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Modelling of Declining Groundwater Depth in Kurukshetra District, Haryana, India


Affiliations
1 Department of Soil and Water Engineering, College of Agricultural Engineering and PHT, Ranipool 737 135, India
2 Water Technology Centre, Indian Agricultural Research Institute, New Delhi 110 012, India
 

Changing climate of a region coupled with spatiotemporal variability of rainfall has a significant effect on groundwater recharge. An effort has been made in this study to analyse the pre- and post-monsoon average groundwater depths of different blocks in Kurukshetra district, Haryana, India. The stochastic analysis of groundwater depth was carried out using auto regressive integrated moving average (ARIMA) model. Best-fitted models ARIMA (2, 1, 1) and ARIMA (0, 1, 2) were used for prediction of pre- and post-monsoon groundwater depth fluctuations up to the year 2020. Results indicate that by the year 2020, average groundwater depth in the pre- and post-monsoon seasons in the district is expected to decline by 5.63 and 5.72 m respectively, over the base year 2010. Results of this study will be helpful in evolving strategies for groundwater development and management.

Keywords

Climatic Variability, Groundwater Depth, Irrigation, Monsoon Rainfall.
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  • Modelling of Declining Groundwater Depth in Kurukshetra District, Haryana, India

Abstract Views: 299  |  PDF Views: 134

Authors

G. T. Patle
Department of Soil and Water Engineering, College of Agricultural Engineering and PHT, Ranipool 737 135, India
D. K. Singh
Water Technology Centre, Indian Agricultural Research Institute, New Delhi 110 012, India
A. Sarangi
Water Technology Centre, Indian Agricultural Research Institute, New Delhi 110 012, India

Abstract


Changing climate of a region coupled with spatiotemporal variability of rainfall has a significant effect on groundwater recharge. An effort has been made in this study to analyse the pre- and post-monsoon average groundwater depths of different blocks in Kurukshetra district, Haryana, India. The stochastic analysis of groundwater depth was carried out using auto regressive integrated moving average (ARIMA) model. Best-fitted models ARIMA (2, 1, 1) and ARIMA (0, 1, 2) were used for prediction of pre- and post-monsoon groundwater depth fluctuations up to the year 2020. Results indicate that by the year 2020, average groundwater depth in the pre- and post-monsoon seasons in the district is expected to decline by 5.63 and 5.72 m respectively, over the base year 2010. Results of this study will be helpful in evolving strategies for groundwater development and management.

Keywords


Climatic Variability, Groundwater Depth, Irrigation, Monsoon Rainfall.



DOI: https://doi.org/10.18520/cs%2Fv111%2Fi4%2F717-723