This paper presents a forecasting model of runoff to Wuyandong subterranean stream system by BP ANN based on the data of precipitation and flux in Luota, west Hunan.

采用湖南洛塔地区屋檐洞地下河系统降水—径流资料训练BP人工神经网络，建立了该系统的径流预测模型。

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Contribution percentages about precipitation to runoff were calculated to divide rapid flow and slow flow in the model, the proportion of them of Wuyandong subterranean stream system is 2 to 3.

通过降水对径流的贡献率进行快速流和慢速流的划分，屋檐洞地下河系统的快速流与慢速流比例接近2∶3。

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