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中国科学院大学学报 ›› 2015, Vol. 32 ›› Issue (2): 192-199.DOI: 10.7523/j.issn.2095-6134.2015.02.007

• 环境科学与地理学 • 上一篇    下一篇

永定河生态修复地下水位主控因素与数值模拟预测不确定性

杨小芳1, 王明玉1, 王丽亚2, 赵建辉1   

  1. 1. 中国科学院大学水系统安全研究中心及资源与环境学院, 北京 100049;
    2. 北京市水文地质与工程地质大队, 北京 100195;
    3. 河南大学计算机与信息工程学院, 河南 开封 475001
  • 收稿日期:2014-04-24 修回日期:2014-05-26 发布日期:2015-03-15
  • 通讯作者: 王明玉, mwang@ucas.ac.cn
  • 基金资助:

    国家重点基础研究发展计划(973)项目(2010CB428804,2010CB428801)和国家科技重大专项课题(2011ZX05060-005)资助

Investigation of key controlling factors and numerical simulation uncertainty of the groundwater level companying with Yongding river ecological restoration

YANG Xiaofang1, WANG Mingyu1, WANG Liya2, ZHAO Jianhui1   

  1. 1. Center for Water System Security & College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;
    2. Beijing Institute of Hydrogeology and Engineering Geology, Beijing 100195, China;
    3. College of Computer and Information Engineering, Henan University, Kaifeng 475001, Henan, China
  • Received:2014-04-24 Revised:2014-05-26 Published:2015-03-15

摘要:

河流修复中的补水过程, 可导致周围地下水位抬升进而威胁地下工程与环境的安全.地下水预测模型不确定性分析, 可为河流生态修复管理决策提供依据.本文以北京永定河生态修复为例, 采用GMS软件建立了区域地下水流数值模型, 用敏感性分析法对地下水流场的主控因素进行了识别, 进而用蒙特卡洛技术研究并获得模型模拟预测结果的不确定性.本文探讨并提出了大尺度区域地下水预测模型不确定性分析的实用与有效方法.

关键词: 河流生态修复, 地下水数值模型, 主控因素, 蒙特卡洛模拟技术, 不确定性分析

Abstract:

River ecological restoration with water replenishment could considerably raise groundwater level and might then threaten safety of subsurface engineering and environment, while uncertainty analysis of groundwater level prediction can provide a basis for the effective management of river ecological restoration. Taking the ecological restoration of Yongding River in Beijing as a case, we built a groundwater model and determined the main controlling factors, and then obtained the uncertainty of the simulated groundwater levels by the Monte-Carlo technique, The practical and effective method has been proposed for uncertainty analysis of groundwater numerical model in large scale.

Key words: river ecological restoration, groundwater numerical model, main controlling factors, Monte-Carlo simulation technique, uncertainty analysis

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