利用神经网络-缺省因子法及熵权法分析气象因素对水面蒸发的影响

Analysis of impact of meteorological factor on water evaporation based on neural network-default factor method and entropy method

根据新疆车尔臣流域且末县气象站2007年非结冰期(4-9月)日水面蒸发量及相关常规气象观测资料,利用神经网络-缺省因子法及熵权法分析了各气象要素对水面蒸发的影响程度。结果表明:水面蒸发对温度与风速最为敏感。希望从气象因素角度出发,为区域水资源优化调度提供参考。

according to daily evaporation and meteorological data during non - glacial period of 2007 from Qiemo meteorological station in Che^rchen River basin of Xinjiang （ April to September）, the paper used neural network - the default factor method and entropy method to analyze the influence of meteorological factors on water evaporation. Results show that temperature and wind speed is the most sensitive factors on the influence of water surface evaporation. Hope from meteorological factors point of view, to provide reference for regional water resources optimal allocation.