Simulating the transport and chemical evolution of biomass burning pollutants originating from Southeast Asia during 7-SEAS/2010 Dongsha experiment

Chuang, Ming-Tung; Fu, Joshua S.; Lin, Neng Huei; Lee, Chung Te; Gao, Yang; Wang, Sheng Hsiang; Sheu, Guey Rong; Hsiao, Ta-Chih; Wang, Jia Lin; Yen, Ming Cheng; Lin, Tang Huang; Thongboonchoo, Narisara; Chen, Wei Chen

doi:10.1016/j.atmosenv.2015.04.055

Cited by 25 publications

(23 citation statements)

References 45 publications

(52 reference statements)

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“…1). Although Chuang et al (2015) and the present study used the same model configuration, it is noted that Chuang et al (2015) analyzed the simulation of domain 2, while the analysis in the present was performed using domain 3. Since CMAQ is an Eulerian model, we cannot get the information of chemical evolution of pollutants in the BB plume along the moving trajectories.…”

Section: Model Description and Configurationmentioning

confidence: 99%

“…In the present study, the FLAMBE emissions are processed as described by Fu et al (2012), Huang et al (2013), and Chuang et al (2015). Fu et al (2012) applied the emission factor table in Andreae and Merlet (2001) Chuang et al (2015) conducted a series of sensitivity tests for the FLAMBE inventory, and found that the BB emissions over SEA may be overestimated by a factor of 4. Therefore, the BB emission was reduced by 75% in the present study.…”

Section: Model Description and Configurationmentioning

confidence: 99%

“…In this model, meteorological data provided by the weather research and forecasting (WRF) model and emission data included anthropogenic emissions from Intercontinental Chemical Transport Experiment-Phase B (INTEX-B; Zhang et al, 2009), biogenic emissions from Model of Emission of Gases and Aerosol from Nature (MEGAN; Guenther et al, 2012), and BB smoke emissions from the Fire Locating and Modeling of Burning Emissions (FLAMBE; Reid et al, 2009). In the present study, the FLAMBE emissions are processed as described by Fu et al (2012), Huang et al (2013), and Chuang et al (2015). Fu et al (2012) applied the emission factor table in Andreae and Merlet (2001) Chuang et al (2015) conducted a series of sensitivity tests for the FLAMBE inventory, and found that the BB emissions over SEA may be overestimated by a factor of 4.…”

Section: Model Description and Configurationmentioning

confidence: 99%

“…The model configuration used in the present study is described by Chuang et al (2015). The domain1, 2, 3 were a set of three nested domains with horizontal resolutions of 45, 15, and 5 km (Fig.…”

Section: Model Description and Configurationmentioning

confidence: 99%

“…The impact of the SEA BB on Taiwan/Mt. Lulin has previously been investigated (Sheu et al, 2010;Lee et al, 2011;Fu et al, 2012;Ou-Yang et al, 2012;Huang et al, 2013;Chuang et al, 2014;Chang et al, 2013;Lin et al, 2014;Chuang et al, 2015). In contrast, the mesoscale/microscale understanding of how the BB plumes are transported to Taiwan remains partially understood.…”

Section: Introductionmentioning

confidence: 99%

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The Simulation of Long-Range Transport of Biomass Burning Plume and Short-Range Transport of Anthropogenic Pollutants to a Mountain Observatory in East Asia during the 7-SEAS/2010 Dongsha Experiment

Chuang

Lee

et al. 2016

Aerosol Air Qual. Res.

