Time Series Modelling for Groundwater Management

Hafiz Umar Farid, Zahid Mahmood Khan, Saddam Hussain

Time Series Modelling for Groundwater Management
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Published
18 October 2022
Pages
84
ISBN
9786205509098

Time Series Modelling for Groundwater Management

Hafiz Umar Farid, Zahid Mahmood Khan, Saddam Hussain

In arid and semi-arid regions, groundwater is often the primary source of water. However, over pumping for irrigation purposes has resulted in a general decline in groundwater levels/depth in the semi-arid aquifer. The spatiotemporal analysis of groundwater level for pre-monsoon season and post monsoon season were carried out of 203 sites for Haveli canal Circle of the Multan Irrigation zone, Punjab, Pakistan for the period 2005-2018 using the Mann-Kendall and Sen's slope estimator tests. The data distribution was tested for normality using the Kolmogorov-Smirnov normality test in the Statistical Package for Social Sciences (SPSS) software package. The results of the normality test showed that the data was not normally distributed (p = 0.01) as statistics for pre-monsoon and post-monsoon groundwater level were observed 0.195 and 0.159, respectively. The results also indicated that 33.1% sites showed a significant increasing trend in groundwater depth during pre-monsoon season while during post-monsoon season, 31.6% of sites show a significant increasing trend in groundwater depth.

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