- Springer, A.; Eicker, A.; Bettge, A.; Kusche, J.; Hense, A. Evaluation of the Water Cycle in the European COSMO-REA6 Reanalysis Using GRACE. Water 2017, 9(4), 289; https://doi.org/10.3390/w9040289 --- Parrens, M.; Al Bitar, A.; Frappart, F.; Papa, F.; Calmant, S.; Crétaux, J.; Wigneron, J.; Kerr, Y. Mapping Dynamic Water Fraction under the Tropical Rain Forests of the Amazonian Basin from SMOS Brightness Temperatures. Water 2017, 9(5), 350; https://doi.org/10.3390/w9050350 --- Pham-Duc, B.; Prigent, C.; Aires, F. Surface Water Monitoring within Cambodia and the Vietnamese Mekong Delta over a Year, with Sentinel-1 SAR Observations. Water 2017, 9(6), 366; https://doi.org/10.3390/w9060366 --- Nielsen, K.; Stenseng, L.; Andersen, O.; Knudsen, P. The Performance and Potentials of the CryoSat-2 SAR and SARIn Modes for Lake Level Estimation. Water 2017, 9(6), 374; https://doi.org/10.3390/w9060374 --- Nguyen, D.; Wagner, W. European Rice Cropland Mapping with Sentinel-1 Data: The Mediterranean Region Case Study. Water 2017, 9(6), 392; https://doi.org/10.3390/w9060392 --- Ferrara, C.; Lega, M.; Fusco, G.; Bishop, P.; Endreny, T. Characterization of Terrestrial Discharges into Coastal Waters with Thermal Imagery from a Hierarchical Monitoring Program. Water 2017, 9(7), 500; https://doi.org/10.3390/w9070500 --- Shen, H.; Leblanc, M.; Frappart, F.; Seoane, L.; O’Grady, D.; Olioso, A.; Tweed, S. A Comparative Study of GRACE with Continental Evapotranspiration Estimates in Australian Semi-Arid and Arid Basins: Sensitivity to Climate Variability and Extremes. Water 2017, 9(9), 614; https://doi.org/10.3390/w9090614 --- Erazo, B.; Bourrel, L.; Frappart, F.; Chimborazo, O.; Labat, D.; Dominguez-Granda, L.; Matamoros, D.; Mejia, R. Validation of Satellite Estimates (Tropical Rainfall Measuring Mission, TRMM) for Rainfall Variability over the Pacific Slope and Coast of Ecuador. Water 2018, 10(2), 213; https://doi.org/10.3390/w10020213

Description / Table of Contents: Kuwahara, Y.; Liu, W.; Makio, M.; Otsuka, K. In Situ AFM Study of Crystal Growth on a Barite (001) Surface in BaSO4 Solutions at 30 °C. Minerals 2016, 6(4), 117; https://doi.org/10.3390/min6040117 --- Evans, J. Polymorphs, Proteins, and Nucleation Theory: A Critical Analysis. Minerals 2017, 7(4), 62; https://doi.org/10.3390/min7040062 --- Ochiai, A.; Utsunomiya, S. Crystal Chemistry and Stability of Hydrated Rare-Earth Phosphates Formed at Room Temperature. Minerals 2017, 7(5), 84; https://doi.org/10.3390/min7050084 --- Jones, F. Crystallization of Jarosite with Variable Al3+ Content: The Transition to Alunite. Minerals 2017, 7(6), 90; https://doi.org/10.3390/min7060090 --- Bacsik, Z.; Zhang, P.; Hedin, N. Ammonium-Carbamate-Rich Organogels for the Preparation of Amorphous Calcium Carbonates. Minerals 2017, 7(7), 110; https://doi.org/10.3390/min7070110 --- Harris, J.; Wolf, S. Desiccator Volume: A Vital Yet Ignored Parameter in CaCO3 Crystallization by the Ammonium Carbonate Diffusion Method. Minerals 2017, 7(7), 122; https://doi.org/10.3390/min7070122 --- Burgos-Cara, A.; Putnis, C.; Rodriguez-Navarro, C.; Ruiz-Agudo, E. Hydration Effects on the Stability of Calcium Carbonate Pre-Nucleation Species. Minerals 2017, 7(7), 126; https://doi.org/10.3390/min7070126 --- Ross, J.; Gao, L.; Meouch, O.; Anthony, E.; Sutarwala, D.; Mamo, H.; Omelon, S. Carbonate Apatite Precipitation from Synthetic Municipal Wastewater. Minerals 2017, 7(8), 129; https://doi.org/10.3390/min7080129 --- Kezuka, Y.; Kawai, K.; Eguchi, K.; Tajika, M. Fabrication of Single-Crystalline Calcite Needle-Like Particles Using the Aragonite–Calcite Phase Transition. Minerals 2017, 7(8), 133; https://doi.org/10.3390/min7080133 --- Pastero, L.; Bruno, M.; Aquilano, D. About the Genetic Mechanisms of Apatites: A Survey on the Methodological Approaches. Minerals 2017, 7(8), 