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Modeling short-term spatial and temporal variability of groundwater level using geostatistics and GIS

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Title Modeling short-term spatial and temporal variability of groundwater level using geostatistics and GIS
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Creator Deepesh Machiwal
Mishra, A.
Jha, M.K.
Sharma, A.
Sisodia, S.S.
 
Subject Autocorrelation
Geary's C
Geostatistics
GIS
Groundwater level
Kriging
Moran's I
Spatial and temporal variations
 
Description Not Available
Continuous depletion of groundwater levels from deliberate and uncontrolled exploitation of groundwater resources lead to the severe problems in arid and semi-arid hard-rock regions of the world. Geostatistics and GIS have been proved as successful tools for efficient planning and management of the groundwater resources. The present study demonstrated applicability of geostatistics and GIS to understand spatial and temporal behavior of groundwater levels in a semi-arid hard-rock aquifer of Western India. Monthly groundwater levels of 50 sites in the study area for 36-month period (May 2006–June 2009; excluding three months) were analyzed to find spatial autocorrelation and variances in the groundwater levels. Experimental variogram of the observed groundwater levels was computed at 750 m lag distance interval and four most-widely used geostatistical models were fitted to the experimental variogram. The best-fit geostatistical model was selected by using two goodness-of-fit criteria, i.e., root mean square error (RMSE) and correlation coefficient (r). Then spatial maps of the groundwater levels were prepared through kriging technique by using the best-fit geostatistical model. Results of two spatial statistics (Geary's C and Moran's I) indicated a strong positive autocorrelation in the groundwater levels within 3 km lag distance. It is emphasized that the spatial statistics are promising tools for geostatistical modeling, which help choose appropriate values of model parameters. Nugget-sill ratio (
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Date 2019-07-03T09:37:22Z
2019-07-03T09:37:22Z
2012-01-06
 
Type Research Paper
 
Identifier Not Available
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http://krishi.icar.gov.in/jspui/handle/123456789/21115
 
Language English
 
Relation Not Available;
 
Publisher Springer