SPATIAL AND SEASONAL VARIATION OF PM2.5 / PM10 RATIO IN TEHRAN, IRAN, DURING 2016 - 2017
Abstract
Introduction: PM2.5 is one of the most important air pollutants, affecting human health by penetrating in to the alveolar area. Thus prediction of PM2.5 concentration and its behavior and also its seasonal and spatial variation are necessary for public health protection.
Materials and methods: For this purpose, PM2.5/ PM10 was calculated in different seasons and different stations in Tehran city during 2016. Also the PM2.5/PM10 ratio was compared in different area of the city. Then achieved results were analyzed by R.
Results: Seasonal variation of this ratio was significant. It shows that the maximum and minimum value of PM2.5/ PM10 was in winter and summer, respectively. It seems it is due to the incomplete combustion of fuel in winter. Also we found that the PM2.5/ PM10 ratio in the western area of city is significantly higher than the east. It can be due to the pollutants transmission from the town located in close proximity to the west of Tehran.
Conclusions: PM2.5 / PM10 ratio can be different in various situations. It can be affected by the several factors such as pollutant sources, meteorological and seasonal factors and also traffic pattern. The PM2.5/PM10 ratio can alert corresponding agencies for prediction the air quality that happens every year periodically.
Bell ML, Dominici F, Ebisu K, Zeger SL, Samet JM.
Spatial and temporal variation in PM2. 5 chemical composition
in the United States for health effects studies.
Environmental health perspectives. 2007;115(7):989.
Nowak DJ, Hirabayashi S, Bodine A, Hoehn R. Modeled
PM2. 5 removal by trees in ten US cities and
associated health effects. Environmental Pollution.
;178:395-402.
Pui DY, Chen S-C, Zuo Z. PM2. 5 in China: Measurements,
sources, visibility and health effects, and mitigation.
Particuology. 2014;13:1-26.
Janssen N, Hoek G, Simic-Lawson M, Fischer P, Keuken
M, Atkinson R, et al. Black carbon as an additional
indicator of the adverse health effects of airborne particles
compared with PM10 and PM2. 5. National Institute
of Environmental Health Science; 2011.
Monn C, Becker S. Cytotoxicity and induction of proinflammatory
cytokines from human monocytes exposed
to fine (PM2. 5) and coarse particles (PM10–2.5) in outdoor
and indoor air. Toxicology and applied pharmacology.
;155(3):245-52.
Franklin M, Koutrakis P, Schwartz J. The role of particle
composition on the association between PM2.
and mortality. Epidemiology (Cambridge, Mass).
;19(5):680.
Atkinson R, Kang S, Anderson H, Mills I, Walton H.
Epidemiological time series studies of PM2. 5 and daily mortality and hospital admissions: a systematic
review and meta-analysis. Thorax. 2014:thoraxjnl-
-204492.
Kloog I, Koutrakis P, Coull BA, Lee HJ, Schwartz J.
Assessing temporally and spatially resolved PM2. 5
exposures for epidemiological studies using satellite
aerosol optical depth measurements. Atmospheric environment.
;45(35):6267-75.
Hueglin C, Gehrig R, Baltensperger U, Gysel M, Monn
C, Vonmont H. Chemical characterisation of PM2. 5,
PM10 and coarse particles at urban, near-city and rural
sites in Switzerland. Atmospheric Environment.
;39(4):637-51.
Querol X, Alastuey A, Ruiz C, Artiñano B, Hansson
H, Harrison R, et al. Speciation and origin of PM10 and
PM2. 5 in selected European cities. Atmospheric Environment.
;38(38):6547-55.
Wang X, Bi X, Sheng G, Fu J. Chemical composition
and sources of PM10 and PM2. 5 aerosols in Guangzhou,
China. Environmental Monitoring and Assessment.
;119(1):425-39.
Marcazzan G, Ceriani M, Valli G, Vecchi R. Source
apportionment of PM10 and PM2. 5 in Milan (Italy)
using receptor modelling. Science of the Total Environment.
;317(1):137-47.
Xu G, Jiao L, Zhang B, Zhao S, Yuan M, Gu Y, et al.
Spatial and temporal variability of the PM2. 5/PM10
ratio in Wuhan, Central China. Aerosol and Air Quality
Research. 2017;17(3):741-51.
Sun Y, Zhuang G, Tang A, Wang Y, An Z. Chemical
characteristics of PM2. 5 and PM10 in haze− fog episodes
in Beijing. Environmental science & technology.
;40(10):3148-55.
Marcazzan G, Ceriani M, Valli G, Vecchi R. Source
apportionment of PM10 and PM2. 5 in Milan (Italy)
using receptor modelling. Science of the Total Environment.
;317(1-3):137-47.
Amini H, Hosseini V, Schindler C, Hassankhany H,
Yunesian M, Henderson SB, et al. Spatiotemporal description
of BTEX volatile organic compounds in a
Middle Eastern megacity: Tehran Study of Exposure
Prediction for Environmental Health Research (Tehran
SEPEHR). Environmental Pollution. 2017;226:219-29.
Fazlzadeh Davil M, Rostami R, Zarei A, Feizizadeh
M, Mahdavi M, Mohammadi A, et al. A survey of 24
hour variations of BTEX concentration in the ambient
air of Tehran. Journal of Babol University of Medical
Sciences. 2012:50-5.
Yang H, Yu JZ, Ho SSH, Xu J, Wu W-S, Wan CH, et
al. The chemical composition of inorganic and carbonaceous
materials in PM2. 5 in Nanjing, China. Atmospheric
Environment. 2005;39(20):3735-49.
| Files | ||
| Issue | Vol 2 No 4 (2017): Autumn 2017 | |
| Section | Original Research | |
| Keywords | ||
| PM2.5 / PM10 air pollution prediction | ||
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