文章摘要
高启凤,焦剑妮,张志永,杜嘉祥.基于GMS数值模拟的地下水环境影响评价——以某产业园为例[J].矿产勘查,2023,14(7):1236-1243
基于GMS数值模拟的地下水环境影响评价——以某产业园为例
Application of numerical simulation in groundwater environmental impact assessment based on GMS : A case study of an industrial park
投稿时间:2023-05-08  修订日期:2023-06-09
DOI:10.20008/j.kckc.202307023
中文关键词: 地下水环境影响评价  数值模拟  溶质运移  GMS
英文关键词: groundwater environmental impact assessment  numerical simulation  solute transport  GMS
基金项目:本文受京津冀地下水污染防治关键技术研究与工程示范项目(2018ZX07109-002)和北京市自然科学基金项目(8181002)联合资助。
作者单位邮编
高启凤 华北地质勘查局综合普查大队河北 廊坊 065201
河北华勘地质勘查有限公司河北 廊坊 065201 
065201
焦剑妮* 华北地质勘查局综合普查大队河北 廊坊 065201
河北华勘地质勘查有限公司河北 廊坊 065201 
065201
张志永 华北地质勘查局综合普查大队河北 廊坊 065201
河北华勘地质勘查有限公司河北 廊坊 065201 
065201
杜嘉祥 华北地质勘查局综合普查大队河北 廊坊 065201
河北华勘地质勘查有限公司河北 廊坊 065201 
065201
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中文摘要:
      在地下水环境影响评价中,数值模拟的方法是定量评价地下水中污染物运移扩散规律、污染范围及浓度分布的重要手段。本文以某规划产业园为例,运用GMS三维地下水数值模拟软件建立研究区水流和溶质运移数值模型,预测污水处理池非正常状况下污水持续渗漏,污染物COD、氨氮对地下水环境的影响。结果表明:污染物持续泄漏将造成下游局部范围地下水持续污染,至模拟期20年,COD、氨氮的最大运移距离分别为106 m、93 m,超标范围分别为9069 m2、8721 m2,由于地下水径流缓慢,迁移距离及影响范围较小。预测结果可为地下水监测及保护提供科学依据,亦可为类似水文地质条件下的地下水环评工作提供参考。
英文摘要:
      For groundwater environmental impact assessment, numerical simulation is an important method to quantitatively evaluate the flow and solute transport in a groundwater system. In this paper, a planned industrial park is taken as the research object and a numerical model for water flow and solute transport is established based on GMS. It predicts the migration of COD and ammonia nitrogen in the groundwater system under abnormal conditions in the sewage treatment pool. The results show that the continuous leakage of pollutants will cause continuous pollution of groundwater in local areas. By the simulation period of 20 years, the maximum horizontal migration distance of COD is 106 m and ammonia nitrogen is 93 m; the maximum distribution area of contamination halo of COD and ammonia nitrogen in groundwater is about 9069 m2 and 8721 m2, respectively. Due to the groundwater flow is slow, migration distance and distribution area of contamination halo is small. The prediction results can provide scientific basis for groundwater monitoring, protection and reference for groundwater environmental assessment works under similar hydrogeological conditions.
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