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| 海口市秋季大气污染特征及气象驱动机制研究 |
| Research on Characteristics of Autumn Air Pollution and Meteorological Driving Mechanisms in Haikou |
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| DOI： |
| 中文关键词: 大气污染 气象因子 结构方程模型 潜在源区 秋季 海口市 |
| 英文关键词: Air pollution Meteorological factors Structural equation modeling Potential source regions Autumn Haikou |
| 基金项目:国家自然科学基金资助项目（32260294）；海南省自然科学青年基金资助项目（423QN315）；海南省院士创新平台科研专项基金资助项目（YSPTZX202205） |
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| 中文摘要: |
| 基于2018—2022年大气污染物及气象数据，综合运用偏相关分析、结构方程模型（SEM）和加权潜在源贡献因子法（WPSCF），系统揭示海口市秋季大气污染特征及气象驱动机制。结果表明，PM25、PM10、SO2和NO2年均浓度呈下降趋势，O3浓度年际变化呈“M”型波动，秋季O3超标天数占总超标天数的878%，为秋季唯一超标污染物。气象因子中，相对湿度与气温对O3浓度影响显著，中高湿度、中等温度条件下O3浓度易升高；风速降低易造成NO2累积，降水量对污染物的整体影响较弱。台风过程对O3的影响具有两面性，下沉气流造成O3浓度累积，而强风和降水则促进O3扩散清除。SEM量化结果表明，秋季相对湿度对O3和PM10贡献率分别达6554%和6791%，风速对NO2贡献率为6100%，二者均为关键气象因子。WPSCF分析表明，O3潜在源区集中于广东省、湖南省和江西省等地，区域传输影响显著 |
| 英文摘要: |
| Based on atmospheric pollutant and 〖JP3〗meteorological data of Haikou from 2018 to 2022， this study〖JP〗 applied partial correlation analysis， structural equation modeling（SEM） and weighted potential source contribution function（WPSCF） to systematically elucidate the characteristics of autumn air pollution and meteorological driving mechanisms. The results indicated that annual average concentrations of PM25、PM10、SO2 and NO2 exhibited a decreasing trend， whereas O3 showed an interannual “M” shaped fluctuation. O3 accounted for 878% of total non attainment days in autumn， emerging as the sole non compliant pollutant in the season. Among meteorological factors， relative humidity and temperature exerted significant influences on O3 concentrations. Medium to high humidity combined with moderate temperatures facilitated O3 elevation. Reduced wind speeds exacerbated NO2 accumulation， while precipitation had a negligible effect on pollutants. Typhoon processes demonstrated dualistic impacts. Subsidence airflow induced O3 accumulation， whereas strong winds and precipitation promoted its dispersion. Quantitative SEM analysis revealed that relative humidity contributes 6554% to O3 and 6791% to PM10 in autumn while wind speed contributed 6100% to NO2， identifying them as key meteorological factors. WPSCF analysis suggested that potential source regions for O3 were primarily concentrated in Guangdong， Hunan， and Jiangxi provinces， 〖GK!87mm〗highlighting the significance of regional transport. |
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