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跨境传输自中国的 PM2.5 对韩国区域 PM2.5 浓度的影响:空间面板数据分析。

Effects of transboundary PM2.5 transported from China on the regional PM2.5 concentrations in South Korea: A spatial panel-data analysis.

机构信息

Department of Urban Planning and Real Estate, Chung-Ang University, Seoul, Korea.

出版信息

PLoS One. 2023 Apr 13;18(4):e0281988. doi: 10.1371/journal.pone.0281988. eCollection 2023.

Abstract

This study identifies causal links between a high-PM2.5 episode in Korea and air pollutants originating from China during a high-PM2.5 episode that occurred in Korea between February 23 and March 12, 2019. Datasets on ground-based PM2.5 levels in Korea and China, airflows from the back-trajectory models, and satellite images were investigated, and long-range transboundary transport (LRTT) effects were statistically analyzed using spatial panel-data models. The findings are: 1) visual presentations of the observed PM2.5 concentration in China and Korea, back-trajectory air flows, and satellite images from the Moderate Resolution Imaging Spectroradiometer Aerosol Optical Depth and the Copernicus Atmosphere Monitoring Service clearly show that transboundary air pollutants from China affect PM2.5 concentration in Korea; 2) the effect of LRTT from China is likely to intensify under certain meteorological conditions, such as westerly winds from China to Korea, the formation of high pressure in China and low pressure in Korea, relatively high temperature, and stagnant air flow in Korea; 3) the results from the spatial panel-data models provide statistical evidence of the positive effect of LRTT from China on increasing local PM2.5 concentration in Korea. The nationwide average LRTT contributions to PM2.5 concentration in Korea are 38.4%, while regional contributions are 41.3% for the Seoul Metropolitan Area, 38.6% for the northwest region, and 27.5% for the southeast regions in Korea, indicating the greatest impact on the Seoul Metropolitan Area.

摘要

本研究确定了韩国一次高 PM2.5 事件期间与中国高 PM2.5 事件期间 PM2.5 源污染物之间的因果关系。研究调查了韩国和中国地面 PM2.5 水平数据集、后向轨迹模型气流以及卫星图像,并使用空间面板数据模型对长程跨境传输(LRTT)效应进行了统计分析。研究结果表明:1)观察到的中国和韩国的 PM2.5 浓度、后向轨迹气流以及中分辨率成像光谱仪气溶胶光学深度和哥白尼大气监测服务卫星图像的直观展示清楚地表明,来自中国的跨境空气污染物会影响韩国的 PM2.5 浓度;2)在中国特定气象条件下,如从中国到韩国的西风、中国形成的高压和韩国形成的低压、相对较高的温度以及韩国停滞的气流,LRTT 效应可能会加剧;3)空间面板数据模型的结果提供了统计证据,表明中国的 LRTT 对增加韩国当地 PM2.5 浓度有积极影响。中国对韩国全国 PM2.5 浓度的平均 LRTT 贡献为 38.4%,而首尔大都市地区为 41.3%,西北部地区为 38.6%,东南部地区为 27.5%,表明对首尔大都市地区的影响最大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a0a/10101448/28dc2341c9a3/pone.0281988.g001.jpg

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