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Quantifying the sources of ozone, fine particulate matter, and regional haze in the Southeastern United States

机译:量化美国东南部的臭氧,细颗粒物和区域雾霾的来源

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摘要

A detailed sensitivity analysis was conducted to quantify the contributions of various emission sources to ozone (O_3), fine particulate matter (PM_(2.5)), and regional haze in the Southeastern United States. O_3 and particulate matter (PM) levels were estimated using the Community Multiscale Air Quality (CMAQJ modeling system and light extinction values were calculated from modeled PM concentrations. First, the base case was established using the emission projections for the year 2009. Then, in each model run, SO_2, primary carbon (PC), NH_3, NO_x or VOC emissions from a particular source category in a certain geographic area were reduced by 30% and the responses were determined by calculating the difference between the results of the reduced emission case and the base case.rnThe sensitivity of summertime O_3 to VOC emissions is small in the Southeast and ground-level NO_x controls are generally more beneficial than elevated NO_x controls (per unit mass of emissions reduced). SO_2 emission reduction is the most beneficial control strategy in reducing summertime PM2.5 levels and improving visibility in the Southeast and electric generating utilities are the single largest source of SO_2. Controlling PC emissions can be very effective locally, especially in winter. Reducing NH3 emissions is an effective strategy to reduce wintertime ammonium nitrate (NO_3NH_4) levels and improve visibility; NO_x emissions reductions are not as effective. The results presented here will help the development of specific emission control strategies for future attainment of the National Ambient Air Quality Standards in the region.
机译:进行了详细的敏感性分析,以量化各种排放源对美国东南部的臭氧(O_3),细颗粒物(PM_(2.5))和区域霾的贡献。使用社区多尺度空气质量(CMAQJ)模型系统估算O_3和颗粒物(PM)的水平,并通过模型化的PM浓度计算出光的消光值,首先,使用2009年的排放量预测建立基础案例。在每个模型运行中,特定地理区域中特定来源类别的SO_2,一次碳(PC),NH_3,NO_x或​​VOC排放量减少了30%,并通过计算减少排放量结果之间的差异来确定响应在东南部,夏季O_3对VOC排放的敏感性较小,地面NO_x控制通常比升高的NO_x控制(每单位排放量减少)更有利,SO_2减排是最有利的控制策略降低夏季PM2.5的水平并提高东南部的能见度,而电力公司是SO_2的最大来源。在本地控制PC排放可能非常有效,尤其是在冬季。减少NH3排放是降低冬季硝酸铵(NO_3NH_4)水平并提高能见度的有效策略;减少NO_x排放并不那么有效。此处介绍的结果将有助于制定具体的排放控制策略,以实现该地区的国家环境空气质量标准。

著录项

  • 来源
    《Journal of Environmental Management》 |2009年第3期|3155-3168|共14页
  • 作者单位

    School of Civil and Environmental Engineering, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA 30332-0512, USA;

    School of Civil and Environmental Engineering, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA 30332-0512, USA;

    School of Civil and Environmental Engineering, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA 30332-0512, USA;

    Department of Environmental Engineering, Istanbul Technical University, Maslak, 34469, Istanbul, Turkey;

    Georgia Department of Natural Resources, Environmental Protection Division, 4244 International Parkway, Suite 120, Atlanta, GA 30354, USA;

    Visibility Improvement State and Tribal Association of the Southeast, 2090 US 70 Highway, Swannanoa, NC 28778, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    sensitivity analysis; emission control strategies; air quality modeling;

    机译:敏感性分析;排放控制策略;空气质量模拟;
  • 入库时间 2022-08-17 13:36:18

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