Articles | Volume 19, issue 8
https://doi.org/10.5194/acp-19-5363-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-5363-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Apr 2019
Research article |
| 18 Apr 2019
| 18 Apr 2019
Haze in Singapore – source attribution of biomass burning PM10 from Southeast Asia
Ayoe Buus Hansen
CORRESPONDING AUTHOR
Met Office, Exeter, UK
Claire Suzanne Witham
Met Office, Exeter, UK
Wei Ming Chong
Meteorological Service Singapore,
Singapore
Emma Kendall
Met Office, Exeter, UK
Boon Ning Chew
Meteorological Service Singapore,
Singapore
Christopher Gan
Meteorological Service Singapore,
Singapore
Matthew Craig Hort
Met Office, Exeter, UK
Shao-Yi Lee
Meteorological Service Singapore,
Singapore
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Cited
26 citations as recorded by crossref.
- Spatio-temporal analysis of aerosol optical depth using rotated empirical orthogonal function over the Maritime Continent from 2001 to 2020 A. Khoir et al. 10.1016/j.atmosenv.2022.119356
- Source emission contributions to particulate matter and ozone, and their health impacts in Southeast Asia Y. Gu et al. 10.1016/j.envint.2024.108578
- Biomass burning-derived airborne particulate matter in Southeast Asia: A critical review M. Adam et al. 10.1016/j.jhazmat.2020.124760
- Biomass burning in critical fire region over the Maritime Continent from 2012 to 2021: A review of the meteorological influence and cloud-aerosol-radiation interactions J. Chang et al. 10.1016/j.atmosenv.2023.120324
- Agricultural production and air pollution: An investigation on crop straw fires K. Zhao et al. 10.1371/journal.pone.0303830
- Aerosol particle properties at a remote tropical rainforest in Borneo N. Abdullah et al. 10.1016/j.apr.2022.101383
- Development and Evaluation of Statistical Models Based on Machine Learning Techniques for Estimating Particulate Matter (PM2.5 and PM10) Concentrations W. Hong et al. 10.3390/ijerph19137728
- Effects of spatial scale of atmospheric reanalysis data on clear-sky surface radiation modeling in tropical climates: A case study for Singapore X. Sun et al. 10.1016/j.solener.2022.06.001
- Evaluation and sensitivity analysis of the ecosystem service functions of haze absorption by green space based on its quality in China P. Zhang et al. 10.3897/natureconservation.40.23017
- The Influence of South East Asia Forest Fires on Ambient Particulate Matter Concentrations in Singapore: An Ecological Study Using Random Forest and Vector Autoregressive Models J. Rajarethinam et al. 10.3390/ijerph17249345
- New estimate of particulate emissions from Indonesian peat fires in 2015 L. Kiely et al. 10.5194/acp-19-11105-2019
- Long-term satellite-based estimates of air quality and premature mortality in Equatorial Asia through deep neural networks N. Bruni Zani et al. 10.1088/1748-9326/abb733
- Characteristics of trace elements bound to ambient nanoparticles (PM0.1) and a health risk assessment in southern Thailand W. Phairuang et al. 10.1016/j.jhazmat.2021.127986
- Carbon and Trace Element Compositions of Total Suspended Particles (TSP) and Nanoparticles (PM0.1) in Ambient Air of Southern Thailand and Characterization of Their Sources M. Inerb et al. 10.3390/atmos13040626
- Spatial-Temporal Variation of AOD Based on MAIAC AOD in East Asia from 2011 to 2020 P. Wang et al. 10.3390/atmos13121983
- Assessing local and transboundary fine particulate matter pollution and sectoral contributions in Southeast Asia during haze months of 2015–2019 T. Fang et al. 10.1016/j.scitotenv.2023.169051
- Source apportionment of PM2.5 in Thailand’s deep south by principal component analysis and impact of transboundary haze P. Chaisongkaew et al. 10.1007/s11356-023-28419-7
- The characteristics of carbonaceous particles down to the nanoparticle range in Rangsit city in the Bangkok Metropolitan Region, Thailand Y. Boongla et al. 10.1016/j.envpol.2020.115940
- Influence of network structure on contaminant spreading efficiency P. Zhao et al. 10.1016/j.jhazmat.2021.127511
- The influence of meteorology and emissions on the spatio-temporal variability of PM10 in Malaysia M. Alifa et al. 10.1016/j.atmosres.2020.105107
- Experience from Integrated Air Quality Management in the Mexico City Metropolitan Area and Singapore L. Molina et al. 10.3390/atmos10090512
- Rapidly rising transboundary atmospheric pollution from industrial and urban sources in Southeast Asia and its implications for regional sustainable development Q. Chen et al. 10.1088/1748-9326/abb5ce
- Tropical peat fire emissions: 2019 field measurements in Sumatra and Borneo and synthesis with previous studies R. Yokelson et al. 10.5194/acp-22-10173-2022
- Precipitation records of anthropogenic nitrogen pollution in two metropolitan cities of Southeast Asia K. Zhang et al. 10.1016/j.uclim.2023.101749
- Atmospheric emissions, processes, and impacts of tropical peatland fire haze in Equatorial Asia: A review M. Kuwata 10.1016/j.atmosenv.2024.120575
- Impact of biomass burning sources during the high season on PM2.5 pollution observed at sampling sites in Hanoi, Vietnam and Chiang Rai, Thailand N. Luong et al. 10.30852/sb.2022.1849
26 citations as recorded by crossref.
