The main element analysis(PCA) model was used to evaluate the kinds of air pollution sources, and the backward trajectory and prospective acute chronic infection origin share factor(PSCF) were used to simulate the transportation trajectory and pollution sources. The results revealed that the PM2.5 concentration in winter season of 2018 ended up being the greatest, increasing by 60.44%, 25.46%, 91.43%, and 21.53% compared to that in 2016, 2017, 2019, and 2020, correspondingly. Into the winter months of 2020, the focus of water-soluble inorganic ions(WSIIs) decreased by 18.86% compared with that in 2016, and WSIIs/PM2.5 decreased to 26.69percent. The PM2.5 concentration(110.20-209.65 μg·m-3) through the night had been more than that within the daytime(95.21-193.00 μg·m-3). The concentration of NO3- and NH4+ increased more at night. On the other hand, the concentration and percentage of Cl-decreased annually. Within the cold temperatures of 2020, the daytime concentrations of K+, Ca2+, Na+, and Mg2+ decreased by 69.72%, 97.10%, 90.91%, and 74.51% compared to compared to 2018, additionally the evening concentrations reduced by 66.67per cent, 95.38%, 91.67%, and 77.78%, respectively. In 2020, the levels of NO3-, SO42-, and NH4+ on polluted days were 4.90, 5.80, and 5.20 times those on non-polluted times, using the largest rise in five years. PCA outcomes showed that the primary resources of air pollution had been additional sources, coal sources, biomass burning resources, and roadway and building dust. The backward trajectory and PSCF analysis outcomes indicated that air pollution transportation carried on to occur between south-central Mongolia and main Inner Mongolia in wintertime and was influenced by the transport between north Henan and Handan and central Hebei and Handan in winter months of 2016 and 2017, whereas the latter had a greater impact in wintertime of 2018-2020.Hourly tracking datasets of PM2.5 mass focus and associated substance compositions were utilized to analyze the variants within their mass concentrations before, during, and after the 7th Military World Games held in Wuhan. Also, the source evaluation had been conducted through PMF with the backward trajectory and focus weighted trajectory cluster evaluation. The research disclosed the variants in PM2.5 compositions and resources around the Wuhan Military Games duration and their reaction to local and surrounding regional control measures. This could easily supply a reference for regional precise prevention and control of PM2.5. Intoxicated by emission decrease measures, PM2.5 mass concentration through the control duration [(31.3±12.0) μg·m-3] reduced by 14.7% compared to that ahead of the control period, whereas the secondary elements were clearly formed, in which sulfate, nitrate, and ammonium(SNA) increased by 25.6% Piperaquine in total. Following the control period, because of the decline in moisture ere were additionally high values of fugitive dust and manufacturing emissions near the Anhui part of the Yangtze River waterway, which reflected the thick distribution of professional activities and road transport across the Yangtze River. After the control duration, the fugitive dust increased by 6.6 times, in addition to resource places were primarily distributed in Xiangyang and Jingmen.Based regarding the PM2.5 concentration and meteorological information of “2+26″ towns and cities, the variations in PM2.5 time show were examined because of the continuous wavelet transform(CWT) and discrete wavelet transform(DWT). Wavelet coherence(WTC) and numerous wavelet coherence(MWC) were used to quantify the reaction oral biopsy commitment between PM2.5 and single/multiple meteorological facets within the time-frequency domain. Partial wavelet coherence(PWC) was familiar with quantitatively evaluate the influence of atmospheric teleconnection factors in the reaction commitment. The outcomes showed that① the concentration of PM2.5 within the “2+26″ locations had the spatial distribution attributes of full of the center area and reduced in the peripheral area. The PM2.5 mutation events had been mainly focused before 2018 and mainly took place cold temperatures if the meteorological circumstances were stable. The annual scale period of 256-512 d was relatively steady, and it also was also the prominent amount of the PM2.5 time series. ② The coherences between PM2.5 and meteorological aspects depended from the time-frequency scale and adjustable combination. At all time-frequency scales, PM2.5 had powerful coherences with general moisture and heat. At small and moderate time-frequency machines, PM2.5 had strong coherences with wind speed. In particular scales, PM2.5 had strong coherences with heat. The blend of precipitation, heat, and general moisture could give an explanation for difference in PM2.5 at all time-frequency scales. ③ At different time-frequency machines, the enhancement/weakening effects of atmospheric teleconnection aspects on the reaction commitment weren’t exactly the same. At all time-frequency scales, the El Niño-Southern Oscillation(ENSO) had a larger effect on the response commitment between PM2.5 and precipitation/temperature, in addition to Pacific decadal oscillation(PDO) had a larger effect on the response commitment between PM2.5 and general humidity/wind speed. These outcomes supply research for regional polluting of the environment control.Meteorological conditions perform a vital role when you look at the incident and evolution of atmospheric complex pollution.