BP Neural Network Models of Soil Erosion on Slope

PENG Qing e

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BP Neural Network Models of Soil Erosion on Slope

更新时间：2024-11-07

- BP Neural Network Models of Soil Erosion on Slope
- Vol. 16, Issue 3, Pages: 79-82(2002)
- 作者机构：
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  CLC： S157.1
- Published：2002
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PENG Qing e. BP Neural Network Models of Soil Erosion on Slope[J]. 2002, 16(3): 79-82.
DOI：

PENG Qing e. BP Neural Network Models of Soil Erosion on Slope[J]. 2002, 16(3): 79-82. DOI：

摘要

根据四川井研县坡耕地实验点对不同坡度、不同耕作方式情况下水土流失的实测资料

引入神经网络建模方法

建立了不同坡度下顺坡垄作和横坡垄作的次降雨产沙网络模型

得出前次降雨因子即前次降雨量、前次降雨强度及此两次降雨间隔天数对本次降雨产沙影响很大

不可忽略。针对复杂的非线性坡面产沙系统

BP网络模型比传统的回归模型能更好地刻画其本质特征。这不仅揭示了坡耕地水土流失的内在机理

同时为定量研究顺坡垄作改为横坡垄作的水土保持效益提供了科学依据。

Abstract

Based on the experiment data of water and soil loss in different land farming and different slope in the Jingyan county of Sichuan province

it is used for neural network method

it is build neural network model of sediment yield on slope for different land farming

and obtained the mechanism of water and soil loss of slopes. It gives us more knowledge for quantitative analysis of water and soil conservation benefit.

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