Literature DB >> 31760616

Characteristics of indoor and outdoor fine particles in heating period at urban, suburban, and rural sites in Harbin, China.

Wenxu Fang1, Weiwei Song2, Liyan Liu1, Guangnian Chen1, Linan Ma1, Yuxuan Liang1, Yujie Xu1, Xueying Wang1, Yehao Ji1, Yu Zhuang1, Amadou Hima Boubacar1, Yifan Li3.   

Abstract

Concurrent indoor-outdoor fine particulate matter (PM2.5) measurements were conducted at urban, suburban, and rural sites in Harbin, a megacity in the northeast of China. Chemical constituents of indoor-outdoor PM2.5 were determined. Infiltration factors (FINF) of all sites were calculated according to the indoor to outdoor (I/O) ratios of PM2.5 based on the regression analysis. Linear discriminant analysis (LDA) is applied to determine the indoor-outdoor relationship. Secondary organic carbon (SOC) was calculated on the basis of organic carbon to elemental carbon (OC/EC) ratios. The mean concentrations of indoor and outdoor PM2.5 were 166.4 ± 32.5 μg/m3 and 228.4 ± 83.7 μg/m3, respectively, during the heating period. OC/EC and potassium ion to elemental carbon (K+/EC) ratios verified that biomass was an important source in Harbin especially for rural sites. The nitrate to sulfate (NO3-/SO42-) ratio indicates the higher contribution of traffic emissions in urban sites. Cr was the only species that exceeded the guidelines of WHO 2002, which was mainly emitted from coal and oil combustion. SOC/OC and NO3-/SO42- ratios, and ion-balanced acidity (the ratio of cation to anion, R+/-) showed a large urban-rural and indoor-outdoor difference. The highest SOC/OC ratio was found at urban sites, up to 38.3% for indoors. SOC/OC ratios and R+/- values of indoor environments were higher, which is attributed to the conducive condition of forming the secondary pollutants during the heating period. The results of LDA indicated that the distributions of the chemical components of PM2.5 at three sites were statistically dissimilar. Graphical abstract.

Entities:  

Keywords:  Chemical composition; Cold region; Fine particle; Indoor–outdoor; Urban–rural

Mesh:

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Year:  2019        PMID: 31760616     DOI: 10.1007/s11356-019-06640-7

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  22 in total

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6.  PM2.5 chemical source profiles for vehicle exhaust, vegetative burning, geological material, and coal burning in Northwestern Colorado during 1995.

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Journal:  Chemosphere       Date:  2001-06       Impact factor: 7.086

7.  Characterization and source apportionment of PM2.5-bound polycyclic aromatic hydrocarbons from Shanghai city, China.

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Journal:  Environ Pollut       Date:  2016-08-20       Impact factor: 8.071

8.  Airborne particulate matter and gaseous air pollutants in residential structures in Lodi province, Italy.

Authors:  A Cattaneo; C Peruzzo; G Garramone; P Urso; R Ruggeri; P Carrer; D M Cavallo
Journal:  Indoor Air       Date:  2011-07-12       Impact factor: 5.770

9.  Chemical characterization and source apportionment of indoor and outdoor fine particulate matter (PM(2.5)) in retirement communities of the Los Angeles Basin.

Authors:  Sina Hasheminassab; Nancy Daher; Martin M Shafer; James J Schauer; Ralph J Delfino; Constantinos Sioutas
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10.  Pulmonary effects of indoor- and outdoor-generated particles in children with asthma.

Authors:  Jane Q Koenig; Therese F Mar; Ryan W Allen; Karen Jansen; Thomas Lumley; Jeffrey H Sullivan; Carol A Trenga; Timothy Larson; L-Jane S Liu
Journal:  Environ Health Perspect       Date:  2005-04       Impact factor: 9.031

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2.  Air Pollution Status in 10 Mega-Cities in China during the Initial Phase of the COVID-19 Outbreak.

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Journal:  Int J Environ Res Public Health       Date:  2021-03-19       Impact factor: 3.390

  2 in total

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