Keywords:
Droughts.
;
Drought management.
;
Drought forecasting.
;
Climatic changes.
;
Electronic books.
Description / Table of Contents:
The first volume of this comprehensive global prospective on Integrated Drought Management is focused on understanding drought, causes, and the assessment of drought impacts. It explains different types of drought: agricultural, meteorological, hydrological, and socio-economic droughts, their indices and the impact of climate change on drought.
Type of Medium:
Online Resource
Pages:
1 online resource (615 pages)
Edition:
1st ed.
ISBN:
9781000905625
Series Statement:
Drought and Water Crises Series
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=7273918
Language:
English
Note:
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Editors -- Contributors -- Chapter 1 Understanding Drought: Definitions, Causes, Assessments, Forecasts, and Management -- 1.1 Introduction -- 1.2 Drought Definitions -- 1.2.1 Drought Types -- 1.2.1.1 Meteorological Drought -- 1.2.1.2 Agricultural Drought -- 1.2.1.3 Hydrological Drought -- 1.2.1.4 Groundwater Drought -- 1.2.1.5 Socioeconomic Drought -- 1.3 Drought Assessment -- 1.3.1 Drought Characteristics -- 1.3.2 Drought Indices -- 1.3.2.1 Univariate Drought Indices -- 1.3.2.2 Multivariate Drought Indices -- 1.3.3 Applications of Satellite Remote Sensing -- 1.3.3.1 Remote Sensing of Hydroclimate Variables and Its Application to Drought Assessments -- 1.3.3.2 Remote Sensing of Environmental Variables and Its Application to Drought Assessments -- 1.4 Drought Analysis -- 1.4.1 Frequency Analysis -- 1.4.1.1 Multivariate Drought Analysis -- 1.4.1.2 Copula Joint Probability Models -- 1.4.1.3 Entropy-Based Probability Models -- 1.4.2 Reliability, Resilience, and Vulnerability Analysis -- 1.4.2.1 Reliability -- 1.4.2.2 Resilience -- 1.4.2.3 Vulnerability -- 1.5 Causes of Drought -- 1.5.1 Ocean-Atmosphere Teleconnection -- 1.5.2 Land-Atmosphere Interaction -- 1.5.3 Internal Atmospheric Variability -- 1.6 Drought and Climate Change -- 1.6.1 Global Warming Impacts on Ocean-Atmosphere Teleconnection -- 1.6.2 Global Warming Impacts on Land-Atmosphere Teleconnection -- 1.6.3 Global Warming Impacts on Internal Atmospheric Teleconnection -- 1.7 Drought Forecasting -- 1.7.1 Statistical Forecasting Methods -- 1.7.1.1 Discrete Statistical Forecasting Methods -- 1.7.1.2 Continuous Statistical Forecasting Methods -- 1.7.2 Dynamical Forecasting Methods -- 1.7.3 Hybrid Statistical-Dynamical Methods -- 1.8 Drought Impacts: Major Historical Droughts and Losses Caused by Them.
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1.8.1 The US -- 1.8.1.1 The 1930s Dust Bowl Drought -- 1.8.1.2 The 1950s Southwest Drought -- 1.8.1.3 The 1988-1989 North American Drought -- 1.8.1.4 The 2011-2017 California Drought -- 1.8.2 South America: The 2014-2017 Brazilian Drought -- 1.8.3 Europe: The 1992-1995 Spanish Drought -- 1.8.4 Africa: The Sahel Droughts, 1970s-1980s -- 1.8.5 Asia: The 2015-2016 Drought in the Mekong Delta -- 1.8.6 Oceania: The Millennium Drought in Southeast Australia during 2001-2009 -- 1.9 Drought Management -- 1.9.1 Water Conservation/Management -- 1.9.2 Soil Management -- 1.9.3 Diversification of Crops and Industries -- 1.9.4 Public Education and Risk-Sharing Systems -- 1.10 Conclusions -- References -- Chapter 2 Drought Concepts, Characterization, and Indicators -- 2.1 Introduction -- 2.2 Types of Droughts -- 2.2.1 Meteorological Drought -- 2.2.2 Agricultural Drought -- 2.2.3 Hydrological Drought -- 2.2.4 Socioeconomic Drought -- 2.3 Main Types of Drought Recognized in India -- 2.3.1 Meteorological Drought -- 2.3.2 Hydrological Drought -- 2.3.2.1 Surface Water Drought -- 2.3.2.2 Groundwater Drought -- 2.3.3 Agricultural Drought -- 2.3.4 Soil Moisture Drought -- 2.3.5 Socioeconomic Drought -- 2.3.6 Famine -- 2.3.7 Ecological Drought -- 2.4 Impacts of Drought -- 2.4.1 Economic Impacts -- 2.4.2 Environmental Impacts -- 2.4.3 Social Impacts -- 2.5 Worst Droughts in History -- 2.6 Characterization of Droughts -- 2.7 Drought Indicators -- 2.7.1 Drought Characterization Using Drought Indices -- 2.7.2 Considerations for Drought Indicators -- 2.7.2.1 Suitability for Drought Types of Concern -- 2.7.2.2 Data Availability and Consistency -- 2.7.2.3 Clarity and Validity -- 2.7.2.4 Temporal and Spatial Sensitivity -- 2.7.2.5 Temporally and Spatially Specific -- 2.7.2.6 Drought Progression and Recession -- 2.7.2.7 Linked with Drought Management and Impact Reduction Goals.
