Mapping Potential Infiltration Patterns Using Digital Elevation Model

DOI: 10.4236/jgis.2014.64031   PDF   HTML     3,671 Downloads   4,510 Views   Citations


This study attempts to simulate the spatial heterogeneity of infiltration in a drainage basin using digital elevation models. Infiltration capacity is one of the controlling factors in the formation of stream channels. Channel formation is also a function of the slope and the contributing area. Natural stream channels, if properly graded and adjusted to the present climate, reflect the interactions of local slope, contributing area, and permeability of surface materials. Channel networks can be delineated from a Digital Elevation Model (DEM) using a variety of algorithms using different thresholds for channel initiation. These algorithms delineate a channel network on the basis of local slope, curvature, and contributing area, without considering the permeability of surface cover. Hence, the difference in the structure of the two drainage networks, i.e. the surveyed drainage network obtained from field observation and the simulated network generated from the DEM, is indicative of the spatial heterogeneities in the permeability of the surface cover as shown in this paper. Spatially variable drainage density maps corresponding to the two networks have been used here to obtain normalized difference maps that characterize the potential infiltration anomalies within the catchment. The simulated spatial pattern is compared with the actual infiltration measurements in the field using infiltration tests. Strong positive correlation between the observed and modeled infiltration confirms the effectiveness of this technique in the rapid assessment of potential infiltration variability.

