Modelling of long-range transport of Southeast Asia biomass-burning
                        aerosols to Taiwan and their radiative forcings over East Asia

Lin, Chih-Hong; Zhao, Chun; Liu, Xiaohong; Lin, Neng Huei; Chen, Wei-Nai

doi:10.3402/tellusb.v66.23733

Cited by 59 publications

(45 citation statements)

References 60 publications

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“…The high AAOD at these sites in March is influenced by the long-range transport of biomass burning emissions from Southeast Asia (J. Huang et al, 2013;Lin et al, 2014). Fig.…”

Section: Simulated Aaod Of Bcmentioning

confidence: 98%

Source sector and region contributions to concentration and direct radiative forcing of black carbon in China

Liao

Mao

et al. 2016

Atmospheric Environment

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h i g h l i g h t sContributions from five domestic sectors and emissions outside China are simulated. Residential and industry sectors are the largest contributors to BC levels in China. The TOA direct radiative forcing of BC in China is simulated to be 1.22 Wm À2 in 2010. Domestic and non-China emissions contribute 75% and 25% to BC forcing, respectively. a b s t r a c tWe quantify the contributions from five domestic emission sectors (residential, industry, transportation, energy, and biomass burning) and emissions outside of China (non-China) to concentration and direct radiative forcing (DRF) of black carbon (BC) in China for year 2010 using a nested-grid version of the global chemical transport model (GEOS-Chem) coupled with a radiative transfer model. The Hemispheric Transport of Air Pollution (HTAP) anthropogenic emissions of BC for year 2010 are used in this study. Simulated surface-layer BC concentrations in China have strong seasonal variations, which exceed 9 mg m À3 in winter and are about 1e5 mg m À3 in summer in the North China Plain and the Sichuan Basin.Residential sector is simulated to have the largest contribution to surface BC concentrations, by 5 e7 mg m À3 in winter and by 1e3 mg m À3 in summer, reflecting the large emissions from winter heating and the enhanced wet deposition during summer monsoon. The contribution from industry sector is the second largest and shows relatively small seasonal variations; the emissions from industry sector contribute 1e3 mg m À3 to BC concentrations in the North China Plain and the Sichuan Basin. The contribution from transportation sector is the third largest, followed by that from biomass burning and energy sectors. The non-China emissions mainly influence the surface-layer concentrations of BC in western China; about 70% of surface-layer BC concentration in the Tibet Plateau is attributed to transboundary transport. Averaged over all of China, the all-sky DRF of BC at the top of the atmosphere (TOA) is simulated to be 1.22 W m À2 . Sensitivity simulations show that the TOA BC direct radiative forcings from the five domestic emission sectors of residential, industry, energy, transportation, biomass burning, and non-China emissions are 0.44, 0.27, 0.01, 0.12, 0.04, and 0.30 W m À2 , respectively. The domestic and non-China emissions contribute 75% and 25% to BC DRF in China, respectively. These results have important implications for taking measures to reduce BC emissions to mitigate near-term climate warming and to improve air quality in China.

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“…The high AAOD at these sites in March is influenced by the long-range transport of biomass burning emissions from Southeast Asia (J. Huang et al, 2013;Lin et al, 2014). Fig.…”

Section: Simulated Aaod Of Bcmentioning

confidence: 98%

Source sector and region contributions to concentration and direct radiative forcing of black carbon in China

Liao

Mao

et al. 2016

Atmospheric Environment

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“…Several studies have been conducted for various Asian domains using a regional climate model with chemistry (Nair et al, 2012) or chemical transport models (CTMs) with an additional aerosol optical module. Most of the Asian regional modeling studies mainly focused on the domains of East Park et al, 2011;Chen et al, 2013;Zhang et al, 2016), South (Goto et al, 2011), and continental East and Southeast Asia (Lin et al, 2014). These studies also highlighted several challenges for models to reproduce the ground-observed PM due to inaccurate emission inventory (EI), simulated meteorological fields, and the extent of model representations (e.g., secondary organic aerosol formation, gas-particle partitioning, dry and wet deposition).…”

Section: A Permadi Et Al: Modeling Pm and Bc Distributions In Somentioning

confidence: 99%

Integrated emission inventory and modeling to assess distribution of particulate matter mass and black carbon composition in Southeast Asia

2018

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Abstract. This is part of a research study addressing the potential co-benefits associated with selected black carbon (BC) emission reduction measures on mitigation of air pollution and climate forcing in Southeast Asia (SEA). This paper presents details of emission inventory (EI) results and WRF-CHIMERE model performance evaluation. The SEA regional emissions for 2007 were updated with our EI results for Indonesia, Thailand, and Cambodia and used for the model input. WRF-CHIMERE-simulated 2007 PM 10 , PM 2.5 , and BC over the SEA domain (0.25 • × 0.25 • ) and the results were evaluated against the available meteorology and air quality monitoring data in the domain. WRF hourly simulation results were evaluated using the observed data at eight international airport stations in five SEA countries and showed a satisfactory performance. WRF-CHIMERE results for PM 10 and PM 2.5 showed strong seasonal influence of biomass open burning while the BC distribution showed the influence of urban activities in big SEA cities. Daily average PM 10 constructed from the hourly concentrations were obtained from the automatic monitoring stations in three large SEA cities, i.e., Bangkok, Kuala Lumpur, and Surabaya, for model evaluation. The daily observed PM 2.5 and BC concentrations obtained from the Improving Air Quality in Asian Developing Countries (AIRPET) project for four cities (i.e., Bangkok, Hanoi, Bandung, and Manila) were also used for model evaluation. In addition, hourly BC concentrations were taken from the measurement results of the Asian Pacific Network (APN) project at a suburban site in Bangkok. The modeled PM 10 and BC satisfactorily met all suggested statistical criteria for PM evaluation. The modeled PM 2.5 /PM 10 ratios estimated for four AIRPET sites ranged between 0.47 and 0.59, lower than observed values of 0.6-0.83. Better agreement was found for BC/PM 2.5 ratios with the modeled values of 0.05-0.33 as compared to the observation values of 0.05-0.28. AODEM (extended aerosol optical depth module) was used to calculate the total columnar aerosol optical depth (AOD) and BC AOD up to the top of the domain at 500 hPa (∼ 5500 m), which did not include the free-tropospheric long-range transport of the pollution. The model AOD results calculated using the internal mixing assumption were evaluated against the observed AOD by both AERONET and MODIS satellite in 10 countries in the domain. Our model results showed that the BC AOD contributed 7.5-12 % of the total AOD, which was in the same range reported by other studies for places with intensive emissions. The results of this paper are used to calculate the regional aerosol direct radiative forcing under different emission reduction scenarios to explore potential co-benefits for air quality improvement, reduction in the number of premature deaths, and climate forcing mitigation in SEA in 2030 (Permadi et al., 2017a).

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“…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%

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.

Self Cite

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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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Modelling of long-range transport of Southeast Asia biomass-burning aerosols to Taiwan and their radiative forcings over East Asia

Cited by 59 publications

References 60 publications

Source sector and region contributions to concentration and direct radiative forcing of black carbon in China

Source sector and region contributions to concentration and direct radiative forcing of black carbon in China

Integrated emission inventory and modeling to assess distribution of particulate matter mass and black carbon composition in Southeast Asia

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

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