Literature DB >> 28826056

Spatial, seasonal and diurnal patterns in physicochemical characteristics and sources of PM2.5 in both inland and coastal regions within a megacity in China.

Yingze Tian1, Jiayuan Liu1, Suqin Han2, Xurong Shi1, Guoliang Shi3, Hong Xu1, Haofei Yu4, Yufen Zhang1, Yinchang Feng1, Armistead G Russell5.   

Abstract

Day and night PM2.5 samples were collected at coastal and inland stations in a megacity in China. Temporal, spatial, and directional characteristics of PM2.5 concentrations and compositions were investigated. Average PM2.5 concentration was higher at inland (153.28μg/m3) than at coastal (114.46μg/m3). PM2.5 were significantly influenced by season and site but insignificantly by diurnal pattern. Sources were quantified by a two-way and a newly developed three-way receptor models conducted using ME2. Secondary sulfate and SOC (SS&SOC, 25% and 23%), coal and biomass burning (CC&BB, 20% and 21%), crustal and cement dust (CRD&CED, 19% and 21%), secondary nitrate (SN, 13% and 18%), vehicular exhaust (VE, 14% and 17%), and sea salt (SEA, 6% and 2%) were major sources for coastal and inland. Different mechanisms of heavy pollution were observed: heavy PM2.5 caused by primary sources and secondary sources showed similar frequency at coast, while most of heavy pollutions at inland site might be associated with the elevation of secondary particles. For spatial characteristics, SS&SOC, CRD&CED contributions were higher at coastal; SN and VE presented higher fractions at inland. Higher SS&SOC, SN and CC&BB in winter might be attributed to intensive coal combustion for residential warming and to stable meteorological conditions.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chemical composition; ME2; PM(2.5); Source; Three-way factor analysis model

Year:  2017        PMID: 28826056     DOI: 10.1016/j.jhazmat.2017.08.015

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  4 in total

1.  Contrasting Trends of Surface PM2.5, O3, and NO2 and Their Relationships with Meteorological Parameters in Typical Coastal and Inland Cities in the Yangtze River Delta.

Authors:  Min Lv; Zhanqing Li; Qingfeng Jiang; Tianmeng Chen; Yuying Wang; Anyong Hu; Maureen Cribb; Aling Cai
Journal:  Int J Environ Res Public Health       Date:  2021-11-26       Impact factor: 3.390

2.  The effect of joint prevention and control plan on atmospheric pollution governance and residents' willingness to pay.

Authors:  Shian Zeng; Chengdong Yi
Journal:  Environ Dev Sustain       Date:  2022-09-11       Impact factor: 4.080

3.  Exposure and Inequality of PM2.5 Pollution to Chinese Population: A Case Study of 31 Provincial Capital Cities from 2000 to 2016.

Authors:  Peiyue Tu; Ya Tian; Yujia Hong; Lu Yang; Jiayi Huang; Haoran Zhang; Xin Mei; Yanhua Zhuang; Xin Zou; Chao He
Journal:  Int J Environ Res Public Health       Date:  2022-09-25       Impact factor: 4.614

4.  An investigation of the impacts of a successful COVID-19 response and meteorology on air quality in New Zealand.

Authors:  Nick Talbot; Akika Takada; Andrew H Bingham; Dan Elder; Samantha Lay Yee; Nancy E Golubiewski
Journal:  Atmos Environ (1994)       Date:  2021-03-11       Impact factor: 4.798

  4 in total

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