乌江34号泉磷污染预测

Phosphorus Pollution Prediction of No.34 Spring in Wujiang Town

通过对乌江镇34号泉的水文地质勘查及地下水污染监测表明,因位于该泉含水系统补给区的4#磷石膏堆场产生岩溶渗漏,使34号泉出现了磷污染。在确定了渗漏污染为岩溶裂隙管道线状弥散运移类型的基础上,建立了34号泉岩溶渗漏污染的BP神经网络预测模型,使用不同的训练函数对34号泉磷污染进行预测评价,预测结果接近实际,为乌江渡至楠木渡河段水污染防治提供了依据。

The hydrogeological exploration and groundwater pollution monitoring in No.34 spring of Wujiang town shows that karst leakage has occurred in the 4# phosphogypsumslag site located in the recharge area of the aquifer system,which caused the phosphorus pollution in No. 34 spring. So we established the BP neural network forecasting model of No.34 spring karst leakage pollution based on the dispersive-migration of karst fissure-conduit. It useed different training functions to forecast and evaluate the No. 34 springs phosphorus pollution. Because the prediction is close to reality,the result can provide the basis for water pollution prevention between Wujiang river and Nanmu river.