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- W3110367610 abstract "Clean Water and Sanitation being a sustainable development goal is the prime focus of Government, but the question remains whether the process being adopted is really leading to success. This question is the motivation of this study. This paper is an effort to lead in the systematic direction of creating GIS-based WaterMap integrated with geographical boundaries built on Ground Water Quality Assessment parameters. The objective of this study is to analyze water quality in each district and then classifying these districts. Several data mining techniques are being used for water analysis, including clustering and classification, ANN, SVM, and Regression. In this study, total nine water quality parameters—Total Dissolved Solids (TDS), Chloride (Cl), Sulphate (S), Fluoride (F), Nitrate (N), Total Hardness (TH), Calcium (Ca), Magnesium (Mg) and Iron (Fe) are considered. Three years’ data from 2014–15 to 2016–17 has been referred from Ground Water Year Book (GWYB) of Central Ground Water Board, Government of India. The data represents the percentage of samples falling beyond the permissible limit in each district of Rajasthan. K-means clustering algorithm is performed for the clustering of the district based on similar chemical and water quality parameters. ANOVA has been performed before applying the clustering method to check the equality of average percentage of samples beyond the permissible limit. It would be helpful in formation of area focused water safety plans, which WHO and UNICEF are supporting for better health indicators under SDG Goal 6." @default.
- W3110367610 created "2020-12-07" @default.
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- W3110367610 date "2020-11-28" @default.
- W3110367610 modified "2023-10-16" @default.
- W3110367610 title "Water Quality Based Zonal Classification of Rajasthan Using Clustering" @default.
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- W3110367610 doi "https://doi.org/10.1007/978-981-15-7394-1_41" @default.
- W3110367610 hasPublicationYear "2020" @default.
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