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https://doi.org/10.5194/hessd-2-917-2005
© Author(s) 2005. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/hessd-2-917-2005
© Author(s) 2005. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
10 Jun 2005
Status: this preprint was under review for the journal HESS. A revision for further review has not been submitted.
Nonlinear estimation of aquifer parameters from surficial resistivity measurements
Abstract. The present study is focused on an examination of the correlation relationships for hydraulic permeability and transmissivity with electrical resistivity in a range of fractured and alluvial aquifers. The observed permeability data for fractured rock aquifers at some locations is correlated nonlinearly with electrical resistivity of the aquifers estimated from resistivity sounding data and it is found that the permeability of the aquifer in this region exponentially decreases with increase in resistivity. Permeability of the hard rock aquifer within the weathered zone and alluvium aquifers increases exponentially with increase in resistivity, and transmissivity decreases exponentially. However, in case of fracture rock and sandwiched aquifers, transmissivity increases exponentially with increase in resistivity. An attempt has been made to find general functional relationship between hydraulic parameters and resistivity of the aquifer, and therefore, published and observed data from India and other parts of the world has been taken under consideration. It is found that for fracture rock and alluvium aquifers, permeability and the transmissivity are best defined as the exponential functions of aquifer resistivity. The application of electrical parameters obtained from resistivity data for evaluation of hydraulic parameters has been demonstrated in detail within the Osmania University Campus, Hyderabad (India). The empirical relations between aquifer parameters and resistivity are established for transforming resistivity distribution into permeability and transmissivity of the aquifer. The information thus obtained from resistivity data on permeability of the aquifer and transmissivity distribution in the study area can be used for optimal use and assessment of water resources.
How to cite. Singh, K. P.: Nonlinear estimation of aquifer parameters from surficial resistivity measurements, Hydrol. Earth Syst. Sci. Discuss., 2, 917–938, https://doi.org/10.5194/hessd-2-917-2005, 2005.
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Status: closed (peer review stopped)
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC S326: 'Review of Nonlinear estimation...\"', Anonymous Referee #1, 25 Jun 2005
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RC S336: 'Referee comment on KP Singh\'s paper', Anonymous Referee #2, 27 Jun 2005
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RC S423: 'reviewed by Lapenna', Anonymous Referee #3, 25 Jul 2005
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AC C1588: 'Final Response', Kushal Pal Singh, 11 Oct 2010
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC S326: 'Review of Nonlinear estimation...\"', Anonymous Referee #1, 25 Jun 2005
-
RC S336: 'Referee comment on KP Singh\'s paper', Anonymous Referee #2, 27 Jun 2005
-
RC S423: 'reviewed by Lapenna', Anonymous Referee #3, 25 Jul 2005
-
AC C1588: 'Final Response', Kushal Pal Singh, 11 Oct 2010
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Latest update: 20 Apr 2024
K. P. Singh
National Geophysical Research Institute, Uppal Road, Hyderabad-500007, India