首页|2019-2022年京津冀臭氧污染特征及影响因素分析

2019-2022年京津冀臭氧污染特征及影响因素分析

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利用2019-2022年对流层观测仪(TROPOMI)数据,结合增强回归树(BRT)模型分析了京津冀地区臭氧柱浓度变化特征及其影响因素。结果表明:臭氧柱浓度具有明显的空间差异性,呈北高南低趋势。京津冀地区臭氧柱浓度年内月变化呈先上升后下降又上升的趋势,每年2-3月臭氧柱浓度最高,8-10月臭氧柱浓度最低,呈"N"型。臭氧柱浓度随季节变化明显,春季是京津冀地区臭氧柱浓度最高的季节,冬季、夏季、秋季依次减小。8个影响因素中,温度与相对湿度对臭氧柱浓度贡献率最高。从整体上看,气象因素对臭氧柱浓度变化贡献率达到77。1%。
Analysis of ozone pollution characteristics and influencing factors in Beijing-Tianjin-Hebei Region from 2019 to 2022
Based on the TROPOMI data from 2019 to 2022 and BRT model,the change characteristics of the ozone column concentration and their influencing factors in the Beijing-Tianjin-Hebei region were analyzed.The results showed that the ozone column concentration had obvious spatial differences,with a trend of high in the north and low in the south.The monthly ozone column concentration in the Beijing-Tianjin-Hebei region showed a trend of first increasing,then decreasing and last increasing again in a year,with the highest ozone column concentration in February to March and the lowest ozone column concentration in August to October,displaying an"N"shape.The ozone column concentration varied significantly with the season,and spring was the highest season for ozone column concentration in the Beijing-Tianjin-Hebei region,followed by winter,summer and autumn in descending order.Temperature and relative humidity contributed the highest to the ozone column concentration among the eight influencing factors,and in general,meteorological factors contributed 77.1%to the ozone column concentration change.

ozone column concentrationtemporal and spatial characteristicsinfluencing factorsBRT

王晓红、马明浩、辛守英、李金龙、焦琳琳

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华北理工大学矿业工程学院,河北 唐山 063210

河北省矿区生态修复产业技术研究院,河北 唐山 063210

河北省矿山绿色智能开采技术创新中心,河北 唐山 063210

华北理工大学公共卫生学院,河北 唐山 063210

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臭氧柱浓度 时空特征 影响因素 增强回归树

国家自然科学基金青年科学基金项目河北省自然科学基金面上基金项目河北省高等学校青年拔尖人才项目华北理工大学博士专项经费项目

82003404H2021209008BJK2023010BS201818

2024

环境污染与防治
浙江省环境保护科学设计研究院

环境污染与防治

CSTPCD北大核心
影响因子:0.79
ISSN:1001-3865
年,卷(期):2024.46(6)