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Impacts of updated emission inventories on source apportionment of fine particle and ozone over the southeastern U.S.

机译:更新的排放清单对美国东南部细颗粒物和臭氧源分配的影响

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摘要

As the U.S. Environmental Protection Agency updates the National Emission Inventory (NEI), the source contributions (SC) of major source sectors to major pollutants based on source apportionment techniques should be periodically reassessed to reflect changes in SCs due to changes in emissions. This work assesses emission updates from the 1999 NEI version 2 (NEI99v2) and the 2005 NEI (NEI05) and the resulting differences in SCs using the two inventories. Large differences exist in the emissions of nitrogen oxide, formaldehyde, ammonia, terpene, and primary PM_(2.5) between NEI99v2 and NEI05. Differences in emissions lead to differences in model performance and source appointment. SCs of ten major source categories to fine particulate matter (PM_(2.5)) are estimated using the Community Multiscale Air Quality modeling system with the Brute Force Method (CMAQ/BFM) andNEI05and compared with those obtained previously using CMAQ/ BFM with NEI99v2. In January, compared to CMAQ/BFM (NEI99v2), CMAQ/BFM (NEI05) shows that miscellaneous areas, biomass burning, and coal combustion remain the top three contributors to PM_(2.5) but with different ranking and higher SCs (17.7%, 16.0%, and 14.1 % for NEI05 vs. 11.8%, 13.7%, and 10.8% for NEI99v2, respectively). In July, coal combustion, miscellaneous areas, and industrial processes remain the top three with higher SCs (41.9%, 14.1%, and 8.8% for NEI05 vs30.8%, 8.9%, and 6.9% for NEI99v2, respectively). Those changes in SCs are attributed to increased primary PM2.5 (PPM) emissions in NEI05 and increases in relative contributions of miscellaneous areas and coal combustion to the emissions of PPM, NH3, and SO_2.SCS from diesel and gasoline vehicles decrease in both months, due to decreased contributions of gasoline vehicles to SO_2 and NH_3 emissions and those of diesel vehicles to NO_x and PPM emissions. Compared with CMAQ/BFM (NEI99v2), SCs from other combustion and biomass burning are higher in Florida, due to substantial increases in formaldehyde and PPM emissions in NEI05, resulting from higher wildfire emissions and state emission updates. SCs from industrial processes increase and those from diesel and gasoline vehicles decrease in urban areas. SCs of O_3 from most sources in both months increase due to a large increase in their contributions to NO, emissions, except for diesel vehicles in July, which decreases over domainwide due to a relative decrease in NO_x emissions. These results provide valuable information for policy makers to formulate and adjust emission control strategies as the NEI is continuously updated.
机译:随着美国环境保护署更新国家排放清单(NEI),应定期重新评估基于源分配技术的主要源部门对主要污染物的源贡献(SC),以反映由于排放变化而导致的SC的变化。这项工作评估了1999年NEI第2版(NEI99v2)和2005年NEI(NEI05)的排放更新以及使用这两个清单得出的SC差异。 NEI99v2和NEI05之间的氮氧化物,甲醛,氨,萜烯和初级PM_(2.5)排放存在很大差异。排放量的差异会导致模型性能和来源指定的差异。使用采用蛮力法(CMAQ / BFM)和NEI05的Community Multiscale空气质量建模系统估算了十种主要来源的细颗粒物(PM_(2.5))的SC,并将其与之前使用NMA99v2的CMAQ / BFM获得的SC进行了比较。一月份,与CMAQ / BFM(NEI99v2)相比,CMAQ / BFM(NEI05)显示,杂项区域,生物量燃烧和煤炭燃烧仍然是PM_(2.5)的前三位,但排名不同且SC较高(17.7%, NEI05分别为16.0%和14.1%,而NEI99v2分别为11.8%,13.7%和10.8%。 7月份,煤炭燃烧,杂项区域和工业流程仍然是前三名,SC较高(NEI05分别为41.9%,14.1%和8.8%,而NEI99v2分别为30.8%,8.9%和6.9%)。 SC的这些变化归因于NEI05中主要PM2.5(PPM)排放的增加以及其他地区和燃煤对PPM,NH3和SO_2排放的相对贡献的增加。柴油和汽油车辆的SCS均在两个月减少,原因是汽油车对SO_2和NH_3排放的贡献减少,而柴油车对NO_x和PPM排放的贡献减少。与CMAQ / BFM(NEI99v2)相比,佛罗里达州其他燃烧和生物质燃烧产生的SC较高,这是由于野火排放量增加和州排放更新导致NEI05中甲醛和PPM排放量大幅增加。在城市地区,来自工业过程的SC有所增加,而来自柴油和汽油车辆的SC则有所减少。在两个月中,来自大多数来源的O_3的SC都增加了,这是因为它们对NO排放的贡献大大增加了,但7月份的柴油车辆除外,这是由于NO_x排放相对减少而在全域范围内减少的。随着NEI的不断更新,这些结果为决策者制定和调整排放控制策略提供了有价值的信息。

著录项

  • 来源
    《Atmospheric environment》 |2014年第5期|133-154|共22页
  • 作者单位

    Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27606, USA,Campus Box 8208, Room 5151, Jordan Hall, 2800 Faucette Drive, Raleigh, NC 27695-8208, USA;

    Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27606, USA,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;

    Department of Air Quality and Environmental Management, Clark County, NV 89155, USA;

    Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27606, USA;

    Toyota Motor Engineering & Manufacturing, North America, INC., Ann Arbor, MI 48105, USA;

    Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;

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

    Source apportionment; CMAQ; Brute force sensitivity analysis; PM_(2.5); O_3; National Emission Inventory;

    机译:来源分配;CMAQ;蛮力敏感性分析;PM_(2.5);O_3;国家排放清单;

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