地下河系统之间水位差异变化大，一般没有统一区域地下水位，难以区分补给资源、储存资源。
The water table discrepancies between sub-streams vary quickly, and there is no uniform groundwater head for an area.
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.
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。
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。
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.
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