摘要
降雨径流的调控利用是缓解黄土高原干旱缺水与控制水土流失的有效手段,研究区域降雨径流调控利用潜力的定量评价对黄土高原降雨径流合理利用的宏观决策与规划设计具有重要意义。以黄土高原为例,将可以调控利用的最大降雨径流量作为资源化潜力值,从宏观尺度上,系统分析了影响该潜力的各个因素,确定出黄土高原降雨径流调控利用潜力的各项评价指标,利用GIS技术,建立了降雨径流各个影响因素的专题图层,提取出各个影响因素专题信息。在上述基础上,引入人工神经网络建模方法,建立了黄土高原降雨径流调控利用潜力BP网络模型,并利用实际资料对网络模型进行了训练和预测,取得了较好的结果。评价模型可供黄土高原降雨径流调控利用及其生态与环境保护工作参考。
Rainfall runoff regulation and utilization is an effective way to alleviate control water and soil loss in the Loess Plateau of China. Quantitative assessment of drought and water shortage and regulation and utilization potential of rainfall runoff is very significant for macro decision - making and comprehensive planning of rainfall runoff. Taking the Loess Plateau as a sample region and maximum utilization capacity of rainfall runoff as potential, the influence factors of rainfall runoff regulation and utilization potential were analyzed systematically and macroscopically. Quantitative assessment indices of regional rainfall runoff regulation and utilization potential were defined. And the data with different origins, different scale and different types were integrated and the thematic maps data infor- mation of different indices was extracted using GIS technique. By way of assessment indices analysis, and based on the complex nonlinear characteristics of rainfall runoff, method of neural network was used, and three - layer feed - forward back - propagation network model for rainfall runoff regulation and utilization potential in the Loess Plateau was established. The network model was trained and predicted. The results show the back -propagation net- work model is reasonable and can be referred as an effective method for studying rainfall runoff laws. The assess- ment model plays an important role in sustainable and rational utilization of rainfall runoff and eco - environmental protection in the Loess Plateau of China.
出处
《自然灾害学报》
CSCD
北大核心
2009年第3期32-36,共5页
Journal of Natural Disasters
基金
国家自然科学基金项目(40701092)
国家科技支撑计划课题(2007BAD88B10,2007BAD88B05)
教育部重点项目(108182)
西北农林科技大学青年学术骨干支持计划资助
关键词
黄土高原
降雨径流
调控利用潜力
GIS
BP网络模型
Loess Plateau
rainfall runoff
regulation and utilization potential
GIS
back - propagation neural network
