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  • 2020-2024  (29)
  • 2020-2023  (4)
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  • 1
    Keywords: Environmental Law. ; Environmental management. ; Environmental policy. ; Environmental Law. ; Environmental Management. ; Environmental Policy.
    Description / Table of Contents: Chapter1. Environmental Policy: The current paradigm -- Chapter2. Decision Uncertainty in a New Public Policy Paradigm -- Chapter3. Introduction to MIRA, an Open Solution Approach -- Chapter4. The MIRA Approach: Initialization -- Chapter5. The MIRA Approach – Iterate to Stakeholder Agreement by Minimizing Decision Uncertainty -- Chapter6. Open Solution Approaches: Not Just for Decision Making -- Appendix.
    Abstract: This book exposes the barriers to inclusive and effective public policy making, which are the current decision making paradigm and commonly held ideas that reduce public policy problems to scientific and technical ones. Through both environmental policy and other decision making examples, readers are shown the commonalities of all decision making. Solution-oriented practitioners and stakeholders will find this book filling a conceptual and methodological gap in existing policy literature and practice. The authors deftly guide readers from post-normal science, wicked problems, and uncertainty concepts to a conceptually-grounded, practical implementation of a new approach, the open solution approach. The Multi-criteria Integrated Resource Assessment (MIRA) is described as the first generation methodology that fulfills the expectations for the inclusive, transparent, and learning-based open solutions approach. MIRA is a holistic package of concepts, methods and analytical tools that is designed to assess Decision Uncertainty, the combined uncertainties that include data, problem formulation, expert judgments, and stakeholder opinions. Introduction of the Requisite Steps, the common steps found in all decision making, provides the yardstick for evaluating a variety of decision making processes, decision tools, and commonly found indices such as the Dow Jones Industrial Average or the Newsweek Green Ranking of corporations. The use of anecdotes, policy stories, and case examples makes this a very readable and practical book for citizens and experts. With this book, readers are prepared to critically evaluate these common indices for their personal use as well as challenge policy processes as a stakeholder. For policy practitioners, this guidebook will become a rubric to ensure an effective public policy making process and to critically evaluate decision support tools.
    Type of Medium: Online Resource
    Pages: IX, 203 p. 27 illus., 3 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030321307
    Series Statement: Risk, Systems and Decisions,
    DDC: 344.046
    Language: English
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  • 2
    Publication Date: 2023-01-12
    Description: Hydrological extreme events are generated by different sequences of hydrometeorological drivers, the importance of which may vary within the sample of drought events. Here, we investigate how the importance of different hydrometeorological driver sequences varies by event magnitude using a large sample of catchments in Europe. To do so, we develop an automated classification scheme for streamflow drought events. The classification scheme standardizes a previous qualitative drought typology and assigns events to one of eight drought event types—each characterized by a set of single or compounding drivers—using information about seasonality, precipitation deficits, and snow availability. The objective event classification reveals how drought drivers vary not just in space and by season, but also with event magnitude. Specifically, we show that (a) rainfall deficit droughts and cold snow season droughts are the dominant drought event type in Western Europe and Eastern and Northern Europe, respectively; (b) rainfall deficit and cold snow season droughts are important from autumn to spring while snowmelt and wet‐to‐dry season droughts are important in summer; and (c) moderate droughts are mainly driven by rainfall deficits while severe events are mainly driven by snowmelt deficits in colder climates and by streamflow deficits transitioning from the wet to the dry season in warmer climates. These differences in sequences of drought generation mechanisms for severe and moderate events suggest that future changes in hydrometeorological drivers may affect moderate and severe events differently.
