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• 工程地质学与能源地质学 • 上一篇    下一篇

山区公路隧道建设对地下水环境扰动评价研究

谢全敏,但山林,杨文东   

  • 出版日期:2019-06-20 发布日期:2019-06-27

Evaluation of Groundwater Environmental Disturbance by Mountain Highway Tunnel Construction

XIE Quanmin,DAN Shanlin,YANG Wendong   

  • Online:2019-06-20 Published:2019-06-27

摘要: 由于长大隧道建设期间具有显著地集水廊道效应,施工过程中地下水不断向隧道轴线汇集,进而诱发一系列的水文
地质灾害,给施工人员和隧址区周边的生态环境带来不可估量的损失。为此,在构建山区公路隧道建设对地下水环境扰动
评价体系的基础上,考虑到群决策不同个体实践认知水平的差异,把基于决策人员偏好信息的区间数层次分析模型用于山
区公路隧道建设对地下水的环境影响评价领域,并与模糊综合评判法进行有机结合,对西藏米拉山特长隧道建设对地下水
环境影响进行评价,结果表明,米拉山特长公路隧道建设对地下水的扰动程度属于一般水平。依据评价结果,采取了相
应的工程措施,实现了隧道建设与隧址区环境保护的协调统一,可为类似地区隧道建设的地下水环评工作提供有益的
参考。

关键词: 隧道建设, 地下水, 环境影响评价, 偏好信息, 区间数层次分析模型

Abstract: Due to the significant water converging corridor effect during the construction of a long tunnel, groundwater continuously
converge into the tunnel axis during construction, a series of hydro-geological disasters have been induced, which have caused
incalculable losses to construction workers and ecological environment around the tunnel area. In view of this, considering the
differences in individual cognition levels in group decision-making on the basis of system construction of mountain highway tunnel
construction on the groundwater environmental disturbance evaluation, an analytic model based on decision makers' preference
information is used in the field of environmental impact assessment of groundwater around the tunnel area, and the model is also
combined with fuzzy comprehensive evaluation method. The groundwater environment of Tibetan Mila Mountain Tunnel is evaluated
using this combined method. Results show that the disturbance degree of groundwater in the construction of Mila Mountain super-long
highway tunnel is in a general level. With the evaluation results, corresponding construction measures have been taken in the course of
the tunnel construction so that environment protection around the tunnel area can also be implemented. This provides a useful
reference for the tunnel EIA of groundwater in similar regions.

Key words: tunnel construction, groundwater, environmental impact assessment, preference information, interval number analytic model