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＜電子ブック＞
Water Informatics : Challenges and Solutions Using State of Art Technologies / edited by Supreeti Kamilya, Arindam Biswas, Sheng-Lung Peng
(Water Informatics for Water Resource Management. ISSN:27319113)

版	1st ed. 2024.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2024
本文言語	英語
大きさ	XI, 235 p. 91 illus., 72 illus. in color : online resource
著者標目	Kamilya, Supreeti editor Biswas, Arindam editor Peng, Sheng-Lung editor SpringerLink (Online service)
件　名	LCSH:Machine learning LCSH:Application software LCSH:Environmental protection LCSH:Civil engineering FREE:Machine Learning FREE:Computer and Information Systems Applications FREE:Soil and Water Protection
一般注記	An Analysis and Monitoring of Ground Water Quality and Disaster Management -- Presence of Non-biodegradable Polymer in the Hydro-logical Layers -- Applications of Elementary Cellular Automata for Water Informatics -- Identification of Water Potability using Machine Learning Techniques -- Soft Computing Techniques for Flood Prediction This book provides a clear view of various applications for water resource management using different state-of-the-art technologies such as artificial intelligence, IoT, and cellular automata. The book also shows the analytical part of surface water as well as groundwater bodies to control pollution and save ecology. It gives an idea about the collection of data for disaster management such as flood prediction and flood inoculation. The book provides the fundamental aspects of various computational or simulation methods for surface and underground water body detection, prediction of non-biodegradable elements in water bodies, water potability, and predictions of natural disasters like floods. The book summarizes different aspects of water body challenges and the possible solutions proposed using new technologies. The book opens up a future research direction of dealing with various challenges and solutions based on emerging technologies. This book comes up with a direction for the researchers interested in dealing with various aspects of water challenges and finding solutions using emerging technologies in the new era of modern computations. HTTP:URL=https://doi.org/10.1007/978-981-97-1518-3

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