Affordable Access

Access to the full text

Equations for predicting interrill erosion on steep slopes in the Three Gorges Reservoir, China

Authors
  • Feng, Qian
  • Linyao, Dong
  • Jigen, Liu
  • Bei, Sun
  • Honghu, Liu
  • Jiesheng, Huang
  • Hao, Li
Type
Published Article
Journal
Journal of Hydrology and Hydromechanics
Publisher
Sciendo
Publication Date
Feb 13, 2020
Volume
68
Issue
1
Pages
51–59
Identifiers
DOI: 10.2478/johh-2019-0024
Source
De Gruyter
Keywords
License
Green

Abstract

The Three Gorges Reservoir region suffers from severe soil erosion that leads to serious soil degradation and eutrophication. Interrill erosion models are commonly used in developing soil erosion control measures. Laboratory simulation experiments were conducted to investigate the relationship between interrill erosion rate and three commonly hydraulic parameters (flow velocity V, shear stress τ and stream power W). The slope gradients ranged from 17.6% to 36.4%, and the rainfall intensities varied from 0.6 to 2.54 mm·min−1. The results showed that surface runoff volume and soil loss rates varied greatly with the change of slope and rainfall intensity. Surface runoff accounted for 67.2–85.4% of the precipitation on average. Soil loss rates increased with increases of rainfall intensity and slope gradient, Regression analysis showed that interrill erosion rate could be calculated by a linear function of V and W. Predictions based on V (R2 = 0.843, ME = 0.843) and W (R2 = 0.862, ME = 0.862) were powerful. τ (R2 = 0.721, ME = 0.721) did not seem to be a good predictor for interrill erosion rates. Five ordinarily interrill erosion models were analyzed, the accuracy of the models in predicting soil loss rate was: Model 3 (ME = 0.977) > Model 4 (ME = 0.966) > Model 5 (ME = 0.963) > Model 2 (ME = 0.923) > Model 1 (ME = 0.852). The interrill erodibility used in the model 3 (WEPP) was calculated as 0.332×106 kg·s·m−4. The results can improve the precision of interrill erosion estimation on purple soil slopes in the Three Gorges Reservoir area.

Report this publication

Statistics

Seen <100 times