WATER RESOURCE SYSTEMS PLANNING AND ANALYSIS

PART I - Overview. Chapter 1. Planning and Analysis of Water Resource Systems. 1.1. Introduction to Water Resources Planning, 1.2. Water Resource Systems Analysts, Engineers, and Policymakers, 1.3. Characteristics of Systems Analysis Applications, Part II . Methods of Analysis. Chapter 2. Identification and Evaluation of Water Management Plans. 2.1. Introduction, 2.2. Evaluation of Time Streams of Benefits and Costs, 2.3. Plan Formulation, 2.4. Planning Models and Solution Procedures, 2.5. Objective Functions and Constraint Equations, 2.6. Lagrange Multipliers, 2.7. Dynamic Programming, 2.8. Linear Programming, 2.9. Simulation and Search Methods, 2.10. Conclusion, 2A Computer Programs for Linear Programming, 69. Chapter 3 Water Resources Planning Under Uncertainty. 3.1. Introduction, 3.2. Probability Concepts and Methods, 3.3. Distributions of Random Events, 3.4. Stochastic Processes and Time Series, 3.5. Planning with Uncertainty, 3.6. Analyzing Systems with Dynamic Uncertainty, 3.7. Concluding Remarks, 3A. Confidence Intervals for Quantiles and Moments, 3B. Useful Statistical Tests, 3C. Properties of Time-Series Statistics, Chapter 4 Water Resources Planning. Objectives. 4.1. Introduction, 4.2. Economic Benefit-Cost Objectives, 4.3. Multiobjective Models, 4.4. Concluding Remarks, Part III. Managing Surface-Water Quantity. Chapter 5 Deterministic River Basin Modeling. 5.1. Introduction, 5.2. Streamfiow Estimation, 5.3. Estimating Reservoir Storage Requirements for Water Supply, .4. Flood Control Alternatives, 5.5. Hydroelectric Power Production, 5.6. Withdrawals and Diversions, 5.7. Model Synthesis, 5.8. Planning the Expansion of Water Resources Systems, 5.9. Concluding Remarks, Chapter 6 Synthetic Streamflow Generation. 6.1. Introduction, 6.2. Statistical Streamfiow Generation Models, 6.3. A Simple Autoregressive Model, 6.4. Reproducing the Marginal Distribution, 6.5. Autoregressive~Moving Average (ARMA) Models, 6.6. Hurst and Fractional Brownian Noise, 6.7. Multisite Models, 6.8. Multiseason Multisite Models, 6.9. Model Selection and Parameter Estimation, 6.10. Streamflow Generation from Precipitation Data, 6.1. Conclusion, Chapter 7 Stochastic River Basin Planning Models. 7.1. Introduction, 7.2. Reservoir Operation, 7.3. Single Reservoir Design and Operation, 7.4. Multiple-Site River Basin Planning Models, 7.5. Concluding Remarks, 7A Stochastic Linear Programming Operating Model, 7B. In put and Output of Example Mixed-Integer Reservoir Design Problem, Chapter 8. Irrigation Planning and Operation. 8.1. Introduction, 8.2. An Irrigation Planning Model, 8.3. An Irrigation Operation Model, 8.4. Conclusion, Part IV Water Quality Management. Chapter 9 Water Quality Prediction and Simulation. 9.1. Introduction, 9.2. Types of Water Quality Models, 9.3. Computational Methods, 9.4. Model Development, Calibration, and Verification, 9.5. Steady-State Models of River and Estuarine Systems, 9.6. Water Quality Modeling of Lakes and Reservoirs, 9.7. Reliability of Receiving Water Quality Simulation Models, 9.8. Nonpoint-Source Pollution Models, 9.9. Concluding Remarks, 9A. Derivation of Governing Equations, 9B. Solution of Steady-State Governing Equations, Chapter 10. Water Quality Management Modeling. 10.1. Introduction, 10.2. Management Alternatives for Water Quality Control, 10.3 Management Objectives and Quality Standards, 10.4 Water Quality Control Alternatives, 10.5, Lake Quality Management, 10.6. Concluding Remarks.

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