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Estimating the ground-water contribution in wetlands using modeling and digital terrain analysis

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Abstract

Wetland classification and management often requires information on the contribution of ground water to a wetland’s water budget. Direct estimation of this parameter, however, is time-consuming, expensive, and can typically only be accomplished for small areas. Thus, a method to characterize ground-water flow in wetland areas and regions may be useful in many applications. The estimation technique described combines the use of a digital elevation model (DEM) with transient numerical modeling and assumes that the water table reflects the general pattern of surface topography. The DEM grid elevations are used as initial heads in the model. Stepwise ground-water drainage from the flow domain is simulated until a reasonable match is obtained between the observed and model water tables. By knowing or assuming hydraulic conductivity and using the model water-table configuration, an estimate for ground-water flow to and from each discretized grid node can be estimated from Darcy’s Law and the Dupuit approximation. The net result, when mapped, shows the simulated distribution of recharge and discharge within and surrounding the wetland. Two examples from the Shingobee River headwaters in central Minnesota indicate how the method may be used. Geologically recent development of glacial landforms has led to numerous lakes, ponds, and wetlands in the region. Using a 30-m, 1∶24,000 scale DEM grid in combination with data from the U.S. Fish and Wildlife National Wetlands Inventory, the model predicts the most likely areas of ground-water interaction in and near wetlands and lakes. More quantitative results can be obtained by applying observed water budget and soil/aquifer parameter data.

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Literature Cited

  • Anderson, M. G. and T. P. Burt. 1978. The role of topography in controlling throughflow generation. Earth Surface Processes 3: 331–344.

    Article  Google Scholar 

  • Beven, K. 1994. TOPMODEL and GRIDTAB: a user’s guide to the distribution versions (94.01). Tech. Report TR/10/94, Centre for Research on Environmental Systems and Statistics, Lancaster University, Lancaster, UK.

    Google Scholar 

  • Beven, K. and M. J. Kirkby. 1979. A physically based variable contributing area model of basin hydrology. Hydrological Sciences Bulletin 24:43–69.

    Article  Google Scholar 

  • Brinson, M. M. 1993. A hydrogeomorphic classification for wetlands. U.S. Army Corps of Engineers, Vicksburg, MS, USA. Wetlands Research Program Technical Report WRP-DE-4.

    Google Scholar 

  • Cole, C. A., R. P. Brooks, and D. H. Wardrop. 1997. Wetland hydrology as a function of hydrogeomorphic (HGM) subclass. Wetlands 17:456–467.

    Google Scholar 

  • Crave, A. and C. Gascuel-Odoux. 1995. The influence of topography on time and space distribution of soil water content. Hydrological Processes 11:203–210.

    Article  Google Scholar 

  • Federal Register: June 20, 1997. National Action Plan to Implement the Hydrogeomorphic Approach to Assessing Wetland Functions. FR 62(1 19):33607–33620.

    Google Scholar 

  • Fetter, C. W. 1994. Applied Hydrogeology, Third Edition. Macmilan College Publishing Company, New York, NY, USA.

    Google Scholar 

  • Freeze, R. A. and J. A. Cherry. 1979. Groundwater. Prentice-Hall, Inc., Englewood Cliffs, NJ, USA.

    Google Scholar 

  • Gosselink, J. G. and R. E. Turner. 1978. The role of hydrology in freshwater wetland ecosystems. p. 63–78.In R.E. Good (ed.) Freshwater Wetlands Ecosystem Processes and Management Potential. Academic Press, New York, NY, USA.

    Google Scholar 

  • Hunt, R. J., D. P. Krabbenhoft, and M. P. Anderson. 1996. Groundwater inflow measurements in wetland systems. Water Resources Research 32:495–507.

    Article  Google Scholar 

  • Jackman, A. P., F. J. Triska, and J. H. Duff. 1997. Hydrologic examination of ground-water discharge in the upper Shingobee River. p. 137–142.In T.C. Winter (ed.), Hydrological and biogeochemical research in the Shingobee River headwaters area, north-central Minnesota. U.S. Geological Survey Water-Resources Investigations Report 96-4215.

  • LaBaugh, J. W. 1986. Wetland ecosystem studies from a hydrologic perspective. Water Resources Bulletin 22:1–10.

    Google Scholar 

  • Lent, R. M., P. K. Weiskel, F. P. Lyford, and D. S. Armstrong. 1997. Hydrologic indices for nontidal wetlands. Wetlands 17:19–30.

