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基于BP神经网络模型的川中丘陵区坡耕地土壤侵蚀预测研究
Alternative TitleResearch of Soil Erosion Prediction Based on Back Propagation Neural Network Model in the Hilly Region of Central Sichuan
朱雪梅1; 冯海峰1; 林立金2; 杨远祥1; 邵继荣3; 朱波4; 冯济敏5
2011
Source Publication水土保持研究
ISSN1005-3409
Volume7Issue:3Pages:1-5
SubtypeArticle
Contribution Rank4
Abstract利用地处川中丘陵区的遂宁水土保持试验站6个坡耕地径流小区1991-2000年的径流观测数据,采用基于Matlab的BP神经网络模型,将5个输入因子(降雨量、降雨历时、降雨强度、植被覆盖率、坡度)、9个输入因子(在5个输入因子基础上增加前期降雨量、前期降雨历时、前期降雨强度及前后降雨间隔时间)、10个输入因子(在9个输入因子基础上增加水土保持措施因子)作为输入因子,冲刷量作为输出因子进行土壤侵蚀建模及预测。结果表明:5个输入因子对输出因子的决定系数(R2)为0.52,模型效率系数(NE)为0.48,预测效果不理想;9个输入因子对输出因子的R2为0.53,NE为0.48,预测效果也不理想;10个输入因子对输出因子的R2为0.57,NE为0.70,预测效果较好,可以达到业务预报水平。
Other AbstractBased 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.
Keyword川中丘陵区 坡耕地 土壤侵蚀 BP神经网络模型
Indexed ByCSCD
Language中文
CSCD IDCSCD:4195797
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/26009
Collection山地表生过程与生态调控重点实验室
Corresponding Author邵继荣
Affiliation1.四川农业大学资源环境学院;
2.雅安水土保持生态环境监测分站;
3.四川农业大学生命科学与理学院;
4.中国科学院水利部成都山地灾害与环境研究所;
5.名山县水务局
Recommended Citation
GB/T 7714
朱雪梅,冯海峰,林立金,等. 基于BP神经网络模型的川中丘陵区坡耕地土壤侵蚀预测研究[J]. 水土保持研究,2011,7(3):1-5.
APA 朱雪梅.,冯海峰.,林立金.,杨远祥.,邵继荣.,...&冯济敏.(2011).基于BP神经网络模型的川中丘陵区坡耕地土壤侵蚀预测研究.水土保持研究,7(3),1-5.
MLA 朱雪梅,et al."基于BP神经网络模型的川中丘陵区坡耕地土壤侵蚀预测研究".水土保持研究 7.3(2011):1-5.
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