[1]ZHU Xue-mei,FENG Hai-feng,LIN Li-jin,et al.Research of Soil Erosion Prediction Based on Back Propagation Neural Network Model in the Hilly Region of Central Sichuan[J].Research of Soil and Water Conservation,2011,18(02):1-5.
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Research of Soil Erosion Prediction Based on Back Propagation Neural Network Model in the Hilly Region of Central Sichuan
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
18
Number of periods:
2011 02
Page number:
1-5
Column:
Public date:
2011-04-20
- Title:
- Research of Soil Erosion Prediction Based on Back Propagation Neural Network Model in the Hilly Region of Central Sichuan
- Keywords:
- Central Sichuan hilly region; slop farmland; soil erosion; back propagation neural network model
- CLC:
- S157
- DOI:
- -
- Abstract:
- Based on back propagation (BP) neural network, the soil erosion was predicted according to the observational data from 1991 to 2000 of the six runoff plots at Suining Soil and Water Conservation Experiment Station in the central Sichuan Hilly Region. Five factors (rainfall, rainfall duration, rainfall intensity, vegetation cover, slope), nine factors (five factors plus early rainfall, early rainfall duration, pre-rainfall intensity and time interval before and after the rain), and ten factors (nine factors added to water conservation measures) are input respectively, and erosion is output in the model. The results showed as follows: the determination coefficient of 5 factors on soil erosion was 0.52, and the coefficient of efficiency of those was 0.48, which were not satisfactory, while those of 9 factors on soil erosion were 0.53 and 0.48, which were not good either, but those of 10 factors on soil erosion were 0.57 and 0.70, which achieved a satisfactory prediction results and business forecasting.
- References:
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