Literature DB >> 29734076

Chemical nature of PM2.5 and PM10 in Xi'an, China: Insights into primary emissions and secondary particle formation.

Qili Dai1, Xiaohui Bi2, Baoshuang Liu1, Liwei Li1, Jing Ding1, Wenbin Song3, Shiyang Bi4, Benjamin C Schulze4, Congbo Song1, Jianhui Wu1, Yufen Zhang1, Yinchang Feng1, Philip K Hopke5.   

Abstract

In Xi'an, a city that frequently experiences serious PM pollution in northern China, 1476 PM10 and 1464 PM2.5 valid daily filter samples were collected at six sites from December 2014 to November 2015 and analyzed for 29 species. The annual mean PM10 and PM2.5 concentrations were 149.4 ± 93.1, 108.0 ± 70.9 μg/m3, respectively. Organic carbon (OC) is the predominant PM2.5 component while crustal material predominated in PM10. Sulfate concentrations, which was the largest component in Xi'an PM in previous studies, were lower than nitrate. Winter sulfate, OC, and elemental carbon (EC) have decreased since 2003, while nitrate remained constant in recent years and the ratio of NO3-/SO42- increased from 0.4 in 2006 to 1.3 in 2014. This result suggests that the motor vehicle contribution to PM has increased relative to coal-fired power plant emissions over the past decade. The mass fractions of crustal material, sulfate, and EC in PM2.5 decreased as the PM2.5 concentrations increased from "clean" days (<50 μg/m3) to the highest values, while nitrate significantly increased. Despite forming through secondary reactions, the high concentrations of SOC and SO42- in winter are attributed to primary emissions and particularly to residential heating and cooking with coal. Primary SOC and SO42- accounted for 33% and 42% of their total PM2.5 concentrations in winter, respectively. Therefore, control measures applied to these primary sources can substantially improve air quality.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  Chemical species; PM(2.5); Primary sulfate; Residential coal combustion

Mesh:

Substances:

Year:  2018        PMID: 29734076     DOI: 10.1016/j.envpol.2018.04.111

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  8 in total

1.  Black carbon in surface soil of the Himalayas and Tibetan Plateau and its contribution to total black carbon deposition at glacial region.

Authors:  Sangita Gautam; Fangping Yan; Shichang Kang; Xiaowen Han; Bigyan Neupane; Pengfei Chen; Zhaofu Hu; Mika Sillanpää; Chaoliu Li
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-13       Impact factor: 4.223

2.  A new approach combining a simplified FLEXPART model and a Bayesian-RAT method for forecasting PM10 and PM2.5.

Authors:  Lifeng Guo; Baozhang Chen; Huifang Zhang; Yanhu Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-26       Impact factor: 4.223

3.  Application of land use regression to assess exposure and identify potential sources in PM2.5, BC, NO2 concentrations.

Authors:  Jing Cai; Yihui Ge; Huichu Li; Changyuan Yang; Cong Liu; Xia Meng; Weidong Wang; Can Niu; Lena Kan; Tamara Schikowski; Beizhan Yan; Steven N Chillrud; Haidong Kan; Li Jin
Journal:  Atmos Environ (1994)       Date:  2020-01-17       Impact factor: 4.798

4.  Assessments of Water-Soluble Inorganic Ions and Heavy Metals in Atmospheric Dustfall and Topsoil in Lanzhou, China.

Authors:  Yingquan Li; Baowei Zhao; Kaixiang Duan; Juexian Cai; Wujiang Niu; Xiao Dong
Journal:  Int J Environ Res Public Health       Date:  2020-04-24       Impact factor: 3.390

5.  Effects of Early Pollution Control Measures on Secondary Species of PM2.5 in Jiaozuo, China.

Authors:  Junting Tang; Dangyu Song; Wanwan Ji; Liudan Fan
Journal:  ACS Omega       Date:  2021-01-05

6.  Size distributions and dry deposition fluxes of water-soluble inorganic nitrogen in atmospheric aerosols in Xiamen Bay, China.

Authors:  Shui-Ping Wu; Xiang Li; Yang Gao; Mei-Jun Cai; Chao Xu; James J Schwab; Chung-Shin Yuan
Journal:  J Atmos Chem       Date:  2021-10-11       Impact factor: 3.360

7.  Local and transboundary impacts of PM2.5 sources identified in Seoul during the early stage of the COVID-19 outbreak.

Authors:  Youngkwon Kim; Kwonho Jeon; Jieun Park; Kyuseok Shim; Sang-Woo Kim; Hye-Jung Shin; Seung-Muk Yi; Philip K Hopke
Journal:  Atmos Pollut Res       Date:  2022-07-18       Impact factor: 4.831

8.  High Temporal Resolution Land Use Regression Models with POI Characteristics of the PM2.5 Distribution in Beijing, China.

Authors:  Yan Zhang; Hongguang Cheng; Di Huang; Chunbao Fu
Journal:  Int J Environ Res Public Health       Date:  2021-06-07       Impact factor: 3.390

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.