BP神经网络方法在地下水动态监测网质量评价中的应用

本文运用BP神经网络方法构建了地下水动态监测网的质量评价模型，并以甘肃省武威盆地的地下水位监测网为例进行了实例研究。研究表明，在武威和清源附近地下水监测点密度大于0．09／km^2的三个区域，需要进一步调整地下水监测点结构。武威以东、双城以南的地下水位漏斗区和武威以西的山前地带，需要增加地下水监测点。其它地下水监测点密度小于0．03／km^2的地区，则需要根据实际情况而决定。

Application of BP neural network to the quality assessment of groundwater dynamic monitoring network

This paper attemptes to construct a model of the quality assessment of groundwater dynamic monitoring network by BP neural network method, and carries out a case study of groundwater dynamic monitoring network in the Wuwei Basin, Gansu Province. The research results show that in the three areas near Wuwei and Qingyuan, where the density of observation wells is greater than 0.09/km^2 , the structure of the monitoring network needs to be adjusted ulteriorly. In the areas of depression cone, which lie in the east of Wuwei and south of Shuangcheng, and in the piedmont area, which lies in the west of Wuwei, the number of observation wells needs to be increased. In the other areas where the density of observation wells is less than 0.03/km^2 , the optimization and adjustment of monitoring network need to be determined according to the actual condition