Applied drought modeling, prediction, and mitigation / by Zek{u3869} {u396E}.

Includes bibliographical references and index.

Front Cover; Applied Drought Modeling, Prediction, and Mitigation; Copyright; Table of Contents; Dedication; Preface; Chapter One: Introduction; 1.1. General; 1.2. Historical View; 1.3. Atmospheric Composition and Drought; 1.4. Drought Definitions; 1.5. Droughts, Aridity, and Desertification; 1.6. Drought Impacts; 1.7. Drought Regions; 1.8. Drought Types and Their Impacts; 1.8.1. Meteorological Drought; 1.8.2. Hydrological Drought; 1.8.3. Agricultural Drought; 1.8.4. Socioeconomic Drought; 1.8.5. Famine; 1.8.6. Water Shortages and Effects; 1.9. Significant Drought Mitigation Points

2.14.1. Pros and Cons of SPI2.15. Typical Problems with Indicators and Triggers; 2.16. Percentiles for Drought Indicators and Triggers; 2.17. Triple Drought Indicator; 2.18. Fuzzy Logic Approach; 2.19. Continuity Curve; References; Chapter Three: Temporal Drought Analysis and Modeling; General; Numerical Definition of Droughts; The Threshold Level Method; Drought Forecasting; Drought Models; Drought Features; Temporal Drought Modeling Methodologies; First Order Markov Process Drought Properties; Drought Duration Statistical Properties; Critical Drought Duration Statistical Properties

Maximum Deficit SummationDependent Process Maximum Total Deficit; Critical Drought Duration; Enumeration Model of Independent Bernoulli Trials; Dependent Bernoulli Trials; Second-Order Markov Process Drought Properties; Seasonal Bernoulli Trials; Analytical Derivation of Longest Run-Length; Crossing Probabilities; Identically and Independently Distributed Variables; Unidentically and Independently Distributed Variables; Annual Flow Totals; Independent Processes; Normally Distributed Processes; Logarithmic Normally Distributed Processes; Drought Features Software

Independent Bernoulli Trials SoftwareDependent Bernoulli Trials Software; Identically and Independently Distributed Variable Software; Un-Identically and Independently Distributed Variable Software; References; Chapter Four: Regional Drought Analysis and Modeling; 4.1. General; 4.2. Regional Numerical Definition of Droughts; 4.3. Techniques to Predict Regional Droughts; 4.3.1. Statistical Regression; 4.3.2. Time Series Analysis; 4.3.3. Pattern Recognition; 4.3.4. Linear Discriminant and Nearest Neighbor Analysis; 4.3.5. Stochastic or Probabilistic Analysis; 4.4. Regional Drought Features

Applied Drought Modelling, Prediction, and Mitigation provides a practical guide to new and recent methodologies for drought characterizations, change modeling, down-scaling, and future predictions. The modeling procedures covered by the book include recent advancements in regional drought extent, coverage, intensity, and water deficit predictions, which are increasingly significant given current climate change impacts on water resources. Each modeling procedure is explained theoretically prior to the mathematical derivation, and includes book examples, exercises, and case studies that.

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