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Environmental Risk Assessment System for Typical Staple Industrial Solid Wastes

机译:典型主食工业固体废物环境风险评估系统

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摘要

The rapid industrialisation in China has consumed large amounts of various industrial raw materials, which has left behind large quantities of industrial solid wastes produced from the processes of mining, mineral processing and smelting. The storage of huge quantities of industrial solid wastes is an obvious risk to the environment and human well-being. As the first step to fully appreciate the scale of this risk, it is necessary to carry out research for developing a pollution source environmental risk assessment system (PSERAS), especially for the typical staple industrial solid waste (TSISW). This paper aims to discuss the frame of the PSERAS for TSISW for large scale production. This system consists of two aspects: predicted factors and accidental ones, which involve physical, chemical and biological risk assessments, on-site and during transportation process. Two analysis methods, the analytic hierarchy process (AHP) and fuzzy logic assessment (FLA) were used to handle the complexity of environment and non-quantitative data. The risk assessment system for such a complex objective is difficult and the assessment of relative factors is problematic through the usual quantitative analysis. With the proposed PSERAS, it is possible to define the risk class of pollution sources. Furthermore, the risk assessment results will be helpful to the decision-maker, especially when facing unknown risks in the environmental management of industrial solid wastes. In addition, by means of the PSERAS, risk factors can be ranked against their contributions to environmental risk, in order to calculate their relative priorities in decision-making.
机译:中国快速的工业化进程消耗了大量的各种工业原料,从而留下了采矿,选矿和冶炼过程中产生的大量工业固体废物。大量工业固体废物的存储对环境和人类健康构成明显威胁。作为全面了解这种风险规模的第一步,有必要进行研究以开发污染源环境风险评估系统(PSERAS),尤其是对于典型的主要工业固体废物(TSISW)。本文旨在讨论用于大规模生产的TSISW的PSERAS框架。该系统包括两个方面:预测因素和意外因素,涉及现场,运输过程中的物理,化学和生物风险评估。两种分析方法,层次分析法(AHP)和模糊逻辑评估(FLA)用于处理环境和非定量数据的复杂性。对于这样一个复杂目标的风险评估系统很困难,并且通过常规的定量分析难以评估相关因素。利用提出的PSERAS,可以定义污染源的风险类别。此外,风险评估结果将对决策者有所帮助,尤其是在面对工业固体废物环境管理中的未知风险时。此外,借助PSERAS,可以根据风险因素对环境风险的影响来对风险因素进行排名,以计算其在决策中的相对优先级。

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  • 来源
  • 会议地点 Brisbane(AU)
  • 作者

    X Sun; P Ning; X Tang; H Yi; L B Zhou;

  • 作者单位

    College of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, China;

    College of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, China;

    College of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, China;

    College of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, China;

    Beijing General Research Institute of Mining and Metallurgy, Beijing, China;

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  • 正文语种 eng
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