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移动型环境风险源识别与分级方法研究

移动型环境风险源识别与分级方法研究

ISSN:0253-2468
2012年第32卷第8期
研究报告
马越[1]    彭剑峰[2]    宋永会[2]    王春荣[3]    韩璐[2] MA Yue,PENG Jianfeng,SONG Yonghui,WANG Chunrong and HAN Lu
  1. 化学与环境工程学院,中国矿业大学北京,北京100083 环境基准与风险评估国家重点实验室,中国环境科学研究院,北京100012 城市水环境研究室,中国环境科学研究院,北京100012
  2. 环境基准与风险评估国家重点实验室,中国环境科学研究院,北京100012 城市水环境研究室,中国环境科学研究院,北京100012
  3. 化学与环境工程学院,中国矿业大学北京,北京100083
MA Yue1,2,3,PENG Jianfeng2,3,SONG Yonghui2,3,WANG Chunrong1,HAN Lu2,3 1.School of Chemical & Environmental Engineering,China University of Mining & Technology(Beijing),Beijing 100083 2.State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Sciences,Beijing 100012 3.Department of Urban Water Environmental Research,Chinese Research Academy of Environmental Sciences,Beijing 100012

为了有效管理移动型环境风险源,降低其在转移运输过程中的风险水平,建立了用于识别移动型环境风险源并为其环境风险分级的方法.本方法基于我国现有环境污染事故统计分析结果,选取能够表现移动源诱发事故的起因及特征的风险评价指标因子,采用指标因子分析方法量化环境风险源风险水平.分级过程中分析了移动型环境风险源环境风险影响因子、环境风险源源强特征和风险表征方式,以风险物质数量水平-环境风险水平为基础建立风险分级矩阵,最终形成包含"环境风险源筛选"和"风险分级"两步的分级方法,旨在直观体现移动型环境风险源风险水平的同时,提高方法的可操作性和实用性.

In this study, the method was developed to identify mobile environmental risk sources and to classify the environmental risks, aiming at efficiently managing the mobile environmental risk sources and reducing the risk level in their transport process. This method was based on our current statistical analysis of environmental pollution accident, using factor analysis which can reflect the causes and the characteristics of the accidents to quantify the level of the environmental risk sources. The influence factors, characteristics of the environmental risk sources intensity and risk characterization method were analyzed in the classification. Additionally, a risk classification matrix was setup based on the amount of material to the risk and the level of environmental risk. Thus, a two-step classification method was established by combining "environmental risk sources screening" and "risk classification" so as to directly manifest the risk level of environmental risk sources, and to enhance the operability and practicability of the method.

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ISSN:0253-2468
2012年第32卷第8期
研究报告

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