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Khan, H. , Khan, A. , Sreedevi, P. and Ahmed, S. (2014) Mapping Potential Infiltration Patterns Using Digital Elevation Model. Journal of Geographic Information System, 6, 345-357. doi: 10.4236/jgis.2014.64031.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Horton, R.E. (1933) The Role of Infiltration in the Hydrologic Cycle. American Geophysical Union, Transactions, 14, 446-460.
[2] Yair, A. and Lavee, H. (1981) Application of the Concept of Partial Area Contribution to Small Arid Watersheds. In: Singh, V., Ed., Proceedings International Symposium on Rainfall-Runoff Modeling, Mississippi State University, Mississippi Water Resource Publication, Ford Collins.
[3] Berndtsson, R. and Larson, M. (1987) Spatial Variability of Infiltration in a Semi-Arid Environment. Journal of Hydrology, 90, 117-133.
[4] Scanlon, B.R., Langford, R.P. and Goldsmith, R.S. (1999) Relationship between Geomorphic Settings and Unsaturated Flow in an Arid Setting. Water Resource Research, 35, 983-999.
[5] Loague, K. and Gander, G.A. (1990) R-5 Revisited 1. Spatial Variability of Infiltration on a Small Rangeland Catchment. Water Resources Research, 26, 957-971.
[6] Tricker, A.S. (1981) Spatial and Temporal Patterns of Infiltration. Journal of Hydrology, 49, 261-277.
[7] Teixeira, J., Chamine, H.I., Espinha Marques, J., Gomes, A., Carvalho, J.M., Perez Alberti, A. and Rocha, F.T. (2008) Integrated Approach of Hydrogeomorphology and GIS Mapping to the Evaluation of Groundwater Resources—An Example from the Hydro Mineral System of Caldas da Cavaca, NW Portugal. In: Global Water Resource Management, Scientific Publishers, Jodhpur, 227-249.
[8] Raaflaub, L.D. and Collins, M.J. (2006) The Effect of Error in Gridded Digital Elevation Models on the Estimation of Topographic Parameters. Environmental Modelling & Software, 21, 710-732.
[9] O’Callaghan, J.F. and Mark, D.M. (1984) The Extraction of Drainage Networks from Digital Elevation Data. Computer Vision, Graphics and Image Processing, 28, 328-344.
[10] Fairfield, J. and Leymarie, P. (1991) Drainage Networks from Grid Digital Elevation Models. Water Resources Research, 27, 709-717.
[11] Quinn, P.F., Beven, K.J., Chevallier, P. and Planchon, O. (1991) The Prediction of Hillslope Flow Paths for Distributed Hydrological Modeling Using Digital Terrain Models. Hydrological Processes, 5, 59-79.
[12] Lea, N.L. (1992) An Aspect Driven Kinematic Routing Algorithm. In: Parsons, A.J. and Abrahams, A.D., Eds., Overland Flow: Hydraulics and Erosion Mechanics, University College London Press, London, 393-407.
[13] Costa-Cabral, M.C. and Burges, S.J. (1994) Digital Elevation Model Networks (DEMON): A Model of Flow over Hillslopes for Computation of Contributing and Dispersal Areas. Water Resources Research, 30, 1681-1692.
[14] Tarboton, D. (1997) A New Method for the Determination of Flow Directions and Upslope Areas in Grid Digital Elevation Models. Water Resources Research, 33, 309-319.
[15] Dewandel, B., Lachassagne, P., Wyns, R., Maréchal, J.C. and Krishnamurthy, N.S. (2006) A Generalized 3-D Geological and Hydrogeological Conceptual Model of Granite Aquifers Controlled by a Single or Multiple Weathering. Journal of Hydrology, 330, 260-284.
[16] Maréchal, J.C., Wyns, R., Lachassagne, P. and Subrahmanyam, K. (2004) Vertical Anisotropy of Hydraulic Conductivity in the Fissured Layer of Hard Rock Aquifers Due to Geological Structure of Weathering Profiles. Journal of the Geological Society of India, 63, 545-550.
[17] Williams, J. and Bonell, M. (1988) The Influence of Scale of Measurement of the Spatial and Temporal Variability of the Philip Infiltration Parameters—An Experimental Study in an Australian Savannah Woodland. Journal of Hydrology, 104, 33-51.
[18] Jetten, V.G., Riezebos, H.T., Hoefsloot, F. and Van Rossum, J. (1993) Spatial Variability of Infiltration and Related Properties of Tropical Soils. Earth Surface Processes and Landforms, 18, 477-488.
[19] Ried, I. (1973) The Influence of Slope Orientation upon the Soil Moisture Regime, and Its Geomorphological Significance. Journal of Hydrology, 19, 309-321.
[20] Jha, M.K., Chowdhury, A., Chowdary, V.M. and Peiffer, S. (2007) Groundwater Management and Development by Integrated Remote Sensing and Geographic Information Systems: Prospects and Constraints. Water Resource Management, 21, 427-467.
[21] Montgomery, D.R. and Dietrich, W.E. (1988) Where Do Channels Begin? Nature, 336, 232-234.
[22] Horton, R.E. (1945) Erosional Development of Streams and Their Drainage Basins: Hydrophysical Approach to Quantitative Morphology. Geological Society of America Bulletin, 56, 275-370.[275:EDOSAT]2.0.CO;2
[23] Saraf, A.K., Choudhury, P.R., Roy, B., Sarma, B., Vijay, S. and Choudhury, S. (2004) GIS Based Surface Hydrological Modelling in Identification of Groundwater Recharge Zones. International Journal of Remote Sensing, 25, 5759-5770.
[24] Olaya, V. (2004) A Gentle Introduction to SAGA GIS. G?ettingen University, G?ettingen.
[25] Journel, A.G. and Huijbregts, C.J. (1978) Mining Geostatistics. Academic Press, London, 600 p.
[26] Ahmed, S. and De Marsily, G. (1987) Comparison of Geostatistical Methods for Estimating Transmissivity Using Data on Transmissivity and Specific Capacity. Water Resource Research, 23, 1717-1737.
[27] van Zyl, J. (2001) The Shuttle Radar Topography Mission (SRTM): A Breakthrough in Remote Sensing of Topography. Acta Astronautica, 48, 559-565.
[28] Jarvis, A., Rubiano, J., Nelson, A., Farrow, A. and Mulligan, M. (2004) Practical Use of SRTM Data in the Tropics: Comparisons with Digital Elevation Models Generated from Cartographic Data. Centro Internacional de Agricultura Tropical (CIAT) Working Document No. 198, Cali, 32 p.
[29] Band, L.E. (1986) Topographic Partition of Watersheds with Digital Elevation Models. Water Resources Research, 22, 15-24.
[30] Tarboton, D.G., Bras, R.L. and Rodrigues-Iturbe, I. (1991) On the Extraction of Channel Networks from Digital Elevation Data. Hydrological Processes, 5, 81-100.
[31] Montgomery, D.R. and Dietrich, W.E. (1992) Channel Initiation and the Problem of Landscape Scale. Science, 255, 826-830.
[32] Montgomery, D.R. and Foufoula-Georgiou, E. (1993) Channel Network Source Representation Using Digital Elevation Models. Water Resource Research, 29, 3925-3934.
[33] Moore, I.D., Burch, G.J. and MacKenzie, D.H. (1988) Topographic Effects on the Distribution of Surface Soil Water and the Location of Ephemeral Gullies. American Society of Agricultural Engineers Transactions, 31, 1098-1107.
[34] Moore, I.D., O’Loughlin, E.M. and Burch, G.J. (1988) A Contour-Based Topographic Model for Hydrological and Ecological Applications. Earth Surface Processes and Landforms, 13, 305-320.
[35] Dietrich, W.E., Wilson, C.J., Montgomery, D.R., McKean, J. and Bauer, R. (1992) Erosion Thresholds and Land Surface Morphology. Geology, 20, 675-679.<0675:ETALSM>2.3.CO;2
[36] Dietrich, W.E. and Dunne, T. (1993) The Channel Head. In: Beven K. and Kirkby M.J., Eds., Channel Network Hydrology, Wiley, New York, 175-219.
[37] Prosser, I.P. and Dietrich, W.E. (1995) Field Experiments on Erosion by Overland and Their Implication for a Digital Terrain Model of Channel Initiation. Water Resource Research, 31, 2867-2876.
[38] Howard, A.D. (1994) A Detachment-Limited Model of Drainage Basin Evolution. Water Resource Research, 30, 2261-2285.
[39] Broscoe, A.J. (1959) Quantitative Analysis of Longitudinal Stream Profiles of Small Watersheds. Office of Naval Research, Project NR 389-042, Technical Report No. 18, Department of Geology, Columbia University, New York.
[40] Tarboton, D.G. and Ames, D.P. (2001) Advances in the Mapping of Flow Networks from Digital Elevation Data. World Water and Environmental Resources Congress, May 20-24, 2001, Orlando.
[41] Tucker, G.E., Catani, F., Rinaldo, A. and Bras, R.L. (2001) Statistical Analysis of Drainage Density from Digital Terrain Data. Geomorphology, 36, 187-202.
[42] Visser, H. and de Nijs, T. (2006) The Map Comparison Kit. Environmental Modelling & Software, 21, 346-358.

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