Page 247 - 《高原气象》2026年第1期

1 期 武泽昊等：2016年秋季海口市臭氧污染来源解析模拟研究 243

Simulation and Source Analysis of Ozone Pollution

in Haikou City during Autumn 2016

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WU Zehao ， HE Jianjun ， WANG Jianjun 3
（1. School of Computer Science and Technology， Hainan University， Haikou 570100， Hainan， China；
2. State Key Laboratory of Severe Weather Meteorological Science and Technology， Chinese Academy
of Meteorological Sciences， Beijing 100081， China；
3. School of Marine Science and Engineering， Hainan University， Haikou 570100， Hainan， China）

Abstract： The WRF-Chem model （v4. 4） was employed to simulate ozone （O） concentrations in the Haikou re‐
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gion of Hainan Province during the autumn of 2016 （September to November）， complemented by the FLEX‐
PART-WRF model for backward trajectory analysis. The research aimed to quantify the contributions of physical
and chemical processes to O variations， examine the characteristics of regional transport， and identify potential
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source areas. Process analysis was applied to evaluate the influence of various mechanisms on O concentration
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changes. Results indicated significant diurnal variation in the roles of chemical processes， vertical mixing and
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dry deposition. During the day， chemical reactions contributed an average of 11. 5 μg·m to O levels， with a
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peak of 17. 8 μg·m ， while a net negative contribution was observed at night. Vertical mixing and dry deposition
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processes were major removal mechanisms during daylight hours but weakened considerably at night. Although
advection transport had a relatively minor impact， its influence varied under different air mass origins. Cluster
analysis of FLEXPART-WRF-simulated backward trajectories demonstrated that O concentrations in Haikou
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were strongly affected by the direction of incoming air masses. Higher concentrations were associated with north‐
ern and northeastern air masses， while lower levels were linked to cleaner air masses from the southeast and
south. Overall， chemical processes dominated the increase in O concentrations， whereas vertical mixing and dry
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deposition processes served as the principal removal mechanisms. The contribution of advection transport to
changes in O concentration is relatively small. Potential source regions were further identified using the Potential
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Source Contribution Function （PSCF） and Concentration Weighted Trajectory （CWT） methods. Key source ar‐
eas were located in the northeastern coastal regions and the southeastern part of Guangdong Province， contribut‐
ing an average of 60~70 μg·m per month. These findings provide critical insight into the evolution of atmo‐
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spheric composition in tropical coastal cities and offer a scientific basis for the development of regional air quali‐
ty management strategies.
Key words： WRF-Chem； FLEXPART； ozone pollution； process analysis； regional transport； coastal city