Gis In Water Resources Engineering
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Geographic Information Systems in Water Resources Engineering
State-of-the-art GIS spatial data management and analysis tools are revolutionizing the field of water resource engineering. Familiarity with these technologies is now a prerequisite for success in engineers' and planners' efforts to create a reliable infrastructure.GIS in Water Resource Engineering presents a review of the concepts and application
GIS in Water Resources Engineering
This book presents a thorough concepts and applications of GIS in the various sub-fields of water resources engineering. The book develops a general understanding of the nature of GIS and how it is used to create and analyse geographic data. The book addresses concepts and application in: surface water hydrology, groundwater hydrology, water supply and irrigation systems, flood pain management, water quality, water resource monitoring and forecasting, river basin planning and management. The book introduces primary field data collection methods and describes procedures for interpretation and analysis. Also it focuses on the linkage of GIS data with water resource analysis and management models. Applications are presented with descriptions of GIS in water resources engineering arms engineers and planners with an arsenal of tools to assist in the creation of reliable, environmentally sensitive, infrastructure. The book examines various ways that innovative water resource managers are using spatial analysis and electronic mapping to provide increased functionality and reliability to the complex systems they oversee. The book also discusses GIS important tool for unity, as countries who are seeking acceptance to the economic union must use the technology to bring their water infrastructures into conformance with EU standards.
GIS and Geocomputation for Water Resource Science and Engineering
GIS and Geocomputation for Water Resource Science and Engineering not only provides a comprehensive introduction to the fundamentals of geographic information systems but also demonstrates how GIS and mathematical models can be integrated to develop spatial decision support systems to support water resources planning, management and engineering. The book uses a hands-on active learning approach to introduce fundamental concepts and numerous case-studies are provided to reinforce learning and demonstrate practical aspects. The benefits and challenges of using GIS in environmental and water resources fields are clearly tackled in this book, demonstrating how these technologies can be used to harness increasingly available digital data to develop spatially-oriented sustainable solutions. In addition to providing a strong grounding on fundamentals, the book also demonstrates how GIS can be combined with traditional physics-based and statistical models as well as information-theoretic tools like neural networks and fuzzy set theory.