Characteristics Of GSR Over Three Major Economic Of China Regions And Its Relationship With O₃ And PM_2.5

Based on the daily radiation datasets from the ground meteorological observation stations and the daily observation data from 2014 to 2016 from China's air quality online monitoring platform,the paper analyzes the long-term sequence changes and the annual and seasonal variations of global solar radiation?GSR?in recent 10 years,and the frequency changes of pollution processes of the maximum 8 hour average ozone?O3₈h_max?and fine particles?PM2.5?in recent 3 years in Beijing-Tianjin-Hebei?BTH?,the Yangtze River Delta?YRD?and the Pearl River Delta?PRD?.The relationship among PM2.5,O3₈h_max and GSR by the classification statistics of different factors and intensity grades are discussed.Using the WRF-Chem model to simulate a double pollution process of PM2.5 and O3,combined with the every three hours of meteorological observation data from weather data platform to quantify the simulation results.The results show that:?1?In the three major economic regions,annual average of GSR is highest in BTH,followed by YRD,and PRD is lowest.among which BTH has undergone mean mutation in 1976;YRD and the PRD have reversed their trends before and after the 90s.GSR in BTH has increased significantly from 2007 to 2016,while spring GSR in BTH and summer GSR in PRD have increased significantly meanwhile.?2?The annual frequency of PM2.5 pollution process in the three major economic regions has been decreasing year by year,and decreasing from north to south.The annual frequency,of O3 pollution process has decreased first and then increased temporally,which in BTH is more than in YRD and PRD spatially.?3?The correlation coefficients between O3₈h_max and GSR in the three economic regions are all above 0.71,and which means a strong positive correlation.The correlation between O3₈h_max and PM2.5 under different GSR in different seasons in the three major economic regions is significant different.It shows a good positive correlation under strong GSR in spring,summer and autumn in BTH,while shows a negative correlation in winter.The correlation is weak in all four seasons in YRD.And summer of PRD shows the most significant positive correlation.The linear fitting effect of O3₈h_max and GSR under different PM2.5 concentrations in the three economic regions is good,reflecting a strong positive correlation.?4?By comparing and analyzing every 3 hour simulations and observations of 2m relative humidity,2m temperature and ground pressure from May 21st to 29th,2015,it is found that the model has the better simulation effect for 2m air temperature with 9%underestimation,and the correlation coefficient between the simulated value and the observed value is 0.88;31%underestimating for 2m relative humidity,and the correlation coefficient is 0.73;and a certain overestimation of ground pressure,the correlation coefficient is 0.73.Comparing the simulated values and observed values of the daily mean value of the three meteorological elements and the daily GSR in the process,it is found that the 2m air temperature and 2m relative humidity are all underestimated,and the correlation coefficients between the simulated values and the observed values are 0.35 and 0.41,respectively.Bad simulation;surface pressure and GSR are overestimated,and the correlation coefficients are 0.92 and 0.73,respectively,and the simulation results are not good.By comparing and analyzing the simulated and observed values of PM2.5 and O3₈h_max,it is found that PM2.5 is underestimated by 17%,the correlation coefficient of the simulated observation is 0.74,O3₈h_max is underestimated by 47%,and the correlation coefficient is 0.81.The simulation reproduces the daily variation characteristics of pollutants,but fails to capture the peaks of PM2.5 and O3 pollution.The simulation results are poor.