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Data on the assessment of Groundwater Quality in Gomti-Ganga alluvial plain of Northern India

This data article deals with the assessment of groundwater quality based on water quality index (WQI) and irrigation indices. A total of 8 sites have been selected for the qualification of groundwater fitness. The assessment of groundwater quality has been done by selecting 13 physico-chemical param...

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Detalles Bibliográficos
Autores principales: Verma, Apoorv, Yadav, Brijesh Kumar, Singh, N.B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225388/
https://www.ncbi.nlm.nih.gov/pubmed/32426433
http://dx.doi.org/10.1016/j.dib.2020.105660
Descripción
Sumario:This data article deals with the assessment of groundwater quality based on water quality index (WQI) and irrigation indices. A total of 8 sites have been selected for the qualification of groundwater fitness. The assessment of groundwater quality has been done by selecting 13 physico-chemical parameters such as pH, EC, TDS, Ca(2+), Mg(2+), Na(+), K(+), Cl(-), SO(4-), HCO(3-), NO(3-), F(-), and TH. Inverse distance-weighted (IDW) application was used to prepare the spatial distribution maps of WQI for the pre and post-monsoon period. All the samples were found in the rock dominance zone in Gibbs plot and according to the Piper plot, Ca-HCO(3) is the dominant hydrochemical facies in the study area. On the other hand, irrigation water quality was examined by computing irrigation indices such as SAR, RSC, SSP, MHR, KR, %Na, PI, and PS. The outcomes of the irrigation indices suggests that the water quality is of a good and excellent category except for MHR and RSC.