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基于网格化扩散模拟的影响川南地区的空气污染物传输通道。

Transport Channels of Air Pollutants Affecting the Southern Sichuan Basin Based on Gridded Dispersion Simulation.

机构信息

Department of Environmental Science and Engineering, Sichuan University, Chengdu 610065, China.

College of Carbon Neutrality Future Technology, Sichuan University, Chengdu 610065, China.

出版信息

Int J Environ Res Public Health. 2023 Apr 4;20(7):5396. doi: 10.3390/ijerph20075396.

DOI:10.3390/ijerph20075396
PMID:37048010
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10094188/
Abstract

Air pollutants suspended in the atmosphere have a large impact on air quality, climate, and human health. As one of the important populated and industrialized regions in China, the Sichuan Basin (SCB) has confronted severe air pollution in recent years. Previous studies have shown that regional transport played a significant role in the formation of regional pollution in the SCB, particularly in the southern basin. Using Yibin and Zigong as representative receptor cities, we further identified the transport channels affecting the southern basin by conducting gridded dispersion simulations. A total of seven channels were identified, including three for cyclonic transport, three through the mountainous areas between the Longquan Mountain and the Huaying Mountain, and one along the Yangtze River. Varying seasonal distributions of their occurrence frequencies were observed. Furthermore, observational evidence for several universal channels was presented during a typical transport case. The transport pathways identified in this study can guide the planning of regional distribution of emission sources and the measures for regional joint prevention and control of air pollution.

摘要

空气中悬浮的空气污染物对空气质量、气候和人类健康有很大影响。四川盆地(SCB)作为中国重要的人口和工业化地区之一,近年来面临着严重的空气污染。先前的研究表明,区域传输在 SCB 地区污染的形成中起着重要作用,特别是在南部盆地。我们选择宜宾和自贡作为有代表性的受体城市,通过网格化扩散模拟进一步确定了影响南部盆地的传输通道。总共确定了七个通道,包括三个气旋传输通道,三个穿过龙泉山和华蓥山之间的山区的通道,以及一个沿着长江的通道。它们的发生频率具有不同的季节性分布。此外,在一个典型的传输案例中还提出了几个通用通道的观测证据。本研究中确定的传输途径可以指导排放源的区域分布规划和区域联合防治空气污染的措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/53b1d9ab4069/ijerph-20-05396-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/088eaa8a0555/ijerph-20-05396-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/13a95df4538d/ijerph-20-05396-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/1f4bae1ab6db/ijerph-20-05396-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/1781ed33b5ac/ijerph-20-05396-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/62e90e05da69/ijerph-20-05396-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/d1972d6f82c0/ijerph-20-05396-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/29c7a4933bda/ijerph-20-05396-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/d26de1d92153/ijerph-20-05396-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/3db074aa2d2f/ijerph-20-05396-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/53b1d9ab4069/ijerph-20-05396-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/088eaa8a0555/ijerph-20-05396-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/13a95df4538d/ijerph-20-05396-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/1f4bae1ab6db/ijerph-20-05396-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/1781ed33b5ac/ijerph-20-05396-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/62e90e05da69/ijerph-20-05396-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/d1972d6f82c0/ijerph-20-05396-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/29c7a4933bda/ijerph-20-05396-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/d26de1d92153/ijerph-20-05396-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/3db074aa2d2f/ijerph-20-05396-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565e/10094188/53b1d9ab4069/ijerph-20-05396-g010.jpg

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