Open AccessCharacterization of Irrigation Water Quality Parameters Using Geo-Statistical Approach
Author(s) -
G. S. Tagore,
H. K.
Publication year - 2019
Publication title -
agropedology
Language(s) - English
Resource type - Journals
ISSN - 0971-1570
DOI - 10.47114/j.agroped.2019.dec5
Subject(s) - kriging , irrigation , sampling (signal processing) , water quality , univariate , interpolation (computer graphics) , environmental science , multivariate interpolation , statistics , quality (philosophy) , water resources , irrigation district , agriculture , agricultural engineering , water resource management , hydrology (agriculture) , mathematics , multivariate statistics , computer science , geography , engineering , agronomy , philosophy , computer graphics (images) , bilinear interpolation , ecology , biology , epistemology , computer vision , animation , geotechnical engineering , archaeology , filter (signal processing)
Recent past has witnessed ever increasing importance of water in agricultural development that necessitates precise assessment of spatial variability in irrigation water quality of ground water resources and its optimal utilization. Present study was aimed to characterize the variability in quality of irrigation water across the Rewa district of Madhya Pradesh using geo-statistical techniques. The results are compared with univariate interpolation algorithms such as ordinary kriging and inverse distance weighing. The comparisons were performed with cross validation at sampling locations and assessed based on mean and root means squared errors. The results revealed that all the physico-chemical parameters exist within the permissible limits as per the standards hence quality of water is safe for irrigation purposes.
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