Suitability of S factor algorithms for soil loss estimation at gently sloped landscapes

Catena

Volumn 77, Issue 3, 2009, Pages 248-255

  Liu, Honghu ^a,b   Fohrer, Nicola ^a   Hörmann, Georg ^a   Kiesel, Jens ^a  

^a UNIVERSITY OF KIEL   (Germany)

^b CHANGJIANG RIVER SCIENTIFIC RESEARCH INSTITUTE   (China)

Author keywords

Algorithm; Gently sloped landscapes; Horizontal resolution; The S factor; USLE

Indexed keywords

ALGORITHM; ESTIMATION METHOD; FINITE DIFFERENCE METHOD; SLOPE;

CENTRAL EUROPE; EURASIA; EUROPE; GERMANY;

EID: 62249189610     PISSN: 03418162     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.catena.2009.02.001     Document Type: Article

References (27)

1. Dunn M., and Hickey R. The effect of slope algorithms on slope estimates within a GIS. Cartography 27 1 (1998) 9-15
2. DWD. Weather and climate data from the German Weather Service (Deutscher Wetterdienst, DWD). Station Flensburg (1428, KL meteorological network) from 1957 to 2006, Offenbach (2006)
3. Florinsky I.V. Accuracy of local topographic variables derived from digital elevation models. International Journal of Geographical Information Science 12 (1998) 47-61
4. Gao J. Resolution and accuracy of terrain representation by grid DEM at a micro scale. International Journal of Geographical Information Science 11 (1997) 199-212
5. Gao J. Impact of sampling intervals on the reliability of topographic variables mapped from grid DEM at a microscale. International Journal of Geographical Information Science 12 8 (1998) 875-890
6. Grimm, M., Jones, R.J.A., Montanarella, L., 2002. Soil Erosion Risk Assessment in Europe Using USLE and a K-factor Modified By Susceptibility to Surface Crusting. Technical Report, European Soil Bureau JRC, Ispra.
7. Hickey R. Slope angle and slope length solutions for GIS. Cartography 29 1 (2000) 1-8
8. Hickey R., Smith A., and Jankowski P. Slope length calculations from a DEM within ARC/INFO GRID. Computers, Environment and Urban Systems 18 5 (1994) 365-380
9. IDRISI. IDRISI, Version 2.0 for Windows User's Guide (1997). http://www.schleswig-holstein.de/LVERMA/DE/Geobasisdaten/AtkisDgm/atkisDGM__node.html#doc271654bodyText2 www.schleswig-holstein.de/LVERMA/DE/Geobasisdaten/AtkisDgm/atkisDGM__node.html#doc271654bodyText2
10. Jones K.H. A comparison of algorithms used to compute hill slope as a property of the DEM. Computers & Geosciences 24 4 (1998) 315-323
11. Liu B.Y., Nearing M.A., and Risse L.M. Slope gradient effects on soil loss for steep slopes. Transaction of the American Society of Agriculture Engineering ASAE 37 6 (1994) 1835-1840
12. LVA, Unknown Year. Landesvermessungsamt Schleswig-Holstein, Kiel. Source: grid size 50 × 50 m, grid size 25 × 25 m and grid size 5 × 5 m.
13. LVA, 2008. Landesvermessungsamt Schleswig-Holstein, Kiel, 2008. ATKIS©-DGM2-grid size 1 × 1 m.
14. McCool D.K., Brown L.C., Foster G.R., Mutchler C.K., and Meyer L.D. Revised slope steepness factor for the universal soil loss equation. Transactions of the ASAE 30 (1987) 1387-1396
15. McCool D.K., Foster G.R., and Weesies G.A. Slope length and steepness factor (LS). 1997. In: Renard K.G., Foster G.R., Weesies G.A., McCool D.K., and Yoder D.C. (Eds). Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE) (1997) 101-142
16. Mollenhauer K., Feldwisch N., Scholten T., and Scholz K. Bodenerosion durch Wasser. BVB-Materialien Edition (2006), Erich Schmidt Verlag, Berlin 151
17. Schwertmann U., Vogl W., and Kainz M. Bodenerosion durch Wasser: Vorhersage des Abtrags und Bewertung von Gegenmaßnahmen (1990), Ulmer, Stuttgart 64
18. Shanoltz V.O., Desai C.J., Zhang N., Kleene J.W., and Metz C.D. Hydrological/water quality modeling in a GIS environment. ASAE Paper 90-3033, St Joseph, MI: ASAE (1990)
19. Smith D.D., and Wischmeier W.H. Factors affecting sheet and rill erosion. Transactions - American Geophysical Union 38 6 (1957) 889-896
20. Thompson J.A., Bell J.C., and Butler C.A. Digital elevation model resolution: effects on terrain attribute calculation and quantitative soil-landscape modeling. Geoderma 100 (2001) 67-89
21. Toy T.J., Foster G.R., and Galetovic J.R. Guidelines for the Use of the Revised Universal Soil Loss Equation. Version 1.06 (1998)
22. Van der Knijff J.M., Jones R.J.A., and Montanarella L. Soil Erosion Risk Assessment in Europe. EUR 19044 EN vol. 34 (2000)
23. Van Remortel R.D., Maichle R.W., and Hickey R.J. Computing the LS factor for the revised universal soil loss equation through array-based slope processing of digital elevation data using a C++ executable. Computers and Geosciences 30 (2004) 1043-1053
24. Warren S.D., Hohmann M.G., Auerswald K., and Mitasova H. An evaluation of methods to determine slope using digital elevation data. Catena 58 (2004) 215-233
25. Wischmeier W.H., and Smith D.D. Predicting rainfall erosion losses-a guide to conservation planning. USDA Handb. 537. U.S. Government Printing Office, Washington, D.C (1978)
26. Zhou Q., and Liu X. Analysis of errors of derived slope and aspect related to DEM data properties. Computers and Geosciences 30 (2004) 369-378
27. Zingg A.W. Degree and length of land surface as it affects soil loss in runoff. Agricultural Engineer 21 (1940) 59-64