Water Resources Engineering Risk Assessment

Jacques Ganoulis

ISBN 10: 364276973X / ISBN 13: 9783642769733

Published by Springer Berlin Heidelberg, 2011

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Although many theoretical developments have been achieved inrecent years, the progress both in understanding andapplication of risk and reliability analysis in waterresources and environmental engineering remains slow. One ofthe reasons seems to be the lack of training of engineerswith phenomena of statistical nature, including optimum costand benefit decisions under uncertainty. This book presents,in a unified and comprehensive framework, the variousaspects of risk and reliability in bothwater quantity andquality problems. The topics covered include uncertaintyanalysis of water quantity and quality data, stochasticsimulation of hydrosystems, decision theory underuncertaintyand case studies. Methods for risk analysis ofextremes in hydrology, groundwater clean-up, river andcoastal pollution as well as total risk management arepresented.

Seller Inventory # 9783642769733

Bibliographic Details

• Title: Water Resources Engineering Risk Assessment
• Publisher: Springer Berlin Heidelberg
• Publication Date: 2011
• Language: English
• ISBN 10: 364276973X
• ISBN 13: 9783642769733
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 242W x 170H x 30D millimeters 242 millimeters width by 170 millimeters height by 30 millimeters depth
• Weight: 946 grams

About this title

Synopsis

Although many theoretical developments have been achieved in recent years, the progress both in understanding and application of risk and reliability analysis in water resources and environmental engineering remains slow. One of the reasons seems to be the lack of training of engineers with phenomena of statistical nature, including optimum cost and benefit decisions under uncertainty. This book presents, in a unified and comprehensive framework, the various aspects of risk and reliability in bothwater quantity and quality problems. The topics covered include uncertainty analysis of water quantity and quality data, stochastic simulation of hydrosystems, decision theory under uncertaintyand case studies. Methods for risk analysis of extremes in hydrology, groundwater clean-up, river and coastal pollution as well as total risk management are presented.