03876nam a22005775i 4500 978-981-97-1518-3 DE-He213 20251030112327.0 cr nn 008mamaa 240622s2024 si | s |||| 0|eng d 9789819715183 978-981-97-1518-3 10.1007/978-981-97-1518-3 doi Q325.5-.7 UYQM bicssc MAT029000 bisacsh UYQM thema Water Informatics [electronic resource] : Challenges and Solutions Using State of Art Technologies / edited by Supreeti Kamilya, Arindam Biswas, Sheng-Lung Peng. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XI, 235 p. 91 illus., 72 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Water Informatics for Water Resource Management, 2731-9113 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. . Machine learning. 55059 Application software. Environmental protection. Civil engineering. Machine Learning. 55059 Computer and Information Systems Applications. Soil and Water Protection. 66001 Kamilya, Supreeti. editor. (orcid)0000-0003-4642-3108 https://orcid.org/0000-0003-4642-3108 edt http://id.loc.gov/vocabulary/relators/edt 79179 Biswas, Arindam. editor. edt http://id.loc.gov/vocabulary/relators/edt 79180 Peng, Sheng-Lung. editor. edt http://id.loc.gov/vocabulary/relators/edt 73931 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819715176 Printed edition: 9789819715190 Printed edition: 9789819715206 Water Informatics for Water Resource Management, 2731-9113 79181 https://doi.org/10.1007/978-981-97-1518-3 ZDB-2-SMA ZDB-2-SXMS 60951 60951