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Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal

Email: aml@fe.up.pt

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn


Study on Transports of Atmospheric Pollutants under Global Wind by Dynamical System Approach

Journal of Environmental Accounting and Management 10(4) (2022) 345--360 | DOI:10.5890/JEAM.2022.12.002

Wei Wang$^{1}$, Jiazhong Zhang$^{1}$, Zhihui Li$^{2}$, Chunxue Wang$^{3}$, Dalei Wang$^{3}$

$^{1}$ School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, 710049, P. R. China

$^{2}$ China Aerodynamics Research and Development Center, P. O. Box 211, Mianyang, 621000, P. R. China

$^{3}$ Beijing Power Machinery Institute, Beijing, 100074, P. R. China

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Abstract

The transport of atmospheric pollutants under global wind is analyzed from viewpoint of dynamical system, with the Lagrangian coherent structures (LCSs) extracted from the wind field. First, the distribution of global atmospheric pollutants is presented using the data of inhalable particulate matters and dust aerosols. Then, the transports of pollutants are analyzed using hyperbolic LCSs extracted from the global wind field, with a detailed analysis of the North Atlantic region. Finally, the formation and evolution of vortices in the process of pollutants transport are analyzed further by Lagrangian-averaged vorticity deviation (LAVD) method. It can be concluded that the transport of pollutants is closely related to the hyperbolic LCSs in the wind field. Importantly, these structures as transport barriers can act as the transport channels of particulate matters, and one conceptual design to control atmospheric pollutants efficiently could be provided tentatively, based on studies presented.

Acknowledgments

This work is supported by the projects of the manned space engineering technology (No.2020-ZKZX-5011), National key fundamental research project (No.2019-JCJQ-ZD-177-01), National major project (No.77960800000- 0200007) and National Natural Science Foundation of China (No.51775437).

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