Numerical Study on Temporal Domain Discretizing for Hydrogeological Modeling Practices

[1] Ostrowski, M., Bach, M., Gamerith, V. & De Simone, S. (2010). Analysis of the time-step dependency of parameters in conceptual hydrological models. Institut Wasserbau und Wasserwirtschaft, Technische Universität Darmstadt, GermanySearch in Google Scholar

[2] Mitchell, G. & Diaper, C. (2006). Simulating the urban water and contaminant cycle. Environmental Modelling& Software. 21, 129-134. DOI:10.1016/j.envsoft.2005.03.003.10.1016/j.envsoft.2005.03.003Search in Google Scholar

[3] Mohrlok, U., Wolf, L. & Klinger, J. (2007). Quantification of infiltration processes in urban areas by accounting for spatial parameter variability. Journal of Soils and Sediments. 8(1), 34-42. DOI: 10.1065/jss2007.05.225.10.1065/jss2007.05.225Search in Google Scholar

[4] Downer, C.W. & Ogden, F.L. (2004). Appropriate vertical discretization of Richards’ equation for twodimensional watershed-scale modeling. Hydrological Processes. 18, 1-22. DOI: 10.1002/hyp.1306.10.1002/hyp.1306Search in Google Scholar

[5] Tustsumi, A., Jinno, K. & Berndtsson, R. (2004). Surface and subsurface water balance estimation by the groundwater recharge model and a 3-D two-phase flow model. Hydrological Sciences Journal. 49(2), 205-226. DOI: 10.1623/hysj.49.2.205.3483710.1623/hysj.49.2.205.34837Search in Google Scholar

[6] Sutanudjaja, E.H., van Beek, L.P.H, Jong, S.M., van Geer, F.C. & Bierkens, M.F.P (2011) Large-scale groundwater modeling using global datasets: a test case for the Rhine-Meuse basin. Hydrol. Earth Syst. Sci. Discuss. 8, 2555-2608. DOI: 10.5194/hessd-8-2555-2011.10.5194/hessd-8-2555-2011Search in Google Scholar

[7] Berendrecht, W.L., Lourens, A., Snepvangers, J.J.J.C. & Minnema, B. (2007). Large-Scale High-Resolution Groundwater Modelling using Grid Computing. Oxley, L. & Kulasiri, D. Eds. MODSIM. International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand.Search in Google Scholar

[8] Kostiakov, A.N. (1932). On the Dynamics of the Coefficient of Water Percolation in Soils and on the Necessityof Studying it from a Dynamic Point of View for the Purposes of Amelioration. Trans. Com. Int. Soc. Soil Sci. 6th. Moscow.Search in Google Scholar

[9] Maniak, U. (1997). Hydrologie Und Wasserwirtschaft: Eine Einfuhrung Fur Ingenieure. 4th ed. Springer.Search in Google Scholar

[10] Harbaugh, A.W., Banta, E.R., Hill, M.C. & McDonald, M.G. (2000). User guide to modularization conceptsand the ground-water flow process. MODFLOW-2000. The U.S. Geological Survey modular ground-water model. Open File Rep. USGS.Search in Google Scholar

[11] Nash, J.E. & Sutcliffe, J.V. (1970). River flow forecasting through conceptual models: Part 1. A discussion of principles. Journal of Hydrology. 10(3), 282-290. DOI: 10.1016/0022-1694(70)90255-610.1016/0022-1694(70)90255-6Search in Google Scholar

[12] Gupta, H.V., Sorooshian, S. & Yapo, P.O. (1999). Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration. J. Hydrologic Eng. 4(2), 135-143. DOI: 10.1061/(ASCE)1084-0699(1999)4:2(135)10.1061/(ASCE)1084-0699(1999)4:2(135)Search in Google Scholar

[13] Singh, J., Knapp, H.V. & Demissie, M. (2004). Hydrologic modeling of the Iroquois River watershed usingHSPF and SWAT. ISWS CR 2004-08. Champaign, Ill.: Illinois State Water Survey.Search in Google Scholar

[14] Moriasi, D.N., Arnold, J.G, van Liew, M.W., Bingner, R.L., Harmel, R.D & Veith, T.L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. American Society ofAgricultural and Biological Engineers. 50(3), 885-900.Search in Google Scholar