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Assessment of air quality benefits from national air pollution control policies in China. Part II: Evaluation of air quality predictions and air quality benefits assessment

机译:空气质量评估受益于中国国家空气污染控制政策。第二部分:空气质量预测评估和空气质量效益评估

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Following the meteorological evaluation in Part I, this Part II paper presents the statistical evaluation of air quality predictions by the U.S. Environmental Protection Agency (U.S. EPA)'s Community Multi-Scale Air Quality (Models-3/CMAQ) model for the four simulated months in the base year 2005. The surface predictions were evaluated using the Air Pollution Index (API) data published by the China Ministry of Environmental Protection (MEP) for 31 capital cities and daily fine paniculate matter (PM_(2.5), particles with aerodiameter less than or equal to 2.5 μm) observations of an individual site in Tsinghua University (THU). To overcome the shortage in surface observations, satellite data are used to assess the column predictions including tropospheric nitrogen dioxide (NO_2) column abundance and aerosol optical depth (AOD). The result shows that CMAQ. gives reasonably good predictions for the air quality.rnThe air quality improvement that would result from the targeted sulfur dioxide (SO_2) and nitrogen oxides (NO_x) emission controls in China were assessed for the objective year 2010. The results show that the emission controls can lead to significant air quality benefits. SO_2 concentrations in highly polluted areas of East China in 2010 are estimated to be decreased by 30-60% compared to the levels in the 2010 Business-As-Usual (BAU) case. The annual PM_(2.5) can also decline by 3-15 μg m~(-3) (4-25%) due to the lower SO_2 and sulfate concentrations. If similar controls are implemented for NO_x emissions, NO_x concentrations are estimated to decrease by 30-60% as compared with the 2010 BAU scenario. The annual mean PM_(2.5) concentrations will also decline by 2-14 μg m~(-3) (3-12%). In addition, the number of ozone (O_3) non-attainment areas in the northern China is projected to be much lower, with the maximum 1-h average O_3 concentrations in the summer reduced by 8-30 ppb.
机译:在第一部分中进行了气象评估之后,第二部分将介绍美国环境保护署(US EPA)的“社区多尺度空气质量”(Models-3 / CMAQ)模型对四种模拟空气质量的统计评估。以2005年为基准月的月份。使用中国环境保护部(MEP)发布的31个省会城市的空气污染指数(API)数据和每日细颗粒物(PM_(2.5),带有空气直径的颗粒,对表面预测进行评估小于或等于2.5μm的清华大学(THU)单个站点的观测值。为了克服地面观测的不足,卫星数据用于评估色谱柱预测,包括对流层二氧化氮(NO_2)色谱柱丰度和气溶胶光学深度(AOD)。结果显示为CMAQ。对2010年的目标年度进行了评估,确定了由目标二氧化硫(SO_2)和氮氧化物(NO_x)排放目标所导致的空气质量改善。结果表明,排放控制可以带来明显的空气质量收益。与2010年常规经营(BAU)情况相比,2010年华东高污染地区的SO_2浓度估计将降低30-60%。由于较低的SO_2和硫酸盐浓度,年PM_(2.5)还可降低3-15μgm〜(-3)(4-25%)。如果对NO_x排放采取类似的控制措施,则与2010 BAU情景相比,NO_x浓度估计将降低30-60%。年平均PM_(2.5)浓度也将下降2-14μgm〜(-3)(3-12%)。此外,预计中国北方的臭氧(O_3)未达标区域数量将大大减少,夏季最大的1小时平均O_3浓度将降低8-30 ppb。

著录项

  • 来源
    《Atmospheric environment》 |2010年第28期|P.3449-3457|共9页
  • 作者单位

    Department of Environmental Engineering, Hebei University of Engineering, Handan, Hebei 056038, China Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China;

    rnU.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA;

    rnDepartment of Marine, Earth and Atmospheric Science, North Carolina State University, Raleigh, NC 27695, USA;

    rnDepartment of Marine, Earth and Atmospheric Science, North Carolina State University, Raleigh, NC 27695, USA;

    rnDecision and Information Sciences Division, Argonne National Laboratory, Argonne, IL 60439, USA;

    rnDecision and Information Sciences Division, Argonne National Laboratory, Argonne, IL 60439, USA;

    rnDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA;

    rnDepartment of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China;

    rnDepartment of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China U.S. Environmental Protection Agency, Washington, DC 20460, USA;

    rnDepartment of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China;

    rnDepartment of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China;

    rnDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA;

    rnDepartment of Civil Engineering, Lamar University, Beaumont, TX 77710, USA;

    rnDepartment of Marine, Earth and Atmospheric Science, North Carolina State University, Raleigh, NC 27695, USA;

    rnU.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA;

    rnU.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA;

    rnU.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA;

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

    air pollution in China; air quality modeling; emission control; MM5/CMAQ; 11th FYP;

    机译:中国的空气污染;空气质量建模;排放控制;MM5 / CMAQ;十一五;
  • 入库时间 2022-08-17 13:53:48

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