Wischmeier WH, Smith D D. Predicting rainfall~erosionlossesfiomcroplandeastoftheRockyMountains.Agricultural Handbook 282. Washington DC, USDA.,1965.
[3]
WischmeierW H, SmithD D. Predicting rainfall erosionlosses. AgriculturalHandbook537,WashingtonDC,USDA .1978.
[4]
HamlettJ M, MillerD A, Day R L et al. Statewide GIS~basedrankingofwatershedsforagriculturalpollutionprevention. Journal of Soil and Water Conservation, 1992,47 (5): 399~404.
[5]
周伏建,陈明画,林福兴等.福建省土壤流失预报研究水土保持学报,1995,9(1):25~36.
[6]
FolleyA. Erosion risk assessment in Ghana using LISLE:the role of GIS. In: Klik A(ed.), Experiences with SoilErosionModels.Vienna,Austria:WienerMitteilungen,1998,151:273~ 286.
[7]
MellerowiczKT,ReesHW,ChowTLetal.Soilconservationplanning at thewatershedlevelusing theUniversal Soil Loss Equation with GIS and microcomputertechnologies:acasestudy.JournalofSoilandWaterConservation, 1994, 49 (2): 194~200.
Kinnell P I A. Converting LISLE soil erodibilities for usewith the QREI30 index. Soil&Tillage Research, 1998, 45:349~357.
[16]
Tran L T, Ridgley M A, Nearing M A et al. Using fuzzylogic~based modeling to improve the peuormance of therevised Universal Soil Loss Equation. 2002, in web sitehttp://topsoil.nserl.purdue.edu/nserlweb/isco99/pdf/isco99pdf.httn (verified March 13, 2002).
[17]
Licznar P, Nearing M A. Artificial neural networks of soilerosion and runoff prediction at the plot scale.Catena,2003,51: 89~114.
[18]
Renard K G, Foster G R, Weenies G A et al. RUSLE:revised Universal Soil Loss Equation. Journal of Soil andWater Consemation,1991, 46: 30~33.
[19]
George R Foster, Terrence E Toy,KennethG Renard.Comparison of the LISLE, RUSLE1.06c, and RUSLE2 forApplication to Highly Disturbed Lands. 2003, in web sitewww.tucson.ars.ag.gov/icrw/Proceedings/Foster.pdf