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Water-environmental risk assessment of the Beijing-Tianjin-Hebei collaborative development region in China

机译:中国京津冀合作开发区水环境风险评估

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摘要

With the rapid development of social and economic conditions in the Beijing-Tianjin-Hebei (BTH) collaborative development region in China, the water-environmental problems gradually evolve into a regional problem. As an important tool of predicting and preventing these problems, water-environmental risk assessment (WERA) plays an increasingly important role in environment management. This study mainly targets the surface water environment and takes the BTH region as a study area in developing a water-environmental risk assessment index system based on the Driving force-Pressures-States-Impacts-Responses model. The weighting, risk, and zoning of each index are determined using multiple methods such as the Analytic Hierarchy Process, fuzzy comprehensive evaluation, and geographic information system technology. Further discussions are made to analyze the leading factors of high-risk units, the relationship between the risk level and social economy, and the uncertainty of WERA. Generally speaking, results show that the relative high-risk areas mainly distribute in Beijing, Tianjin, Shijiazhuang, and Tangshan, and the relative low-risk areas mainly distribute in Chengde and Zhangjiakou. The remaining parts of the region are at the middle-risk level. The results also show a positive correlation between the risk level and the social economy. This study gathered lots of data and carried out a number of calculation work, and is expected to improve the WERA methods and help managers set the priorities for local water-environmental management and make more effective decisions in the context of BTH collaborative development.
机译:随着中国京津冀协同发展地区社会经济条件的迅速发展,水环境问题逐渐演变为区域性问题。作为预测和预防这些问题的重要工具,水环境风险评估(WERA)在环境管理中扮演着越来越重要的角色。本研究主要针对地表水环境,以BTH地区为研究对象,以驱动力-压力-状态-影响-响应模型为基础,开发水环境风险评价指标体系。使用多种方法(例如层次分析法,模糊综合评估和地理信息系统技术)确定每个索引的权重,风险和分区。进一步讨论分析高风险部门的主导因素,风险水平与社会经济之间的关系以及WERA的不确定性。总体而言,结果表明,相对高风险地区主要分布在北京,天津,石家庄和唐山,相对低风险地区主要分布在承德和张家口。该地区的其余部分处于中等风险水平。结果还表明,风险水平与社会经济之间存在正相关。这项研究收集了大量数据并进行了许多计算工作,有望改善WERA方法并帮助管理人员确定当地水环境管理的优先事项,并在BTH协同发展的背景下做出更有效的决策。

著录项

  • 来源
    《Human and ecological risk assessment》 |2017年第2期|141-171|共31页
  • 作者单位

    Beijing Normal Univ, Coll Water Sci, Minist Educ China, Engn Res Ctr Groundwater Pollut Control & Remedia, Beijing 100875, Peoples R China;

    Beijing Normal Univ, Coll Water Sci, Minist Educ China, Engn Res Ctr Groundwater Pollut Control & Remedia, Beijing 100875, Peoples R China;

    Beijing Normal Univ, Coll Water Sci, Minist Educ China, Engn Res Ctr Groundwater Pollut Control & Remedia, Beijing 100875, Peoples R China;

    Beijing Normal Univ, Coll Water Sci, Minist Educ China, Engn Res Ctr Groundwater Pollut Control & Remedia, Beijing 100875, Peoples R China;

    Beijing Normal Univ, Coll Water Sci, Minist Educ China, Engn Res Ctr Groundwater Pollut Control & Remedia, Beijing 100875, Peoples R China;

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

    water-environmental risk assessment; DPSIR model; index system; the Beijing-Tianjin-Hebei region;

    机译:水环境风险评估DPSIR模型指标体系京津冀地区;
  • 入库时间 2022-08-18 03:44:30

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