基于风险矩阵和排序赋值法的公共场所环境健康风险评估

    Environmental health risk assessment of public places based on risk matrix and ranking assignment method

    • 摘要:
      目的 识别需要关注的公共场所及健康风险因素, 梳理重点公共场所风险管理的重要性和优先级, 确定不同公共场所差异化的风险管理制度需求。
      方法 基于风险矩阵和排序赋值法开展公共场所环境健康风险评估, 结合文献调研结果和公共场所健康危害因素监测项目已有实测调查数据, 依据定性、定量及半定量结果搭建依据矩阵法的风险评估模型。
      结果 根据文献调研的结果采纳20多种风险指标, 实测数据指标的达标率等排序, 赋值计算风险值带入模型确定风险等级, 游泳场所和沐浴场所具有严重风险, 游泳场所浸脚池余氯、氧化还原电位、泳池水游离性余氯、噪声是高风险指标, 沐浴场所浴池水游离性余氯和拖鞋菌落总数是高风险指标。宾馆(酒店)具有较高风险, 冷却水嗜肺军团菌和PM2.5是高风险指标。候车室具有中等风险, PM10、PM2.5是高风险指标。商场或超市、理发场所和美容场所具有低风险, 三类场所的噪声均是高风险指标。
      结论 本研究通过整合风险矩阵和排序赋值等方法, 构建了适用于公共场所的多维度风险评估框架, 排序赋值法对各风险因素进行量化评分, 确定需要开展公共场所健康风险管理的优先性排序, 为提出公共场所风险评估管理制度建设策略建议提供技术支持。

       

      Abstract:
      Objective To identify public places and health risk factors that need attention, clarify the importance and priority of risk management in key public places, and determine the differentiated risk management system needs of different public places.
      Methods Environmental health risk assessment in public places was carried out based on risk matrix and ranking assignment method. Based on the results of the literature review and existing field survey data from public place health hazard monitoring programs, a risk assessment model grounded in the matrix method was constructed based on qualitative, quantitative, and semi-quantitative results.
      Results Based on the literature review, over 20 risk indicators were included. Indicators such as qualified rate from field measurement data were ranked and assigned values to calculate risk scores, which were then entered into the model to determine risk levels. Swimming facilities and bathhouses presented extremely high risks. The residual chlorine in the footbath of swimming facilities, the oxidation-reduction potential, the free residual chlorine in the swimming pool water, and noise were identified as high-risk indicators. For bathhouses, the free residual chlorine in the bath water and the total number of colonies on slippers were high-risk indicators. Hotels presented high risks, with Legionella pneumophila in cooling water, and PM2.5 as high-risk indicators. Waiting rooms presented moderate risks, with PM10 and PM2.5 as high-risk indicators. Shopping malls or supermarkets, barbershops, and beauty salons presented low risks, with noise identified as a high-risk indicator in these places.
      Conclusion By integrating risk matrix and ranking assignment method, a multi-dimensional risk assessment framework applicable to public places was constructed. The ranking assignment method was used to quantitatively score each risk factor and determine the priority of health risk management in public places, which provides technical support for putting forward strategies and recommendations for the construction of risk assessment management system in public places.

       

    /

    返回文章
    返回