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Landscape Erosion and Evolution Modeling pp 321–347Cite as

Multiscale Soil Erosion Simulations For Land Use Management

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Abstract

Increasing pressures on the land and an improved understanding of human impacts on the environment are leading to profound changes in land management, with emphasis on integration of local actions with watershed-scale approaches. This trend has a significant impact on the development of supporting Geographic Information System (GIS) and modeling tools. Complex, distributed, physics-based models are needed to improve understanding and prediction of landscape processes at any point in space and time. At the same time, land owners and managers working in the watersheds and fields need fast and easy to use models for which the input data are readily available.

Keywords

  • Geographic Information System
  • Sediment Transport
  • Soil Loss
  • Overland Flow
  • Sediment Flow

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  • Auerswald, K, Eicher, A, Filser, J, Kammerer, A, Kainz, M, Rackwitz, R, Schulein, J, Wommer, H, Weigland, S, and Weinfurtner, K, 1996, Development and implementation of soil conser- vation strategies for sustainable land use — the Scheyern project of the FAM: in Development and Implementation of Soil Conservation Strategies for Sustainable Land Use, (H Stanjek, ed.), Int. Cong. of European Society for Soil Cconservation, Tour Guide, II, Technische Universitaet Muenchen, Freising-Weihenstephan, Germany: 25–68.

    Google Scholar 

  • Bennet, JP, 1974, Concepts of Mathematical Modeling of Sediment Yield: Water Resour. Res., 10: 485–496.

    CrossRef  Google Scholar 

  • Carslaw, HS, and Jaeger, JC, 1947, Conduction of Heat in Solids: Oxford Univ., London.

    Google Scholar 

  • Desmet, PJJ, and Govers, G, 1996, A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units: J. Soil Water Cons., 51: 427–433.

    Google Scholar 

  • Dingman, SL, 1984, Fluvial Hydrology: Freeman, New York.

    Google Scholar 

  • Doe, WW, Saghafian, B, and Julien, PY, 1996, Land Use Impact on Watershed Response: The Integration of Two-dimensional Hydrological Modeling and Geographical Information Systems: Hydrol. Proc., 10: 1503–1511.

    CrossRef  Google Scholar 

  • Flanagan, D, Ascough, J, and Nearing, M, 2001, The Water Erosion Prediction (WEPP) Model: in Landscape Erosion and Evolution Modeling (RS Harmon and WW Doe III, eds.), Kluwer, New York: 145–200.

    CrossRef  Google Scholar 

  • Flanagan, DC, and Nearing, MA (eds.), 1995, USDA-Water Erosion Prediction Project: Report no. 10, USDA National Soil Erosion Laboratory, West Laffayette, Indiana.

    Google Scholar 

  • Foster, GR, 1982, Modeling the erosion processes: in Hydrologic Modeling of Small Water- sheds (CT Haan, HD Johnson, and DL Brakensiek, eds.), Am. Soc. of Agric. Eng. Monogr. No. 5, St. Joseph, Minnesota: 197–380.

    Google Scholar 

  • Foster, GR, and Meyer, LD, 1972, A closed-form erosion equation for upland areas: in Sedi- mentation: Symposium to Honor Prof H.A. Einstein (HW Shen, ed.), Colorado State University, Ft. Collins, Colorado: 12.1–12.19

    Google Scholar 

  • Foster, GR, 1990, Process-based modelling of soil erosion by water on agricultural land: in Soil Erosion on Agricultural Land(J Boardman, IDL Foster, and JA Dearing, eds.), John Wiley, New York: 429–445.

    Google Scholar 

  • Gardiner, CW, 1985, Handbook of Stochastic Methods for Physics, Chemistry, and the Natural Sciences: Springer, Berlin.

    Google Scholar 

  • Glimm J, and Jaffe, A, 1972, Quantum Physics. A Functional Integral Point of View: Springer, Berlin.

    Google Scholar 

  • Govindaraju, RS, and Kavvas, ML, 1991, Modeling the erosion process over steep slopes: approximate analytical solutions: J. Hydrology, 127: 279–305.

    CrossRef  Google Scholar 

  • Haan, CT, Barfield, BJ, and Hayes, JC, 1994, Design Hydrology and Sedimentology for Small Catchments, Academic Press, San Diego: 242–243.

    Google Scholar 

  • Hairsine, PB, and Rose, CW, 1992, Modeling water erosion due to overland flow using physical principles 1. Sheet flow: Water Res. Res., 28: 237–243.