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The Community Multi-scale Air Quality Model (CMAQ) is used to simulate the long-range transport of biomass burning (BB) pollutants from Southeast Asia (SEA) towards the Taiwan Central Mountain Range (CMR) in March and April 2010. The results show that a proportion of the BB plume was blocked and compressed at the windward side of CMR. High-altitude BB plume is shown to influence air quality on the ground via three mechanisms: (1) the subsidence in the anticyclone, (2) the downward motion in the cold surge, and (3) the vertical mixing of the boundary layer over land. Two case studies are further investigated to probe the chemical evolution of the air parcel approaching Mt. Lulin. The first case shows that the third mechanism also explained the increase in the concentrations of peroxyacyl nitrate (PAN), higher peroxyacyl nitrate (PANX), NH 3 , SO 2 , and volatile organic compounds in the BB plume when entering the land over western Taiwan. Meanwhile, the percentage of NO 3 -in the plume is also significantly increased. The second case reveals that valley wind transported air pollutants from the ground to the mountains. The air parcel, accompanied with considerable concentrations of PAN, PANX, SULF, and anthropogenic secondary organic aerosol, moved up Mt. Lulin. The pollutant concentrations, except for elemental carbon, in the air parcel decreased on approach to Mt. Lulin because the air parcel was mixed with a clean air.

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Section: Model Description and Configurationmentioning

confidence: 99%

Section: Model Description and Configurationmentioning

confidence: 99%

Section: Model Description and Configurationmentioning

confidence: 99%

Section: Model Description and Configurationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Simulation of Long-Range Transport of Biomass Burning Plume and Short-Range Transport of Anthropogenic Pollutants to a Mountain Observatory in East Asia during the 7-SEAS/2010 Dongsha Experiment

Chuang

Lee

et al. 2016

Aerosol Air Qual. Res.

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Interannual variation of springtime biomass burning in Indochina: Regional differences, associated atmospheric dynamical changes, and downwind impacts

Huang

Wang

Yen

et al. 2016

J. Geophys. Res. Atmos.

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During March and April, widespread burning occurs across farmlands in Indochina in preparation for planting at the monsoon onset. The resultant aerosols impact the air quality downwind. In this study, we investigate the climatic aspect of the interannual variation of springtime biomass burning in Indochina and its correlation with air quality at Mt. Lulin in Taiwan using long‐term (2005–2015) satellite and global reanalysis data. Based on empirical orthogonal function (EOF) analysis, we find that the biomass burning activities vary with two geographical regions: northern Indochina (the primary EOF mode) and southern Indochina (the secondary EOF mode). We determine that the variation of biomass burning over northern Indochina is significantly related with the change in aerosol concentrations at Mt. Lulin. This occurs following the change in the so‐called India‐Burma Trough in the lower and middle troposphere. When the India‐Burma Trough is intensified, a stronger northwesterly wind (to the west of the trough) transports the dryer air from higher latitude into northern Indochina, and this promotes local biomass burning activities. The increase in upward motion to the east of the intensified India‐Burma Trough lifts the aerosols, which are transported toward Taiwan by the increased low‐level westerly jet. Further diagnoses revealed the connection between the India‐Burma Trough and the South Asian jet's wave train pattern as well as the previous winter's El Niño–Southern Oscillation phase. This information highlights the role of the India‐Burma Trough in modulating northern Indochina biomass burning and possibly predicting aerosol transport to East Asia on the interannual time scale.

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Assessment of fire emission inventories for simulating particulate matter in Upper Southeast Asia using WRF-CMAQ

Vongruang

Wongwises

Pimonsree

2017

Atmospheric Pollution Research

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Simulating the transport and chemical evolution of biomass burning pollutants originating from Southeast Asia during 7-SEAS/2010 Dongsha experiment

Cited by 25 publications

References 45 publications

The Simulation of Long-Range Transport of Biomass Burning Plume and Short-Range Transport of Anthropogenic Pollutants to a Mountain Observatory in East Asia during the 7-SEAS/2010 Dongsha Experiment

The Simulation of Long-Range Transport of Biomass Burning Plume and Short-Range Transport of Anthropogenic Pollutants to a Mountain Observatory in East Asia during the 7-SEAS/2010 Dongsha Experiment

Interannual variation of springtime biomass burning in Indochina: Regional differences, associated atmospheric dynamical changes, and downwind impacts

Assessment of fire emission inventories for simulating particulate matter in Upper Southeast Asia using WRF-CMAQ

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