Ambient air quality and indoor exposure: PM2.5 implications for health in Suva Fiji

C. F. Isley, P. F. Nelson, M. P. Taylor, A. Morrison, A. J. Atanacio, E. Stelcer, D. D. Cohen

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Air quality data collected at urban background locations is often assumed to represent a wider urban area. Localised sources and conditions can however cause variation between different microenvironments in the same urban area. Differences in PM2.5 (particulate less than 2.5 μm) composition may also have greater implications for health outcomes than PM2.5 concentration considered alone. Samples of PM2.5 were collected for three outdoor and nine indoor microenvironments across Suva, Fiji in 2014/15. Elemental concentration data have been used to estimate source concentrations for PM2.5 for each site. The 12 sites are compared to concurrent ambient measurements at a fixed monitoring site in Suva City and to ambient photometer data. The objective is to determine how well ambient measurements represent air quality across the city, including indoor environments. Surveys were used to determine how much time is spent indoors and outdoors by Suva residents to ascertain potential exposure risks. Results show that PM2.5 concentration and composition varies significantly between the different microenvironments studied. Indoor air quality was affected by both ambient air and indoor sources. Fuel used for cooking, particularly wood and kerosene, influenced indoor PM2.5 and black carbon. Given that the survey showed that people spend more time indoors than outdoors, as experienced elsewhere in the world, ambient measures of PM2.5 concentration and calculated related health risk does not accurately reflect exposures arising from city indoor microenvironments.
LanguageEnglish
Pages35-43
Number of pages9
JournalAir Quality and Climate Change
Volume52
Issue number1
Publication statusPublished - Mar 2018

Fingerprint

ambient air
air quality
urban area
photometer
indoor air
black carbon
health risk
monitoring
health
city
exposure
indoor environment
risk exposure
world
kerosene

Keywords

  • indoor
  • ambient
  • microenvironment

Cite this

@article{630135ac0657488483957ec08d3b1f38,
title = "Ambient air quality and indoor exposure: PM2.5 implications for health in Suva Fiji",
abstract = "Air quality data collected at urban background locations is often assumed to represent a wider urban area. Localised sources and conditions can however cause variation between different microenvironments in the same urban area. Differences in PM2.5 (particulate less than 2.5 μm) composition may also have greater implications for health outcomes than PM2.5 concentration considered alone. Samples of PM2.5 were collected for three outdoor and nine indoor microenvironments across Suva, Fiji in 2014/15. Elemental concentration data have been used to estimate source concentrations for PM2.5 for each site. The 12 sites are compared to concurrent ambient measurements at a fixed monitoring site in Suva City and to ambient photometer data. The objective is to determine how well ambient measurements represent air quality across the city, including indoor environments. Surveys were used to determine how much time is spent indoors and outdoors by Suva residents to ascertain potential exposure risks. Results show that PM2.5 concentration and composition varies significantly between the different microenvironments studied. Indoor air quality was affected by both ambient air and indoor sources. Fuel used for cooking, particularly wood and kerosene, influenced indoor PM2.5 and black carbon. Given that the survey showed that people spend more time indoors than outdoors, as experienced elsewhere in the world, ambient measures of PM2.5 concentration and calculated related health risk does not accurately reflect exposures arising from city indoor microenvironments.",
keywords = "indoor, ambient, microenvironment",
author = "Isley, {C. F.} and Nelson, {P. F.} and Taylor, {M. P.} and A. Morrison and Atanacio, {A. J.} and E. Stelcer and Cohen, {D. D.}",
year = "2018",
month = "3",
language = "English",
volume = "52",
pages = "35--43",
journal = "Air Quality and Climate Change",
issn = "1836-5876",
publisher = "Clean Air Society of Australia and New Zealand",
number = "1",

}

Ambient air quality and indoor exposure : PM2.5 implications for health in Suva Fiji. / Isley, C. F.; Nelson, P. F.; Taylor, M. P.; Morrison, A.; Atanacio, A. J.; Stelcer, E.; Cohen, D. D.

In: Air Quality and Climate Change, Vol. 52, No. 1, 03.2018, p. 35-43.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Ambient air quality and indoor exposure

T2 - Air Quality and Climate Change

AU - Isley, C. F.

AU - Nelson, P. F.

AU - Taylor, M. P.

AU - Morrison, A.

AU - Atanacio, A. J.

AU - Stelcer, E.

AU - Cohen, D. D.

PY - 2018/3

Y1 - 2018/3

N2 - Air quality data collected at urban background locations is often assumed to represent a wider urban area. Localised sources and conditions can however cause variation between different microenvironments in the same urban area. Differences in PM2.5 (particulate less than 2.5 μm) composition may also have greater implications for health outcomes than PM2.5 concentration considered alone. Samples of PM2.5 were collected for three outdoor and nine indoor microenvironments across Suva, Fiji in 2014/15. Elemental concentration data have been used to estimate source concentrations for PM2.5 for each site. The 12 sites are compared to concurrent ambient measurements at a fixed monitoring site in Suva City and to ambient photometer data. The objective is to determine how well ambient measurements represent air quality across the city, including indoor environments. Surveys were used to determine how much time is spent indoors and outdoors by Suva residents to ascertain potential exposure risks. Results show that PM2.5 concentration and composition varies significantly between the different microenvironments studied. Indoor air quality was affected by both ambient air and indoor sources. Fuel used for cooking, particularly wood and kerosene, influenced indoor PM2.5 and black carbon. Given that the survey showed that people spend more time indoors than outdoors, as experienced elsewhere in the world, ambient measures of PM2.5 concentration and calculated related health risk does not accurately reflect exposures arising from city indoor microenvironments.

AB - Air quality data collected at urban background locations is often assumed to represent a wider urban area. Localised sources and conditions can however cause variation between different microenvironments in the same urban area. Differences in PM2.5 (particulate less than 2.5 μm) composition may also have greater implications for health outcomes than PM2.5 concentration considered alone. Samples of PM2.5 were collected for three outdoor and nine indoor microenvironments across Suva, Fiji in 2014/15. Elemental concentration data have been used to estimate source concentrations for PM2.5 for each site. The 12 sites are compared to concurrent ambient measurements at a fixed monitoring site in Suva City and to ambient photometer data. The objective is to determine how well ambient measurements represent air quality across the city, including indoor environments. Surveys were used to determine how much time is spent indoors and outdoors by Suva residents to ascertain potential exposure risks. Results show that PM2.5 concentration and composition varies significantly between the different microenvironments studied. Indoor air quality was affected by both ambient air and indoor sources. Fuel used for cooking, particularly wood and kerosene, influenced indoor PM2.5 and black carbon. Given that the survey showed that people spend more time indoors than outdoors, as experienced elsewhere in the world, ambient measures of PM2.5 concentration and calculated related health risk does not accurately reflect exposures arising from city indoor microenvironments.

KW - indoor

KW - ambient

KW - microenvironment

M3 - Article

VL - 52

SP - 35

EP - 43

JO - Air Quality and Climate Change

JF - Air Quality and Climate Change

SN - 1836-5876

IS - 1

ER -