    Description: Key Points: We develop a standardized and objective classification scheme for streamflow droughts using hydroclimatic information. The most severe drought events are governed by other processes than moderate events. Moderate droughts are dominated by rainfall deficits and severe droughts by snowmelt deficits or prolonged rainfall deficit droughts.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: EC/H2020/PRIORITY 'Excellent science'/H2020 European Research Council http://dx.doi.org/10.13039/100010663
    Description: https://www.bafg.de/GRDC/EN/02_srvcs/21_tmsrs/riverdischarge_node.html
    Description: https://doi.pangaea.de/10.1594/PANGAEA.887470
    Description: https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land?tab=overview
    Description: http://www.hydroshare.org/resource/77114d4dfdfd4dd39e0e1d99165f27b3
    Keywords: ddc:551.6 ; drought types ; drought generation ; extremes ; typology ; classification ; streamflow
    Language: English
    Type: doc-type:article
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  • 3
    Publication Date: 2023-01-15
    Description: A limited number of gauging stations, especially for nested catchments, hampers a process understanding of the interaction between streamflow, groundwater and water usage during drought. Non‐commercial measurement devices can help overcome this lack of monitoring, but they need to be thoroughly tested. The Dreisam River in the South‐West of Germany was affected by several hydrological drought events from 2015 to 2020 during which parts of the main stream and tributaries fell dry. Therefore it provided a useful case study area for a flexible longitudinal water quality and quantity monitoring network. Among other measurements the setup employs an image‐based method with QR codes as fiducial marker. In order to assess under which conditions the QR‐code based water level loggers (WLL) deliver data according to scientific standards, we compared its performance to conventional capacitive based WLL. The results from 20 monitoring stations reveal that the riverbed was dry for 〉50% at several locations and even for 〉70% at most severely affected locations during July and August 2020, with the north western parts of the catchment being especially concerned. Highly variable longitudinal drying patterns of the stream reaches emerged from the monitoring. The image‐based method was found valuable for identification and validation of zero level occurrences. Nevertheless, a simple image processing approach (based on an automatic thresholding algorithm) did not compensate for errors due to natural conditions and technical setup. Our findings highlight that the complexity of measurement environments is a major challenge when working with image‐based methods.
    Description: We monitored zero water levels in a meso‐scale catchment with temperate climate by means of image‐based and conventional water level logging techniques. A detailed analysis of the longitudinal drying patterns enables a discussion about hydrological connectivity and the processes influencing the drying.
    Description: Badenova Fund For Innovation
    Description: https://doi.org/10.6094/UNIFR/228702
    Keywords: ddc:551.48 ; hydrological drought ; innovative sensors ; longitudinal connectivity ; stream reaches ; streamflow intermittency ; zero flow
    Language: English
    Type: doc-type:article
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  • 4
    Publication Date: 2023-11-15
    Description: Droughts can lead to extreme low flow situations in rivers, with resulting severe impacts. Upstream snow and ice melt in many of the world's mountain water towers can alleviate the hydrological consequences of drought, yet global warming threatens the cryosphere. To improve the understanding of melt water contributions during drought in the case of future glacier retreat, we developed stress‐test storyline scenarios to model streamflow and tested them in the European river Rhine basin. Meteorological conditions of past drought and low flow years in Europe, 1976, 2003, and 2018, were repeated at three future moments in time, representing nowadays, near future and far future conditions. The latter two conditions were obtained by climate projections under the RCP8.5 scenario. Results show that the low flow situations caused by the meteorological drought situations aggravate in future conditions, more so for the far future and for the year 2003 because of the relatively large glacier ice melt contribution in the past. Summer (July–September) streamflow may decline by 5%–25% far downstream and 30%–70% upstream and the duration of extreme low flow situations may double compared to the selected past drought events. These results are relevant for the Rhine as a major European river but stand exemplary for many other river basins and highlight the importance of cryospheric changes for downstream low flow situations in a changing climate. The stress‐test scenarios allow a glimpse into future extreme low flow events aiding adaptation planning, and might be adapted to include other important low flow drivers.
    Description: Plain Language Summary: Extended periods with strongly reduced rainfall, in combination with hot summers, lead to accumulating water shortages. As a result, water levels in rivers drop which causes problems, e.g., for shipping, cooling of power plants and drinking and irrigation water supply. During such drought periods, melt water from snow and ice is important for water supply. However, glaciers are projected to further decline in a warming climate, possibly worsen future low flow situations. To quantify this effect, we modeled the amount of water flowing through the Rhine basin (a) for past low flow events in 1976, 2003, and 2018 and (b) for hypothetical situations where we repeat the weather data of those past low flow years at three moments in the future. The results show that flows upstream and downstream in the river Rhine would get even lower in future conditions and cause low flow situations to lengthen considerably. Especially for the year 2003, which had high ice melt contributions in the past, changes are large. In summer, the flow during already critical low flow situations may decrease by up to 70% upstream, and by up to 30% downstream. The results show a glimpse into future low flow events and may help adaptation planning.
    Description: Key Points: A model framework for the Rhine basin was developed to simulate streamflow during extreme past drought years in future conditions. Extreme low flows as in 1976, 2003, and 2018 would aggravate in a future with declined glacier cover and snow pack. Repeating the drought and heatwave of 2003 in the future results in largest reductions in summer streamflow (70% upstream, 30% downstream).
