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Water Resource Systems Planning and Management: An Introduction to Methods, Models, and Applications "introduces students of civil engineering and allied disciplines to ways of identifying and evaluating multiple-purpose, multi-objective water quantity and quality planning and management issues.



Water Resource Systems Planning and Management

An Introduction to Methods, Models, and Applications

Daniel P. Loucks and Eelco van Beek




2017 | 624 pages ISBN: 978-3-319-44234-1


Reviewed by

Jeff Thurston


This text "Introduces students of civil engineering and allied disciplines to ways of identifying and evaluating multiple-purpose, multi-objective water quantity and quality planning and management issues." This updated edition of the popular book provides students and professionals with a greater understanding of water related management issues including various components and across scales. Filled with examples from around the world, the text includes information about the Nile and Yellow Rivers, the Mekong Delta among others.

Readers will learn about the under-pinning planning issues connected with water management as the text describes why and how management matters. Since water management takes on both scale and temporal issues, these areas are also covered significantly.

A large amount of infrastructure development and planning includes modeling water systems. This kind of information is outlined and detailed, and concepts, technology and algorithms for modeling are introduced. Since many students are interested in simulation of water systems, the various components for effective simulation of water systems are outlined and examined. In this way students and readers can learn the under-lying design principles of these systems. Those working directly in water delivery areas will appreciate the details about optimizing models and the methods that can be deployed for these purposes. 

As water systems not only include the active infrastructure components, but also reservoirs and storage bodies, this book dives into these issues as well and explains them. Artificial neural networks are included and evolutionary algorithms are described along with genetic programming techniques and qualitative functions modeling. Statistics, probability and uncertainty in relation to water management are also expanded upon. There is great detail about modeling river simulation models and streamflows. As might be expected, there is a large amount of uncertainty in these systems, therefore, discussion about modeling uncertainty and sensitivity to uncertainty are included too. 

Performance criteria for evaluating water management policy and procedures are also described and the decision-making processes used to deliver higher performance outcomes are spoken about in detail. We find information about quantifying performance criteria, multicriteria analysis and details about reporting upon criteria performance for those who need to communicate results. Water quality issues and modeling are outlined and issues such as temperature, dissolved oxygen, model data, nutrients, eutrophication, sediments and toxic chemical related issues are all presented.

Readers familiar with urban water issues will find topics involving rainfall, runoff, surface pollutants, sewer networks and associated issues quite interesting. Such a book would not be complete without an overview of the water management practice and "putting it all together" and this book does not disappoint with final chapters putting it all together - connecting the dots. 

In summary, this is an extensive and comprehensive book on the topic of water management. It is filled with examples from real-world situations, and it includes many interesting and attractive graphics, maps, tables and pictures. This is undoubtedly an excellent reference text suitable for education purposes. If you are considering a good introductory text for a classroom or are interested in water management issues, then this book should receive your attention as it is one of the best available.