Biomass burning in the northern peninsular Southeast Asia: Aerosol chemical profile and potential exposure

Pani, Shantanu Kumar; Chantara, Somporn; Khamkaew, Chanakarn; Lee, Chung Te; Lin, Neng Huei

doi:10.1016/j.atmosres.2019.03.031

Cited by 87 publications

(65 citation statements)

References 127 publications

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“…Ratios of about 5 were reported in the winter in Xi-an, China, which was attributed to coal combustion for residential heating and BB; on the other hand, low ratios about 1 were attributed to vehicle and traffic-related sources. BB -influenced 170 aerosol OC-to-EC ratios were 4.8 in Phimai, Thailand (Li et al, 2013) and ~ 6 in Chiangmai, Thailand (Chuang et al, 2013;Pani et al, 2019a), and ~ 6 in Sonla, Vietnam (Lee et al, 2016). In our study, the ratio averaged at 4.8, which is comparable with https://doi.org/10.5194/acp-2020-1027 Preprint.…”

Section: Meteorology Descriptionsupporting

confidence: 83%

Carbonaceous aerosol composition in air masses influenced by large-scale biomass burning: a case-study in Northwestern Vietnam

Nguyen¹,

Czech²,

Pieber³

et al. 2020

Preprint

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Abstract. We investigated concentrations of organic carbon (OC), elemental carbon (EC) and a wide range of particle-bound organic compounds in daily sampled PM2.5 at the remote Pha Din (PDI) – Global Atmosphere Watch (GAW) monitoring station in Northwestern Vietnam during an intense 3-week sampling campaign from 23rd March to 12th April 2015. The site is known to receive trans-regional air masses during large-scale biomass burning episodes, but OC composition studies are missing in the scientific literature. We quantified 51 organic compounds simultaneously by in-situ derivatization thermal desorption gas chromatography time-of-flight mass spectrometry (IDTD-GC-TOFMS). Anhydrosugars, methoxyphenols, n-alkanes, fatty acids, polycyclic aromatic hydrocarbons, oxygenated polycyclic aromatic hydrocarbons, nitrophenols as well as OC were used in a hierarchical cluster analysis highlighting distinctive patterns for periods under low, medium and high biomass burning (BB) influence. The highest particle phase concentration of the typical primary organic aerosol (POA) and possible secondary organic aerosol (SOA) constituents, especially nitrophenols, were found on 5th and 6th April. We linked the trace gases CH4, CO2, CO, O3 mixing ratios to the statistical classification of BB events based on OA composition and found increased CO and O3 levels during medium and high BB influence. Likewise, a backward trajectory analysis indicates different source regions for the identified periods based on the OA cluster, with cleaner air masses arriving from northeast, i.e., mainland China and Yellow sea. The more polluted periods are characterized by trajectories from southwest, with more continental recirculation of the medium cluster, and more westerly advection for the high cluster. These findings highlight that BB activities in Northern Southeast Asia cannot only significantly enhance the regional organic aerosol loading, but also affect the carbonaceous PM2.5 constituents and the trace gases in northwestern Vietnam. The presented analysis adds valuable data on the carbonaceous and in particular OC chemical composition of PM2.5 in a region of scarce data availability.

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Section: Meteorology Descriptionsupporting

confidence: 83%

Carbonaceous aerosol composition in air masses influenced by large-scale biomass burning: a case-study in Northwestern Vietnam

Nguyen¹,

Czech²,

Pieber³

et al. 2020

Preprint

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“…The exposure risk is measured on the concept that how much dose of air pollutants is inhaled in the body at a particular atmospheric environment and the time spent in that place [98]. Therefore, the exposure risk or inhalation dose of EC is calculated according to the following equation [99].…”

Section: Estimation Of Exposure Risk To Ecmentioning

confidence: 99%

“…Here, IR(∆t) is the breathing rate (1.62 or 0.027 m 3 /min for male and female in the age range of 21-51 years) for mean short term exposure as suggested in the risk information by the United States Environmental Protection Agency [100]. In this equation, t is the exposure time of a person to air pollutants (i.e., minimum time spent by a person in outdoor activities), which is taken as 8 h for calculation of inhalation dose [99]. The estimated inhalation dose was found significantly high during winter and post-monsoon season, which could adversely affect the respiratory system.…”

Section: Estimation Of Exposure Risk To Ecmentioning

confidence: 99%

Seasonal variation of carbonaceous species in PM1 measured over residential area of Delhi, India

Singh

Srivastava

2020

SN Appl. Sci.

