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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 managemen...
Written by teachers and successful entrepreneurs, this textbook includes guidance, instruction and practical lessons for the prospective entrepreneur.
This unique, engaging, and highly authoritative volume enlightens readers on changes needed in the way society accesses, provides, and uses water. It further shines a light on changes needed in the way we use food, energy, and other goods and services in relation to water, and offers projections and recommendations, up to 2050, that apply to water access challenges facing the poor and the common misuse of water in industry, agriculture, and municipalities. Written by an unparalleled slate of experts convened by the Calouste Gulbenkian Foundation, the book takes on one of the most critical issues on the planet today. In a frank yet optimistic assessment of major developmental challenges, but ...
This book is divided into four parts. The first part, Preliminaries, begins by introducing the basic theme of the book. It provides an overview of the current status of water resources utilization, the likely scenario of future demands, and advantages and disadvantages of systems techniques. An understanding of how the hydrological data are measured and processed is important before undertaking any analysis. The discussion is extended to emerging techniques, such as Remote Sensing, GIS, Artificial Neural Networks, and Expert Systems. The statistical tools for data analysis including commonly used probability distributions, parameter estimation, regression and correlation, frequency analysis,...