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  • 1
    Online Resource
    Online Resource
    San Diego :Elsevier Science & Technology,
    Keywords: Droughts. ; Groundwater flow. ; Hydrogeology. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (740 pages)
    Edition: 2nd ed.
    ISBN: 9780323916790
    DDC: 551.49
    Language: English
    Note: Front Cover -- Hydrological Drought -- Hydrological Drought Processes and Estimation Methods for Streamflow and Groundwater -- Copyright -- Brief contents -- Contents -- Contents on GitHub1 -- 1. Data -- 2. Worked examples -- 3. Self-guided tours -- 4. Supporting documents -- 5. Supporting code -- List of contributors -- Preface -- Acknowledgements -- Glossary -- Introduction -- Drought-related terms and description -- REFERENCES -- Abbreviations, symbols and catchment descriptors -- Abbreviations -- Symbols -- Catchment descriptors as used in Chapter 8 -- I - Drought as a natural hazard -- 1 - Introduction -- 1.1 Scope -- 1.2 Hydrological drought -- 1.3 The drought hazard -- 1.4 International low flow and drought studies -- 1.5 Outline -- 1.6 Further reading -- References -- bksec2_1 -- 2 - Hydroclimatology∗ -- 2.1 Introduction -- 2.2 Drought in different climates -- 2.2.1 Global atmospheric circulation -- 2.2.2 Hydrology and drought in the world's climate zones -- 2.2.2.1 A-climates -- 2.2.2.2 B-climates -- 2.2.2.3 C-climates -- 2.2.2.4 D-climates -- 2.2.2.5 E-climates -- 2.2.3 Atmospheric circulation and drought -- 2.2.3.1 Regional atmospheric causes -- 2.2.3.2 Large-scale atmospheric causes -- 2.2.3.3 Coupled ocean-atmosphere causes -- 2.3 Drought initiation and termination -- 2.3.1 From meteorological anomaly to hydrological drought -- 2.3.2 Drought termination -- 2.4 Space-time variability -- 2.4.1 Spatial variability -- 2.4.2 Temporal variability -- 2.5 Climate change and drought -- 2.5.1 Observed climate change -- 2.5.2 Future climate change -- 2.6 Summary -- 2.7 Further reading -- References -- bksec2_10 -- 3 - Drought-generating processes∗ -- 3.1 Introduction -- 3.2 Catchment water balance -- 3.3 Soil system - unsaturated zone -- 3.3.1 Introduction -- 3.3.1.1 Actual evapotranspiration -- 3.3.1.2 Soil infiltration. , 3.3.1.3 Groundwater recharge -- 3.3.2 Effects on the water balance -- 3.3.2.1 Low precipitation -- 3.3.2.2 High potential evapotranspiration -- 3.3.3 Variability in evapotranspiration and groundwater recharge as simulated for two contrasting catchments -- 3.3.3.1 Evapotranspiration deficit in two different climates -- 3.3.3.2 Groundwater recharge in two different climates -- 3.3.4 Influence of soil characteristics, land use and water-table depth on actual evapotranspiration and groundwater recharge -- 3.3.4.1 Soil characteristics -- 3.3.4.2 Land use -- 3.3.4.3 Water-table depth -- 3.4 Groundwater system - saturated zone -- 3.4.1 Groundwater levels -- 3.4.1.1 Groundwater levels in different hydrogeological settings and climates -- 3.4.2 Groundwater flow systems and groundwater discharge -- 3.4.2.1 Flow systems -- 3.4.2.2 Groundwater discharge -- 3.4.3 Spring flow -- 3.5 Surface water system -- 3.5.1 River flow generation -- 3.5.1.1 Overland flow and total river flow -- 3.5.1.2 Throughflow -- 3.5.1.3 Surface water network -- 3.5.1.4 River flow -- 3.5.2 Lakes and wetlands -- 3.5.2.1 Influence of lakes on downstream flow in two contrasting climates -- 3.5.2.2 Wetlands -- 3.6 Hydrological drought in cold climates -- 3.7 Drought typology -- 3.8 Summary -- 3.9 Further reading -- References -- bksec2_10 -- II - Estimation methods -- 4 - Hydrological data∗ -- 4.1 Introduction -- 4.2 Definitions and concepts -- 4.2.1 What is meant by 'data'? -- 4.2.2 Time series data -- 4.2.3 Spatial data -- 4.2.4 Metadata -- 4.2.5 Importance of scale: spatial and temporal -- 4.2.6 Uncertainty -- 4.3 Data for hydrological drought -- 4.3.1 River level data -- 4.3.2 Rating curves and spot gaugings -- 4.3.2.1 Spot gaugings -- 4.3.2.2 Rating curves -- 4.3.2.3 Factors affecting the stage-discharge relation -- 4.3.3 Continuous river flow measurements. , 4.3.3.1 Velocity-area gauging stations -- 4.3.3.2 Weirs and flumes -- 4.3.3.3 Acoustic gauging stations -- 4.3.4 Other sensing technologies -- 4.3.5 Measurement