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2013年12月上海市PM_(2.5)重污染过程数值模拟研究 被引量:8

Numerical simulation and process study of PM_(2.5) pollution episode over Shanghai in December 2013
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摘要 基于2013年11月30日—12月13日上海一次PM_(2.5)重污染过程,利用Model-3/CMAQ模式及过程分析技术,定量评估不同时段各大气过程对上海PM_(2.5)浓度变化的影响.结果表明:Model-3/CMAQ模式系统能较好的模拟出实况PM_(2.5)的浓度变化趋势与特点.研究期间,白天源排放的增强和大气传输的影响、加上较强的气溶胶和云过程生成贡献,是造成上海PM_(2.5)浓度上升至重污染的主要原因.不同污染时段对PM_(2.5)浓度上升贡献率最大的过程均为输送,其中,西北部点位(青浦淀山湖和虹口凉城输送)的贡献率最大,且重污染时段输送的贡献率明显高于非重污染时段. Model-3 / CMAQ model and integrated process rates analysis method were used to investigate the influences of various atmospheric processes on the evolution of ambient PM2.5during a typical pollution episode in Shanghai in November 2013. The comparisons revealed that Model-3 / CMAQ model system could simulate the trends and characteristics of PM2.5concentration well. The results of process analysis showed that heavy pollution of PM2.5during the study time was mainly attributed to increase of local emission,regional transport and secondary production of aerosols. Regional transport of air pollutants contributed the most to the pollution in Shanghai,especially in the northwest area( Qingpu Dianshan lake and Hongkou Liangcheng). It's worth noting that the contributions of transport during the polluted periods were more significant than those during the clean periods.
出处 《环境科学学报》 CAS CSCD 北大核心 2016年第6期2152-2159,共8页 Acta Scientiae Circumstantiae
基金 国家自然科学基金(No.41505105) 国家科技支撑计划项目(No.2014BAC16B05)~~
关键词 上海 PM2.5重污染 CMAQ模式 污染贡献率 Shanghai heavy pollution of PM2.5 CMAQ contribution ratio of pollution
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  • 1安静宇,李莉,黄成,王杨君,黄海英,陈长虹,严茹莎,李浩,周敏,卢清,乔利平,楼晟荣,,王红丽,王倩,陈明华.2013年1月中国东部地区重污染过程中上海市细颗粒物的来源追踪模拟研究[J].环境科学学报,2014,34(10):2635-2644. 被引量:47
  • 2Choi Y J, Hyde P, Fernando H J S.2006. Modeling of episodicparticulate matter events using a 3-D air quality model with finegrid: Applications to a pair of cities in the US/Mexico border [ J ]. Atmospheric Environment, 40 ( 27 ) : 5181-5201.
  • 3Foley K, Roselle S, Appel K, et al. 2010. Incremental testing of thecommunity muhiscale air quality ( CMAQ ) modeling systemversion 4.7 [ J ]. Geoseientific Model Development, 3 : 205-226.
  • 4胡子梅,王军,陶征楷,陈振楼.上海市PM2.5重金属污染水平与健康风险评价[J].环境科学学报,2013,33(12):3399-3406. 被引量:111
  • 5Janjic Z I. 1994. The step-mountain eta coordinate model: Further development of the convection, viscous sub-layer, and turbulent closure schemes [ J ].Monthly Weather Review, 122 : 927-945.
  • 6Kurokawa J, Ohara T, Morikawa T, et al. 2013. Emissions of air pollutants and greenhouse gases over Asianregions during 2000 regional emission inventory in Asia (REAS) version2 2008Atmospheric Chemistry and Physics, 13 ( 21 ) : 11019-11058.
  • 7Kwok R H F, Fung J C H, Lau A K H, et al. 2010. Numerical study onseasonal variations of gaseous pollutants and particulate mattersin Hong Kong and Pearl River Delta Region[ J] .Journal of Geophysical Research, 115 : D16308-D16330.
  • 8李莉,蔡鋆琳,周敏.2013年12月中国中东部地区严重灰霾期间上海市颗粒物的输送途径及潜在源区贡献分析[J].环境科学,2015,36(7):2327-2336. 被引量:84
  • 9Li L, Huang C, Huang H Y, et a/.2014.An integrated process rate analysis of a regional fine partieulate matter episode over Yangtze River Delta in 2010 [J].Atmospheric Environment, 91 : 60-70.
  • 10Liu X H, Zhang Y, Cheng S H, et al.2010. Understanding of regionalair pollution over China using CMAQ, part I pefformaneeevaluation and seasonal variation[J]. Atmospheric Environment, 44 (20): 2415-2426.

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