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.
- Geographic Information System
- Sediment Transport
- Soil Loss
- Overland Flow
- Sediment Flow
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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.
Bennet, JP, 1974, Concepts of Mathematical Modeling of Sediment Yield: Water Resour. Res., 10: 485–496.
Carslaw, HS, and Jaeger, JC, 1947, Conduction of Heat in Solids: Oxford Univ., London.
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.
Dingman, SL, 1984, Fluvial Hydrology: Freeman, New York.
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.
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.
Flanagan, DC, and Nearing, MA (eds.), 1995, USDA-Water Erosion Prediction Project: Report no. 10, USDA National Soil Erosion Laboratory, West Laffayette, Indiana.
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.
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
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.
Gardiner, CW, 1985, Handbook of Stochastic Methods for Physics, Chemistry, and the Natural Sciences: Springer, Berlin.
Glimm J, and Jaffe, A, 1972, Quantum Physics. A Functional Integral Point of View: Springer, Berlin.
Govindaraju, RS, and Kavvas, ML, 1991, Modeling the erosion process over steep slopes: approximate analytical solutions: J. Hydrology, 127: 279–305.
Haan, CT, Barfield, BJ, and Hayes, JC, 1994, Design Hydrology and Sedimentology for Small Catchments, Academic Press, San Diego: 242–243.
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.
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.
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).
Julien, PY, Saghafian, B, and Ogden, FL, 1995, Raster-based hydrologic modeling of spatially varied surface runoff: Water Res. Bull., 31: 523–536.
Karlin, S, and Taylor, HM, 1981, A Second Course in Stochastic Processes: Academic Press, New York.
Kirkby, MJ, 1987, Modelling some influences of soil erosion, landslides and valley gradient on drainage density and hollow development: Catena Suppl., 10: 1–14.
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.
Lettenmaier, DP, and Wood, EF, 1992, Hydrologic forecasting: in Handbook of Hydrology (DR Maidment, ed.), McGraw-Hill, Inc., New York: 26.1–26.30,
Meyer, LD, and Wischmeier, WH, 1969, Mathematical simulation of the process of soil erosion by water: Trans. Am. Soc. Agric. Eng., 12: 754–758.
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.
Mitas, L, and Mitasova, H, 1998, Distributed erosion modeling for effective erosion prevention: Water Res. Res., 34: 505–516.
Mitasova, H, and Mitas, L, 1999a, Modeling soil detachment by RUSLE3d using GIS. http://www2.gis.uiuc.edu:2280/modviz/erosion/usle.html
Mitasova, H, and Mitas, L, 1999b, Erosion/deposition modeling with USPED using GIS; http://www.gis.uiuc.edu:228O/modviz/erosion/usped.html
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
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.
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.
Moore ID, and Burch GJ, 1986, Modeling erosion and deposition: Topographic effects: Trans. Am. Soc. Agric. Eng., 29: 1624–1640.
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.
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.
National Research Council, 1999, New Strategies for America’s Watersheds: Washington DC, National Academy Press.
National Spatial Data Infrastructure, 2000, http://www.nsdi.org/
Ogden, F, and Heilig, A, 2001, Two-Dimensional Upland Erosion Modeling Using CASC2D, this volume.
Roseboom, D, and Mollahan, R, 1999, Lake Pittsfield National Monitoring Project: Report for Illinos State Water Survey and Illinois Environmental Protection Agency, Peoria, Illinois.
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.
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.
Soil Conservation Service, 1988, Guidelines for soil erosion and sediment control: The Connecticut Council on Soil and Water Conservation, Connecticut: 8–1.
Srinivasan, R, and Arnold, JG, 1994, Integration of a basin scale water quality model with GIS: Water Res. Bull., 30: 453–462.
Stakgold, I, 1979, Green’s Functions and Boundary Value Problems: John Wiley, New York.
Trimble, SW, 1999, Decreased rates of alluvial sediment storage in the Coon Creek basin, Wisconsin: Science, 285: 1244–1246.
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.
U.S. Environmental Protection Agency, 2000, Surf your watershed; http://www.epa.org.surf2/
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.
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.
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.
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.
Zhang Yusheng, 1999, GIS, Erosion and Deposition Modelling, and Caesium Technique: http://www.ex.ac.uk/ yszhang/welcome.htm
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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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