An overview of regional experiments on biomass burning aerosols and related pollutants in Southeast Asia: From BASE-ASIA and the Dongsha Experiment to 7-SEAS

Lin, Neng Huei; Tsay, Si Chee; Maring, Hal; Yen, Ming Cheng; Sheu, Guey Rong; Wang, Sheng Hsiang; Hsien, Kai; Chuang, Ming-Tung; Ou-Yang, Chang Feng; Fu, Joshua S.; Reid, Jeffrey S.; Lee, Chung Te; Wang, Lin‐Chi; Wang, Jia Lin; Hsu, Christina; Sayer, A. M.; Holben, B. N.; Chu, Yu Chi; Nguyen, Xuan Anh; Sopajaree, Khajornsak; Chen, Shui Jen; Cheng, M. Samuel; Tsuang, Ben‐Jei; Tsai, Chuen Jinn; Peng, Chi Ming; Schnell, R. C.; Conway, Tom; Chang, Chang Tang; Lin, Kuen Song; Tsai, Ying I.; Lee, Wen Jhy; Chang, Shih-Yu; Liu, Jyh Jian; Chiang, Wei Li; Huang, Shih Jen; Lin, Tang Huang; Liu, Gin Rong

doi:10.1016/j.atmosenv.2013.04.066

Cited by 198 publications

(127 citation statements)

References 120 publications

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“…A similar finding about the dominance of organic particles in this environment was also demonstrated by Atraxo et al [51]. Similarly, in Southeast Asia, Lin et al [52] found that sites that are heavily impacted by biomass burning experience elevated fine particle concentrations (with particles with diameters less than 2.5 μm, namely PM 2.5 , exceeding 45 μg m −3 on average), dominated by organic mass enhancements. In Singapore, it has been suggested [30] that fire emissions from Indonesia account for drastic enhancements of PM 2.5 pollution, as was also the case for CO. More recently, regional climate modelling revealed that Indonesian fires contributed to 17 days exceeding 50 μg m −3 concentrations of PM 2.5 in the July-October period of 2006 in Singapore [29].…”

Section: Aerosolssupporting

confidence: 61%

Fire Influences on Atmospheric Composition, Air Quality and Climate

Voulgarakis

Field

2015

Curr Pollution Rep

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Fires impact atmospheric composition through their emissions, which range from long-lived gases to shortlived gases and aerosols. Effects are typically larger in the tropics and boreal regions but can also be substantial in highly populated areas in the northern mid-latitudes. In all regions, fire can impact air quality and health. Similarly, its effect on large-scale atmospheric processes, including regional and global atmospheric chemistry and climate forcing, can be substantial, but this remains largely unexplored. The impacts are primarily realised in the boundary layer and lower free troposphere but can also be noticeable in upper troposphere/lower stratosphere (UT/LS) region, for the most intense fires. In this review, we summarise the recent literature on findings related to fire impact on atmospheric composition, air quality and climate. We explore both observational and modelling approaches and present information on key regions and on the globe as a whole. We also discuss the current and future directions in this area of research, focusing on the major advances in emission estimates, the emerging efforts to include fire as a component in Earth system modelling and the use of modelling to assess health impacts of fire emissions.

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Section: Aerosolssupporting

confidence: 61%

Fire Influences on Atmospheric Composition, Air Quality and Climate

Voulgarakis

Field

2015

Curr Pollution Rep

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“…We base the present study on data from the Seven Southeast Asian Studies/Biomass-burning Aerosols & Stratocumulus Environment: Lifecycles and Interactions Experiment (7-SEAS/BASELInE), which was conducted over Southeast Asia during peak biomass burning season (March and April) from 2013 to 2015 (and onwards) (cf. Lin et al, 2013;Reid et al, 2013;Tsay et al, 2013). The frequent smoke aerosols over the study domain and abundant ground-based observations during this field campaign provided a testbed on which the ASHE products can thoroughly be examined over a longer period of time than previous studies.…”

Section: Introductionmentioning

confidence: 93%

Evaluating the Height of Biomass Burning Smoke Aerosols Retrieved from Synergistic Use of Multiple Satellite Sensors over Southeast Asia

Lee

Hsu

Bettenhausen

et al. 2016

Aerosol Air Qual. Res.

