Journal of Geological Society of India (Online archive from Vol 1 to Vol 78)

G. S. Thakur ¹, H. U. Usmani ², S. K. Gupta ¹

Affiliations
1 Department of Applied Geology, Dr. H.S. Gour University, Sagar - 470 003, IN
2 Department of Geology, Govt. P.G. College, Chhatarpur - 471 001, IN

Abstract

No Abstract.

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G. S. Thakur ¹, T. Thomas ²

Affiliations
1 Department of Applied Geology, Dr. H. S. Gaur University, Sagar - 470 003, IN
2 National Institute of Hydrology, Manorama Colony, Sagar - 470 001, IN

Abstract

Groundwater being an important component of the hydrological cycle as it sustains the streamflow during precipitation free periods and is a major source of water supply. The dependence on the groundwater has increased drastically over the years leading to over exploitation of the aquifers. Therefore, it is imperative to assess the extent of exploitation and analyse the groundwater level scenarios in the area of interest. The existence of a trend in a hydrological time series can be detected by statistical tests. The present study investigates the application of various methods for identification of trends in groundwater levels in few blocks of Sagar district, which faces severe water scarcity owing to the declining groundwater levels. The non-parametric Kendal rank correlation test as well as the parametric linear regression test has been used for trend detection based on the analysis of the seasonal groundwater levels. Kendal's rank correlation test, has been applied to identify the trend persisting in the data and the linear regression test is used to identify the significance of the slope. The analysis indicates that the time series of groundwater levels are cyclical with characteristics of seasonal variation in all the blocks coupled with a declining trend at Sagar, Khurai and Bina.

Keywords

Groundwater, Trend Detection, Kendal Rank Correlation Test, Linear Regression Test, Madhya Pradesh.

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