Browsing by Author "Sandeep Kumar Gautam"

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Application of water quality index (WQI) and statistical techniques to assess water quality for drinking, irrigation, and industrial purposes of the Ghaghara River, India
(Elsevier B.V., 2023) Nirdesh Kumar Ravi; Pawan Kumar Jha; Kriti Varma; Piyush Tripathi; Sandeep Kumar Gautam; Kirpa Ram; Manish Kumar; Vijay Tripathi
Ghaghara river samples were analysed to determine their quality and fitness for household, agriculture, and industrial use. In Ghaghara River, the cations were present in order of Ca2+ > Mg2+ > Na+ > K +, and anions were in order of HCO3– > SO42− > Cl− > NO3– > F−. Gibbs's diagram indicated that carbonate and silicate weathering significantly influence the Ghaghara River ion chemistry. Piper trilinear diagrams indicated that Ca2++ Mg2+ exceeded the Na++ K +, and anions of weak acids dominated over the anions of strong acids, indicating Ca-HCO3 type of water. Based on the WQI values, the water quality class varied from 'unsuitable for drinking' to 'excellent' quality, and the parameter of concern was pH and fluoride ion concentration as they exceeded their permissible limits in the post-monsoon season, thereby negatively affecting the WQI values to unsuitable category. The computed value of the agriculture indices, including the Sodium absorption ratio (SAR), Sodium percentage (Na %), Kelly ratio (KR), Permeability Index (PI) value, Magnesium absorption ratio (MAR), and Potential salinity (PS), indicated that water quality was suitable for agriculture use. The Langelier Saturation Index (LSI) values indicated that 39% of the collected samples were unsuitable due to scale formation problems. Ryznar Stability Index (RSI) values indicated that the water of the Ghaghara River is corrosive and unsuitable for industrial use. © 2023 The Author(s)
Appraisal of surface and groundwater of the subarnarekha river basin, Jharkhand, India: Using remote sensing, irrigation indices and statistical technique
(CRC Press, 2016) Sandeep Kumar Gautam; Abhay K. Singh; Jayant K. Tripathi; Sudhir Kumar Singh; Prashant K. Srivastava; Boini Narsimlu; Prafull Singh
Remote sensing and Geographic Information System (GIS) are very useful tools which could be used for synoptic representation of water quality of any area (Gupta and Srivastava 2010). Land use/land cover (LULC) changes quantification through satellite remote sensing is one of the major applications; it is important for assessing global environmental change processes, supports in making policies and optimizes the use of natural resources (Srivastava et al. 2012a). The LULC types, such as agricultural land and urban area associated with human activities, often affect both the surface andgroundwater quality. Hence monitoring spatial-temporal changes is essential to understand the driving factors that influence the water quality of an area (Merchant 1994; Wu and Segerson 1995; Srivastava et al. 2013). On the other hand, GIS is an important tool for spatial analysis and integration of spatial and non-spatial data to derive useful outputs (Singh et al. 2013a) and helps in decision making. It can be used for formulating a simple and robust water quality pollutionassessment tool for rapid information generation and broadcasting to water resources managers and the public (Vasanthavigar et al. 2010; Singh et al. 2012). © 2017 by Taylor & Francis Group.