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Development and application of a novel method for regional assessment of groundwater contamination risk in the Songhua River Basin

机译:松花江流域地下水污染风险区域评价新方法的开发与应用

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摘要

The main objective of this study is to quantify the groundwater contamination risk of Songhua River Basin by applying a novel approach of integrating public datasets, web services and numerical modelling techniques. To our knowledge, this study is the first to establish groundwater risk maps for the entire Songhua River Basin, one of the largest and most contamination-endangered river basins in China Index-based groundwater risk maps were created with GIS tools at a spatial resolution of 30 arc sec by combining the results of groundwater vulnerability and hazard assessment Groundwater vulnerability was evaluated using the DRASTIC index method based on public datasets at the highest available resolution in combination with numerical groundwater modelling. As a novel approach to overcome data scarcity at large scales, a web mapping service based data query was applied to obtain an inventory for potential hazardous sites within the basin. The groundwater risk assessment demonstrated that < 1 % of Songhua River Basin is at high or very high contamination risk. These areas were mainly located in the vast plain areas with hotspots particularly in the Changchun metropolitan area. Moreover, groundwater levels and pollution point sources were found to play a significantly larger impact in assessing these areas than originally assumed by the index scheme. Moderate contamination risk was assigned to 27% of the aquifers, predominantly associated with less densely populated agricultural areas. However, the majority of aquifer area in the sparsely populated mountain ranges displayed low groundwater contamination risk. Sensitivity analysis demonstrated that this novel method is valid for regional assessments of groundwater contamination risk. Despite limitations in resolution and input data consistency, the obtained groundwater contamination risk maps will be beneficial for regional and local decision-making processes with regard to groundwater protection measures, particularly if other data availability is limited.
机译:这项研究的主要目的是通过采用一种整合公共数据集,网络服务和数值建模技术的新颖方法来量化松花江流域的地下水污染风险。据我们所知,这项研究是第一个建立整个松花江流域的地下水风险图的方法,这是中国最大,污染最严重的流域之一。使用GIS工具以空间分辨率为基础创建了基于索引的地下水风险图。通过将地下水脆弱性和危害评估的结果相结合,可在30弧秒内使用DRASTIC指数方法,基于公共数据集以最高可用分辨率结合地下水数值模拟,对地下水脆弱性进行评估。作为克服大规模数据稀缺的一种新颖方法,基于Web映射服务的数据查询被应用来获取盆地内潜在危险场所的清单。地下水风险评估表明,<1%的松花江流域具有较高或非常高的污染风险。这些地区主要位于热点地区,尤其是长春市区。此外,发现地下水位和污染点源在评估这些地区方面的影响比指标方案最初设想的要大得多。中度含水层的污染风险为27%,主要与人口密度较低的农业地区有关。但是,在人烟稀少的山脉中,大部分含水层地区的地下水污染风险较低。敏感性分析表明,该新方法可有效用于区域评估地下水污染风险。尽管分辨率和输入数据的一致性受到限制,但获得的地下水污染风险图对于地下水保护措施的区域和地方决策过程将是有益的,尤其是在其他数据可用性有限的情况下。

著录项

  • 来源
    《The Science of the Total Environment》 |2017年第15期|598-609|共12页
  • 作者单位

    Helmholtz Centre for Environmental Research, Department of Environmental Informatics, Permoserstr. 15,04318 Leipzig, Germany,Technical University Dresden, Faculty of Environmental Sciences, Helmholtzstr. 10,01069 Dresden, Germany;

    Chinese Research Academy of Environmental Sciences, Dayangfang, Beiyuan 8,100072 Beijing, China;

    Chinese Research Academy of Environmental Sciences, Dayangfang, Beiyuan 8,100072 Beijing, China;

    Helmholtz Centre for Environmental Research, Department of Environmental Informatics, Permoserstr. 15,04318 Leipzig, Germany,Technical University Dresden, Faculty of Environmental Sciences, Helmholtzstr. 10,01069 Dresden, Germany,Sino-German Research Centre on Environmental Information Science (RGBS), China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Groundwater contamination risk; Hazard; Topic-Intrinsic vulnerability; DRASTIC; Model sensitivity; Songhua River Basin;

    机译:地下水污染风险;冒险;主题固有漏洞;DRASTIC;模型灵敏度;松花江流域;

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