    Google Scholar 

  • Lissey, A. 1971. Depression-focused transient groundwater flow patterns in Manitoba. Geological Association of Canada Special Paper 9:333–341.

    Google Scholar 

  • Martz, L. W., and E. de Jong. 1988. CATCH: a FORTRAN program for measuring catchment area from digital elevation models. Computers and Geosciences 14:627–640.

    Article  Google Scholar 

  • McDonald, M. G. and A. W. Harbaugh. 1988. A modular three-dimensional finite difference ground-water flow model. U. S. Geological Survey Techniques of Water Rescurces Investigations, Book 6, Chapter A1.

  • Meyboom, P. 1966. Unsteady groundwater flow near a willow ring in hummocky moraine. Journal of Hydrology 4:38–62.

    Article  Google Scholar 

  • Mooers, H. D. and A. R. Norton. 1997. Glacial landscape evolution of the Itasca/St. Croix moraine interlobate area including the Shingobee River headwaters area. p. 3–10.In T.C. Winter (ed.) Hydrological and biogeochemical research in the Shingobee River headwaters area, north-central. Minnesota. U.S. Geological Survey Water-Resources Investigations Report 96-4215.

  • National Research Council. 1995. Wetlands: characteristics and boundaries. National Academy Press, Washington, DC, USA.

    Google Scholar 

  • Norton, A. R. 1983. Quaternary geology of the Itasca and St. Croix moraine interlobate area. M.S. Thesis. University of Minnesota. Duluth, MN, USA.

    Google Scholar 

  • Odeh, I. O., A. B. McBratney, and D. J. Chittleborough. 1994. Spatial prediction of soil properties from landform attributes derived from a digital elevation model. Geoderma 63:197–214.

    Article  Google Scholar 

  • O’Loughlin, E. M. 1981. Saturation regions in catchments and their relations to soil and topographic properties. Journal of Hydrology 53:229–246.

    Article  Google Scholar 

  • Quinn, P. F., K. J. Beven, P. Chevallier, and O. Planchon. 1991. The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models. Hydrological Processes 5: 59–79.

    Article  Google Scholar 

  • Rosenberry, D. O., T. C. Winter, D. A. Merk, G. H. Leavesley, and L. D. Beaver, 1997. Hydrology of the Shingobee River headwaters area. p. 19–23.In T.C. Winter (ed.) Hydrological and biogeochemical research in the Shingobee River headwaters area, north-central Minnesota. U.S. Geological Survey Water-Resources Investigations Report 96-4215.

  • Seigel, D. I. and T. C. Winter. 1980. Hydrologic setting of Williams Lake, Hubbard County, Minnesota. U.S. Geological Survey Open-File Report 80-403.

  • Stoertz, M. W. and K. R. Bradbury. 1989. Mapping recharge areas using a ground-water model—a case study. Ground Water 27: 220–228.

    Article  Google Scholar 

  • Thompson, J. A., J. C. Bell, and C. A. Butler. 1997. Quantitative soil-landscape modeling for estimating the areal extent of hydromorphic soils. Soil Science Society of America Journal 61:971–980.

    CAS  Google Scholar 

  • Wang, H. F. and M. P. Anderson. 1982. Introduction to Groundwater Modeling: Finite Difference and Finite Element Methods. W.H. Freeman and Company, San Francisco, CA, USA.

    Google Scholar 

  • Winter, T. C. 1981. Uncertainties in measuring the water balance of lakes. Water Resources Bulletin 17:82–115.

    Google Scholar 

  • Winter, T. C. (ed.). 1997. Hydrological and biogeochemical research in the Shingobee River headwaters area, north-central Minnesota. U.S. Geological Survey Water-Resources Investigations Report 96-4215.

  • Wolock, D. M. and C. V. Price. 1994. Effects of digital elevation model map scale and data resolution on a topography based watershed model. Water Resources Research 30:3041–3052.

    Article  Google Scholar 

  • Zhang, W. and D. R. Montgomery. 1994. Digital elevation model grid size, landscape representation, and hydrological simulations. Water Resources Research 30:1019–1028.

    Article  Google Scholar 

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Gerla, P.J. Estimating the ground-water contribution in wetlands using modeling and digital terrain analysis. Wetlands 19, 394–402 (1999). https://doi.org/10.1007/BF03161771

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  • DOI: https://doi.org/10.1007/BF03161771

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