Quantifying background PM2.5 concentrations in Hainan Province, China through model simulations constrained by multi-source observations

Yibo Zhang , Yanning Zhang , Yuhong Guo , Jiming Hao , Wenshuai Xu , Weijun Yan , Shuxiao Wang , Qian Song , Shengyue Li , Weiling Xiang , Li Luo , Xiaofeng Huang , Zhaohui Yang , Xiaochen Wu , Yun Zhu , Shuhan Liu , Bin Zhao

Front. Environ. Sci. Eng. ›› 2025, Vol. 19 ›› Issue (12) : 173

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Front. Environ. Sci. Eng. ›› 2025, Vol. 19 ›› Issue (12) : 173 DOI: 10.1007/s11783-025-2093-5
RESEARCH ARTICLE

Quantifying background PM2.5 concentrations in Hainan Province, China through model simulations constrained by multi-source observations

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Abstract

As a national ecological civilization pilot zone with unprecedented strategic importance in China, Hainan Province requires precise identification of PM2.5 background concentrations to achieve world-leading air quality objectives. This study utilized the three-dimensional regional air quality modeling (WRF-CMAQ) and integrated multi-source ground observation data for model validation. To quantify the PM2.5 background values for Hainan, representing concentrations largely influenced by natural emissions and regional transport, we determined the contributions from these sources. The results identified local anthropogenic emissions (49.5%) and regional transport (29.3%) as the dominant PM2.5 sources in Hainan, with important natural contributions (19.0%). Based on the theoretical definition of background concentrations grounded in scientific research and the objective of providing practical policy insights for Hainan, the PM2.5 background values were defined as the PM2.5 concentration after (1) excluding local anthropogenic emissions; (2) excluding anthropogenic emissions across Hainan and its surrounding regions; and (3) excluding local emissions combined with projected 2035 emission scenarios for surrounding areas. Based on these three definition methods, the 18 cities-averaged PM2.5 background values for Hainan were determined as 6.9, 4.2, and 5.2 μg/m3, while the corresponding grid-averaged values calculated were 6.7, 4.6, and 4.9 μg/m3, respectively. Accounting for meteorological fluctuations could yield lower estimated PM2.5 concentrations for Hainan. Hainan’s PM2.5 background values showed comparability with levels documented in clean island areas globally. Our study demonstrated that Hainan maintained a relatively low PM2.5 background level, showing substantial emission reduction potential. Through implementation of effective control measures, Hainan is projected to achieve world-leading air quality by 2035.

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Keywords

Background value / PM2.5 concentration / Source contribution / Hainan Province / CMAQ model

Highlight

● Local emissions (49.5%) and regional transport (29.3%) dominate Hainan’s PM2.5.

● Annual mean PM2.5 background levels in Hainan are low (4.2–6.9 μg/m3).

● Estimated PM2.5 background values can be decreased by meteorological fluctuations.

● Hainan has high potential to achieve world-leading air quality targets by 2035.

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Yibo Zhang, Yanning Zhang, Yuhong Guo, Jiming Hao, Wenshuai Xu, Weijun Yan, Shuxiao Wang, Qian Song, Shengyue Li, Weiling Xiang, Li Luo, Xiaofeng Huang, Zhaohui Yang, Xiaochen Wu, Yun Zhu, Shuhan Liu, Bin Zhao. Quantifying background PM2.5 concentrations in Hainan Province, China through model simulations constrained by multi-source observations. Front. Environ. Sci. Eng., 2025, 19(12): 173 DOI:10.1007/s11783-025-2093-5

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