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不同天气形势对南京地区双高污染的输送及潜在源区分析
摘要点击 1603  全文点击 332  投稿时间:2023-02-22  修订日期:2023-05-06
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中文关键词  双高污染  天气分型  污染输送路径  潜在源区  南京
英文关键词  double high pollution  synoptic situation  pollution transporting pathway  potential pollution source  Nanjing
作者单位E-mail
秦阳 中国气象局河南省农业气象保障与应用技术重点开放实验室, 郑州 450003
河南省气象台, 郑州 450003
南京信息工程大学环境科学与工程学院, 江苏省大气环境监测与污染控制高技术研究重点实验室, 南京 210044 
njqiny185@163.com 
胡建林 南京信息工程大学环境科学与工程学院, 江苏省大气环境监测与污染控制高技术研究重点实验室, 南京 210044 jianlinhu@nuist.edu.cn 
孔海江 中国气象局河南省农业气象保障与应用技术重点开放实验室, 郑州 450003
河南省气象台, 郑州 450003
安阳国家气候观象台, 安阳 455000 
hjkong@foxmail.com 
中文摘要
      基于2015~2019年南京细颗粒物(PM2.5)和臭氧(O3)逐小时浓度数据,通过T-mode主成分分析法对南京发生PM2.5和O3污染同时高浓度并存(双高污染)时的天气形势进行了分型,利用后向轨迹聚类分析法、潜在来源贡献法(PSCF)和浓度权重轨迹分析法(CWT)研究不同天气形势对南京双高污染的输送路径及潜在源区分布.结果表明,有利于南京地区双高污染的天气形势分别为弱的低压型(Type1)和高压中心型(Type2).天气形势会对后向轨迹的方位来源产生影响.Type1时,南京地区受到东北和西南两个低气压影响,气团的聚类轨迹主要来自东西两个方位,轨迹中ρ(PM2.5)和ρ(O3)平均值分别为83.48 μg·m-3和106.85 μg·m-3.Type2时,南京及其周边在高压中心边缘,气团聚类轨迹主要来自北方和东方,轨迹中ρ(PM2.5)和ρ(O3)平均值分别为94.47 μg·m-3和92.32 μg·m-3.同时两种类型后向轨迹绝大部分属于中短距离区域输送,说明周边临近省份的污染是影响南京地区双高污染主要原因之一.PSCF和CWT分析表明,两者高值区域基本保持一致.Type1和Type2两种类型中PM2.5和O3的最主要潜在源区均出现分布并不完全一致的情况,表明双高污染中的两种污染物并非来自同一地区.
英文摘要
      Based on the hourly concentration data of fine particulate matter (PM2.5) and ozone (O3) in Nanjing from 2015 to 2019, the synoptic situation that occurred in Nanjing, in which high PM2.5 and high O3 coexisted (hereinafter referred to as double high pollution (DHP)), was typed using T-mode principal component analysis. Additionally, the backward trajectory clustering analysis method, potential source contribution method (PSCF), and concentration weight trajectory analysis method (CWT) were used to study the transport paths and potential source region distribution of the DHP of Nanjing by different synoptic situations. The synoptic situations favorable to the DHP in Nanjing were the control of weak low-pressure type (Type1) and high-pressure center (Type2). Synoptic situations could have had an effect on the directional origin of the backward trajectory. In Type1, the Nanjing area was affected by two low pressures in the northeast and southwest, and the clustering trajectories of the Nanjing air mass mainly came from the eastern and western directions. The average concentrations of PM2.5 and O3 in the trajectory were 83.48 μg·m-3 and 106.85 μg·m-3, respectively. In Type 2, Nanjing and its surroundings were at the edge of the high-pressure center, and the air mass cluster trajectories mainly came from the north and east. The average concentrations of PM2.5 and O3 in the trajectory were 94.47 μg·m-3 and 92.32 μg·m-3, respectively. Most of the two types of backward trajectories belonged to short and medium-distance regional transportation, indicating that the pollution of neighboring provinces was one of the main factors affecting the DHP in Nanjing. PSCF and CWT analysis showed that the distribution of the most important potential sources of PM2.5 and O3 in Type1 and Type2 were not completely consistent, which indicates that the two pollutants did not come from the same area in the DHP.

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