Current Science

The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


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.
User
Notifications
Font Size