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“…Disadvantages include socio-economic and psychological impacts (Mackolil and Mackolil, 2020). However, it has some compensation also like sudden discontinuation of the effluent and pollutants, which were being directly or indirectly introduced, in the river water, a lesser hindrance to the wildlife, lesser causalities of humans due to road accidents, but the major benefit includes the improvement in the quality of air, which is directly linked with the various human health impacts (Pani et al, 2019(Pani et al, , 2020a. There are numerous studies reported about the reduction of air pollution in China, the USA, Brazil, Italy, and other countries (Dutheil et al, 2020;NASA, 2020;Tob ıas et al, 2020;Xu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

COVID-19 pandemic: An outlook on its impact on air quality and its association with environmental variables in major cities of Punjab and Chandigarh, India

Sahoo

Chauhan

Mangla

et al. 2020

Environmental Forensics

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The present study aims to evaluate the impact of COVID-19 lockdown on air quality and to explore the association of daily COVID-19 confirmed cases with meteorological parameters and criteria pollutants in the major cities of Punjab and Chandigarh, India during the different phase of pre-lockdown (March 1 to March 24), lockdown (1.0, 2.0, 3.0, 4.0; March 25 to May 31), and unlock (1.0, 2.0; > June 1) in 2020. Our results show that the COVID-19 lockdown has drastically improved the quality of air in major cities of Punjab and Chandigarh. Compared to pre-lockdown, maximum reduction of PM 2.5 and PM 10 levels (up to À52 and À53.5%, respectively) was witnessed during lockdown 1.0, but their levels were rising again during the last phase of lockdown and unlock phases. This is due to more relaxation and traffic returned on the road. Among other pollutants, NO 2 also reduced during lockdown 1.0, but remained variable between cities and different phases of lockdown and unlock periods. However, surface-level ozone resulted in an overall increase trend during the lockdown and unlock phases. Regarding the relationship between COVID-19 and meteorological parameters, Spearman correlation test shows that ambient temperature is positively correlated with COVID-19 daily confirmed cases (r < 0.77, p < 0.01). This result indicates that the study region's hot tropical weather is less effective in controlling the spread of COVID-19. Relative humidity and wind speed are also weakly correlated with COVID-19. Furthermore, among criteria pollutants, PM 2.5 and PM 10 are positively correlated (r < 0.55, p < 0.01) with COVID-19 pandemic, especially in Jalandhar and Ludhiana, suggesting that these pollutants could lead to the spreading of the virus. However, further in-depth studies are required to validate this finding. The results of this study can contribute to the understanding of the role of environmental factors in the transmission of COVID-19 in tropical and subtropical countries like India, Brazil, etc. This study also indicates that the temporarylockdown like COVID-19 can be emerged as an effective way to control environmental imbalancein the study area, as well as in other areas.

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Biomass burning in the northern peninsular Southeast Asia: Aerosol chemical profile and potential exposure

Cited by 87 publications

References 127 publications

Carbonaceous aerosol composition in air masses influenced by large-scale biomass burning: a case-study in Northwestern Vietnam

Carbonaceous aerosol composition in air masses influenced by large-scale biomass burning: a case-study in Northwestern Vietnam

Seasonal variation of carbonaceous species in PM1 measured over residential area of Delhi, India

COVID-19 pandemic: An outlook on its impact on air quality and its association with environmental variables in major cities of Punjab and Chandigarh, India

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