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A Simple Semi-distributed Hydrologic Model to Estimate Groundwater Recharge in a Humid Tropical Basin

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  • K. Raneesh
  • Santosh Thampi

Abstract

A semi-distributed groundwater recharge model that can be used to estimate the daily water-table fluctuations on a daily basis is presented. The model is based on the water-balance concept and links atmospheric and hydrogeologic parameters to different water uses. It is calibrated and validated using 10 years of data; data for the first 6 years - from 2000 to 2005 - is used for model calibration, whereas data for the remaining 4 years - from 2006 to 2009 - is used for validation. Goodness-of-fit measures such as the Nash-Sutcliffe Efficiency (E NS ) and the coefficient of determination (R 2 ) were evaluated to assess the performance of the model. This model can serve as a powerful tool to help engineers and decision makers in controlling excessive groundwater usage and preventing drastic depletion of groundwater resources. This is of considerable significance in basins of this type which are densely populated and the draft is reasonably high. This model demonstrated that with a reliable and detailed input database, the accuracy of predictions can be improved considerably. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • K. Raneesh & Santosh Thampi, 2013. "A Simple Semi-distributed Hydrologic Model to Estimate Groundwater Recharge in a Humid Tropical Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1517-1532, March.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:5:p:1517-1532
    DOI: 10.1007/s11269-012-0252-5
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    References listed on IDEAS

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    1. Xu Xu & Guanhua Huang & Zhongyi Qu & Luis Pereira, 2011. "Using MODFLOW and GIS to Assess Changes in Groundwater Dynamics in Response to Water Saving Measures in Irrigation Districts of the Upper Yellow River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(8), pages 2035-2059, June.
    2. Fakhri Manghi & Behrooz Mortazavi & Christie Crother & Moshrik Hamdi, 2009. "Estimating Regional Groundwater Recharge Using a Hydrological Budget Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(12), pages 2475-2489, September.
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    4. Pallavi Banerjee & V. Singh, 2012. "Statistical Approach for Comprehensive Planning of Watershed Development Through Artificial Recharge," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(10), pages 2817-2831, August.
    5. Roland Barthel & Tim Reichenau & Tatjana Krimly & Stephan Dabbert & Karl Schneider & Wolfram Mauser, 2012. "Integrated Modeling of Global Change Impacts on Agriculture and Groundwater Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 1929-1951, May.
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    1. Zhang Jing & Lan-yue Zhang & Qin Xie & Yao Li & Shi-huai Deng & Fei Shen & Yuan-wei Li & Hong Xiao & Gang Yang & Chun Song, 2016. "An Empirical Method to Investigate the Spatial and Temporal Distribution of Annual Average Groundwater Recharge Intensity-a Case Study in Grand River, Michigan, USA," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 195-206, January.

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