TY - BOOK ID - 119355772 TI - Emerging Technologies for Water Supply, Conservation and Management AU - Balaji, Etikala. AU - Veeraswamy, Golla. AU - Mannala, Prasad. AU - Madhav, Sughosh. PY - 2023 SN - 3031352793 3031352785 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Geophysics. KW - Water. KW - Hydrology. KW - Environmental management. KW - Artificial intelligence. KW - Environmental Management. KW - Artificial Intelligence. KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Environmental stewardship KW - Stewardship, Environmental KW - Environmental sciences KW - Management KW - Aquatic sciences KW - Earth sciences KW - Hydrography KW - Water KW - Hydrology KW - Geological physics KW - Terrestrial physics KW - Physics UR - https://www.unicat.be/uniCat?func=search&query=sysid:119355772 AB - This book deals with the role of emerging technologies such as remote sensing and GIS and artificial intelligence/machine learning in water supply, conservation and management for sustainable development. These are low-cost new technologies that address current challenges dealing with large data sets, such as identifying spatial and temporal variations in water quality parameters and contaminants, groundwater potential zones and water supply and management issues. This book is helpful to show the paths of reducing the burden of time and cost and is the alternative options for the conventional practices in water supply, conservation and management. Further, the outcomings of this book are helpful for policy makers, researchers and readers. ER -