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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/6231
Title: Statistical Approach for Comprehensive Planning of Watershed Development Through Artificial Recharge
Authors: Banerjee, Pallavi
Singh V.S.
Published in: Water Resources Management
Abstract: The purpose of the study is to demonstrate that cross-correlation analyses can contribute to the artificial recharge study in regional level of shallow aquifer. Correlations between hydrologic time series data were analyzed to identify the hydrogeologic location for potential artificial recharge in district Surat, Gujrat, India. The natural groundwater-level fluctuations and rainfall data were used for the analyses. The effective development of groundwater resources is essential for a country like India. India receives a good amount of average annual rainfall (114 cm) but most of its part goes waste as runoff. Over exploitation of groundwater due to increasing population is an additional cause of water crisis that results in the reduction in per capita availability of water in the country. Artificial recharge is essential for effective development of groundwater resources. An effort has been made to evaluate the suitable recharge zone considering rainfall by arresting runoff to restore groundwater conditions using a statistical technique. Groundwater system in a basaltic terrain where the top weathered regolith forms shallow aquifer the water table variation is directly influenced with temporal rainfall variation. Understanding of this relation is of critical importance to management of groundwater resources. A diagnostic relationship between recharge time series and water level time series is used to serve the purpose to determine the best site for groundwater recharge. © 2012 Springer Science+Business Media B.V.
Citation: Water Resources Management (2012), 26(10): 2817-2831
URI: https://doi.org/10.1007/s11269-012-0048-7
http://repository.iitr.ac.in/handle/123456789/6231
Issue Date: 2012
Keywords: Cross correlation
Rainfall
Recharge
Statistical analysis
Water lavel
ISSN: 9204741
Author Scopus IDs: 24480592700
35510471700
Author Affiliations: Banerjee, P., Groundwater Division, National Geophysical Research Institute (CSIR), Hyderabad 500007, India
Singh, V.S., Groundwater Division, National Geophysical Research Institute (CSIR), Hyderabad 500007, India
Funding Details: Acknowledgement The authors wish to express their sincere thanks to the Director of National Geophysical Research Institute (CSIR), Hyderabad, India for support and allow us to publish the work. The work was supported financially by CSIR Fellowship, so authors are thankful to CSIR also.
Corresponding Author: Banerjee, P.; Groundwater Division, National Geophysical Research Institute (CSIR), Hyderabad 500007, India; email: vns_pal@yahoo.co.in
Appears in Collections:Journal Publications [ES]

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