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DC Field | Value | Language |
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dc.contributor.author | Chandra, Nathi Ajay | - |
dc.contributor.author | Sahoo, Sanat Nalini | - |
dc.date.accessioned | 2020-03-04T09:53:26Z | - |
dc.date.available | 2020-03-04T09:53:26Z | - |
dc.date.issued | 2020-02 | - |
dc.identifier.citation | III Indian National Groundwater Conference on Groundwater Resources Management for Sustainable Development: Special Emphasis on Coastal and Urban Environment, CWRDM, Kozhikode, 18-20 February 2020 | en_US |
dc.identifier.uri | http://hdl.handle.net/2080/3512 | - |
dc.description | Copyright belongs to proceedings publisher | en_US |
dc.description.abstract | Groundwater is a tremendous hotspot for all purposes behind water prerequisites in India. The improvement and scattering of groundwater in the state differ normally relying upon the geomorphology, geography and precipitation. The present examination zone is East Godavari region of Andhra Pradesh state, India. The prime focal point of this assessment was (1) To examine groundwater quality parameters (viz; Chloride (Cl), Magnesium (Mg), Fluoride (F), potential Hydrogen (pH), and Total Dissolved Solids (TDS) equal to or greater than the pollution threshold values i: e; Probability Maps. Total 116 groundwater samples were collected. The chemical analysis results were distinguished with BIS: 10500 (2012) to examine the nature of water for drinking purpose. It was seen that the semivariogram parameters fitted well in the Gaussian model for Chloride, Magnesium, and TDS parameters, Exponential model for pH, and Fluoride parameters. The spatial interpolation technique indicator kriging was used to dissect groundwater quality parameters equivalent to or more prominent than the contamination edge esteems. This assessment displays that geostatistics and GIS techniques give an incredible asset in understanding the improvement, resources and nature of groundwater. | en_US |
dc.subject | Geostatistics | en_US |
dc.subject | Indicator Kriging | en_US |
dc.subject | Probability maps | en_US |
dc.subject | Drinking water quality standards | en_US |
dc.subject | Semivariogram | en_US |
dc.title | Indicator Kriging Approach Using a GIS to Classify Groundwater Quality Parameters of East Godavari District, Andhra Pradesh, India | en_US |
dc.type | Article | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2020_INGWC_NAChandra_Indicator.pdf | 1.12 MB | Adobe PDF | View/Open |
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