139; https://doi.org/10.3390/min7080139 --- Ossorio, M.; Stawski, T.; Rodríguez-Blanco, J.; Sleutel, M.; García-Ruiz, J.; Benning, L.; Van Driessche, A. Physicochemical and Additive Controls on the Multistep Precipitation Pathway of Gypsum. Minerals 2017, 7(8), 140; https://doi.org/10.3390/min7080140 --- Zeng, C.; Vitale-Sullivan, C.; Ma, X. In Situ Atomic Force Microscopy Studies on Nucleation and Self-Assembly of Biogenic and Bio-Inspired Materials. Minerals 2017, 7(9), 158; https://doi.org/10.3390/min7090158 --- Gruber, D.; Wolf, S.; Hoyt, A.; Konsek, J.; Cölfen, H. A Micro-Comb Test System for In Situ Investigation of Infiltration and Crystallization Processes. Minerals 2017, 7(10), 187; https://doi.org/10.3390/min7100187 --- Kröger, R.; Verch, A. Liquid Cell Transmission Electron Microscopy and the Impact of Confinement on the Precipitation from Supersaturated Solutions. Minerals 2018, 8(1), 21; https://doi.org/10.3390/min8010021 --- Ibsen, C.; Birkedal, H. Pyrophosphate-Inhibition of Apatite Formation Studied by In Situ X-Ray Diffraction. Minerals 2018, 8(2), 65; https://doi.org/10.3390/min8020065 --- Opel, J.; Kellermeier, M.; Sickinger, A.; Morales, J.; Cölfen, H.; García-Ruiz, J. Structural Transition of Inorganic Silica–Carbonate Composites Towards Curved Lifelike Morphologies. Minerals 2018, 8(2), 75; https://doi.org/10.3390/min8020075 --- Gebauer, D.; Jansson, K.; Oliveberg, M.; Hedin, N. Indications that Amorphous Calcium Carbonates Occur in Pathological Mineralisation—A Urinary Stone from a Guinea Pig. Minerals 2018, 8(3), 84; https://doi.org/10.3390/min8030084 --- Gebauer, D. Editorial for Special Issue “Nucleation of Minerals: Precursors, Intermediates and Their Use in Materials Chemistry”. Minerals 2018, 8(6), 239; https://doi.org/10.3390/min8060239

Description / Table of Contents: Forecasting is a vital tool for local health and air quality managers to make informed short-term decisions on remedial and mitigation measures to reduce exposure risks for their residents. Forecasting tools enable them to issue air quality advisories to curb pollution by limiting vehicular traffic by encouraging car-pooling and offering free public transportation. Air quality monitoring from the perspective of air managers serves a dual purpose of evaluating the skill of their forecasting tools and deriving long-term trends of major air pollutants that impact their constituents. Epidemiologists also use long term monitored data to understand air pollution related diseases and mortality rates to support public health policy decisions. This Special Issue reinforces the importance of these tools by leveraging their collective strengths. Public health is under a constant threat by air pollution across the world in various degrees and manifestations. In some countries with rapid economic growth the abrupt increased occurrences of poor air quality over cities and their downwind regions are attracting worldwide attention. The adverse health effects suffered by the public are reflected in billions of dollars in lost productivity, hospital admissions due to contraction and exacerbation of respiratory, asthmatic and cardiovascular diseases, and increases in mortality rates. This is especially true in rapidly developing countries. On the other hand, many cities in developed countries are seeing changes in their atmospheric chemical regimes from nitrogen oxide (NOx) saturated regimes towards NOx limiting regimes. Furthermore, ozone and ozone precursors transported from areas upwind become important source of “background ozone” as local generation of ozone plays a lesser role due to reduced NOx emissions in the developed countries. It is now clear that air pollution is a global problem and that air quality monitoring, forecasting and mitigation should be a local effort conducted in concert with global partners.