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| 基于人工神经网络的坡面土壤侵蚀研究 | |
| 引用本文： | 赵西宁,吴普特,冯浩,王万忠,吴发启.基于人工神经网络的坡面土壤侵蚀研究[J].中国水土保持科学,2004,2(3):32-35. |
| 作者姓名： | 赵西宁 吴普特 冯浩 王万忠 吴发启 |
| 作者单位： | 1. 中国科学院水利部水土保持研究所 2. 中国科学院水利部水土保持研究所;西北农林科技大学资源环境学院,712100,陕西杨凌 3. 西北农林科技大学资源环境学院,712100,陕西杨凌 |
| 基金项目： | 国家863计划项目(2002AA2Z4051) |
| 摘 要： | 基于坡面土壤侵蚀产沙的复杂非线性特性,引用3层前馈型BP网络建模方法,对不同耕作措施坡面土壤侵蚀产沙进行模拟,模型输入层变量数为5个,分别代表降雨强度、坡度、坡长、土壤前期含水率和土壤容重,输出层变量为次降雨土壤侵蚀产沙量,并利用野外人工模拟降雨试验所得到的不同耕作措施(等高耕作、人工掏挖、人工锄耕和直线坡)坡面土壤侵蚀产沙实测资料,对网络进行模拟训练和预测,取得了较好的结果。该模型的建立与求解,为复杂坡面土壤侵蚀规律的研究提供了一条新途径。 |
| 关 键 词： | 坡面土壤侵蚀 耕作措施 侵蚀产沙量 BP神经网络 |
| 修稿时间： | 2004年1月8日 |
Research on Slope Soil Erosion Based on Manpower Neural Network |
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| Zhao Xining,Wu Pute,Feng Hao,Wang Wanzhong,Wu Faqi.Research on Slope Soil Erosion Based on Manpower Neural Network[J].Science of Soil and Water Conservation,2004,2(3):32-35. | |
| Authors: | Zhao Xining Wu Pute Feng Hao Wang Wanzhong Wu Faqi |
| Institution: | 1.Institute of Soil and Water Conservation, Chinese Academy of Science and Ministry of Water Resources; 2.College of Resource and Environment, Northwest Sci-Tech University of Agriculture and Forest: 712100,Yangling, Shaanxi, China |
| Abstract: | Based on the complex nonlinear characteristics of slope soil erosion, method of artificial neural network was used, and three-layer feed-forward back-propagation network model for slope soil erosion in different tillage measures (contour tillage, manpower digging, manpower hoeing, linear slope) was established. The structure of the model has five input variables including rainfall intensity, gradient, length of slope, percentage of prophase soil moisture content and soil volume weight and one output variable for the sediment yield of secondary rainfall of slope soil erosion. The network model was trained and predicted by using the observed data of the field simulated rainfall experiment. The results showed that back-propagation network model was reasonable and can be referred as an effective method for studying slope soil erosion laws. |
| Keywords: | slope soil erosion tillage measure amount of sediment yield back-propagation neural network |
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