Discussion of “Estimation of Rainfall Erosion Index”

1975 ◽  
Vol 101 (3) ◽  
pp. 245-247
Author(s):  
Donald E. Woodward
Keyword(s):  
Erosion Index ◽  
Rainfall Erosion

Prediction of Soil Erosion Loss Mass in the Coal Mining Areas of Jilin Province Based on 3S Technology and BP Neural Network

2011 ◽  
Vol 225-226 ◽  
pp. 1246-1249
Author(s):  
Jie Tang ◽  
Yao Ji
Keyword(s):  
Neural Network ◽  
Soil Erosion ◽  
Coal Mining ◽  
Bp Neural Network ◽  
Jilin Province ◽  
Mining Areas ◽  
3S Technology ◽  
Erosion Index ◽  
Erosion Loss ◽  
Rainfall Erosion

This paper partitioned five major coal mining areas respectively in central, southern and eastern Jilin Province for case study based on current situation of exploitation and distribution of coal resources through artificial neural network(ANN) and the 3S technology to gain soil erosion loss mass. On the basis of RUSLE equation, BP neural network is fused to gain the rainfall erosion index of higher precision than those of traditional method. By extracting of indices and raster calculation on the platform of ERDAS and ArcGIS software, we made predication of soil erosion loss of the coal mining areas. After verification, the precision of rainfall erosion index is high, and thus improved the predicting accuracy of soil erosion. Comparative analysis shows that the soil erosion in central section of Jilin Province has much lower intensity, and high degree erosion occurred in the east and south mostly.

Discussion of “Estimation of Rainfall Erosion Index”

1975 ◽  
Vol 101 (3) ◽  
pp. 242-244
Author(s):  
Kenneth G. Renard ◽  
J. Roger Simanton
Keyword(s):  
Erosion Index ◽  
Rainfall Erosion

Estimation of Rainfall Erosion Index

1974 ◽  
Vol 100 (3) ◽  
pp. 293-307
Author(s):  
John K.H. Ateshian
Keyword(s):  
Erosion Index ◽  
Rainfall Erosion

DISTRIBUTION AND CORRELATION OF THE RAINFALL EROSION INDEX IN SOUTHERN LOUISIANA

1990 ◽  
Vol 33 (2) ◽  
pp. 0487-0492
Author(s):  
M. A. Breve ◽  
R. L. Bengtson ◽  
K. K. Hirschboeck ◽  
J. L. Fouss
Keyword(s):  
Erosion Index ◽  
Rainfall Erosion ◽  
Southern Louisiana

scholarly journals Model of rainfall erosion index for predicting the potential erosion rate by using a rainfall simulator

2020 ◽  
Vol 437 ◽  
pp. 012045
Author(s):  
Erni Yulianti ◽  
Lily Montarcih Limantara ◽  
Ery Suhartanto ◽  
Very Dermawan
Keyword(s):  
Erosion Rate ◽  
Rainfall Simulator ◽  
Erosion Index ◽  
Rainfall Erosion

EFFECTS OF POTATO CROPPING PRACTICES ON WATER RUNOFF AND SOIL EROSION

1990 ◽  
Vol 70 (2) ◽  
pp. 137-148 ◽  
Author(s):  
T. L. CHOW ◽  
H. CORMIER ◽  
J. L. DAIGLE ◽  
I. GHANEM
Keyword(s):  
Soil Loss ◽  
Universal Soil Loss Equation ◽  
Water Runoff ◽  
Slope Length ◽  
Cropping Practices ◽  
Erosion Index ◽  
Factor C ◽  
Runoff And Soil Loss ◽  
Soil Loss Equation ◽  
Rainfall Erosion

Using runoff-erosion plots (10 m wide × 30 m long), the effects of cropping practices on surface runoff and soil loss were examined on a Hommesville gravelly loam soil to evaluate the applicability of the Universal Soil Loss Equation in New Brunswick. The amount of water runoff and soil loss from continuous fallow, up-and-down slope planting of potatoes (Solanum tuberosum), and clover (Trifolium pratense) on 8 and 11% slopes were measured from 1983 to 1985. In addition, runoff and soil loss from contour planting of potatoes were measured on the 11% slope. Slope planting of potatoes resulted in higher runoff and soil loss than on fallow plots. There was considerable reduction in runoff and soil loss when potatoes were planted along the contour. Runoff and soil loss under clover were negligible. Rainfall erosion index (R) and slope length and steepness (LS) correlated well with the measured soil losses. However, both the measured soil credibility factor (K) and the cover and management factor (C) deviated markedly from the current values used for conservation planning. Key words: Universal Soil Loss Equation, rainfall erosion index, topographic factor, soil erodibility factor, cover and management factor, support practice factor

EVALUATION OF THE EROSION INDEX FOR THE PRAIRIES

1985 ◽  
Vol 65 (1) ◽  
pp. 225-228
Author(s):  
R. G. KACHANOSKI ◽  
E. de JONG
Keyword(s):  
Key Words ◽  
Distribution Curve ◽  
Climatological Data ◽  
Erosion Index ◽  
R Value ◽  
Alternative Equation ◽  
Generalized Distribution ◽  
Rain Data ◽  
Rainfall Erosion

Ateshian’s (1974) equation, used by Wall et al. (1983) to calculate the USLE rainfall erosion index (R) for Canada, appears to considerably overestimate the actual R value for Saskatchewan. An alternative equation derived using a generalized distribution curve for prairie rainstorms given by McKay (1970) predicted an R value of 350 for Saskatoon which was close to the 12-yr average (R = 340) for Saskatoon calculated from tipping bucket rain data. More R values need to be calculated from existing climatological data to determine which (if any) estimation equation is satisfactory. Key words: Rainfall factor, prediction, USLE

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