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A Support Tool for Air Pollution Health Risk Management in Emerging Countries: A Case in Brazil

机译:新兴国家空气污染健康风险管理的支持工具:以巴西为例

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摘要

This study evaluated the health risk due to air pollution in Sao Paulo State, Brazil, comparing Brazil's standards and the World Health Organization (WHO) air quality guidelines. New methodology was applied considering, as hazard parameters, the maximum average concentrations of SO_2, NO_2,O_3, CO, and PM_(10) from 2007 to 2011. As exposure parameters, population density and location sensitivity were considered. A health risk index based on fuzzy logic was performed to integrate the selected parameters, giving the likelihood of reaching different risk levels. Data gathering and spatial representation of parameters and risk scores were performed by means of geographic information system (GIS). Highest values of risk were observed in the Metropolitan Area of Sao Paulo and near the cities of Cubatao and Piracicaba,associated to vehicular and industrial emissions and sugar cane burning. Discussions about the need to revise national air quality standards have intensified over the past years. Generally, indices used for air quality do not consider the population exposed. This study showed the integration of GIS with fuzzy logic methodology to be a useful tool for health risk assessment. When evaluating the risk, exposure parameters must be intrinsically considered to enhance the importance of population vulnerability when assessing environmental problems, especially in emerging economies.
机译:这项研究比较了巴西的标准和世界卫生组织(WHO)的空气质量指南,评估了巴西圣保罗州因空气污染引起的健康风险。考虑到2007年至2011年间SO_2,NO_2,O_3,CO和PM_(10)的最大平均浓度作为危害参数,应用了新的方法。作为暴露参数,考虑了人口密度和位置敏感性。进行了基于模糊逻辑的健康风险指数以整合所选参数,从而给出了达到不同风险水平的可能性。通过地理信息系统(GIS)进行参数和风险评分的数据收集和空间表示。在圣保罗的大都市地区以及在靠近古巴陶和皮拉西卡巴的城市中,发现的风险最高,这与车辆和工业排放以及甘蔗燃烧有关。在过去的几年中,关于修订国家空气质量标准的必要性的讨论愈演愈烈。通常,用于空气质量的指数不考虑暴露人口。这项研究表明,GIS与模糊逻辑方法的集成是健康风险评估的有用工具。在评估风险时,必须固有地考虑暴露参数,以提高评估环境问题时人口脆弱性的重要性,尤其是在新兴经济体中。

著录项

  • 来源
    《Human and ecological risk assessment》 |2014年第6期|1406-1424|共19页
  • 作者单位

    Department of Environmental Engineering, Institute of Technology and Exact Sciences, Federal University ot Triangulo Mineiro,Uberaba, Minas Gerais, Brazil;

    Department of Civil Engineering, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil,Environmental Analysis and Management Group, Departament d'Enginyeria Quimica, Universitat Rovira i Virgili, Tarragona, Catalonia, Spain;

    Environmental Analysis and Management Group, Departament d'Enginyeria Quimica, Universitat Rovira i Virgili, Tarragona, Catalonia, Spain,Laboratory of Toxicology and Environmental Health, IISPV, Universitat Rovira i Virgili, Reus, Catalonia, Spain;

    Laboratory of Toxicology and Environmental Health, IISPV, Universitat Rovira i Virgili, Reus, Catalonia, Spain;

    Laboratory of Toxicology and Environmental Health, IISPV, Universitat Rovira i Virgili, Reus, Catalonia, Spain;

    Department of Biology, Ribeirao Preto School of Philosophy, Sciences and Literature, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil;

    Laboratory of Ecotoxicology and Environmental Parasitology, College of Nursing at Ribeirao Preto, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil;

    Laboratory of Environmental Health, College of Nursing at Ribeirao Preto, University of Sao Paulo, Ribeirao Preto, Sao Paulo, Brazil;

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

    air pollution and health; air quality standards; fuzzy logic; health risk map; Sao Paulo; Brazil;

    机译:空气污染与健康;空气质量标准;模糊逻辑;健康风险图;圣保罗;巴西;

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