challenges at low flow -- 4.3.6 Groundwater level data -- 4.3.6.1 Automatic recording of groundwater levels -- 4.3.6.2 Manual groundwater level monitoring -- 4.3.6.3 Estimating groundwater recharge -- 4.3.6.4 Monitoring groundwater discharge -- 4.3.6.5 Groundwater storage -- 4.3.7 Quality control -- 4.3.7.1 The nature of errors -- 4.3.7.2 Good practice -- 4.3.7.3 Data validation -- 4.3.7.4 Missing data -- 4.3.8 Supporting hydrometeorological time series data -- 4.3.8.1 Precipitation -- 4.3.8.2 Evaporation -- 4.3.8.3 Soil moisture -- 4.3.9 Human interventions -- 4.3.9.1 Flow naturalisation -- 4.4 Spatial and large-sample datasets -- 4.4.1 Local-scale data -- 4.4.2 Regional to global scale data -- 4.4.2.1 Large-scale physiographic data -- 4.4.2.2 Large-sample hydrological data -- 4.4.2.3 Large-scale hydrological data -- 4.4.2.4 Large-scale climatological data -- 4.4.2.5 Satellite data -- 4.4.3 Spatial data access -- 4.4.3.1 Data catalogues -- 4.4.3.2 Data access -- 4.4.3.3 Spatial data sharing, integration and dissemination -- 4.5 Example datasets -- 4.5.1 International Dataset -- 4.5.2 Regional Dataset of Eastern Austria -- 4.5.3 Local datasets -- 4.5.3.1 Upper-Guadiana catchment (Spain) -- 4.5.3.2 The Stonor Park well, Henley on Thames (UK) -- 4.6 Summary -- 4.7 Further reading -- References -- bksec2_22 -- 5 - Hydrological drought characteristics∗ -- 5.1 Introduction -- 5.2 Drought terminology -- 5.3 Low flow characteristics -- 5.3.1 Percentiles from the flow duration curve -- 5.3.2 Mean annual minimum flow -- 5.3.3 Base flow indices -- 5.3.3.1 The Base Flow Index -- 5.3.4 Recession indices -- 5.3.4.1 Analytical expression -- 5.3.4.2 Derivation of a characteristic recession. , 5.4 Drought deficit characteristics -- 5.4.1 Threshold level method -- 5.4.1.1 Threshold selection -- 5.4.1.2 Time resolution -- 5.4.2 Indices for intermittent and ephemeral rivers -- 5.4.2 Indices for intermittent and ephemeral rivers -- 5.4.3 The sequent peak algorithm -- 5.5 Standardised indices -- 5.5.1 Empirical quantiles -- 5.5.2 Standardised (to the normal distribution) indices -- 5.6 Multivariate indices -- 5.6.1 Modelled indices -- 5.6.2 Combined indices -- 5.7 Spatial drought characteristics -- 5.7.1 Examples of non-contiguous drought area approach -- 5.7.2 Examples of contiguous drought area approach -- 5.7.3 Drought tracking -- 5.8 Application at large scale -- 5.9 Relationship between indices -- 5.9.1 Ranks and correlation coefficients -- 5.10 Summary -- 5.11 Further reading -- References -- bksec2_16 -- 6 - Frequency analysis∗ -- 6.1 Introduction -- 6.2 Basic probability concepts -- 6.2.1 Populations -- 6.2.2 Samples -- 6.3 Data for extreme value analysis -- 6.3.1 Basic assumptions -- 6.3.2 Selection of extreme events -- 6.3.2.1 Annual maximum or minimum series -- 6.3.2.2 Partial duration series -- 6.3.2.3 r-Largest events -- 6.3.2.4 Outliers -- 6.3.3 Minimum values -- 6.3.4 Maximum values -- 6.4 Probability distributions -- 6.4.1 Extreme value distributions -- 6.4.2 The Generalised Extreme Value distribution -- 6.4.3 The Generalised Pareto distribution -- 6.4.4 Other distributions -- 6.4.4.1 The log-Normal distribution -- 6.4.4.2 The Pearson type 3, Gamma and log-Pearson type 3 -- 6.4.5 Mixed distributions -- 6.4.6 Selection of distribution function -- 6.5 Estimation methods -- 6.5.1 Method of moments -- 6.5.1.1 Product moments -- 6.5.1.2 L-moments -- 6.5.2 Maximum likelihood estimators -- 6.5.3 Estimation of design values, uncertainties and risk -- 6.5.4 Non-stationary frequency analysis -- 6.6 At-site frequency analysis. , 6.6.1 Low flow characteristics -- 6.6.2 Deficit characteristics -- 6.7 Regional frequency analysis -- 6.7.1 Regional estimation model -- 6.7.2 L-moment analysis -- 6.7.2.1 L-moment ratio diagrams -- 6.7.2.2 Test of regional homogeneity -- 6.7.2.3 Determination of a regional distribution -- 6.7.3 Generalised least squares regression -- 6.7.3.1 Estimation of index parameter by combining regional and site-specific data -- 6.7.4 Delineation of homogeneous regions -- 6.7.5 Self-guided tour: Regional frequency analysis -- 6.8 Severity-area-frequency curves -- 6.9 Summary -- 6.10 Further reading -- References -- bksec2_24 -- 7 - Statistical analysis