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The impact of power plant emission on air pollution during winter over Yangtze River Delta |
SHA Tong, MA Xiao-yan, WANG Jian-ying, JIA Hai-ling, HU Ya-nan, TIAN Rong, GUAN Qi-kun, LI Ruo-lin |
Key Laboratory of Meteorological Disaster, Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, China |
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Abstract The characteristics of emissions from power plant over Yangtze River Delta were analyzed, and major air pollutants in winter and their impact on air quality were then discussed based on WRF-Chem simulation. The results showed that the annual emissions of major air pollutants from power plant over Yangtze River delta were 826.8Gg, 1475.6Gg and 137.3Gg in 2010 for SO2, NOx and PM2.5, respectively, accounting for 34%, 38% and 14% of total anthropogenic emissions. The high concentrations of major air pollutants (SO2, NO2, PM2.5) were distributed in the city cluster of Nanjing-Shanghai and Hangzhou-Ningbo. The spatial distribution of power plant contribution from SO2 was consistent with the emissions of SO2, however, the high contributions of NO2 and PM2.5, were mainly distributed on the border of Anhui-Zhejiang-Jiangxi and eastern coast of Zhejiang province. Compared with SO2 and NO2, the contributions to PM2.5 from power plant were relatively low, i.e. normally below 20μg/m3 in most regions (15%). The contributions of power plant emissions to the simulated PM2.5 and SO2 during polluted period (6.9%, 34.2%) were higher than clean period (4.9%, 20.7%), while, there were no significant differences for NO2 between polluted and clean period, with the magnitudes as 10μg/m3. The conditions of low temperature, weak wind speed, and low boundary layer height in winter were not favorable to pollutant diffusion, leading to heavy pollution events.
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Received: 13 January 2018
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[1] |
鲁兴.燃煤电厂排放颗粒物对大气污染的监测与危害研究[D]. 郑州:郑州大学, 2005.
|
[2] |
包贞,冯银厂,焦荔,等.杭州市大气PM2.5和PM10污染特征及来源解析[J]. 中国环境监测, 2010,26(2):44-48.
|
[3] |
Wang H L, Zhuang Y H, Wang Y, et al. Long-term monitoring and source apportionment of PM2.5/PM10 in Beijing, China[J]. Journal of environmental sciences (China), 2008,20(11):1323-1327.
|
[4] |
Wang X H, Bi X H, Sheng G Y, et al. Chemical Composition and Sources of PM10 and PM2.5 Aerosols in Guangzhou, China[J]. Environmental monitoring and assessment, 2006,119(1-3):425-439.
|
[5] |
Yue W S, Li X L, Liu J F, et al. Characterization of PM2.5 in the ambient air of Shanghai city by analyzing individual particles[J]. Science of the Total Environment, 2006,368:916-925.
|
[6] |
段菁春,李兴华,谭吉华,等.北京冬季大气颗粒物数浓度的粒径分布特征及来源[J]. 环境科学研究, 2009,22(10):1134-1140.
|
[7] |
李令军,李金香,辛连忠,等.北京市春节期间大气污染分析[J]. 中国环境科学, 2006,26(5):537-541.
|
[8] |
伯鑫,王刚,温柔,等.京津冀地区火电企业的大气污染影响[J]. 中国环境科学, 2015,35(2):364-373.
|
[9] |
薛文博,许艳玲,王金南,等.全国火电行业大气污染物排放对空气质量的影响[J]. 中国环境科学, 2016,36(5):1281-1288.
|
[10] |
胡亚男,马晓燕,沙桐,等.不同排放源对华东地区PM2.5影响的数值模拟[J]. 中国环境科学, 2018,38(5):1616-1628.
|
[11] |
马雁军,刘宁微,王扬锋.辽宁冬季城市空气质量分布状况综合研究[J]. 气象与环境学报, 2007,23(3):15-18.
|
[12] |
马雁军,王江山,王扬锋,等.辽宁中部城市群可吸入颗粒物PM10和PM2.5的污染特征研究[J]. 气象与环境学报, 2008,24(5):11-15.
|
[13] |
王扬锋,左洪超,马雁军,等.应用Models-3模式系统对沈阳市空气质量的数值模拟研究[J]. 环境科学学报, 2007,27(3):487-493.
|
[14] |
南京市气象局.南京市2014年1月气候影响评价[2014-02-10].[DB/OL]. http://www.nanjing.gov.cn/njszfnew/sydw/qxj/201402/t20140226_2512064.html.