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2.7.2.8 Explicit Combination Methods -- 2.7.2.9 Quantitative and Quantitative Indicators -- 2.8 Drought Indices -- 2.8.1 Percent of Normal -- 2.8.2 Deciles -- 2.8.3 Standardized Precipitation Index (SPI) -- 2.8.4 Palmer Drought Severity Index (PDSI) -- 2.8.5 US Drought Monitor (USDM) -- 2.8.6 Normalized Difference Vegetation Index (NDVI) -- 2.8.7 Rainfall Departure -- 2.8.8 Statistical Z-Score (Z-Score) -- 2.8.9 Effective Drought Index (EDI) -- 2.8.10 China Z-Index (CZI) -- 2.8.11 Other Notable Drought Indices -- 2.9 Aggregation of Drought Indices -- 2.10 Conclusions -- References -- Chapter 3 Spatial Assessment of Meteorological and Agricultural Drought in Northern India -- 3.1 Introduction -- 3.2 Materials and Methodology -- 3.2.1 Study Area -- 3.2.2 Methodology -- 3.2.2.1 SPEI Calculation -- 3.2.2.2 NDVI Calculation -- 3.2.2.3 NDVI Deviation Estimation -- 3.2.2.4 VCI Estimation -- 3.2.2.5 Spatial Mapping of Agriculture Drought-Affected Regions -- 3.3 Results and Discussion -- 3.3.1 Standardized Precipitation Evapotranspiration Index (SPEI)-Based Meteorological Drought Detection -- 3.3.2 Remote Sensing-Based Vegetation Indicators of Agricultural Drought Detection -- 3.4 Conclusions -- References -- Chapter 4 Assessment of Meteorological Drought Characteristics in Brazil -- 4.1 Introduction -- 4.2 Standard Precipitation Index and Drought Assessment -- 4.2.1 Details of Rainfall Data -- 4.3 Drought Assessment -- 4.3.1 Polygons 1 and 2 -- 4.3.2 Polygons 3 and 4 -- 4.3.3 Polygons 5 and 6 -- 4.3.4 Polygon 7 -- 4.3.5 Polygon 8 -- 4.4 Concluding Remarks -- Acknowledgments -- References -- Chapter 5 Drought in Rio de Janeiro State, Southeast Brazil -- 5.1 Introduction -- 5.2 Methodology -- 5.2.1 Study Area -- 5.2.1.1 Rainfall Data -- 5.2.2 Standardized Precipitation Index (SPI) -- 5.2.3 Oceanic Niño Index (ONI) and the El Niño-Southern Oscillation (ENSO).