    Description: CHR, International Commission for the Hydrology of the Rhine Basin
    Description: STAY! Scholarship New University Endowment Freiburg
    Description: https://doi.org/10.1002/joc.773
    Description: https://www.geo.uzh.ch/en/units/h2k/Services/HBV-Model/HBV-Download.html
    Description: https://doi.org/10.6094/UNIFR/233644
    Description: https://doi.org/10.6094/UNIFR/226494
    Description: https://doi.org/10.6094/UNIFR/226492
    Description: https://doi.org/10.6094/UNIFR/233639
    Description: https://doi.org/10.1657/1938-4246-46.4.933
    Description: https://doi.org/10.1080/00291957708545328
    Description: https://doi.org/10.3189/172756411799096295
    Keywords: ddc:551.48 ; drought and low flows ; glacier ; upstream‐downstream ; glacio‐hydrological modeling ; Rhine ; stress‐test storylines
    Language: English
    Type: doc-type:article
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  • 5
    Publication Date: 2022-09-02
    Description: Risk management has reduced vulnerability to floods and droughts globally, yet their impacts are still increasing. An improved understanding of the causes of changing impacts is therefore needed, but has been hampered by a lack of empirical data. On the basis of a global dataset of 45 pairs of events that occurred within the same area, we show that risk management generally reduces the impacts of floods and droughts but faces difficulties in reducing the impacts of unprecedented events of a magnitude not previously experienced. If the second event was much more hazardous than the first, its impact was almost always higher. This is because management was not designed to deal with such extreme events: for example, they exceeded the design levels of levees and reservoirs. In two success stories, the impact of the second, more hazardous, event was lower, as a result of improved risk management governance and high investment in integrated management. The observed difficulty of managing unprecedented events is alarming, given that more extreme hydrological events are projected owing to climate change.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , NonPeerReviewed
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  • 6
    Publication Date: 2022-07-26
    Description: Smallholder livelihoods throughout Central America are built on rain‐fed agriculture and depend on seasonal variations in temperature and precipitation. Recent climatic shifts in this highly diverse region are not well understood due to sparse observations, and as the skill of global climate products have not been thoroughly evaluated. We examine the performance for several reanalysis and satellite‐based global climate data products (CHIRPS/CHIRTS, ERA5, MERRA‐2, PERSIANN‐CDR) as compared to the observation‐based GPCC precipitation dataset. These datasets are then used to evaluate the magnitude and spatial extent of hydroclimatic shifts and changes in aridity and drought over the last four decades. We focus on water‐limited regions that are important for rain‐fed agriculture and particularly vulnerable to further drying, and newly delineate those regions for Central America and Mexico by adapting prior definitions of the Central American Dry Corridor. Our results indicate that the CHIRPS dataset exhibits the greatest skill for the study area. A general warming of 0.2–0.8°C·decade−1 was found across the region, particularly for spring and winter, while widespread drying was indicated by several measures for the summer growing season. Changes in annual precipitation have been inconsistent, but show declines of 20–25% in eastern Honduras/Nicaragua and in several parts of Mexico. Some regions most vulnerable to drying have been subject to statistically significant trends towards summer drying, increases in drought and aridity driven by precipitation declines, and/or a lengthening of the winter dry season, highlighting areas where climate adaptation measures may be most urgent.
    Description: Over the past four decades, precipitation trends are the main driver of drought trends, with temperature trends playing a small role. The most widespread drying and increases in aridity have occurred during the summer growing season. Based on delimitations of water‐limited and climate‐sensitive regions (brown shading) that are important for rain‐fed agriculture, some of these highly vulnerable regions overlap with areas of significant drying (red), highlighting potential prioritization areas for climate adaptation measures. image
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: Frias Institute of Advanced Studies (FRIAS) http://dx.doi.org/10.13039/501100003190
    Description: National Science Foundation http://dx.doi.org/10.13039/100000001
    Keywords: ddc:551.6
    Language: English
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  • 7
    Publication Date: 2024-04-22
    Description: As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is currently a lack of comprehensive, empirical data about the processes, interactions, and feedbacks in complex human-water systems leading to flood and drought impacts. Here we present a benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area. The 45 paired events occurred in 42 different study areas and cover a wide range of socio-economic and hydro-climatic conditions. The dataset is unique in covering both floods and droughts, in the number of cases assessed and in the quantity of socio-hydrological data. The benchmark dataset comprises (1) detailed review-style reports about the events and key processes between the two events of a pair; (2) the key data table containing variables that assess the indicators which characterize management shortcomings, hazard, exposure, vulnerability, and impacts of all events; and (3) a table of the indicators of change that indicate the differences between the first and second event of a pair. The advantages of the dataset are that it enables comparative analyses across all the paired events based on the indicators of change and allows for detailed context- and location-specific assessments based on the extensive data and reports of the individual study areas. The dataset can be used by the scientific community for exploratory data analyses, e.g. focused on causal links between risk management; changes in hazard, exposure and vulnerability; and flood or drought impacts. The data can also be used for the development, calibration, and validation of socio-hydrological models. The dataset is available to the public through the GFZ Data Services (Kreibich et al., 2023, 10.5880/GFZ.4.4.2023.001).