    CrossRef  Google Scholar 

  • Hong, S, and Mostaghimi, S, 1995, Evaluation of selected management practices for nonpoint source pollution control using a two-dimensional simulation model: Am. Soc. Agric. Eng., paper no. 952700. Summer meeting of the ASAE, Chicago, Illinois.

    Google Scholar 

  • Johnston, DM, and Srivastava, A, 1999, Decision Support Systems for Design and Planning: The Development of HydroPEDDS (Hydrologic Performance Evaluation and Design Decision Support) System for Urban Watershed Planning: in 6th International Conference on Computers in Urban Planning and Urban Management (CUPUMS’99), Venice, Italy (CDROM).

    Google Scholar 

  • Julien, PY, Saghafian, B, and Ogden, FL, 1995, Raster-based hydrologic modeling of spatially varied surface runoff: Water Res. Bull., 31: 523–536.

    CrossRef  Google Scholar 

  • Karlin, S, and Taylor, HM, 1981, A Second Course in Stochastic Processes: Academic Press, New York.

    Google Scholar 

  • Kirkby, MJ, 1987, Modelling some influences of soil erosion, landslides and valley gradient on drainage density and hollow development: Catena Suppl., 10: 1–14.

    Google Scholar 

  • Lane, LJ, Nichols, M, Levick, L, Kidwell, M, Miller, B, 2001, A Simulation Model for Erosion and Sediment Yield at the Hillslope Scale: in Landscape Erosion and Evolution Modeling (RS Harmon and WW Doe III, eds.), Kluwer, New York: 201–238.

    CrossRef  Google Scholar 

  • Lettenmaier, DP, and Wood, EF, 1992, Hydrologic forecasting: in Handbook of Hydrology (DR Maidment, ed.), McGraw-Hill, Inc., New York: 26.1–26.30,

    Google Scholar 

  • Meyer, LD, and Wischmeier, WH, 1969, Mathematical simulation of the process of soil erosion by water: Trans. Am. Soc. Agric. Eng., 12: 754–758.

    Google Scholar 

  • Mitas, L, and Mitasova, H, 1999, Spatial Interpolation: in Geographical Information Systems: Principles, Techniques, Management and Applications (P Longley, MF Goodchild, DJ Maguire, and DW Rhind eds.), John Wiley, New York: 481–492.

    Google Scholar 

  • Mitas, L, and Mitasova, H, 1998, Distributed erosion modeling for effective erosion prevention: Water Res. Res., 34: 505–516.

    CrossRef  Google Scholar 

  • Mitasova, H, and Mitas, L, 1999a, Modeling soil detachment by RUSLE3d using GIS. http://www2.gis.uiuc.edu:2280/modviz/erosion/usle.html

    Google Scholar 

  • Mitasova, H, and Mitas, L, 1999b, Erosion/deposition modeling with USPED using GIS; http://www.gis.uiuc.edu:228O/modviz/erosion/usped.html

    Google Scholar 

  • Mitasova, H, Mitas, L, Brown, WM, and Johnston, D, 1999, Terrain modeling and Soil Erosion Simulations for Fort Hood and Fort Polk test areas: Report for US Army Construction Engineering Research Laboratory, http://www2.gis.uiuc.edu:2280/modviz/reports/cerl99/rep99.html

    Google Scholar 

  • Mitasova, H, Hofierka, J, Zlocha, M, and Iverson, LR, 1997, Modeling topographic potential for erosion and deposition using GIS: Reply to a comment. Int. J. GIS, 11:611–618.

    Google Scholar 

  • Mitasova, H, Hofierka, J, Zlocha, M, and Iverson, LR, 1996, Modeling topographic potential for erosion and deposition using GIS: Int. J. GIS, 10: 629–641.

    Google Scholar 

  • Moore ID, and Burch GJ, 1986, Modeling erosion and deposition: Topographic effects: Trans. Am. Soc. Agric. Eng., 29: 1624–1640.

    Google Scholar 

  • Moore, ID, and Foster, GR, 1990, Hydraulics and overland flow: in Process Studies in HilLlope Hydrology (MG Anderson and TP Burt, eds.), John Wiley, New York: 215–54.

    Google Scholar 

  • Moore, ID, Turner, AK, Wilson, JP, Jensen, SK, and Band, LE, 1993, GIS and land surface- subsurface process modeling: in Geographic Information Systems and Environmental Modeling (MF Goodchild, LT Steyaert, and BO Parks, eds.), Oxford Univ. Press, New York: 196–230.