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5.2.4 Statistical Tests -- 5.3 Results and Discussion -- 5.3.1 Rainfall Data -- 5.3.2 SPI-Based Drought Analysis -- 5.3.2.1 Temporal Drought Analysis -- 5.3.2.2 Spatial Drought Analysis -- 5.3.3 Two Case Studies of Drought Assessment over the State of Rio de Janeiro -- 5.3.3.1 North and Northwest Regions -- 5.3.3.2 Middle Paraíba Region -- 5.4 Conclusions -- References -- Chapter 6 The Mexican Drought (2011): Insight into the 29-Month Drought in Aguascalientes -- 6.1 Introduction -- 6.2 Methodology -- 6.2.1 Study Area and Data -- 6.2.2 Standardized Precipitation Index (SPI) -- 6.2.3 Climate Indices -- 6.3 Results and Discussion -- 6.4 Conclusions -- References -- Chapter 7 Investigating the Relationship between the Temporal Distribution of Precipitation and Flow Shortness Volume over Lake Urmia Basin, Iran -- 7.1 Introduction -- 7.2 Methodology -- 7.2.1 Case Study -- 7.2.2 Precipitation Concentration Index (PCI) -- 7.2.3 Dryness Volume Shortage Index (DVSI) -- 7.2.3.1 Extracting the Flow Shortness Volume from Daily River Flow Rate -- 7.2.4 Trend Analysis -- 7.2.5 Sen's Slope Estimator -- 7.3 Results and Discussion -- 7.3.1 Results of Evaluation of the PCI Data in LUB -- 7.3.2 Results of Investigating DVSI in LUB -- 7.3.3 Trend Analysis of Flow Shortness Volume and PCI Values Using Hydrological Sub-Basin -- 7.4 Conclusions -- References -- Chapter 8 Long-Term Drought Study in Algeria Based on Meteorological Data -- 8.1 Introduction -- 8.2 Study Area Description -- 8.3 Materials and Methodology -- 8.4 Results and Discussion -- 8.5 Variation of Meteorological Parameters -- 8.5.1 Site-Dependent Annual Summaries of Meteorological Parameters -- 8.5.2 Site-Dependent Monthly Summaries of Meteorological Parameters -- 8.5.3 Annual Trends of Mean, Maximum, and Minimum Ambient Temperature -- 8.5.4 Annual Variability of Relative Humidity.
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8.5.5 Annual Total Precipitation Trends -- 8.5.6 Aridity Index -- 8.5.7 Annual Mean Wind Speed Trend Analysis -- 8.5.8 Atmospheric Pressure Variability -- 8.6 Conclusions -- References -- Chapter 9 Severe Droughts in India -- 9.1 Introduction -- 9.2 Data and Methodology -- 9.3 Droughts in the Indian Summer Monsoon -- 9.3.1 Hydrometeorological Variability -- 9.3.2 Variability of Large-Scale Circulation -- 9.4 Discussion and Conclusion -- References -- Chapter 10 Comparison of Bhalme-Mooley Drought Index with Standardized Precipitation Evapotranspiration Index: The Case of Okavango Delta, Botswana -- 10.1 Introduction -- 10.2 Materials and Methods -- 10.2.1 Data Description -- 10.2.2 Methods -- 10.2.2.1 Method for Computation of Standardized Precipitation Evapotranspiration Index (SPEI) -- 10.2.2.2 Method for Bhalme-Mooley Drought Index (BMDI) -- 10.3 Results of Analyses -- 10.3.1 Standardized Precipitation Evapotranspiration Index (SPEI) -- 10.3.2 Bhalme-Mooley Drought Index (BMDI) Analysis -- 10.3.3 Drought Map -- 10.3.4 Association between SPEI and BMDI -- 10.4 Discussion of Results -- 10.5 Conclusions -- Acknowledgments -- References -- Chapter 11 Analysis of Drought Using a Modified Version of the Standardized Precipitation Evapotranspiration Index -- 11.1 Introduction -- 11.2 Materials and Methods -- 11.2.1 Study Area -- 11.2.2 Trend Analysis -- 11.2.3 Standardized Precipitation Evapotranspiration Index (SPEI) -- 11.3 Results and Discussion -- 11.3.1 Results of Extraction of Di Values and Fitness with Statistical Distributions -- 11.4 Conclusions -- References -- Chapter 12 Evaluation of an Evapotranspiration Deficit-Based Drought Index and Its Impacts on Carbon Productivity in the Levant and Iraq -- 12.1 Introduction -- 12.1.1 Drought Definition and Characteristics -- 12.1.2 Drought Indices.
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12.1.3 Drought Impacts on Ecosystem Vegetation and Productivity.
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