Effects of Siberian forest fires on air quality in East Asia during May 2003 and its climate implication

Jeong, Jae-In; Park, Rokjin J.; Youn, Daeok

doi:10.1016/j.atmosenv.2008.08.037

Cited by 43 publications

(39 citation statements)

References 75 publications

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“…In May 2003, intense forest fires occurred over Siberia (Lee et al, 2005;Jeong et al, 2008;Youn et al, 2011). Satellite observations clearly show the transport of smoke plumes emitted from Siberian forest fires through Mongolia and eastern China, south to the Korean Peninsula (Lee et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…Total carbon concentrations exceeded 10 times that during non-event periods in Moscow (Popovicheva et al, 2014). During severe forest fires in Siberia in May 2003, the surface PM 10 (particulate matter with a diameter of ≤ 10 µm) and O 3 concentrations in downwind areas increased by 5-30 µg m −3 and 3-20 ppbv, respectively, and this had important implications for air quality over East Asia (Jeong et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Frequent forest fires over Siberia have an impact on downwind areas in Mongolia, China, Korea, and the Northwest Pacific through long-range atmospheric transport (Kajii et al, 2002;Kanaya et al, 2003;Lee et al, 2005;Jeong et al, 2008;Youn et al, 2011). In May 2003, intense forest fires occurred over Siberia (Lee et al, 2005;Jeong et al, 2008;Youn et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…These pollutants alter the regional climate of downwind areas by altering ambient temperature, cloud properties, and precipitation efficiency (Jeong et al, 2008;Youn et al, 2011;Jeong et al, 2014). They also influence the air quality of downwind areas in urban, ocean, and Arctic regions through long-range atmospheric transport (Carvalho et al, 2011;Quennehe et al, 2012;Schreier et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Impact of Siberian forest fires on the atmosphere over the Korean Peninsula during summer 2014

et al. 2016

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Abstract. Extensive forest fires occurred during late July 2014 across the forested region of Siberia, Russia. Smoke plumes emitted from Siberian forest fires underwent long-range transport over Mongolia and northeast China to the Korean Peninsula, which is located ∼ 3000 km south of the Siberian forest. A notably high aerosol optical depth of ∼ 4 was observed at a wavelength of 500 nm near the source of the Siberian forest fires. Smoke plumes reached 3-5 km in height near the source and fell below 2 km over the Korean Peninsula. Elevated concentrations of levoglucosan were observed (119.7 ± 6.0 ng m −3 ), which were ∼ 4.5 times higher than those observed during non-event periods in July 2014. During the middle of July 2014, a haze episode occurred that was primarily caused by the long-range transport of emission plumes originating from urban and industrial complexes in East China. Sharp increases in SO 2− 4 concentrations (23.1 ± 2.1 µg m −3 ) were observed during this episode. The haze caused by the long-range transport of Siberian forest fire emissions was clearly identified by relatively high organic carbon (OC) / elemental carbon (EC) ratios (7.18 ± 0.2) and OC / SO 2− 4 ratios (1.31 ± 0.07) compared with those of the Chinese haze episode (OC / EC ratio: 2.4 ± 0.4; OC / SO 2− 4 ratio: 0.21 ± 0.05). Remote measurement techniques and chemical analyses of the haze plumes clearly show that the haze episode that occurred during late July 2014 was caused mainly by the long-range transport of smoke plumes emitted from Siberian forest fires.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact of Siberian forest fires on the atmosphere over the Korean Peninsula during summer 2014

et al. 2016

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“…Park et al, 2003;Jeong et al, 2008;Turquety et al, 2007;Pfister et al, 2008;Stavrakou et al, 2009). The reduction of potential uncertainties in global model results can be achieved by averaging model outputs over sufficiently large areas and/or long (e.g.…”

