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El Niño and health risks from landscape fire emissions in Southeast Asia.

Marlier ME, DeFries RS, Voulgarakis A, Kinney PL, Randerson JT, Shindell DT, Chen Y, Faluvegi G - Nat Clim Chang (2013)

Bottom Line: In this study, we combine satellite-derived fire estimates and atmospheric modeling to quantify health effects from fire emissions in Southeast Asia from 1997 to 2006.This region has large interannual variability in fire activity due to coupling between El Niño-induced droughts and anthropogenic land use change(2,3).We show that during strong El Niño years, fires contribute up to 200 μg/m(3) and 50 ppb in annual average fine particulate matter (PM2.5) and ozone (O3) surface concentrations near fire sources, respectively.

View Article: PubMed Central - PubMed

Affiliation: Department of Earth and Environmental Sciences, Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, 10964, USA.

ABSTRACT
Emissions from landscape fires affect both climate and air quality(1). In this study, we combine satellite-derived fire estimates and atmospheric modeling to quantify health effects from fire emissions in Southeast Asia from 1997 to 2006. This region has large interannual variability in fire activity due to coupling between El Niño-induced droughts and anthropogenic land use change(2,3). We show that during strong El Niño years, fires contribute up to 200 μg/m(3) and 50 ppb in annual average fine particulate matter (PM2.5) and ozone (O3) surface concentrations near fire sources, respectively. This corresponds to a fire contribution of 200 additional days per year that exceed the World Health Organization (WHO) 50 μg/m(3) 24-hour PM2.5 interim target (IT-2)(4) and an estimated 10,800 (6,800-14,300) person (~2%) annual increase in regional adult cardiovascular mortality. Our results indicate that reducing regional deforestation and degradation fires would improve public health along with widely established benefits from reducing carbon emissions, preserving biodiversity, and maintaining ecosystem services.

No MeSH data available.


Modeled annual mean 1997 surface concentrations and corresponding additional daily exceedances in 1997 due to fires onlya, PM2.5b, O3 annual concentrations and daily exceedances over World Health Organization (WHO) interim targets (50 μg/m3 daily PM2.5 (IT-2) and 80 ppb 8-hour maximum O3 (IT-1)). Annual concentrations are from 24-hour PM2.5 and 8-hour maximum O3. GISS refers to GISS-E2-PUCCINI and G-C refers to GEOS-Chem.
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Figure 2: Modeled annual mean 1997 surface concentrations and corresponding additional daily exceedances in 1997 due to fires onlya, PM2.5b, O3 annual concentrations and daily exceedances over World Health Organization (WHO) interim targets (50 μg/m3 daily PM2.5 (IT-2) and 80 ppb 8-hour maximum O3 (IT-1)). Annual concentrations are from 24-hour PM2.5 and 8-hour maximum O3. GISS refers to GISS-E2-PUCCINI and G-C refers to GEOS-Chem.

Mentions: The additional contribution of fires to annual surface PM2.5 and O3 concentrations in 1997, a strong El Niño year, greatly increases the number of days that exceeded the WHO interim targets of 50 μg/m3 24-hour PM2.5 (IT-2) and 80 ppb 8-hour maximum O3 (IT-1), which are both twice the WHO’s air quality guidelines (Fig. 2; Supplementary Table S1). In 1997, both models show two distinct areas of fire-derived PM2.5 over Sumatra and Borneo with concentrations elevated by 50–200 μg/m3 and with increases of 50–150 days over the WHO interim targets. O3, in contrast, had widely distributed increases of 25–50 ppb and up to 150 exceedance days. Corresponding results with all sources in 1997 are in Supplementary Fig. S1, this simulation captured the general temporal evolution seen in ground observations (Supplementary Figs. S2, S3, S4; Supplementary Table S2).


El Niño and health risks from landscape fire emissions in Southeast Asia.

Marlier ME, DeFries RS, Voulgarakis A, Kinney PL, Randerson JT, Shindell DT, Chen Y, Faluvegi G - Nat Clim Chang (2013)

Modeled annual mean 1997 surface concentrations and corresponding additional daily exceedances in 1997 due to fires onlya, PM2.5b, O3 annual concentrations and daily exceedances over World Health Organization (WHO) interim targets (50 μg/m3 daily PM2.5 (IT-2) and 80 ppb 8-hour maximum O3 (IT-1)). Annual concentrations are from 24-hour PM2.5 and 8-hour maximum O3. GISS refers to GISS-E2-PUCCINI and G-C refers to GEOS-Chem.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4219417&req=5

Figure 2: Modeled annual mean 1997 surface concentrations and corresponding additional daily exceedances in 1997 due to fires onlya, PM2.5b, O3 annual concentrations and daily exceedances over World Health Organization (WHO) interim targets (50 μg/m3 daily PM2.5 (IT-2) and 80 ppb 8-hour maximum O3 (IT-1)). Annual concentrations are from 24-hour PM2.5 and 8-hour maximum O3. GISS refers to GISS-E2-PUCCINI and G-C refers to GEOS-Chem.
Mentions: The additional contribution of fires to annual surface PM2.5 and O3 concentrations in 1997, a strong El Niño year, greatly increases the number of days that exceeded the WHO interim targets of 50 μg/m3 24-hour PM2.5 (IT-2) and 80 ppb 8-hour maximum O3 (IT-1), which are both twice the WHO’s air quality guidelines (Fig. 2; Supplementary Table S1). In 1997, both models show two distinct areas of fire-derived PM2.5 over Sumatra and Borneo with concentrations elevated by 50–200 μg/m3 and with increases of 50–150 days over the WHO interim targets. O3, in contrast, had widely distributed increases of 25–50 ppb and up to 150 exceedance days. Corresponding results with all sources in 1997 are in Supplementary Fig. S1, this simulation captured the general temporal evolution seen in ground observations (Supplementary Figs. S2, S3, S4; Supplementary Table S2).

Bottom Line: In this study, we combine satellite-derived fire estimates and atmospheric modeling to quantify health effects from fire emissions in Southeast Asia from 1997 to 2006.This region has large interannual variability in fire activity due to coupling between El Niño-induced droughts and anthropogenic land use change(2,3).We show that during strong El Niño years, fires contribute up to 200 μg/m(3) and 50 ppb in annual average fine particulate matter (PM2.5) and ozone (O3) surface concentrations near fire sources, respectively.

View Article: PubMed Central - PubMed

Affiliation: Department of Earth and Environmental Sciences, Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, 10964, USA.

ABSTRACT
Emissions from landscape fires affect both climate and air quality(1). In this study, we combine satellite-derived fire estimates and atmospheric modeling to quantify health effects from fire emissions in Southeast Asia from 1997 to 2006. This region has large interannual variability in fire activity due to coupling between El Niño-induced droughts and anthropogenic land use change(2,3). We show that during strong El Niño years, fires contribute up to 200 μg/m(3) and 50 ppb in annual average fine particulate matter (PM2.5) and ozone (O3) surface concentrations near fire sources, respectively. This corresponds to a fire contribution of 200 additional days per year that exceed the World Health Organization (WHO) 50 μg/m(3) 24-hour PM2.5 interim target (IT-2)(4) and an estimated 10,800 (6,800-14,300) person (~2%) annual increase in regional adult cardiovascular mortality. Our results indicate that reducing regional deforestation and degradation fires would improve public health along with widely established benefits from reducing carbon emissions, preserving biodiversity, and maintaining ecosystem services.

No MeSH data available.