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地下水动态预测的自记忆性模型及其应用研究
引用本文:李荣峰.地下水动态预测的自记忆性模型及其应用研究[J].山西水利科技,2005(1):6-8.
作者姓名:李荣峰
作者单位:山西省水利科学研究所,太原,030002
摘    要:地下水位动态变化是一个复杂的水文过程,准确地预测地下水位变化情况在水资源开发利用中有着重要意义。本文运用反演建模和自记忆性方程相结合的方法,建立了地下水位动态预测模型。实例表明,该模型具有简洁实用的优点,且有显著的拟合精度和预报准确率。

关 键 词:地下水动态  预测  反演建模  自记忆方程
文章编号:1006-8139(2005)01-06-03
修稿时间:2004年8月7日

Study for Self- memory Model And Its Application in Predicting Groundwater Level
Li Rongfeng.Study for Self- memory Model And Its Application in Predicting Groundwater Level[J].Shanxi Hydrotechnics,2005(1):6-8.
Authors:Li Rongfeng
Affiliation:Li Rongfeng
Abstract:The change of groundwater level dynamics is a complicate hydrological process. It is important to predict exactly the change of groundwater level in exploiting water resources.The prediction model of groundwater level dynamics was established using the combinative method of retrieved model and self-memorization equation in this paper. The case study shows that the model have the simple and pratical merit, and prominent fit and forecast accuracy.
Keywords:groundwater level dynamics prediction retrieved model self-memorization equation
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