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地下水动态监测网优化设计的有限元与卡尔曼滤波耦合算法 被引量:7

An Algorithm of Coupled Finite Element and Kalman Filtering for Optimal Design of Groundwater Regime Monitoring Network
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摘要 提出一种地下水流系统有限元与卡尔曼滤波耦合的模拟算法。该算法考虑了地下水运动的确定性和随机性特点 ,可用于地下水监测网的优化设计。应用该算法对大庆地区地下水动态监测网进行了分析 ,结果表明 ,大庆地区现有地下水位动态监测网难以达到监测目标 ,其最优地下水位动态监测网应由 88个监测孔组成 ,监测频率为每月 1次。 In this paper, an algorithm of coupled finite element and Kalman filtering is proposed based on the consideration of deterministic and stochastic behaviors of groundwater movement and is applied to optimal design of groundwater regime monitoring network in Daqing region. This algorithm is used to analyse the groundwater dynamic monitoring network in Daqing region. The results indicate that it is difficult to implement monitoring objective for existing groundwater regime monitoring network in Daqing region and its optimum groundwater monitoring network should consist of 88 observation wells with observation frequency of one time per month.
作者 仵彦卿
出处 《西安理工大学学报》 CAS 2000年第2期122-128,共7页 Journal of Xi'an University of Technology
基金 国家自然科学基金重点资助项目! ( 4 9731 0 30 )
关键词 地下水动态监测网 优化设计 卡尔曼滤波耦合算法 groundwater regime monitoring network optimal design algorithm of coupled finite element and Kalman filtering
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参考文献4

  • 1Hughes J P,Lettenmaier D P. Date requirements for kriging:estimation and networkdesign[J]. Water Resources Research,1981,17(6):1641~1650.
  • 2Wolf F G,Testa S M. Kriging:a geostatistical technique for evaluatinggroundwater monitoring networks[P]. National Conference on Hazardous Wastes andEnvironmental Emergencies,MD U S,1985.168~172.
  • 3Van Gerr F C. An equation based theoretical approach to network design forgroundwater level using kalman filters[P]. Proceedings of the Exeter SymposiumImprovements of Methods of Long Term Prediction of Variations in Ground Water Resourcesand Regimes Due to Human Activity,IAHS Publication,1982(136):214~250.
  • 4仵彦卿.地下水流系统确定─随机性数值模型研究[J].水文地质工程地质,1994,21(1):42-45. 被引量:5

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