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This study evaluates the height of biomass burning smoke aerosols retrieved from a combined use of Visible Infrared Imaging Radiometer Suite (VIIRS), Ozone Mapping and Profiler Suite (OMPS), and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) observations. The retrieved heights are compared against spaceborne and ground-based lidar measurements during the peak biomass burning season (March and April) over Southeast Asia from 2013 to 2015. Based on the comparison against CALIOP, a quality assurance (QA) procedure is developed. It is found that 74% (81-84%) of the retrieved heights fall within 1 km of CALIOP observations for unfiltered (QA-filtered) data, with root-mean-square error (RMSE) of 1.1 km (0.8-1.0 km). Eliminating the requirement for CALIOP observations from the retrieval process significantly increases the temporal coverage with only a slight decrease in the retrieval accuracy; for best QA data, 64% of data fall within 1 km of CALIOP observations with RMSE of 1.1 km. When compared with Micro-Pulse Lidar Network (MPLNET) measurements deployed at Doi Ang Khang, Thailand, the retrieved heights show RMSE of 1.7 km (1.1 km) for unfiltered (QA-filtered) data for the complete algorithm, and 0.9 km (0.8 km) for the simplified algorithm.

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“…PM 2.5 samples were collected in the dry season from March to mid-April 2014 during the 7-SEAS (cf: Lin et al, 2013) 2014 spring campaign. The samples were collected using mini-volume air samplers (MiniVol, Airmetrics, USA) at a flow rate of 5 L min -1 .…”

Section: Pm 25 Sampling and Analysismentioning

confidence: 99%

Investigation of Biomass Burning Chemical Components over Northern Southeast Asia during 7-SEAS/BASELInE 2014 Campaign

Khamkaew

Chantara

Janta

et al. 2016

Aerosol Air Qual. Res.

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This study investigates the chemical components of biomass burning (BB) aerosols obtained from Doi Ang Khang (DAK; near BB source) and Chiang Mai University (CMU; an urban location) over northern Southeast Asia in dry season (March to mid-April) 2014. PM 2.5 (particulate matter with an aerodynamic diameter less than or equal to 2.5 µm) samples were collected over a 24-h sampling period as a part of the Seven South East Asian Studies ) and CMU (90.7-93.1 µg m -3 ) were not significantly different (p > 0.05) and well correlated (r = 0.8), and likely originated from similar source origins. The number of fire hotspots was particularly high during 20-21 March (greater than 200) and, consequently, peaks of PM 2.5 were recorded at both sites. The most abundant elements at both sampling sites were K (49-50% of total elements), Al (26-31%), Mg (16%) and Zn (4-7%), whereas SO 4 2-(30-38% of total ions), NO 3 -(13-20%), Na + (16-20%) and NH 4 + (14-15%) were the most abundant ions. Concentrations of levoglucosan and K + (BB tracers) were well correlated (r = 0.5 for CMU and 0.7 for DAK) confirming that the PM 2.5 detected in these areas were mainly influenced by BB activity. Principal component analysis (PCA) revealed that BB, road traffic, agricultural activity and soil re-suspension were plausible sources of PM 2.5 over the study locations. Apart from local sources, the influence of long-range transport was also investigated by way of three-day backward trajectory analysis.

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An overview of regional experiments on biomass burning aerosols and related pollutants in Southeast Asia: From BASE-ASIA and the Dongsha Experiment to 7-SEAS

Cited by 198 publications

References 120 publications

Fire Influences on Atmospheric Composition, Air Quality and Climate

Fire Influences on Atmospheric Composition, Air Quality and Climate

Evaluating the Height of Biomass Burning Smoke Aerosols Retrieved from Synergistic Use of Multiple Satellite Sensors over Southeast Asia

Investigation of Biomass Burning Chemical Components over Northern Southeast Asia during 7-SEAS/BASELInE 2014 Campaign

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