Spatial Variability of Groundwater Chemical Quality for Drinking and Irrigation Purposes in Parts of Nagaon and Morigaon Districts, Assam, Using Geoinformatics

Abstract

The spatial variability in the chemical quality of groundwater resources in parts of Nagaon and Morigaon Districts, Assam was studied by considering pre-monsoon and post-monsoon groundwater samples. Quality analysis was made through the estimation of calcium, magnesium, sodium, potassium, carbonate, bicarbonate, iron, sulphate, chloride, TDS, electrical conductance, total hardness and pH for both pre-monsoon and post-monsoon seasons. Based on these data, certain chemical parameters such as sodium adsorption ratio (SAR), sodium percentage (%Na) and residual sodium carbonate (RSC) were derived for the evaluation of irrigation water quality. Thematic maps of selected parameters were prepared for both pre- and post-monsoon seasons in the GIS environment. The Land use / Land cover map of the study area was prepared from the satellite imageries supported with limited field check. The suitability of groundwater for drinking and irrigation purposes was verified on the basis of the spatial distribution of the chemical parameters. Different groundwater quality zones were identified based on the suitability of groundwater in the settlement area for drinking purpose and agricultural land for irrigation purpose. This was done by integrating the groundwater suitability maps with the land use / land cover map using GIS. The resultant maps revealed that groundwater from only one location requires treatment before use for drinking purposes. Similarly, irrigation water quality in ninety seven percent of the agricultural land comes within the excellent to permissible zone.

Authors and Affiliations

Satyajit Kataki, Santanu Sarma, Uttam Goswami

Keywords

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  • EP ID EP19744
  • DOI -
  • Views 233
  • Downloads 4

How To Cite

Satyajit Kataki, Santanu Sarma, Uttam Goswami (2015). Spatial Variability of Groundwater Chemical Quality for Drinking and Irrigation Purposes in Parts of Nagaon and Morigaon Districts, Assam, Using Geoinformatics. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(3), -. https://europub.co.uk/articles/-A-19744