中国氨排放对PM<sub>2.5</sub>污染的影响

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Abstract

For PM_2.5 pollution investigation in China, the air quality modelling system WRF-CMAQ was applied to calculate the impacts of ammonia emission on PM_2.5 concentration. The results indicated that ammonia emission had the biggest contribution for secondary nitrogen particles, with annual average 99.8% for nitrate, 99.7% for ammonium, while only 4.2%, 29.8% for sulfate and PM_2.5 respectively. Quantification of ammonia emission impacts on PM_2.5 mass concentration were also conducted in January, April, July and October as representative months, counted 20.15μg/m³, 12.39μg/m³, 13.20μg/m³ and 14.20μg/m³, respectively, with January ranking the first in monthly average contribution. It's general that ammonia emission had dramatical influence on PM_2.5 in regions where agriculture and animal husbandry well developed, such as Henan, Shandong, Hubei and Hebei province, with annual average contribution all exceeded 20μg/m³. In view of this, ammonia emission control will lead to significantly decrease of nitrate and ammonium, therefore reduce the PM_2.5 pollution level.

Key words： ammonia emission WRF CMAQ emission inventory PM_2.5

Received: 12 April 2016

PACS:

X513

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	Articles by authors
	XUE Wen-bo
	XU Yan-ling
	TANG Xiao-long
	LEI Yu
	WANG Jin-nan

Cite this article:

XUE Wen-bo,XU Yan-ling,TANG Xiao-long等. Impacts of ammonia emission on PM_2.5 pollution in China[J]. CHINA ENVIRONMENTAL SCIENCECE, 2016, 36(12): 3531-3539.

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http://manu36.magtech.com.cn/Jweb_zghjkx/EN/ OR http://manu36.magtech.com.cn/Jweb_zghjkx/EN/Y2016/V36/I12/3531

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[1]	薛文博,付飞,王金南,等.中国PM2.5跨区域传输特征数值模拟研究[J].中国环境科学,2014,34(6):1361-1368.
[2]	王凌慧,曾凡刚,向伟玲,等.空气重污染应急措施对北京市PM2.5的削减效果评估[J].中国环境科学,2015,35(8):2546-2553.
[3]	刘俊,安兴琴,朱彤,等.京津冀及周边减排对北京市PM2.5浓度下降评估研究[J].中国环境科学,2014,34(11):2726-2733.
[4]	沈兴玲,尹沙沙,郑君瑜,等.广东省人为源氨排放清单及减排潜力研究[J].环境科学学报,2014,34(1):43-53.
[5]	Huang X,Song Y,Li M M,et al.A high-resolution ammonia emission inventory in China[J].Global Biogeochemical Cycles, 2012,12:1-14.
[6]	董文煊,邢佳,王书肖,等.1994~2006年中国人为源大气氨排放时空分布[J].环境科学,2010,31(7):1457-1463.
[7]	Multi-resolution emission inventory for China.[Z/OL].http://www.meicmodel.org/.
[8]	李新艳,李恒鹏.中国大气NH3和NOx排放的时空分布特征[J]. 中国大气NH3和NOx排放的时空分布特征[J].中国环境科学, 2012,32(1):37-42.
[9]	王跃思,姚利,王莉莉,等.2013年元月我国中东部地区强霾污染成因分析[J].中国科学:地球科学,2014,44(1):15-26.
[10]	徐虹,张晓勇,毕晓辉,等.中国PM2.5中水溶性硫酸盐和硝酸盐的时空变化特征[J].南开大学学报(自然科学版),2013,46(6):32-40.
[11]	余学春,贺克斌,马永亮,等.北京市PM2.5水溶性有机物污染特征[J].中国环境科学,2004,24(1):53-57.
[12]	尹沙沙.珠江三角洲人为源氨排放清单及其对颗粒物形成贡献的研究[D].广州:华南理工大学,2011.
[13]	刘晓环.我国典型地区大气污染特征的数值模拟[D].济南:山东大学,2010.
[14]	彭应登,杨明珍,申立贤,等.北京氨源排放及其对二次粒子生成的影响[J].环境科学,2000.21(6):101-103.
[15]	Community Modeling&Analysis System Center,University of North Carolina.Community modeling and analysis system homepage[EB/OL].Chapel Hill:Community Modeling and Analysis System Center,2011[2011-11-21].http://www.cmascenter.org.
[16]	Community Modeling&Analysis System Center,University of North Carolina.CMAQ v4.6operational guidance document[EB/OL].Chapel Hill:Community Modeling and Analysis System Center,2006[2010-06-15].http://www.cmascenter.org/help/documentation.cfm.
[17]	National Center for Atmospheric Research.CISL Research Data Archive[EB/OL].http://rda.ucar.edu/datasets/ds083.2/.
[18]	National Center for Atmospheric Research.CISL Research Data Archive[EB/OL].http://rda.ucar.edu/datasets/ds461.0/.
[19]	Zheng B,Zhang Q,Zhang Y,et al.Heterogeneous chemistry:a mechanism missing in current models to explain secondary inorganic aerosol formation during the January 2013 haze episode in North China[J].Atmospheric Chemistry and Physics,2015, 15,2031-2049.
[20]	Guenther A,Karl T,Harley P,et al.Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature)[J].Atmospheric Chemistry and Physics,2006,6(11):3181-3210.
[21]	中华人民共和国环境保护部数据中心.全国城市空气质量小时报.[Z/OL].
[22]	北京市环境保护局.北京市正式发布PM2.5来源解析研究成果.[Z/OL].http://www.bjepb.gov.cn/bjepb/323265/340674/396253/index.html,2014.
[23]	石家庄市环境保护局.石家庄市环境空气颗粒物来源解析研究报告[R].石家庄:石家庄市环境保护局,2014.
[24]	武汉市环境保护局.武汉市大气颗粒物源解析研究报告[R]. 武汉市:武汉市环境保护局,2015.
[25]	钟茂初.如何表征区域生态承载力与生态环境质量?兼论以胡焕庸线生态承载力涵义重新划分东中西部[J].中国地质大学学报(社会科学版),2016,16(1):1-8.
[26]	戚伟,刘盛和,赵美风."胡焕庸线"的稳定性及其两侧人口集疏模式差异[J].地理学报,2015,70(4):551-566.
[27]	Donkelaar A,Martin R,Levy R C,et al.Satellite-based estimates of ground-level fine particulate matter during extreme events:A case study of the Moscow fires in 2010[J].Atmospheric Environment,2011,45(34):6225-6232.