Author
Listed:
- Yue Li
(School of Remote Sensing and Information Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China)
- Yuejun He
(School of Remote Sensing and Information Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China)
- Yumeng Wang
(Institute of Geographic Sciences and Natural Resources Research, Beijing 100101, China)
- Guangying Li
(Qinghai Provincial Center for Environmental Planning and Environmental Protection Technology, Xining 810000, China)
- Xuan Zhang
(Qinghai Provincial Center for Environmental Planning and Environmental Protection Technology, Xining 810000, China)
- Hongjie Niu
(School of Remote Sensing and Information Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China)
- Yuanxun Zhang
(College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing 101400, China)
- Lijing Wang
(College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing 101400, China)
Abstract
Air pollution, particularly fine particulate matter (PM 2.5 ) and ozone (O 3 ) pollution, poses serious challenges to environmental quality and sustainable development. The Tibetan Plateau, often described as the “Third Pole,” functions as a key ecological shield for China and exerts wide-reaching influence on global climate systems, hydrological cycles, and cross-regional pollution transport. To better clarify the driving mechanisms of air pollution in this sensitive region, we propose an integrated MRG–HSW framework, which, for the first time, systematically couples statistical modeling and trajectory analysis by combining multivariate regression, residual-based screening, and HYSPLIT–WCWT trajectory analyses. Taking Qinghai Province as a case study, ERA5 and GDAS1 reanalysis products were coupled with in situ monitoring to identify the relative contributions of local emissions and long-range atmospheric transport. The results show that, in low-elevation zones, PM 2.5 levels are largely governed by local anthropogenic activities (R 2 = 0.631–0.803), whereas O 3 concentrations respond more strongly to meteorological variability (R 2 = 0.529–0.779). At higher elevations, however, local explanatory factors weaken, and long-range transport from the Hexi Corridor, Qaidam Basin, and even South Asia becomes the dominant influence for both pollutants. Additional sensitivity tests confirm that the framework performs robustly under diverse meteorological and seasonal conditions. Collectively, this work not only establishes a transferable methodology for source attribution in plateau environments but also underscores the pivotal role of the Tibetan Plateau in sustaining regional air quality and global environmental stability.
Suggested Citation
Yue Li & Yuejun He & Yumeng Wang & Guangying Li & Xuan Zhang & Hongjie Niu & Yuanxun Zhang & Lijing Wang, 2025.
"Identification of Local and Transboundary Sources and Mechanisms of PM 2.5 and O 3 Pollution on the Tibetan Plateau: Implications for Sustainable Air Quality Governance,"
Sustainability, MDPI, vol. 17(23), pages 1-26, December.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:23:p:10853-:d:1809954
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