首页|期刊导航|生态环境学报|基于OMI的江西省臭氧柱浓度时空分布特征及影响因素研究

基于OMI的江西省臭氧柱浓度时空分布特征及影响因素研究OA

Spatiotemporal Distribution of Ozone Column Concentrations and Associated Affecting Factors in Jiangxi Province Based on OMI

中文摘要英文摘要

为全面了解江西省臭氧(O3)长期时空分布特征,基于臭氧监测仪(OMI)整层O3柱浓度数据以及臭氧监测仪-微波临边探测仪(OMI-MLS)对流层O3柱浓度数据,利用相关性分析、趋势分析法分析了江西省2005-2023年整层O3 柱浓度和2005-2020 年对流层O3柱浓度时空分布特征及影响因素.结果表明,时间上,2005-2023年江西省整层O3柱浓度呈波动上升的变化态势,年均值为273 DU,年均增长0.39 DU,最低值、最高值分别出现在2008、2022 年;2019-2023年期间整层 O3 柱浓度上升速率是 2005-2018 年的 5 倍多;季节差异明显,均值为春季>夏季>秋季>冬季.空间上,江西省整层O3 柱浓度高值区主要位于鄱阳湖平原一带的九江、南昌和上饶西部所在的赣北低海拔地区,低值区集中在赣南地区.2005-2020年对流层O3柱浓度呈上升趋势,年均增长0.29 DU,2019年达到峰值;季均值为春季>夏季>秋季>冬季.从气象因素分析来看,整层O3柱浓度、对流层O3柱浓度与气温、降水量、日照时数呈显著正相关,与气温正相关性最好,与气压呈显著负相关;从人为因素分析来看,两者与生产总值、第一、二、三产业及能源消耗总量均呈显著正相关,与第二产业正相关性最好,与NOx排放量呈显著负相关.

This study investigates the long-term spatiotemporal distribution of atmospheric ozone in Jiangxi Province,China.We examined the spatial and temporal variations of total ozone column concentrations(2005-2023)and tropospheric ozone column concentrations(2005-2020)and associated affecting factors,using satellite data from the Ozone Monitoring Instrument(OMI)and the OMI-Microwave Limb Sounder(OMI-MLS).Results indicate that the atmospheric O3 column concentrations in Jiangxi Province demonstrated a fluctuating upward trend from 2005 to 2023,with an annual mean of 273 DU and a growth rate of 0.39 DU·a-1.Lowest and highest O3 concentrations were observed in 2008 and 2022,respectively.Notably,the rate of increase during 2019-2023 was over five times higher than during 2005-2018.Seasonal analysis showed peak O3 levels in spring,followed by summer and autumn.Spatially,elevated O3 column concentrations were predominantly located in the low-altitude northern regions of Jiangxi,including Jiujiang,Nanchang,and western Shangrao along the Poyang Lake plain,while low O3 concentrations dominated over southern Jiangxi.Tropospheric O3 column concentrations displayed an overall upward trend from 2005 to 2020,with an annual growth rate of 0.29 DU·a-1 and reaching its peak in 2019.Seasonal patterns resembled those of total O3 levels.Correlation analysis revealed that both atmospheric O3 and tropospheric O3 column concentrations were significantly negatively correlated with pressure,while showing positive correlations with air temperature,precipitation,and sunshine duration,with temperature showing the strongest positive correlation.Furthermore,both O3 levels exhibited noticeable positive correlations with regional economic indicators(gross product and primary,secondary,and tertiary industries)and total energy consumption,with secondary industry showing the strongest positive correlation.However,it showed a negative correlation with NOx emissions.

CHEN Yanling;ZHOU Yuan;QIAN Yue;WU Yanliang;DENG Lichen;WU Qiong;ZHAN Longfei

Jiangxi Ecological Meteorology Center,Nanchang 330096,P.R.China||Nanchang National Climate Observatory,Nanchang 330043,P.R.ChinaJiangxi Ecological Meteorology Center,Nanchang 330096,P.R.China||Nanchang National Climate Observatory,Nanchang 330043,P.R.ChinaJiangxi Ecological Meteorology Center,Nanchang 330096,P.R.China||Nanchang National Climate Observatory,Nanchang 330043,P.R.ChinaYichun Meteorological Bureau of Jiangxi Province,Yichun 336000,P.R.ChinaJiangxi Ecological Meteorology Center,Nanchang 330096,P.R.China||Nanchang National Climate Observatory,Nanchang 330043,P.R.ChinaJiangxi Provincial Climate Center,Nanchang 330096,P.R.ChinaJiangxi Provincial Climate Center,Nanchang 330096,P.R.China

资源环境

OMIO3柱浓度时空分布特征影响因素江西省

OMIozone column concentrationsspatiotemporal distributionaffecting factorsJiangxi Province

《生态环境学报》 2026 (1)

99-111,13

华东区域气象科技协同创新基金合作项目(QYHZ202317)吉安市生态气象重点实验室开放式研究基金项目(2023JEM101)吉安市生态气象重点实验室开放式研究基金(2024JEM224)

10.16258/j.cnki.1674-5906.2026.01.009

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