摘要
气候变化对水资源的影响是一个重要的环境问题，应用人工神经网络方法建立了雅砻江和嘉陵江流域年均气温、年降水量与年径流之间的ＢＰ网络模型，利用建立的网络结构模拟了气温和降水变化对流域水资源环境的影响，结果表明气温增高和降水量减少将造成水资源量的大幅度减少。
The effect of climate change on water resource environment is an important environmental problem. In order to investigate this problem, two BP neural networks, in which the atmospheric temperature (T) and precipitation (P) are as input neurons and the runoff (Q) is as an output neuron, are designed for Yalongjiang and Jialingjiang River catchments. The results indicate that water resources will decrease greatly in these two river catchments when the atmospheric temperature rises and the precipitation decreases.
出处
《中国环境科学》
EI
CAS
CSSCI
CSCD
北大核心
1997年第5期414-417,共4页
China Environmental Science
基金
中国博士后基金
国家自然科学基金
关键词
气候
BP神经网络
水资源环境
climate influence, BP neural network,water resource environment.
