Advances in Civil Engineering

Research Article

Test of the RUSLE and Key Influencing Factors Using GIS and Probability Methods: A Case Study in Nanling National Nature Reserve, South China

Table 6

Calculation of CF values of each data class for the influencing factors of soil erosion within the NNNR.
FactorLS-factorElevationAspectSlope patternK-factor
CF value100–200m400–700700–10001000–13001300–1600FlatNorthSouthConcaveFlatConvex0.146–0.1770.177–0.2070.207–0.238
Rill erosion0.010−0.0560.6170.6290.193−0.365−0.1530.4900.2250.815−0.1100.014−0.465−0.083−0.3010.083−0.030−0.526
Sheet erosion0.034−0.3570.000−0.337−0.196−0.1940.379−0.8730.0000.041−0.4250.2990.0500.2750.472−0.2350.2650.429
Gully erosion−0.0090.3500.7820.8440.5680.181−0.438−0.9560.0000.8830.143−0.3140.284−0.282−0.8680.197−0.241−0.463
Human-induced erosion0.0010.2880.6400.4710.756−0.032−0.698−0.6230.6020.8890.080−0.2450.1650.514−0.4250.333−0.433−0.896
FactorLithologyR-factorDistance to drainage networksWind speedC-factor
CF valueCretaceousJurassicCarboniferousDevonian8181.5–1032810328.−12474.512474.5–14621.6100–200200–300300–4002.85–5.135.13–7.417.41–9.700.102–0.3390.339–0.4490.449–1.182
Rill erosion−0.2730.060−0.597−0.324−0.374−0.5670.2900.409−0.511−0.5230.719−0.809−0.395−0.5480.000−0.988−0.6560.836
Sheet erosion−0.6260.1340.0000.000−0.549−0.2190.842−0.739−0.373−0.2690.818−0.8260.514−0.6660.000−0.9160.636−1.000
Gully erosion−0.259−0.0950.0000.3710.557−0.691−0.9830.749−0.533−0.797−0.56−0.546−0.567−0.3960.000−0.962−0.4840.813
Human-induced erosion0.226−0.4160.8450.3360.694−0.469−0.3590.663−0.424−0.5920.333−0.554−0.4960.4080.000−0.977−0.5940.837