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 8
    Publication Date: 2023-01-18
    Description: As the negative impacts of hydrological extremes increase in large parts of the world, a better understanding of the drivers of change in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. To fill this gap, we present an IAHS Panta Rhei benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area (Kreibich et al. 2017, 2019). The contained 45 paired events occurred in 42 different study areas (in three study areas we have data on two paired events), which cover different socioeconomic and hydroclimatic contexts across all continents. The dataset is unique in covering floods and droughts, in the number of cases assessed and in the amount of qualitative and quantitative socio-hydrological data contained. References to the data sources are provided in 2022-002_Kreibich-et-al_Key_data_table.xlsx where possible. Based on templates, we collected detailed, review-style reports describing the event characteristics and processes in the case study areas, as well as various semi-quantitative data, categorised into management, hazard, exposure, vulnerability and impacts. Sources of the data were classified as follows: scientific study (peer-reviewed paper and PhD thesis), report (by governments, administrations, NGOs, research organisations, projects), own analysis by authors, based on a database (e.g. official statistics, monitoring data such as weather, discharge data, etc.), newspaper article, and expert judgement. The campaign to collect the information and data on paired events started at the EGU General Assembly in April 2019 in Vienna and was continued with talks promoting the paired event data collection at various conferences. Communication with the Panta Rhei community and other flood and drought experts identified through snowballing techniques was important. Thus, data on paired events were provided by professionals with excellent local knowledge of the events and risk management practices.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 9
    Publication Date: 2023-04-11
    Description: Risk management has reduced vulnerability to floods and droughts globally1,2, yet their impacts are still increasing3. An improved understanding of the causes of changing impacts is therefore needed, but has been hampered by a lack of empirical data4,5. On the basis of a global dataset of 45 pairs of events that occurred within the same area, we show that risk management generally reduces the impacts of floods and droughts but faces difficulties in reducing the impacts of unprecedented events of a magnitude not previously experienced. If the second event was much more hazardous than the first, its impact was almost always higher. This is because management was not designed to deal with such extreme events: for example, they exceeded the design levels of levees and reservoirs. In two success stories, the impact of the second, more hazardous, event was lower, as a result of improved risk management governance and high investment in integrated management. The observed difficulty of managing unprecedented events is alarming, given that more extreme hydrological events are projected owing to climate change
    Type: info:eu-repo/semantics/article
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  • 10
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-05-02
    Description: Drought estimates in terms of physically measurable variables such as precipitation deficit or streamflow deficit are key knowledge for an effective water management. How these deficits vary with the drought event severity indicated by commonly used standardized monitoring indices is often unclear. In order to study the variation of deficits with indexed severity, we compare precipitation and streamflow deficits for different index-derived drought characteristics in two case study catchments. More specifically, the analysis relies on a frequency analysis with the total probability theorem to the drought characteristics of a certain drought type. Intensity-duration-frequency (IDF) curves in terms of precipitation and water deficits for the most severe drought of each drought duration in each year are then subject to the comparison of statistical characteristics of droughts for different return periods. Precipitation and streamflow data from two catchments, the Seyhan River (Turkey) and the Kocher River (Germany) provide examples for two climatically and hydrologically different cases. They allow assessing the IDF curve based on differences in drought characteristics between the two variables and between the two catchments. We found that precipitation and streamflow deficits vary systematically reflecting seasonality and amount of precipitation and flow characteristics of the region and catchment. Deficits also change from one month to another at a given station. Higher precipitation deficits were observed in the winter months compared to the summer months in Seyhan. The seasonal variability of precipitation deficit was not that pronounced in Kocher. The maximum streamflow deficits were observed in spring in Seyhan whereas they were observed in winter in Kocher. The deficit-IDF curves converge to an asymptotic value as drought duration increases. The asymptotic value is practically the same for all return periods greater than 25-years, for the two variables and in the two catchments, limiting the meaningfulness of IDF curves for return periods longer than 25 years at long drought durations. The comparison reveals differences in the interpretability of indexed severities in different climatic and hydrological settings. Overall, the IDF curve approach might help end-users such as decision-makers to better understand the drought as an accumulated precipitation or streamflow deficit event.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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