黄淮海地区吸收性气溶胶和对流层臭氧时空变化及来源解析

Spacialtemporal Variations and Source Analysis of Absorbing Aerosols and Tropospheric Ozone in the Huanghuaihai Region

全面掌握黄淮海地区吸收性气溶胶和臭氧的时空分布和潜在源区,对推动区域大气污染联防联控有重要意义。基于OMI卫星数据,采用空间自相关、空间相关性、GTWR模型分析黄淮海地区2005~2021年17年间的吸收性气溶胶指数(absorptive aerosol index,AAI)、对流层O_(3)浓度的时空变化特征,并利用后向轨迹模型对济南市进行模拟,探究其污染物的潜在源区。结果表明:黄淮海地区AAI和O_(3)月均值呈现显著的周期性,以年为周期,呈现“W”特征;AAI年空间格局为中间高,四周低,O_(3)浓度空间格局随着纬度的升高而升高;AAI四季变化为冬季高,秋春次之,夏季低;O_(3)四季变化春季高,冬夏次之,秋季低;AAI和O_(3)的空间关系大致以北纬35°线来划分,北纬35°以北,二者呈现正相关关系,北纬35°以南,二者呈负相关关系,气温和降水对AAI和O_(3)都有影响作用;济南市四季轨迹聚类变化明显,潜在源区计算结果表明影响济南空气质量的污染物多为本地排放,同时还受西北方向长距离气流和海洋气流的影响。气溶胶和臭氧的时空变化综合分析结果可为当地制定减排策略提供数据支撑。

It is important to comprehensively understand the spatiotemporal distribution and potential source areas of absorptive aerosols and ozone in the Huanghuaihai region to promote joint prevention and control of regional air pollution.Utilizing OMI satellite data and employing spatial autocorrelation,spatial correlation,and GTWR model analysis,the study examined the spatiotemporal characteristics of the absorptive aerosol index(AAI)and tropospheric ozone(O_(3))concentrations in the Huanghuaihai region from 2005 to 2021,over a span of 17 years.Additionally,it simulated Jinan City using a backward trajectory model to explore the potential source areas of pol-lutants.The results indicate that the monthly averages of AAI and O_(3)concentrations in the Huanghuaihai region exhibit significant peri-odicity on an annual basis,demonstrating a"W"feature.The spatial pattern of AAI on an annual basis is high in the center and low in the surrounding areas,while the spatial pattern of O_(3)concentration increased with latitude.The seasonal variations show higher AAI levels in winter,followed by autumn and spring,and lower levels in summer.Regarding O_(3),higher concentrations were observed in spring,followed by winter and summer,and lower levels in autumn.The spatial relationship between AAI and O_(3)was broadly divided by the 35°N latitude line.North of 35°N,they show a positive correlation,whereas south of 35°N,they exhibit a negative correlation.Temperature and precipitation affected both AAI and O_(3).Jinan City displayed distinct seasonal trajectory clustering.The calculated re-sults of potential source areas indicate that pollutants affecting Jinan's air quality were largely from local emissions,while also influ-enced by long-distance airflow from the northwest and marine currents.Comprehensive spatiotemporal analysis of aerosols and ozone can provide valuable data support for local emission reduction strategies.