title: [Pollution Level and Source Apportionment of Atmospheric Particles PM₂.₅ in Southwest Suburb of Chengdu in Spring].
abstract: In order to understand the characteristics of PM₂.₅ pollution in the atmosphere of Chengdu southwest suburb, PM₂.₅ particles in Chengdu southwest suburb were collected and analyzed from March 18 to March 31st, 2015. The results showed that the daily average concentration of PM₂.₅ in the southwest suburb of Chengdu reached 121.21 µg · m⁻³, and the average daily concentration of 24 samples in 31 PM₂.₅ samples was over 75 µg · m⁻³, the daily excessive rate was 77%, indicating the PM₂.₅ pollution in the study area was serious in March. When studying the relationship between atmospheric and meteorological factors, it was found that there was a significant index correlation between PM₂.₅ concentration and atmospheric visibility, and it had a positive correlation with temperature and humidity, but the correlation was not obvious. NH₄⁺ (16.24%), SO₄²- (12.58%) and NO₃⁻ (9.91%) were dominant in PM₂.₅ The ratio of NO₃⁻/SO₄²⁻ was 0.77, which indicated that the pollution of stationary sources in the southwest suburb was more severe than that of mobile sources. Organic carbon (OC)/elemental carbon (EC) ratios were higher than 2, which indicated the existence of second organic carbon (SOC). Using OC/EC ratio method to estimate the concentration of SOC, it was found that the average concentration of SOC in the southwest suburb of Chengdu in March was 3.49 µ · m⁻³, and the contribution rate of OC was 20.6%, which showed that the main source of OC in the southwest suburb of Chengdu was primary discharge. The correlation analysis of OC and EC showed that the correlation coefficient reached 0.95, indicating that the OC and EC sources were similar and relatively stable, and there was a great impact of local source emissions on Chengdu southwest suburb in spring, and primary discharge played a dominant role, while the contribution of SOC to OC was relatively small, which was consistent with the SOC characteristics obtained by estimation. Using principal component analysis method to analyze the sources of PM₂.₅ in the southwest of Chengdu, it was found that the main pollution sources of PM₂.₅ in southwest suburb of Chengdu were coal burning and biomass burning, secondary nitrate/sulfate, soil and dust, vehicle emissions, electronic production source, and mechanical processing source.
authors: Yu
authors: Y
authors: Lin
authors: Zhi-xiang
authors: ZX
authors: Ye
authors: Huai-jin
authors: HJ
authors: Yang
authors: Ju
authors: J
authors: Zhang
authors: Wei-wen
authors: WW
authors: Yin
authors: Xiao-fen
authors: XF
authors: Li
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D001272:Atmosphere; D018533:Biomass; D002244:Carbon / Q000032:analysis; D002681:China; D003031:Coal; D004391:Dust; D004784:Environmental Monitoring; D006813:Humidity; D010316:Particle Size; D052638:Particulate Matter / Q000032:analysis*; D012621:Seasons; D013696:Temperature; D001335:Vehicle Emissions
chemical_list: D000393:Air Pollutants; D003031:Coal; D004391:Dust; D052638:Particulate Matter; D001335:Vehicle Emissions; D002244:Carbon