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confidence: 99%

Atmospheric impacts of the 2010 Russian wildfires: integrating modelling and measurements of an extreme air pollution episode in the Moscow region

et al. 2011

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Abstract. Numerous wildfires provoked by an unprecedented intensive heat wave caused continuous episodes of extreme air pollution in several Russian cities and densely populated regions, including the Moscow region. This paper analyzes the evolution of the surface concentrations of CO, PM 10 and ozone over the Moscow region during the 2010 heat wave by integrating available ground based and satellite measurements with results of a mesoscale model. The CHIMERE chemistry transport model is used and modified to include the wildfire emissions of primary pollutants and the shielding effect of smoke aerosols on photolysis. The wildfire emissions are derived from satellite measurements of the fire radiative power and are optimized by assimilating data of ground measurements of carbon monoxide (CO) and particulate matter (PM 10 ) into the model. It is demonstrated that the optimized simulations reproduce independent observations, which were withheld during the optimisation procedure, quite adequately (specifically, the correlation coefficient of daily time series of CO and PM 10 exceeds 0.8) and that inclusion of the fire emissions into the model significantly improves its performance. The model results show that wildfires are the principal factor causing the observed air pollution episode associated with the extremely high levels of daily mean CO and PM 10 concentrations (up to 10 mg m −3 and 700 µg m −3 in the averages over available monitoring sites, respectively), although accumulation of anthropogenic pollution was also favoured by a stagnant meteorological sitCorrespondence to: I. B. Konovalov (konov@appl.sci-nnov.ru) uation. Indeed, ozone concentrations were simulated to be episodically very large (>400 µg m −3 ) even when fire emissions were omitted in the model. It was found that fire emissions increased ozone production by providing precursors for ozone formation (mainly VOC), but also inhibited the photochemistry by absorbing and scattering solar radiation. In contrast, diagnostic model runs indicate that ozone concentrations could reach very high values even without fire emissions which provide "fuel" for ozone formation, but, at the same time, inhibit it as a result of absorption and scattering of solar radiation by smoke aerosols. A comparison of MOPITT CO measurements and corresponding simulations indicates that the observed episodes of extreme air pollution in Moscow were only a part of a very strong perturbation of the atmospheric composition, caused by wildfires, over European Russia. It is estimated that 2010 fires in this region emitted ∼10 Tg CO, thus more than 85 % of the total annual anthropogenic CO emissions. About 30 % of total CO fire emissions in European Russia are identified as emissions from peat fires.

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Seasonal variations of Asian black carbon outflow to the Pacific: Contribution from anthropogenic sources in China and biomass burning sources in Siberia and Southeast Asia

et al. 2013

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[1] The Community Multiscale Air Quality model with a source and process tagged method (CMAQ/PASCAL) was used to understand source regions and types (anthropogenic (AN) and biomass burning (BB)) of Asian black carbon (BC) outflow to the Pacific during 2008-2010. The model simulations generally reproduced absolute concentrations and temporal (seasonal, monthly, and day-to-day) variations of BC mass concentrations, observed by both surface and aircraft measurements in outflow regions in East Asia. These model simulations show that both the total eastward flux and transport efficiency (fractions transported from sources) of BC are highest during spring (26 kg s À1 and 33% at 150°E) and lowest during summer (8 kg s À1 and 20% at 150°E). These seasonal variations of Asian BC outflow are generally controlled by transport patterns (monsoons, frontal passages, and convection) and emissions from the following three sources: (1) AN emissions from China (China AN), (2) BB emissions from Southeast Asia and South China (SEA BB) during February-April, and (3) BB emissions from Siberia and Kazakhstan (Siberia BB) during April-July. In our simulations, China AN dominates the total eastward BC flux on a 3 year average (61%, 17%, and 6% from China AN, Siberia BB, and SEA BB, respectively, at 150°E). In contrast, SEA and Siberia BB account for 30-50% of the total eastward BC flux (150°E and 175°E) during spring and summer, and they increase the seasonal variability of the Asian BC outflow flux. BC from Siberia BB is also found to be transported to the Pacific more efficiently than BC from other sources. Although the magnitudes of BB emissions are highly uncertain, our results suggest that the control of Siberia BB will be important in terms of the transboundary transport of BC to the Pacific, North America, and the Arctic. , 118, 9948-9967,

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Effects of Siberian forest fires on air quality in East Asia during May 2003 and its climate implication

Cited by 43 publications

References 75 publications

Impact of Siberian forest fires on the atmosphere over the Korean Peninsula during summer 2014

Impact of Siberian forest fires on the atmosphere over the Korean Peninsula during summer 2014

Atmospheric impacts of the 2010 Russian wildfires: integrating modelling and measurements of an extreme air pollution episode in the Moscow region

Seasonal variations of Asian black carbon outflow to the Pacific: Contribution from anthropogenic sources in China and biomass burning sources in Siberia and Southeast Asia

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