Secondary inorganic ions, the primary components of atmospheric PM2.5, tend to be poorly absorbed antibiotics a dominant contributor to haze development. The detail by detail traits and main generation device of additional inorganic ions in PM2.5 are uncertain into the Changsha-Zhuzhou-Xiangtan City Group, which is suffering from extreme haze air pollution, particularly in the autumn and wintertime months. For our study, we accumulated PM2.5 examples in November 2020 and January 2021 from four urban websites within the Changsha-Zhuzhou-Xiangtan City Group. Additional inorganic components such as SO42-, NO3-, and NH4+ in PM2.5 were quantified. The typical values(μg·m-3) of ρ(SO42-), ρ(NO3-), and ρ(NH4+) in autumn and winter season were(5.2±2.5) and(7.9±4.8),(4.1±2.2) and(7.2±4.2), and(17.1±10.5) and(7.8±5.2), correspondingly. During the hefty haze pollution activities in wintertime, the sum ρ(SO42-), ρ(NO3-), and ρ(NH4+)(SNA) added 72.7% to your development of PM2.5 mass concentration, and ρ(NO3-) accounted for 41.2percent. This result recommended that the generation of NO3- was the kegeneration pathways of SO42- in autumn and winter months when you look at the Changsha-Zhuzhou-Xiangtan City Group. In comparison to that in autumn, the higher AWC was more conducive to forming SO42-, which generated higher SOR in winter.Based in the PM1 size focus information from all the air quality monitoring channels in Asia from 2014 to 2017, the temporal and spatial circulation characteristics of PM1 focus had been studied using the time series statistical and spatial hierarchical clustering practices, and also the PM1 spatiotemporal evolution characteristics were uncovered. Along with AOD data associated with the MODIS remote-sensing satellite, the temporal and spatial variation in PM1-AOD correlation had been examined on an excellent scale. The outcome showed that, from 2014 to 2017, the annual average PM1 concentration in Asia decreased annually, the regular PM1 concentration showed the qualities of “high in winter months and lower in summer,” as well as the monthly average PM1 concentration showed a “U”-shaped variation. An “M”-shaped PM1 variation structure was presented before and after christmas. Weekly variation indicated that high PM1 values occurred on Mondays and Fridays, and reduced people occurred on Sundays. In line with the spatial clustering technique, the national average annual PM1 focus in Asia was divided into seven categories, in addition to total spatial circulation pattern was “high into the east and lower in the west and saturated in the north and lower in the south.” The best plus the most affordable values of average PM1 concentration occurred in central China(54.59 μg·m-3) as well as in Xinjiang-Qinghai-Xizang(11.37 μg·m-3), correspondingly. The PM1-AOD relationship had been definitely correlated all together, the highest correlation coefficient was 0.55 in main China, and the most affordable price was 0.36 in main and south China.Based from the tracking information of five pollutants in 168 key places under polluting of the environment prevention and control in Asia from 2015 to 2020, utilising the MAKESENS model together with aggregate threat index(ARI), this research quantitatively examined the spatial and temporal circulation traits of polluting of the environment and health risks in Asia as well as the six metropolitan agglomerations. The outcomes revealed that① PM2.5 pollution was probably the most serious pollution in Chinese key metropolitan areas. Only 15% for the towns’ six-year normal concentrations of PM2.5 reached the National Secondary Standard, accompanied by that of NO2; 77% Screening Library high throughput for the locations’ six-year typical levels of NO2 achieved the National Secondary traditional. The urban agglomerations of Beijing-Tianjin-Hebei and Fenwei simple had probably the most serious smog, and the six-year normal concentrations of PM2.5, SO2, CO, and NO2 were more than those of various other urban agglomerations. ② The concentrations of PM2.5, SO2, CO, and NO2 in key towns of China showed a decreasing trend, whereas the co of urban air pollution control in China through the 13th Five-Year Plan period.The waste sector is a substantial way to obtain greenhouse gas(GHG) emissions and making clear its emission trends and characteristics could be the idea for formulating GHG emission reduction techniques. Using the IPCC inventory design, the GHG emissions through the municipal solid waste(MSW) sector in China during 2010 to 2020 were believed. The results revealed that GHG emissions increased from 42.5 Mt in 2010 to 75.3 Mt in 2019, then decreased to 72.1 Mt in 2020. MSW landfills were the main way to obtain GHG emissions. More, utilizing the rise in the percentage of waste incineration, the proportion of GHG incineration increased quickly from 16.5% this season to 60.1per cent in 2020. With regards to local distribution, East and Southern Asia were the regions with the highest emissions, and Guangdong, Shandong, Jiangsu, and Zhejiang were the provinces utilizing the biggest GHG emissions. Applying MSW category, altering the MSW disposal modes from landfilling to incineration, enhancing the LFG collection efficiency of landfills, and making use of biological practical products whilst the cover soil to bolster the methane oxidation performance are the primary actions to accomplish GHG emission lowering of waste sectors.To comprehend the changes within the the different parts of volatile natural compounds(VOCs), the contribution proportion of each and every aspect of ozone, in addition to VOCs resources, we monitored the VOCs for a-year in Lishui. The outcome revealed that theρ(TVOC) had been 223.46 μg·m-3, ρ(alkanes) had been 49.45 μg·m-3(22.3%), ρ(OVOCs) had been 50.63 μg·m-3(22.66%), ρ(halogenated hydrocarbons) was 64.73 μg·m-3(28.95%), ρ(aromatic hydrocarbons) was 35.46 μg·m-3(15.87%), ρ(alkenes) had been 18.26 μg·m-3(8.19%), and ρ(others) had been 4.9 μg·m-3(2.2%). ρ(TVOC) had been greater in summer(263.75 μg·m-3) and reduced in phenolic bioactives winter(187.2 μg·m-3), with 246.11 μg·m-3 in springtime and 204.77 μg·m-3 in autumn. The everyday concentration of VOCs showed two peaks, one from 900 to 1000 and another from 1400 to 1500, together with large concentration ended up being mainly based in the metropolitan main road location with dense personal activities.