Groundwater Vulnerability Assessment to Contamination Using Soil Moisture Flow and Solute Transport Modeling
Publication: Journal of Irrigation and Drainage Engineering
Volume 141, Issue 7
Abstract
The soil moisture flow and solute transport regimes of the vadose zone associated with specific hydrogeological conditions play a crucial role in pollution risk assessment of the underlying groundwater resources. An effort has been made to map the vulnerability of shallow groundwater to surface pollutants of Doon Valley, an intermontane watershed in North India situated between the lesser Himalayas and Shiwalik ranges, using soil moisture flow and contaminant transport modeling. The classical advection dispersion equation coupled with the Richard’s equation is numerically simulated at different point locations for assessing the intrinsic vulnerability of the valley. The role of soil type, slope, and land-use cover is considered for estimating the transient flux at the top boundary from daily precipitation and evapotranspiration data of the study area. The time required by solute peak to travel from the surface to the groundwater table at the bottom of the soil profile is considered as an indicator of vulnerability index. Results show a high vulnerability in the southern region, whereas low vulnerability is observed in the northeast and northern parts of the valley. These findings are in line with the observed low water table depths, less runoff, and higher hydraulic conductivity of the vadose zone material in the southern part of the valley. The study may assist in decision making related to planning of industrial locations and the sustainable water resources development of the valley.
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Acknowledgments
We acknowledge the Central Ground Water Board (CGWB), Dehradun, India, for providing hydrogeological data of the Doon Valley. We also thank Soil and Land Use Survey of India (SLUSI), New Delhi, for providing the soil and land-use maps of the study area.
References
Aller, L., Bennett, T., Lehr, J. H., and Petty, R. J. (1985). “DRASTIC: A standardized system for evaluating ground water potential using hydrogeological settings.” USEPA, Ada, OK.
Andreo, B., et al. (2006). “Karst groundwater protection: First application of a Pan-European approach to vulnerability, hazard and risk mapping in the Sierra de Libar (southern Spain).” Sci. Total Environ., 357(1–3), 54–73.
Andreu, L., Moreno, F., Jarvis, N. J., and Vachaud, G. (1994). “Application of the model MACRO to water movement and salt leaching in drained and irrigated marsh soils, Marismas, Spain.” Agric. Water Manage., 25(1), 71–88.
Burkart, M. R., Kolpin, D. W., Jaquis, R. J., and Cole, K. J. (1999). “Agrichemicals in ground water of the Midwestern USA: Relations to soil characteristics.” J. Environ. Qual., 28(6), 1908–1915.
Connell, L. D., and van den Daele, G. (2003). “A quantitative approach to aquifer vulnerability mapping.” J. Hydrology, 276(1–4), 71–88.
Foster, S. S. D. (1987). “Fundamental concepts in aquifer vulnerability, pollution risk and protection strategy.” Vulnerability of soil and groundwater to pollutants, W. van Duijvenbooden and H. G. van Waegeningh, eds., TNO Committee on Hydrological Research, The Hague, Netherlands, 69–86.
Hardelauf, H., et al. (2007). “PARSWMS: A parallelized model for simulating three-dimensional water flow and solute transport in variably saturated soils.” Vadose Zone J., 6(2), 255–259.
Harter, T., Ginn, T. R., Onsoy, Y. S., and Horwath, W. R. (2005). “Spatial variability and transport of nitrate in a deep alluvial vadose zone.” Vadose Zone J., 4(2), 443–454.
Mathur, S., and Yadav, B. K. (2009). “Phytoextraction modeling of heavy metal (lead) contaminated site using maize (Zea mays).” Pract. Period. Hazard. Toxic Radioact. Waste Manage., 229–238.
Merchant, J. W. (1994). “GIS-based groundwater pollution hazard assessment: A critical review of the DRASTIC model.” Am. Soc. Photogramm. Remote Sens., 60, 1117–1128.
Morales, C. E., Neuman, S. P., and Guadagnini, A. (2006). “Nonlocal and localized analyses of nonreactive solute transport in bounded randomly heterogeneous porous media: Theoretical framework.” Adv. Water Res., 29(8), 1238–1255.
Mualem, Y. (1976). “A new model for predicting the hydraulic conductivity of unsaturated porous media.” Water Resour. Res., 12(3), 513–522.
Neukum, C., and Azzam, R. (2009). “Quantitative assessment of intrinsic groundwater vulnerability to contamination using numerical simulations.” Sci. Total Environ., 408(2), 245–254.
Neukum, C., Hötzl, H., and Himmelsbach, T. (2008). “Validation of vulnerability mapping methods by field investigations and numerical modeling.” Hydrogeol. J., 16(4), 641–658.
Perfect, E., Sukop, M. C., and Haszler, G. R. (2002). “Prediction of dispersivity for undisturbed soil columns from water retention parameters.” Soil Sci. Soc. Am. J., 66(3), 696–701.
Secunda, S., Collin, M. L., and Melloul, A. J. (1998). “Groundwater vulnerability assessment using a composite model combining DRASTIC with extensive agricultural land use in Israel’s Sharon region.” J. Environ. Manage., 54(1), 39–57.
Simmons, C. T., Fenstemaker, T. R., and Sharp, J. M., Jr (2001). “Variable-density groundwater flow and solute transport in heterogeneous porous media: Approaches, resolutions and future challenges.” J. Contam. Hydrol., 52(1–4), 245–275.
Simunek, J., Sejna, M., and van Genuchten, M. Th. (1998). “The HYDRUS-1D software package for simulating the one-dimensional movement of water, heat, and multiple solutes in variably-saturated media, Version 2.0.”, Int. Ground Water Modeling Center, Colorado School of Mines, Golden, CO.
Siyal, A. A., Bristow, K. L., and Simunek, J. (2012). “Minimizing nitrogen leaching from furrow irrigation through novel fertilizer placement and soil surface management strategies.” Agric. Water Manage., 115, 242–251.
Tafteh, A., and Sepaskhah, A. R. (2012). “Application of HYDRUS-1D model for simulating water and nitrate leaching from continuous and alternate furrow irrigated rapeseed and maize fields.” Agric. Water Manage., 113, 19–29.
Teso, R. R., Poe, M. P., Younglove, T., and McCool, P. M. (1996). “Use of logistic regression and GIS modeling to predict groundwater vulnerability to pesticides.” J. Environ. Qual., 25(3), 425–432.
van Genuchten, M. T. (1980). “A closed-form equation for predicting the hydraulic conductivity of unsaturated soils.” Soil Sci. Soc. Am. J., 44(5), 892–898.
Worrall, F. (2002). “Direct assessment of groundwater vulnerability from borehole observations.” Groundwater sustainability, K. Hiscock, M. O. Rivett, and R. M. Davison, eds., Geological Society of London Special Publication, 193, 245–254.
Yadav, B. K., and Mathur, S. (2008). “Modeling soil water extraction by plants using nonlinear dynamic root density distribution function.” J. Irrig. Drain. Eng., 430–436.
Yadav, B. K., Mathur, S., and Siebel, M. A. (2009a). “Soil moisture dynamics modeling considering the root compensation mechanism for water uptake by plants.” J. Hydrol. Eng., 913–922.
Yadav, B. K., Mathur, S., and Siebel, M. A. (2009b). “Soil moisture flow modeling with water uptake by plants (wheat) under varying soil and moisture conditions.” J. Irrig. Drain. Eng., 375–381.
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© 2014 American Society of Civil Engineers.
History
Received: Jul 2, 2014
Accepted: Oct 13, 2014
Published online: Dec 3, 2014
Discussion open until: May 3, 2015
Published in print: Jul 1, 2015
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