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Intake Fraction Variability Between Air Pollution Emission Sources Inside an Urban Area

机译:市区内空气污染排放源之间的进气分数变异性

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摘要

The cost-effective mitigation of adverse health effects caused by air pollution requires information on the contribution of different emission sources to exposure. In urban areas the exposure potential of different sources may vary significantly depending on emission height, population density, and other factors. In this study, we quantified this intraurban variability by predicting intake fraction (iF) for 3,066 emission sources in Warsaw, Poland. iF describes the fraction of the pollutant that is inhaled by people in the study area. We considered the following seven pollutants: particulate matter (PM), nitrogen oxides (NO_x), sulfur dioxide (SO_2), benzo[a] pyrene (BaP), nickel (Ni), cadmium (Cd), and lead (Pb). Emissions for these pollutants were grouped into four emission source categories (Mobile, Area, High Point, and Other Point sources). The dispersion of the pollutants was predicted with the CALPUFF dispersion model using the year 2005 emission rate data and meteorological records. The resulting annual average concentrations were combined with population data to predict the contribution of each individual source to population exposure. The iFs for different pollutant-source category combinations varied between 51 per million (PM from Mobile sources) and 0.013 per million (sulfate PM from High Point sources). The intraurban iF variability for Mobile sources primary PM emission was from 4 per million to 100 per million with the emission-weighted iF of 44 per million. These results propose that exposure due to intraurban air pollution emissions could be decreased more effectively by specifically targeting sources with high exposure potency rather than all sources.
机译:以成本效益的方式减轻空气污染对健康的不利影响,需要有关不同排放源对暴露的贡献的信息。在城市地区,根据排放高度,人口密度和其他因素,不同来源的暴露潜力可能会有很大差异。在这项研究中,我们通过预测波兰华沙3,066个排放源的摄入分数(iF)来量化这种城市内部的可变性。 iF描述了研究区域中人们吸入的污染物中的一部分。我们考虑了以下七种污染物:颗粒物(PM),氮氧化物(NO_x),二氧化硫(SO_2),苯并[a]((BaP),镍(Ni),镉(Cd)和铅(Pb)。这些污染物的排放分为四个排放源类别(移动,区域,高点和其他点源)。使用CALPUFF扩散模型,使用2005年的排放率数据和气象记录来预测污染物的扩散。将由此产生的年平均浓度与人口数据相结合,以预测每个单独来源对人口暴露的贡献。不同污染物源类别组合的iF在每百万51(移动来源的PM)和每百万0.013(高点来源的硫酸盐PM)之间变化。移动源的城市内部iF变异性是主要PM排放量从百万分之4到百万分之100,而排放加权的iF为百万分之44。这些结果表明,通过专门针对具有高暴露效力的来源而不是所有来源,可以更有效地减少由于城市内部空气污染排放而引起的暴露。

著录项

  • 来源
    《Risk analysis》 |2014年第11期|2021-2034|共14页
  • 作者单位

    Systems Research Institute (SRI), Ul. Newelska 6, 01-447 Warszawa, Poland,National Institute for Health and Welfare (THL), P.O. Box 95, FI-70701 Kuopio, Finland;

    Systems Research Institute, Polish Academy of Sciences, Newel-ska 6, 01-447 Warsaw, Poland,Warsaw School of Information Technology (WIT), Newelska 6, 01-447 Warsaw, Poland;

    The University of Arizona, P.O. Box 245163, Tucson, AZ 85724, USA,Institute of Occupational Medicine (IOM), Research Avenue North, Riccarton, Edinburgh EH14 4AP, UK;

    Systems Research Institute, Polish Academy of Sciences, Newel-ska 6, 01-447 Warsaw, Poland,Warsaw School of Information Technology (WIT), Newelska 6, 01-447 Warsaw, Poland;

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

    Air pollution; atmospheric dispersion model; exposure; health impact assessment; intake fraction;

    机译:空气污染;大气扩散模型接触;健康影响评估;摄入分数;

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