Articles | Volume 18, issue 11
https://doi.org/10.5194/hess-18-4349-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-4349-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Nov 2014
Research article |
| 04 Nov 2014
Large-scale 3-D modeling by integration of resistivity models and borehole data through inversion
N. Foged
HydroGeophysics Group, Department of Geoscience, Aarhus University, Denmark
P. A. Marker
Department of Environmental Engineering, Technical University of Denmark, Denmark
A. V. Christansen
HydroGeophysics Group, Department of Geoscience, Aarhus University, Denmark
P. Bauer-Gottwein
Department of Environmental Engineering, Technical University of Denmark, Denmark
F. Jørgensen
Geological Survey of Denmark and Greenland, Groundwater and Quaternary Geology Mapping, Denmark
A.-S. Høyer
Geological Survey of Denmark and Greenland, Groundwater and Quaternary Geology Mapping, Denmark
HydroGeophysics Group, Department of Geoscience, Aarhus University, Denmark
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Guillaume Pirot, Tipaluck Krityakierne, David Ginsbourger, and Philippe Renard
Hydrol. Earth Syst. Sci., 23, 351–369, https://doi.org/10.5194/hess-23-351-2019, https://doi.org/10.5194/hess-23-351-2019, 2019
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To localize the source of a contaminant in the subsurface, based on concentration observations at some wells, we propose to test different possible locations and minimize the misfit between observed and simulated concentrations. We use a global optimization technique that relies on an expected improvement criterion, which allows a good exploration of the parameter space, avoids the trapping of local minima and quickly localizes the source of the contaminant on the presented synthetic cases.
Chia-Hao Chang, Ching-Sheng Huang, and Hund-Der Yeh
Hydrol. Earth Syst. Sci., 22, 3951–3963, https://doi.org/10.5194/hess-22-3951-2018, https://doi.org/10.5194/hess-22-3951-2018, 2018
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Existing analytical solutions associated with groundwater recharge are only applicable to the studies of saturated flow in aquifers. This paper develops an analytical solution for 3-D unsaturated–saturated flow due to localized recharge into an unconfined aquifer. The effects of unsaturated flow on the recharge process are analyzed. The present solution agrees well with a finite-difference solution. The solution’s predictions also match well with observed data obtained by a field experiment.
Chao-Chih Lin, Ya-Chi Chang, and Hund-Der Yeh
Hydrol. Earth Syst. Sci., 22, 2359–2375, https://doi.org/10.5194/hess-22-2359-2018, https://doi.org/10.5194/hess-22-2359-2018, 2018
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An semanalytical model is developed for estimating the groundwater flow and stream depletion rates (SDR) from two streams in an L-shaped fluvial aquifer located at Gyeonggi-do, Korea. The predicted spatial and temporal hydraulic heads agree well with those of simulations and measurements. The model can be applied to evaluate the contribution of extracted water from storage and nearby streams.
Xiuyu Liang, Hongbin Zhan, You-Kuan Zhang, and Jin Liu
Hydrol. Earth Syst. Sci., 21, 1251–1262, https://doi.org/10.5194/hess-21-1251-2017, https://doi.org/10.5194/hess-21-1251-2017, 2017
Chia-Hao Chang, Ching-Sheng Huang, and Hund-Der Yeh
Hydrol. Earth Syst. Sci., 20, 1225–1239, https://doi.org/10.5194/hess-20-1225-2016, https://doi.org/10.5194/hess-20-1225-2016, 2016
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Most previous solutions for groundwater flow due to localized recharge assumed either aquifer incompressibility or 2-D flow without vertical flow. This paper develops a 3-D flow model for hydraulic head change induced by the recharge with random transient rates in a compressible unconfined aquifer. The analytical solution of the model for the head is derived. The quantitative criteria for the validity of those two assumptions are presented by the developed solution.
A. J. Luhmann, M. D. Covington, J. M. Myre, M. Perne, S. W. Jones, E. C. Alexander Jr., and M. O. Saar
Hydrol. Earth Syst. Sci., 19, 137–157, https://doi.org/10.5194/hess-19-137-2015, https://doi.org/10.5194/hess-19-137-2015, 2015
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Water temperature is a non-conservative tracer. Variations in recharge temperature are damped and retarded as water moves through an aquifer due to heat exchange between water and rock. This paper presents relationships that describe thermal damping and retardation in karst conduits determined using analytical solutions and numerical simulations, with some support provided by field data. These relationships may be used with field data to estimate unknown flow path geometry in karst aquifers.
A. H. Alzraiee, D. Baú, and A. Elhaddad
Hydrol. Earth Syst. Sci., 18, 3207–3223, https://doi.org/10.5194/hess-18-3207-2014, https://doi.org/10.5194/hess-18-3207-2014, 2014
J. P. Bloomfield and B. P. Marchant
Hydrol. Earth Syst. Sci., 17, 4769–4787, https://doi.org/10.5194/hess-17-4769-2013, https://doi.org/10.5194/hess-17-4769-2013, 2013
C.-H. Chen, C.-H. Wang, S. Wen, T.-K. Yeh, C.-H. Lin, J.-Y. Liu, H.-Y. Yen, C. Lin, R.-J. Rau, and T.-W. Lin
Hydrol. Earth Syst. Sci., 17, 1693–1703, https://doi.org/10.5194/hess-17-1693-2013, https://doi.org/10.5194/hess-17-1693-2013, 2013
C.-T. Wang, H.-D. Yeh, and C.-S. Tsai
Hydrol. Earth Syst. Sci., 16, 441–449, https://doi.org/10.5194/hess-16-441-2012, https://doi.org/10.5194/hess-16-441-2012, 2012
Y.-C. Chang, H.-D. Yeh, K.-F. Liang, and M.-C. T. Kuo
Hydrol. Earth Syst. Sci., 15, 2165–2178, https://doi.org/10.5194/hess-15-2165-2011, https://doi.org/10.5194/hess-15-2165-2011, 2011
M.-H. Chuang, C.-S. Huang, G.-H. Li, and H.-D. Yeh
Hydrol. Earth Syst. Sci., 14, 1819–1826, https://doi.org/10.5194/hess-14-1819-2010, https://doi.org/10.5194/hess-14-1819-2010, 2010
S. Leschik, A. Musolff, R. Krieg, M. Martienssen, M. Bayer-Raich, F. Reinstorf, G. Strauch, and M. Schirmer
Hydrol. Earth Syst. Sci., 13, 1765–1774, https://doi.org/10.5194/hess-13-1765-2009, https://doi.org/10.5194/hess-13-1765-2009, 2009
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