Spatiotemporal & Geostatistical Modelling of Groundwater Level Depth Over Haryana-Punjab, India

Akhtar, Seemab and Hasnat, Mariya (2023) Spatiotemporal & Geostatistical Modelling of Groundwater Level Depth Over Haryana-Punjab, India. Journal of Geography, Environment and Earth Science International, 27 (11). pp. 95-118. ISSN 2454-7352

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Abstract

The present study focuses on the Haryana and Punjab regions of the Indus basin, India. The study aims to analyze the long-term spatial-temporal changes in the groundwater level from 1996 to 2019. The modelling study involves a twofold objective. First, the ordinary kriging method estimates and evaluates spatial and temporal variations in groundwater level depth (surface-to-water level). Second, the study applies a pixel-based Mann-Kendall trend analysis. The point kriging cross-validation (PKCV) results are optimum, acceptable, and supports the unbiasedness hypothesis of kriging. The trend, significant or not, is determined by the Mann-Kendall test, while Sen's slope estimator determines the slope magnitude of the trend. Results revealed a significantly (at 99% and 95% confidence interval) high-rate depletion zone of groundwater level from 1996–2019 in the southwestern-central region to the western-northern area for all four seasons. The average rate of groundwater level in these zones declined from 40.36 cm/yr. to 37.42 cm/yr. It was observed from trend modelling in the monsoon season for 2014-2019 (Six-year window) that the net per cent area of groundwater level for the study area in the high- and low-rate depletion zone was hiked by 0.90% and 2.17%, respectively.

Item Type: Article
Subjects: Universal Eprints > Geological Science
Depositing User: Managing Editor
Date Deposited: 11 Nov 2023 05:11
Last Modified: 11 Nov 2023 05:11
URI: http://journal.article2publish.com/id/eprint/3167

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