|
[15] |
Li M, Zhang Q, Kurokawa J, et al. MIX:a mosaic Asian anthropogenic emission inventory under the international collaboration framework of the MICS-Asia and HTAP[J]. Atmospheric Chemistry & Physics, 2017,17(23):34813-34869.
|
[16] |
Gao M, Carmichael G R, Wang Y S, et al. Improving simulations of sulfate aerosols during winter haze over Northern China:the impacts of heterogeneous oxidation by NO2[J]. Frontiers of Environmental Science & Engineering, 2016,10(5):16.
|
[17] |
Gao M, Carmichael G R, Wang Y S, et al. Modeling study of the 2010 regional haze event in the North China Plain[J]. Atmospheric Chemistry & Physics, 2016,15(16):22781-22822.
|
[18] |
Grell G A, Peckham E S E, Schmitz R, et al. Fully coupled "online" chemistry within the WRF model[J]. Atmospheric Environment, 2005, 39(37):6957-6975.
|
[19] |
Tie X X, Madronich S, Li G H, et al. Characterizations of chemical oxidants in Mexico City:A regional chemical dynamical model (WRF-Chem) study[J]. Atmospheric Environment, 2007,41(9):1989-2008.
|
[20] |
Jiang F, Wang T T, Wang T T, et al. Numerical modeling of a continuous photochemical pollution episode in Hong Kong using WRF-chem[J]. Atmospheric Environment, 2008,42(38):8717-8727.
|
[21] |
Zhang Y, Wen X Y, Jang C J. Simulating chemistry-aerosol-cloud-radiation-climate feedbacks over the continental U.S. using the online-coupled Weather Research Forecasting Model with chemistry (WRF/Chem)[J]. Atmospheric Environment, 2010,44(29):3568-3582.
|
[22] |
Wang X M, Wu Z Y, Liang G X. WRF/CHEM modeling of impacts of weather conditions modified by urban expansion on secondary organic aerosol formation over Pearl River Delta[J]. Particuology, 2009,7(5):384-391.
|
[23] |
Emmons L K, Walters S, Hess P G, et al. Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4(MOZART-4)[J]. Geoscientific Model Development, 2010,3(1):43-67.
|
[24] |
Boylan J W, Russell A G. PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models[J]. Atmospheric Environment, 2006,40(26):4946-4959.
|
[25] |
An X Q, Sun Z B, Lin W L, et al. Emission inventory evaluation using observations of regional atmospheric background stations of China[J]. Journal of Environmental Sciences, 2013,25(3):537.
|
[26] |
Wang Y X, Zhang Q Q, Jiang J K, et al. Enhanced sulfate formation during China's severe winter haze episode in January 2013 missing from current models[J]. Journal of Geophysical Research Atmospheres, 2015,119(17):10425-10440.
|
[27] |
Chen D, Liu Z Q, Fast J, et al. Simulations of sulfate-nitrate-ammonium (SNA) aerosols during the extreme haze events over northern China in October 2014[J]. Atmospheric Chemistry & Physics, 2016,16(16):10707-10724.
|
[28] |
Li G H, Bei N F, Cao J J, et al.. A possible pathway for rapid growth of sulfate during haze days in China[J]. Atmospheric Chemistry & Physics, 2017,17(5):1-43.
|
[29] |
黄怡民,刘子锐,陈宏,等.北京夏冬季霾天气下气溶胶水溶性离子粒径分布特征[J]. 环境科学, 2013,34(4):1236-1244.
|
[30] |
杜晓惠,徐峻,刘厚凤,等.重污染天气下电力行业排放对京津冀地区PM2.5的贡献[J]. 环境科学研究, 2016,29(4):475-482.
|
[31] |
薛文博,王金南,韩宝平,等. PM2.5输送特征与环境容量模拟[M]. 北京:中国环境出版社, 2017:119-146.
|
[32] |
陈静,钤伟妙,韩军彩,等.石家庄市秋季典型天气背景下重污染特征分析[J]. 气象与环境学报, 2015,31(4):42-50.
|
[33] |
蒋伊蓉,朱蓉,朱克云,等.京津冀地区重污染天气过程的污染气象条件数值模拟研究[J]. 环境科学学报, 2015,35(9):2681-2692.
|
[34] |
杜川利,唐晓,李星敏,等.城市边界层高度变化特征与颗粒物浓度影响分析[J]. 高原气象, 2014,33(5):1383-1392.
|
|
|
|