Water Resource Modeling and Computational Technologies, Volume 7 (Paperback)


Water Resource Modeling and Computational Technologies, Seventh Edition provides the reader with a comprehensive overview of the applications that computational techniques have in various sectors of water resource engineering. The book explores applications of recent modeling and computational techniques in various sectors of water resource engineering, including hydroinformatics, irrigation engineering, climate change, hydrologic forecasting, floods, droughts, image processing, GIS, water quality, aquifer mapping, basin scale modeling, computational fluid dynamics, numerical modeling of surges and groundwater flow, river engineering, optimal reservoir operation, multipurpose projects, and water resource management. As such, this is a must read for hydrologists, civil engineers and water resource managers.

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Product Description

Water Resource Modeling and Computational Technologies, Seventh Edition provides the reader with a comprehensive overview of the applications that computational techniques have in various sectors of water resource engineering. The book explores applications of recent modeling and computational techniques in various sectors of water resource engineering, including hydroinformatics, irrigation engineering, climate change, hydrologic forecasting, floods, droughts, image processing, GIS, water quality, aquifer mapping, basin scale modeling, computational fluid dynamics, numerical modeling of surges and groundwater flow, river engineering, optimal reservoir operation, multipurpose projects, and water resource management. As such, this is a must read for hydrologists, civil engineers and water resource managers.

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Product Details

General

Imprint

Elsevier - Health Sciences Division

Country of origin

United States

Series

Current Directions in Water Scarcity Research

Release date

October 2022

Availability

Expected to ship within 9 - 15 working days

First published

2022

Editors

, , ,

Dimensions

235 x 191 x 42mm (L x W x T)

Format

Paperback

Pages

720

ISBN-13

978-0-323-91910-4

Barcode

9780323919104

Categories

LSN

0-323-91910-3



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