- Spatio-temporal analysis of aerosol optical depth using rotated empirical orthogonal function over the Maritime Continent from 2001 to 2020 A. Khoir et al. 10.1016/j.atmosenv.2022.119356
- Source emission contributions to particulate matter and ozone, and their health impacts in Southeast Asia Y. Gu et al. 10.1016/j.envint.2024.108578
- Biomass burning-derived airborne particulate matter in Southeast Asia: A critical review M. Adam et al. 10.1016/j.jhazmat.2020.124760
- Biomass burning in critical fire region over the Maritime Continent from 2012 to 2021: A review of the meteorological influence and cloud-aerosol-radiation interactions J. Chang et al. 10.1016/j.atmosenv.2023.120324
- Agricultural production and air pollution: An investigation on crop straw fires K. Zhao et al. 10.1371/journal.pone.0303830
- Aerosol particle properties at a remote tropical rainforest in Borneo N. Abdullah et al. 10.1016/j.apr.2022.101383
- Development and Evaluation of Statistical Models Based on Machine Learning Techniques for Estimating Particulate Matter (PM2.5 and PM10) Concentrations W. Hong et al. 10.3390/ijerph19137728
- Effects of spatial scale of atmospheric reanalysis data on clear-sky surface radiation modeling in tropical climates: A case study for Singapore X. Sun et al. 10.1016/j.solener.2022.06.001
- Evaluation and sensitivity analysis of the ecosystem service functions of haze absorption by green space based on its quality in China P. Zhang et al. 10.3897/natureconservation.40.23017
- The Influence of South East Asia Forest Fires on Ambient Particulate Matter Concentrations in Singapore: An Ecological Study Using Random Forest and Vector Autoregressive Models J. Rajarethinam et al. 10.3390/ijerph17249345
- New estimate of particulate emissions from Indonesian peat fires in 2015 L. Kiely et al. 10.5194/acp-19-11105-2019
- Long-term satellite-based estimates of air quality and premature mortality in Equatorial Asia through deep neural networks N. Bruni Zani et al. 10.1088/1748-9326/abb733
- Characteristics of trace elements bound to ambient nanoparticles (PM0.1) and a health risk assessment in southern Thailand W. Phairuang et al. 10.1016/j.jhazmat.2021.127986
- Carbon and Trace Element Compositions of Total Suspended Particles (TSP) and Nanoparticles (PM0.1) in Ambient Air of Southern Thailand and Characterization of Their Sources M. Inerb et al. 10.3390/atmos13040626
- Spatial-Temporal Variation of AOD Based on MAIAC AOD in East Asia from 2011 to 2020 P. Wang et al. 10.3390/atmos13121983
- Assessing local and transboundary fine particulate matter pollution and sectoral contributions in Southeast Asia during haze months of 2015–2019 T. Fang et al. 10.1016/j.scitotenv.2023.169051
- Source apportionment of PM2.5 in Thailand’s deep south by principal component analysis and impact of transboundary haze P. Chaisongkaew et al. 10.1007/s11356-023-28419-7
- The characteristics of carbonaceous particles down to the nanoparticle range in Rangsit city in the Bangkok Metropolitan Region, Thailand Y. Boongla et al. 10.1016/j.envpol.2020.115940
- Influence of network structure on contaminant spreading efficiency P. Zhao et al. 10.1016/j.jhazmat.2021.127511
- The influence of meteorology and emissions on the spatio-temporal variability of PM10 in Malaysia M. Alifa et al. 10.1016/j.atmosres.2020.105107
- Experience from Integrated Air Quality Management in the Mexico City Metropolitan Area and Singapore L. Molina et al. 10.3390/atmos10090512
- Rapidly rising transboundary atmospheric pollution from industrial and urban sources in Southeast Asia and its implications for regional sustainable development Q. Chen et al. 10.1088/1748-9326/abb5ce
- Tropical peat fire emissions: 2019 field measurements in Sumatra and Borneo and synthesis with previous studies R. Yokelson et al. 10.5194/acp-22-10173-2022
- Precipitation records of anthropogenic nitrogen pollution in two metropolitan cities of Southeast Asia K. Zhang et al. 10.1016/j.uclim.2023.101749
- Atmospheric emissions, processes, and impacts of tropical peatland fire haze in Equatorial Asia: A review M. Kuwata 10.1016/j.atmosenv.2024.120575
- Impact of biomass burning sources during the high season on PM2.5 pollution observed at sampling sites in Hanoi, Vietnam and Chiang Rai, Thailand N. Luong et al. 10.30852/sb.2022.1849
Latest update: 17 Jul 2024
Short summary
We have modelled biomass burning haze concentrations in Singapore between 2010 and 2015. The major contributing haze source regions at two monitoring stations located in the western and eastern part of Singapore, less than 30 km apart, show significant variation on seasonal and annual timescales, as well as between the stations. Our results show that haze concentrations in Singapore are driven by a combination of local and regional weather, climate, and the location of regional burning.
We have modelled biomass burning haze concentrations in Singapore between 2010 and 2015. The...
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