Literature DB >> 27196989

Long-term trends of chemical characteristics and sources of fine particle in Foshan City, Pearl River Delta: 2008-2014.

Jihua Tan1, Jingchun Duan2, Yongliang Ma3, Kebin He4, Yuan Cheng4, Si-Xin Deng5, Yan-Ling Huang5, Shu-Ping Si-Tu5.   

Abstract

Foshan is a major international ceramic center and the most polluted city in the Pearl River Delta (PRD). Here we present the results of the first long-term PM2.5 (particles <2.5μm) sampling and chemical characterization study of the city. A total of 2774 samples were collected at six sites from 2008 to 2014, and analyzed for water soluble species, elements and carbonaceous species. The major constituents of PM2.5 were sulfate, OC (Organic Carbon), nitrate, ammonium and EC (Elemental Carbon), which accounted for 50%-88% of PM2.5. PM2.5 and the most abundant chemical species decreased from 2008 to 2011, but rebounded in 2012-2013. After 2008, the chemical composition of PM2.5 changed dramatically due to the implementation of pollution control measures. From 2008 to 2011, SO4(2-) and NO3(-) were the two largest components; subsequently, however, OC was the largest component. The respective contributions of SO4(2-), NO3(-) and OC to the sum of water soluble species and carbonaceous species were 30.5%, 22.9% and 19.9% in 2008; and 20.2%, 16.5% and 30.2% in 2014. Distinct differences in nitrate and sulfate, and in mass ratio [NO3(-)]/[SO4(2-)] imply that mobile sources tended to more important in Foshan during 2012-2014. The results indicate that pollution control measures implemented during 2008-2014 had a large effect on anthropogenic elements (Pb, As, Cd, Zn and Cu) and water soluble species, but little influence on crustal elements (V, Mn, Ti, Ba and Fe) and carbonaceous species. The PMF method was used for source apportionment of PM2.5. Industry (including the ceramic industry and coal combustion), vehicles and dust were the three most important sources and comprised 39.2%, 20.0% and 18.4% of PM2.5 in 2008, respectively. However, secondary aerosols, vehicles and industry were the three most important sources and comprised 29.5%, 22.4% and 20.4% of PM2.5 in 2014, respectively. During the seven year study interval, the contributions of primary sources (industry and dust) decreased significantly, but secondary sources increased dramatically. Industry, dust and vehicles contributed 36.6μgm(-3), 13.9μgm(-3), and 9.2μgm(-3) to the reduction of PM2.5, respectively.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chemical species; Long-term; PM(2.5); Pearl River delta; Source apportionment

Mesh:

Substances:

Year:  2016        PMID: 27196989     DOI: 10.1016/j.scitotenv.2016.05.059

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  7 in total

1.  Long-term spatiotemporal variations of atmospheric sulfur, nitrogen and particle pollutants in Chongqing, southwest China: implication of industrial transfer.

Authors:  Ying Peng; Jian Cui; Hongyun Zhu; Youhui Cao; Ke Du; Dongrui Yao
Journal:  Environ Sci Pollut Res Int       Date:  2019-01-26       Impact factor: 4.223

2.  Metabolomics analysis of a mouse model for chronic exposure to ambient PM2.5.

Authors:  Yanyi Xu; Wanjun Wang; Ji Zhou; Minjie Chen; Xingke Huang; Yaning Zhu; Xiaoyun Xie; Weihua Li; Yuhao Zhang; Haidong Kan; Zhekang Ying
Journal:  Environ Pollut       Date:  2019-02-01       Impact factor: 8.071

3.  Metals in soils from a typical rapidly developing county, Southern China: levels, distribution, and source apportionment.

Authors:  Li-Mei Cai; Hui-Hao Jiang; Jie Luo
Journal:  Environ Sci Pollut Res Int       Date:  2019-05-08       Impact factor: 4.223

4.  Exposure to concentrated ambient PM2.5 alters the composition of gut microbiota in a murine model.

Authors:  Wanjun Wang; Ji Zhou; Minjie Chen; Xingke Huang; Xiaoyun Xie; Weihua Li; Qi Cao; Haidong Kan; Yanyi Xu; Zhekang Ying
Journal:  Part Fibre Toxicol       Date:  2018-04-17       Impact factor: 9.400

5.  Identification of heavy metal pollutants and their sources in farmland: an integrated approach of risk assessment and X-ray fluorescence spectrometry.

Authors:  Xiaosong Tian; Qing Xie; Min Fan; Guanqun Chai; Guanghui Li
Journal:  Sci Rep       Date:  2022-07-16       Impact factor: 4.996

6.  Pollution Assessment and Source Apportionment of Soil Heavy Metals in a Coastal Industrial City, Zhejiang, Southeastern China.

Authors:  Shiyi Wang; Yanbin Zhang; Jieliang Cheng; Yi Li; Feng Li; Yan Li; Zhou Shi
Journal:  Int J Environ Res Public Health       Date:  2022-03-11       Impact factor: 3.390

7.  Using Multisource Data to Assess PM2.5 Exposure and Spatial Analysis of Lung Cancer in Guangzhou, China.

Authors:  Wenfeng Fan; Linyu Xu; Hanzhong Zheng
Journal:  Int J Environ Res Public Health       Date:  2022-02-24       Impact factor: 3.390

  7 in total

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