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Springer Water

Springer Water: Volume 2

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Springer Water: Volume 2

Sunitha, Vangala; Muralidhara Reddy, Bandi; Sudharshan Reddy, Yenugu; Prasad, Mannala; Pradeep Kumar, Badapalli; Balaji, Etikala

This book covers a review, case studies, and research articles from various countries and institutes on all three promising technologies Remote Sensing, GIS, and modelling. In detail, it covers all advanced technologies like Remote Sensing, GIS, machine learning and hydrological modelling, and Monte-Carlo Simulation for water resource management to attain sustainable development goals. It covers chapters on the MCDM approach, machine learning, fuzzy modelling, MIF&AHP techniques, and LULC's impact on water resources for sustainable water resource development. It will be useful for researchers, policymakers, urban planners, etc. as it covers all promising technologies in one place.

Details

Published by: Springer

Publication Date: 2025-11-01

Format: Hardcover

ISBN-13: 9783031994968

DOI: 10.1007/978-3-031-99497-5

Dimensions: 235cm x155cm

Pages: 788

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