Research on meteorological impact factors and generation sensitivity of O3 in Tangshan
Based on the atmospheric pollutant and meteorological observation data of Tangshan City from 2014 to 2022,this study analyzed the spatial and temporal distribution characteristics of O3 pollution in Tangshan City,and used the generalized additive model(GAM)to analyze the impact of meteorological factors on O3 concentration.The EKMA curve drawn based on the WRF-CAMx model discussed the sensitivity of O3 generation in Tangshan City,and proposed the optimal emission reduction ratio of precursor substances to improve environmental benefits.The results showed that① the monthly average concentration of O3 in Tangshan City showed an inverted"V"trend,with high values in June and low values in December,and overall performance in seasonal changes was summer>spring>autumn>winter;the daily variation showed a"single peak"trend,with peak and valley values of O3 concentration occurring at 15:00 and 6:00 respectively;the spatial distribution of O3 concentration decreased from the southeastern coastal area to the north,specifically in the southeastern coastal area>central urban area>northeastern mountainous area>northern area.②The significance of meteorological factors affecting O3 concentration was temperature>solar radiation intensity>relative humidity>atmospheric boundary layer height,and O3 pollution was prone to occur when the boundary layer height and relative humidity were low and the surface solar radiation was high.③In terms of O3 control strategies,the central urban area and surrounding areas of Tangshan City were dominated by VOCs control areas,while the northwest,southeast,and northeast regions were dominated by VOCs and NOx collaborative control areas.For areas under VOCs and NOx collaborative control,it was recommended that the reduction ratio of VOCs and NOx be 1∶1,while for areas under VOCs control,it was recommended that the reduction ratio of VOCs and NOx be 1.5∶1 to maximize environmental benefits.
TangshanO3temporal and spatial distributionmeteorological elementsgeneralized additive model(GAM)WRF-CAMxsensitivity analysis
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万方数据
