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首页> 外文期刊>Journal of the air & waste management association >An extended approach to calculate the ozone relative response factors used in the attainment demonstration for the National Ambient Air Quality Standards
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An extended approach to calculate the ozone relative response factors used in the attainment demonstration for the National Ambient Air Quality Standards

机译:一种扩展的方法,可用于计算《国家环境空气质量标准》中达到的标准所使用的臭氧相对响应因子

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摘要

With the promulgation of the National Ambient Air Quality Standards (NAAQS or standard) for 8-hr ozone (O_3), the U.S. Environmental Protection Agency (EPA) issued modeling guidance that advocated the use of results from photochemical air quality models in a relative sense. In doing so, the EPA provided guidance on how to calculate relative response factors (RRFs) that can project current design value (DV) mixing ratios into the future for the purpose of determining the attainment status with respect to the O_3 standard. The RRFs recommended by the EPA represent the average response of the photochemical model over a broad range of O_3 mixing ratios above a specified cutoff threshold. However, it is known that O_3 response to emission reductions of limiting precursors (i. e., NO_x and/or VOC) is greater on days with higher O_3 mixing ratios compared to days with lower mixing ratios. In this study, we present a segmented RRF concept termed band-RRF, which takes into account the different model responses at different O_3 mixing ratios. The new band-RRF concept is demonstrated in the San Joaquin Valley (SJV) region of California for the 1-hr and 8-hr O_3 standards. The 1-hr O_3 analysis is relevant to work done in support of the SJV O_3 State Implementation Plan (SIP) submitted to the EPA in 2013. The 8-hr example for the future year of 2019 is presented for illustrative purposes only. Further work will be conducted with attainment deadline of 2032 as part of upcoming SIPs for the 0.075 parts per million (ppm) 8-hr O_3 standard. The applicability of the band-RRF concept to the particulate matter (PM_(2.5)) standards is also discussed. Implications: Results of photochemical models are used in regulatory applications in a relative sense using relative response factors (RRFs), which represent the impacts of emissions reductions over a wide range of ozone (O_3) values. It is possible to extend the concept of RRFs to account for the fact that higher O_3 mixing ratios (both 1-hr and 8-hr) respond more to emissions controls of limiting precursors than do lower O_3 mixing ratios. We demonstrate this extended concept, termed band-RRF, for the 1-hr and 8-hr O_3 National Ambient Air Quality Standard (NAAQS or standard) in the San Joaquin Valley of California. This extension can also be made applicable to the 24-hr PM_(2.5) and annual PM_(2.5) standards.
机译:随着针对8小时臭氧(O_3)的国家环境空气质量标准(NAAQS或标准)的颁布,美国环境保护署(EPA)发布了建模指南,提倡在相对意义上使用光化学空气质量模型的结果。为此,EPA提供了有关如何计算相对响应因子(RRF)的指南,这些相对响应因子可以将当前的设计值(DV)混合比推算到未来,以便确定相对于O_3标准的达标状态。 EPA推荐的RRF代表光化学模型在超过特定临界值的O_3混合比范围内的平均响应。但是,众所周知,与具有较低混合比的天数相比,具有较高O_3混合比的天数对限制前体(即NO_x和/或VOC)的排放减少的O_3响应更大。在这项研究中,我们提出了一个分段的RRF概念,称为band-RRF,它考虑了在不同O_3混合比下的不同模型响应。新的RRF频段概念在加利福尼亚州的圣华金谷(SJV)地区得到了1小时和8小时O_3标准的演示。 1小时O_3分析与为支持2013年提交给EPA的SJV O_3国家实施计划(SIP)而完成的工作有关。给出的2019年未来8小时示例仅用于说明目的。作为即将到来的SIP的一部分,将针对0.075百万分之(ppm)8小时O_3标准进行进一步的工作,截止日期为2032年。还讨论了带RRF概念对颗粒物(PM_(2.5))标准的适用性。含义:光化学模型的结果在相对意义上使用相对响应因子(RRF)在监管应用中使用,该响应因子表示在广泛的臭氧(O_3)值范围内减排的影响。可以扩展RRF的概念,以解决以下事实:较高的O_3混合比(1小时和8小时)比较低的O_3混合比对限制前体的排放控制有更大的响应。我们演示了加利福尼亚州圣华金河谷1小时和8小时O_3国家环境空气质量标准(NAAQS或标准)的扩展概念,称为band-RRF。此扩展也可以适用于24小时PM_(2.5)和年度PM_(2.5)标准。

著录项

  • 来源
    《Journal of the air & waste management association》 |2014年第10期|1204-1213|共10页
  • 作者单位

    Air Quality Planning and Science Division, Air Resources Board, California Environmental Protection Agency, 10011 Street, Sacramento, CA 95814, USA;

    Air Quality Planning and Science Division, Air Resources Board, California Environmental Protection Agency, Sacramento, CA, USA,Air Quality Research Center, University of California, Davis, CA, USA;

    Air Quality Planning and Science Division, Air Resources Board, California Environmental Protection Agency, Sacramento, CA, USA,Department of Civil and Environmental Engineering, Washington State University, Pullman, WA, USA;

    Air Quality Planning and Science Division, Air Resources Board, California Environmental Protection Agency, Sacramento, CA, USA;

    Air Quality Planning and Science Division, Air Resources Board, California Environmental Protection Agency, Sacramento, CA, USA;

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