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地下水动态预测的探讨 被引量:9

Preliminary Study on Groundwater Level Prediction
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摘要 简要介绍地下水数学模型的原理和应用实例,着重介绍在河北省大清河地下水系统的大沙河-磁河冲洪积扇孔隙地下水区,尝试建立地下水埋深变幅预测的统计相关方法和神经网络模型取得的良好效果;同时对地下水预测中的降水补给、边界和初始条件等的处理进行讨论,对数学模型和统计相关模型优缺点进行比较。 This paper briefly introduced the groundwater conception model and its application, and emphatically introduced the es- tablishment of correlation models and neutral network models for groundwater level prediction in alluvial fan porewater aquifer of dashahe-cihe region at Daqinghe groundwater aquifer system in Hebei Province. Issues such as replenishment of precipitation for ground water, mining yield of groundwater, boundary condition and initialization condition in groundwater prediction were discussed. Advantage and disadvantage of conception model and correlation model were also compared.
机构地区 水利部水文局
出处 《水文》 CSCD 北大核心 2013年第3期25-28,51,共5页 Journal of China Hydrology
关键词 地下水动态预测 数学模型 统计相关方法 神经网络 groundwater dynamic prediction conception model correlation model neutral network mod
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参考文献4

  • 1庄一鸰.水文预报[M].北京:水利电力出版社,1986..
  • 2] A. Sezin Tokar, Peggy, A. Johnson. Rainfall-runoff modeling using artificial neural network [J]. Journal of Hydrology Engineering, 1999,(6):232-239.
  • 3王光生,苏佳林,沈必成,刘超.神经网络理论在河道洪水预报中的应用[J].水文,2009,29(5):55-58. 被引量:6
  • 4Baxter E. Vieux. Distributed Hydrologic Modeling Using GIS (Second Edition)[M]. Dordrecht: Kluwer Academic Publishers, 2004.

二级参考文献3

  • 1Nachimuthu Karunanithi, William J. Grenney, Member, ASCE, Darrell Whitley, and Ken Bovee. Neural network for river flow prediction [J]. Journal of computing in civil engineering, April, 1994 : 201-220.
  • 2A. Sezin Tokar, Peggy, A. Johnson. Rainfall-runoff modeling using artificial neural network [J]. Journal of hydrology engineering, July, 1999:232-239.
  • 3苑希民,刘树坤,陈浩.基于人工神经网络的多泥沙洪水预报[J].水科学进展,1999,10(4):393-398. 被引量:19

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