Water Resources Planning and Management: An Overview.- Water Resource Systems Modeling: Its Role in Planning and Management.- Models for Identifying and Evaluating Alternatives.- An Introduction to Optimization Models and Methods.- Data-Fitting, Evolutionary and Qualitative Modeling.- An Introduction to Probability, Statistics and Uncertainty.- Modeling Uncertainty.- System Sensitivity and Uncertainty Analysis.- Performance Criteria.- Water Quality Modeling and Prediction.- River Basin Modeling.- Urban Water Systems.- Planning and Analysis Projects: Putting it All Together.
Daniel P. Loucks is Professor of Civil and Environmental Engineering at Cornell University and an internationally renowned expert about the development and application of economics, ecology and systems analysis methods to the solution of environmental and regional water resources problems. A visiting scholar at Harvard, MIT, UT Austin, and the technical University of Delft, he is most recently working with the Technical University of Vienna. Eelco van Beek is a Water resources specialist at the Department of Sustainable Use of Water and Soil at Deltares, the Netherlands. Dr. van Beek is an expert in modelling in water resources management and river basin development; his recent academic appoints include the University of Twente, Netherlands, and the Technical University of Delft.
This book is open access under a CC BY-NC 4.0 license.
This revised, updated textbook presents a systems approach to the planning, management, and operation of water resources infrastructure in the environment. Previously published in 2005 by UNESCO and Deltares (Delft Hydraulics at the time), this new edition, written again with contributions from Jery R. Stedinger, Jozef P. M. Dijkman, and Monique T. Villars, is aimed equally at students and professionals. It introduces readers to the concept of viewing issues involving water resources as a system of multiple interacting components and scales. It offers guidelines for initiating and carrying out water resource system planning and management projects. It introduces alternative optimization, simulation, and statistical methods useful for project identification, design, siting, operation and evaluation and for studying post-planning issues. The authors cover both basin-wide and urban water issues and present ways of identifying and evaluating alternatives for addressing multiple-purpose and multi-objective water quantity and quality management challenges. Reinforced with cases studies, exercises, and media supplements throughout, the text is ideal for upper-level undergraduate and graduate courses in water resource planning and management as well as for practicing planners and engineers in the field.