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基于走航观测的长江三角洲地区大气污染特征及来源追踪
引用本文:杨丹丹,王体健,李树,马超群,刘冲,杨帆. 基于走航观测的长江三角洲地区大气污染特征及来源追踪[J]. 中国环境科学, 2019, 39(9): 3595-3603
作者姓名:杨丹丹  王体健  李树  马超群  刘冲  杨帆
作者单位:南京大学大气科学学院, 江苏 南京 210023
基金项目:国家自然科学基金资助项目(91544230,41575145);国家重大科技研发项目(2017YFC0209803,2016YFC0208504)
摘    要:为了加强对长江三角洲地区大气污染分布特征和输送规律的认识,利用移动车载设备开展了不定期的走航观测,重点研究了2016-2018年冬季灰霾污染和春季光化学污染条件下长江三角洲地区的大气污染特征.结果表明,走航观测期间长江三角洲地区PM2.5日均浓度为60~122 μg/m3,东部的常州、无锡一带,西部的合肥、芜湖地区,北部蚌埠、滁州一带,南部湖州、杭州地区的PM2.5浓度较高,比其他地区高出20%~40%.O3日均浓度水平为9~52 μg/m3,苏州、盐城、宣城与湖州地区浓度相对较高.运用FLEXPART_WRF模式,结合PM2.5排放清单,分析了走航观测期间长江三角洲地区及沿线城市PM2.5的潜在来源.结果发现,东风条件下,南通及上海地区为PM2.5的潜在源区,北风条件下,连云港、盐城等地区贡献较大.运用FLEXPART前向轨迹计算模块,对一次污染个例过程进行了模拟,并利用走航观测结果进行了验证,发现模拟结果与走航观测结果的相关系数达到0.9.可见,长江三角洲地区存在区域性的PM2.5和O3污染,走航观测结合轨迹分析是追踪污染气团输送的有效手段.

关 键 词:长江三角洲  大气污染  走航观测  FLEXPART  WRF  
收稿时间:2019-02-21

Air pollution characteristics and source tracking in the Yangtze River Delta based on cruise observation
YANG Dan-dan,WANG Ti-jian,LI Shu,MA Chao-qun,LIU Chong,YANG Fan. Air pollution characteristics and source tracking in the Yangtze River Delta based on cruise observation[J]. China Environmental Science, 2019, 39(9): 3595-3603
Authors:YANG Dan-dan  WANG Ti-jian  LI Shu  MA Chao-qun  LIU Chong  YANG Fan
Affiliation:School of Atmospheric Science, Nanjing University, Nanjing 210023, China
Abstract:To enhance our understanding of the distribution and transport of air pollution in the Yangtze River Delta (YRD) region, cruise measurements were carried out in the YRD. We focused on winter haze pollution and spring photochemical pollution over 2016~2018. It was showed that the PM2.5 concentrations in the Yangtze River Delta ranged between 60 and 122μg/m3, varying largely with location. In the Wuxi-Changzhou area in the east of YRD, the Wuhu-Hefei area in the west, the Bengbu-Chuzhou area in the north, and the Huzhou-Hangzhou area in the south, the PM2.5 concentrations were 20%~40% higher than other regions. The concentrations of O3 were 9~52μg/m3 with unnoticeable spatial variation. The concentrations of ozone in Suzhou, Yancheng, Xuancheng and Wuhu were relatively high. We further used the FLEXPART_WRF model combined with the PM2.5 emission inventory to explore the possible sources of PM2.5 in the YRD. We found that Nantong and Shanghai were the potential sources of PM2.5 when east wind prevails, while Lianyungang and Yancheng contributed more when north wind prevails. We simulated forward trajectories using FLEXPART for a pollution episode. We found the correlation coefficient between the cruise observations and the simulation reaches 0.9. Overall, there still existed regional PM2.5 and O3 pollution in YRD region, and cruise observation combined with the trajectory analysis is an effective tool to trace the regional transport of these pollutants.
Keywords:the Yangtze River Delta  air pollution  cruise observation  FLEXPART  WRF  
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