    Google Scholar 

  • National Research Council, 1999, New Strategies for America’s Watersheds: Washington DC, National Academy Press.

    Google Scholar 

  • National Spatial Data Infrastructure, 2000, http://www.nsdi.org/

  • Ogden, F, and Heilig, A, 2001, Two-Dimensional Upland Erosion Modeling Using CASC2D, this volume.

    Google Scholar 

  • Roseboom, D, and Mollahan, R, 1999, Lake Pittsfield National Monitoring Project: Report for Illinos State Water Survey and Illinois Environmental Protection Agency, Peoria, Illinois.

    Google Scholar 

  • Rouhi, A, and Wright, J, 1995, Spectral implementation of a new operator splitting method for solving partial differential equations: Computers in Phys., 9: 554–563.

    CrossRef  Google Scholar 

  • Saghafian, B, 1996, Implementation of a Distributed Hydrologic Model within GRASS: in GIS and Environmental Modeling: Progress and Research Issues (MF Goodchild, LT Steyaert, and BO Parks, eds.), GIS World, Inc.: 205–208.

    Google Scholar 

  • Soil Conservation Service, 1988, Guidelines for soil erosion and sediment control: The Connecticut Council on Soil and Water Conservation, Connecticut: 8–1.

    Google Scholar 

  • Srinivasan, R, and Arnold, JG, 1994, Integration of a basin scale water quality model with GIS: Water Res. Bull., 30: 453–462.

    CrossRef  Google Scholar 

  • Stakgold, I, 1979, Green’s Functions and Boundary Value Problems: John Wiley, New York.

    Google Scholar 

  • Trimble, SW, 1999, Decreased rates of alluvial sediment storage in the Coon Creek basin, Wisconsin: Science, 285: 1244–1246.

    CrossRef  Google Scholar 

  • Tucker, GE, Lancaster, ST, Gasparini, NM, Bras, RL, 2001, The channel-hillslope intergrated landscape development model — CHILD: in Landscape Erosion and Evolution Modeling (RS Harmon and WW Doe III, eds.), Kluwer, New York: 349–384.

    CrossRef  Google Scholar 

  • U.S. Environmental Protection Agency, 2000, Surf your watershed; http://www.epa.org.surf2/

    Google Scholar 

  • Vieux, BE, Farajalla, NS, and Gaur, N, 1996, Integrated GIS and distributed storm water runoff modeling: in GIS and Environmental Modeling: Progress and Research Issues (MF Goodchild, LT Steyaert, and BO Parks, eds.), GIS World, Inc.: 199–205.

    Google Scholar 

  • Willgoose, GR, and Gyasi-Agyei, Y, 1995, New technology in hydrology and erosion assessment for mine rehabilitations: in Proc. of the APCOM XXV Conference, Brisbane, 555–562.

    Google Scholar 

  • Willgoose, GR, Bras, RL, and Rodriguez-Iturbe, I, 1989, A physically based channel network and catchment evolution model: Tech. Rep. No. 322, Ralph Parsons Lab., Massachusets Inst. Tech.

    Google Scholar 

  • Wilson, JP, and Lorang, MS, 1999, Spatial Models of Soil Erosion and GIS: in Spatial Models and GIS: New Potential and New Models (M Wegener, and AS Fotheringham, \eds.), Taylor and Francis, London: 83–108.

    Google Scholar 

  • Zhang Yusheng, 1999, GIS, Erosion and Deposition Modelling, and Caesium Technique: http://www.ex.ac.uk/ yszhang/welcome.htm

    Google Scholar 

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Author information

Authors and Affiliations

  1. University of Illinois at Urbana-Champaign, USA

    Helena Mitasova

  2. North Carolina State University, USA

    Lubos Mitas

Authors
  1. Helena Mitasova
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  2. Lubos Mitas
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Editor information

Editors and Affiliations

  1. Army Research Office, Army Research Laboratory, Research Triangle Park, North Carolina, USA

    Russell S. Harmon

  2. Center for Environmental Management of Military Lands, Colorado State University, Fort Collins, Colorado, USA

    William W. Doe III

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Mitasova, H., Mitas, L. (2001). Multiscale Soil Erosion Simulations For Land Use Management. In: Harmon, R.S., Doe, W.W. (eds) Landscape Erosion and Evolution Modeling. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0575-4_11

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  • DOI: https://doi.org/10.1007/978-1-4615-0575-4_11

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5139-9

  • Online ISBN: 978-1-4615-0575-4

  • eBook Packages: Springer Book Archive

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