通过水文干旱识别和枯水期径流量预估，建立了供水系统水文干旱的预测模型。
Based on the recognition of hydrological drought and the runoff forecasting during the drought period, a forecasting model of hydrological drought is established.
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.
利用灰色系统关联分析方法来研究NAM模型参数对模型模拟径流深、洪峰流量和峰现时间的影响。
The parameters of the NAM hydrological model are researched on affecting the depth of runoff volume, flood peak flux and flood peak appearance time.
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