Spacialtemporal Variations and Source Analysis of Absorbing Aerosols and Tropospheric Ozone in the Huanghuaihai Region
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(O3)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 O3 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 O3 concentration increased with latitude.The seasonal variations show higher AAI levels in winter,followed by autumn and spring,and lower levels in summer.Regarding O3,higher concentrations were observed in spring,followed by winter and summer,and lower levels in autumn.The spatial relationship between AAI and O3 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 O3.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.
the Huanghuaihai regionAAIO3spatiotemporal distributionpotential source area
NETL
NSTL
万方数据
