1Department of Farm Engineering, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P., India
2Department of Soil Science and Agricultural Chemistry, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P., India
*Corresponding author: amitavabhu@gmail.com
Online published on 22 June, 2017.
Groundwater is one of the major sources of water in arid and semi-arid regions. Groundwater quality data and its spatial distribution are important for the purpose of planning and management. Geostatistical methods are one of the most advanced techniques for interpolation of groundwater quality. In this study, kriging methods were used for predicting spatial distribution of pH and electrical conductivity (EC). Data were collected from 40 wells in Dwarika Sector, Delhi (India). After normalization of data, semi-variograme was drawn. EC values were in the range of 1282 to 2567 μS/cm and pH values were in the range of 7.2 to 8.5. The study elucidates more than 50% of the water samples are not suitable for drinking purposes without any treatment.
Geostatistical analysis, spatial variability, interpolation chemical quality