of drought series∗ -- 7.1 Introduction -- 7.2 Time-series modelling -- 7.2.1 A simple Gaussian random model -- 7.2.2 Theory of runs -- 7.2.3 Autoregressive modelling and simulation -- 7.2.4 An observed time series of annual discharge -- 7.2.5 Applying and expanding autoregressive models -- 7.3 Regression -- 7.3.1 Linear regression -- 7.3.2 Correlation -- 7.3.3 Multiple linear regression -- 7.3.4 Goodness of fit, calibration and understanding residuals -- 7.3.5 Variable selection -- 7.3.6 Model validation -- 7.3.7 Generalised linear models -- 7.3.7.1 Logistic regression -- 7.3.7.2 Poisson regression -- 7.3.7.3 Gamma regression -- 7.3.8 A note about causality -- 7.4 Trend analysis -- 7.4.1 Linear trends -- 7.4.2 Non-parametric trend analysis -- 7.4.3 Structural change analysis -- 7.5 Spatio-temporal analysis -- 7.5.1 Grid-based correlation -- 7.5.2 Composite analysis -- 7.5.3 Principal component analysis -- 7.5.4 Cluster analysis -- 7.5.5 Canonical correlation analysis -- 7.6 Novel methods -- 7.7 Summary -- 7.8 Further reading -- References -- 8 - Regionalisation procedures - estimation at the ungauged site∗ -- 8.1 Introduction -- 8.2 Physiographic similarity -- 8.2.1 Similarity indices. , 8.2.1.1 River flow similarity.
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  • 2
    Online Resource
    Online Resource
    Newark :John Wiley & Sons, Incorporated,
    Keywords: Droughts. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (322 pages)
    Edition: 1st ed.
    ISBN: 9781119017172
    Series Statement: Hydrometeorological Extreme Events Series
    DDC: 363.34929
    Language: English
    Note: Intro -- Table of Contents -- Series Preface -- The Series Editor - Philippe Quevauviller -- List of Contributors -- Part One: Understanding Drought as a Natural Hazard -- Chapter 1.1: Diagnosis of Drought‐Generating Processes -- 1.1.1 Introduction -- 1.1.2 Background -- 1.1.3 Climate drivers of drought -- 1.1.4 Soil moisture drought processes -- 1.1.5 Hydrological drought processes (Groundwater and streamflow) -- 1.1.6 Drought propagation -- 1.1.7 Concluding remarks and outlook -- Acknowledgements -- References -- Chapter 1.2: Recent Trends in Historical Drought -- 1.2.1 Introduction -- 1.2.2 Trend analysis and data -- 1.2.3 Trends in river flow across Europe -- 1.2.4 Discussion -- 1.2.5 Conclusions - Future needs -- Acknowledgements -- References -- Chapter 1.3: Historic Drought from Archives: Beyond the Instrumental Record -- 1.3.1 Introduction -- 1.3.2 Methodology -- 1.3.3 United Kingdom -- 1.3.4 France: Ile‐de‐France -- 1.3.5 Valley of the Upper Rhine (Germany, Switzerland, France) -- 1.3.6 Conclusions -- Acknowledgements -- References -- Chapter 1.4: Future Drought -- 1.4.1 Introduction -- 1.4.2 Overview of studies -- 1.4.3 Assessment of future hydrological drought -- 1.4.4 Human influences on future drought -- 1.4.5 Uncertainties in future drought -- 1.4.6 Conclusions - Future needs -- 1.4.6.2 Future needs -- Acknowledgements -- References -- Part Two: Vulnerability, Risk, and Policy -- Chapter 2.5: On the Institutional Framework for Drought Planning and Early Action -- 2.5.1 Introduction -- 2.5.2 Drought planning and water resources planning -- 2.5.3 A code for best practices: early action and risk management plans -- 2.5.4 Institutions involved in drought planning -- 2.5.5 Conclusions -- Acknowledgements -- References -- Chapter 2.6: Indicators of Social Vulnerability to Drought -- 2.6.1 Introduction -- 2.6.2 Theoretical framework. , 2.6.3 Selection of policy‐relevant variables -- 2.6.3.2 Composite indicator of drought vulnerability (weighting and aggregation) -- 2.6.4 Application: Drought risk assessment in Latin America -- References -- Chapter 2.7: Drought Vulnerability Under Climate Change: A Case Study in La Plata Basin -- 2.7.1 Introduction -- 2.7.2 Methods -- 2.7.3 Results and discussion -- 2.7.4 Conclusions -- Acknowledgements -- References -- Chapter 2.8: Drought Insurance -- 2.8.1 Introduction -- 2.8.2 Main difficulties and challenges in developing drought insurance -- 2.8.3 Types of drought insurance -- 2.8.4 Drought indemnity-based insurance -- 2.8.5 Drought index-based insurance -- 2.8.6 Conclusions -- Acknowledgements -- References -- Part Three: Drought Management Experiences and Links to Stakeholders -- Chapter 3.9: Drought and Water Management in The Netherlands -- 3.9.1 General context -- 3.9.2 Drought risk and mitigation -- 3.9.3 Conclusions - Future needs -- References -- Chapter 3.10: Improving Drought Preparedness in Portugal -- 3.10.1 Local context -- 3.10.2 Current approach to drought monitoring and management -- 3.10.3 Improving drought preparedness and drought management -- 3.10.4 Conclusions -- Acknowledgements -- References -- Chapter 3.11: Drought Management in the Po River Basin, Italy -- 3.11.1 General context -- 3.11.2 Drought risk and mitigation -- 3.11.3 Conclusions -- References -- Chapter 3.12: Experiences in Proactive and Participatory Drought Planning and Management in the Jucar River Basin, Spain -- 3.12.1 Introduction -- 3.12.2 Droughts characterisation -- 3.12.3 Methods for drought vulnerability and risk assessment -- 3.12.4 Proactive and participatory drought management -- 3.12.5 Conclusions -- Acknowledgements -- References -- Chapter 3.13: Drought Risk and Management in Syros, Greece -- 3.13.1 Introduction -- 3.13.2 Droughts in Syros. , 3.13.3 Drought risk and mitigation -- 3.13.4 Lessons learnt - the need for participatory drought management -- Acknowledgements -- References -- Index -- End User License Agreement.
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  • 3
    Publication Date: 2017-06-27
    Description: In 2015 large parts of Europe were affected by drought. In this paper, we analyze the hydrological footprint (dynamic development over space and time) of the drought of 2015 in terms of both severity (magnitude) and spatial extent and compare it to the extreme drought of 2003. Analyses are based on a range of low flow and hydrological drought indices derived for about 800 streamflow records across Europe, collected in a community effort based on a common protocol. We compare the hydrological footprints of both events with the meteorological footprints, in order to learn from similarities and differences of both perspectives and to draw conclusions for drought management. The region affected by hydrological drought in 2015 differed somewhat from the drought of 2003, with its center located more towards eastern Europe. In terms of low flow magnitude, a region surrounding the Czech Republic was the most affected, with summer low flows that exhibited return intervals of 100 years and more. In terms of deficit volumes, the geographical center of the event was in southern Germany, where the drought lasted a particularly long time. A detailed spatial and temporal assessment of the 2015 event showed that the particular behavior in these regions was partly a result of diverging wetness preconditions in the studied catchments. Extreme droughts emerged where preconditions were particularly dry. In regions with wet preconditions, low flow events developed later and tended to be less severe. For both the 2003 and 2015 events, the onset of the hydrological drought was well correlated with the lowest flow recorded during the event (low flow magnitude), pointing towards a potential for early warning of the severity of streamflow drought. Time series of monthly drought indices (both streamflow- and climate-based indices) showed that meteorological and hydrological events developed differently in space and time, both in terms of extent and severity (magnitude). These results emphasize that drought is a hazard which leaves different footprints on the various components of the water cycle at different spatial and temporal scales. The difference in the dynamic development of meteorological and hydrological drought also implies that impacts on various water-use sectors and river ecology cannot be informed by climate indices alone. Thus, an assessment of drought impacts on water resources requires hydrological data in addition to drought indices based solely on climate data. The transboundary scale of the event also suggests that additional efforts need to be undertaken to make timely pan-European hydrological assessments more operational in the future.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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