阿什河流域地下水脆弱性分区

发布时间：2018-03-01 18:31

本文关键词： 阿什河流域地下水源地脆弱性评价抽水井群影响范围　出处：《环境科学研究》2016年12期 　论文类型：期刊论文

【摘要】：为识别阿什河流域地下水易污区,基于DRASTIC模型,结合研究区水文地质特点和地下水源地特质,舍弃土壤类型和水力传导系数指标,新增抽水井群影响范围评价指标,得到适用于阿什河流域的DRATIE脆弱性评价体系.借助OpenGeoSys(OGS)软件,模拟研究区抽水与不抽水时的地下水流场,圈划出抽水时流场的变化区域,划分抽水井群影响范围.运用DRATIE模型对研究区进行脆弱性评价,绘制研究区地下水脆弱性分区图,并根据用水趋势进行脆弱性情景分析.结果表明:研究区地下水脆弱性主要为较低、中、较高3个级别;河漫滩和阶地区域较易受到污染,抽水井群影响范围内脆弱性为中等,1号井群每口井抽水量不宜超过3.23×10~(-2)m~3/s,2号井群每口井抽水量不宜超过4.00×10~(-2)m~3/s;其余地区较不易受到污染.研究显示,应严格控制水源地抽水量,以防阿什河水体倒灌;合理分配1、2号井群抽水量,可减小水源地脆弱性范围和等级.
[Abstract]:In order to identify the easily polluted area of groundwater in Ashi River basin, based on DRASTIC model, combined with the characteristics of hydrogeology and underground water source, the indexes of soil type and hydraulic conductivity coefficient were abandoned, and the evaluation index of the influence range of pumping well group was added. A vulnerability assessment system of DRATIE is obtained for the Ashe River basin. With the help of OpenGeoSysSysOGSsoftware, the groundwater flow field in the study area is simulated and the variation area of the flow field during pumping is delineated. The DRATIE model was used to evaluate the vulnerability of the study area, and the zoning map of groundwater vulnerability was drawn. According to the trend of water use, the vulnerability scenarios of groundwater were analyzed. The results showed that the vulnerability of groundwater in the study area was mainly low, middle and high, and the floodplain and terraces were vulnerable to pollution. The vulnerability of the pumping well group is moderate, the pumping capacity of each well in No. 1 group should not exceed 3.23 脳 10 ~ (-2) / m ~ (-1) / s, and that in well No. 2 well group should not exceed 4.00 脳 10 ~ (-2) ~ (-2) m ~ (-1) / s, and the other areas are not easily polluted. The study shows that the water source should be strictly controlled. Reasonable allocation of pumping capacity of wells 1 and 2 can reduce the vulnerability range and grade of water source.
【作者单位】：上海大学环境与化学工程学院;中国环境科学研究院环境保护部地下水污染模拟与控制重点实验室;浩蓝环保股份有限公司;亥姆霍兹环境研究中心环境信息院;
【基金】：北京市科技计划项目(D141100004514001)
【分类号】：X523

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