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020 _a9789819715183
_9978-981-97-1518-3
024 7 _a10.1007/978-981-97-1518-3
_2doi
050 4 _aQ325.5-.7
072 7 _aUYQM
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aUYQM
_2thema
245 1 0 _aWater Informatics
_h[electronic resource] :
_bChallenges and Solutions Using State of Art Technologies /
_cedited by Supreeti Kamilya, Arindam Biswas, Sheng-Lung Peng.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXI, 235 p. 91 illus., 72 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aWater Informatics for Water Resource Management,
_x2731-9113
505 0 _aAn 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.
520 _aThis 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. .
650 0 _aMachine learning.
_955059
650 0 _aApplication software.
650 0 _aEnvironmental protection.
650 0 _aCivil engineering.
650 1 4 _aMachine Learning.
_955059
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aSoil and Water Protection.
_966001
700 1 _aKamilya, Supreeti.
_eeditor.
_0(orcid)0000-0003-4642-3108
_1https://orcid.org/0000-0003-4642-3108
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_979179
700 1 _aBiswas, Arindam.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_979180
700 1 _aPeng, Sheng-Lung.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_973931
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819715176
776 0 8 _iPrinted edition:
_z9789819715190
776 0 8 _iPrinted edition:
_z9789819715206
830 0 _aWater Informatics for Water Resource Management,
_x2731-9113
_979181
856 4 0 _uhttps://doi.org/10.1007/978-981-97-1518-3
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
999 _c60951
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