Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2567
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dc.contributor.authorBhoomika, A P-
dc.date.accessioned2023-12-19T05:08:54Z-
dc.date.available2023-12-19T05:08:54Z-
dc.date.issued2021-
dc.identifier.citationVol. 1177; pp. 265-275en_US
dc.identifier.isbn9789811556784-
dc.identifier.isbn9789811556791-
dc.identifier.issn2194-5357-
dc.identifier.issn2194-5365-
dc.identifier.urihttps://doi.org/10.1007/978-981-15-5679-1_25-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2567-
dc.description.abstractChennai is a city located down south in India. It serves as the capital of Tamil Nadu, and the city and the surrounding area serves as a major economic center in India. In the recent past, Chennai is facing an acute water shortage. This is due to two years of inadequate monsoon seasons, and increasing urbanization that caused some encroachment on water bodies in and around the region. There are four reservoirs which are major sources of water supply to Chennai, viz., Poondi, Cholavaram, Redhills, and Chembarambakkam. This paper discusses the major causes of the water crisis while analyzing water levels of four main reservoirs and rainfall levels in reservoir regions. An attempt is made to predict water availability per person in Chennai by using machine learning, and possible measures to rescue the city from the thirst of water are discussed. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021.en_US
dc.language.isoenen_US
dc.publisherIntelligent Data Engineering and Analytics: Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2en_US
dc.subjectChennaien_US
dc.subjectMachine learningen_US
dc.subjectWater availability predictionen_US
dc.subjectWater scarcityen_US
dc.titleWater Availability Prediction In Chennai City Using Machine Learningen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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