长江科学院院报 ›› 2011, Vol. 28 ›› Issue (12): 107-111.

• 流域数字模拟 • 上一篇    下一篇

垃圾填埋场渗滤液地下迁移的数值模拟及其模型参数的敏感性分析

 冯兆洋1, 张辉2, 董少刚2   

  1. 1.长江科学院 水资源综合利用研究所,武汉  430010;2.中国地质大学(武汉) 环境学院,武汉  430074
  • 收稿日期:2011-10-25 出版日期:2011-12-01 发布日期:2011-12-05
  • 作者简介:冯兆洋(1984-),男,山东泰安人,硕士,主要研究方向为水环境污染治理与修复,(电子信箱)fengzy1314@126.com
  • 基金资助:

    长江科学院博士启动基金CKSQ2010077

Numerical Simulation of Subsurface Movement of Landfill Leachate and Sensitivity Analysis of Model Parameters

 FENG  Zhao-Yang1, ZHANG  Hui2, DONG  Shao-Gang2   

  1. 1.Yangtze River Scientific Research Institute, Wuhan  430010, China;2.China University of Geosciences, Wuhan  430074, China
  • Received:2011-10-25 Online:2011-12-01 Published:2011-12-05

摘要: 随着社会经济的快速发展,地下水的污染日趋严重,尤其是垃圾填埋场渗滤液对地下水的污染,一直是社会各界广泛关注的热点问题。利用地下水数值模拟软件GMS对松鼠岭区垃圾填埋场的渗滤液迁移规律进行了模拟,根据采样结果,将氯离子作为污染物主要成分来模拟其地下迁移和扩散的情况。结合研究区的区域地质概况和水文地质条件,选取了水平渗透系数、垂向渗透系数和孔隙度这3个主要的模型参数进行了敏感性分析。结果显示,当3个参数值都缩小0.5倍时,对氯离子浓度几乎没有影响。当3个参数值均放大到2倍后,水平渗透系数对氯离子浓度影响较为敏感,垂直渗透系数和孔隙度对离子浓度的影响很小。研究结果在一定程度上佐证了研究区地下水流模型和渗滤液污染物迁移模型的合理性和可靠性。

关键词: 垃圾填埋场, 数值模型, 参数敏感性

Abstract: The worsening groundwater pollution, particularly polluted by landfill leachate  has been receiving wide concerns from the society. The movement of leachate from Songshuling landfill was simulated with groundwater numerical simulation software GMS(Groundwater Modeling System). Based on leachate sampling results, chloridion was determined as the main  component of the pollutant which moves and spreads in the simulation. With the regional geology and hydro-geological conditions of the studied area, the sensitivity of chloridion to three main parameters, namely horizontal K, vertical K and porosity are analyzed. The results show that when the three parameters are all reduced by 50%, the chloridion concentration barely changed;while when the three parameters are magnified 2 times, the chloridion concentration are much more obviously affected by horizontal K than by vertical K and porosity. The results also proved that the models of groundwater flow and leachate movement are rational and reliable.

Key words: landfill, numerical modeling, parameter sensitivity

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