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。
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。
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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