Chengdu Academy of Environmental Sciences, Chengdu 610072, China
Tao Jiang
Sichuan Academy of Eco-Environmental Sciences, Chengdu 610041, China
Qiang Chen
Sichuan Academy of Eco-Environmental Sciences, Chengdu 610041, China
Yuan Li
Sichuan Academy of Eco-Environmental Sciences, Chengdu 610041, China
Wei Li
Chengdu Academy of Environmental Sciences, Chengdu 610072, China
Yizhi Wang
Chengdu Academy of Environmental Sciences, Chengdu 610072, China
Xiaojuan Huang
Department of Environmental Science and Engineering, Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, Shanghai 200438, China
Lin Han
School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China
Wanqing Wu
School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China
Key Lab of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China
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Total article views: 3,171 (including HTML, PDF, and XML)
Thereof 3,171 with geography defined
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Total article views: 2,532 (including HTML, PDF, and XML)
Thereof 2,532 with geography defined
and 0 with unknown origin.
Total article views: 639 (including HTML, PDF, and XML)
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Typical haze events in Chengdu at the beginning of 2023 were investigated with bulk-chemical and single-particle analyses along with numerical model simulations. By integrating the obtained chemical composition, source, mixing state and numerical simulation results, we infer that Haze-1 was mainly caused by pollutants related to fossil fuel combustion, especially local mobile sources, while Haze-2 was triggered by the secondary pollutants, which mainly came from regional transmission.
Typical haze events in Chengdu at the beginning of 2023 were investigated with bulk-chemical and...
