Articles | Volume 18, issue 9
https://doi.org/10.5194/acp-18-6141-2018
https://doi.org/10.5194/acp-18-6141-2018
Research article
 | 
03 May 2018
Research article |  | 03 May 2018

Impacts of air pollutants from fire and non-fire emissions on the regional air quality in Southeast Asia

Hsiang-He Lee, Oussama Iraqui, Yefu Gu, Steve Hung-Lam Yim, Apisada Chulakadabba, Adam Yiu-Ming Tonks, Zhengyu Yang, and Chien Wang

Related authors

E3SM Chemistry Diagnostics Package (ChemDyg) Version 0.1.4
Hsiang-He Lee, Qi Tang, and Michael Prather
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-203,https://doi.org/10.5194/gmd-2023-203, 2024
Preprint under review for GMD
Short summary
Combining regional mesh refinement with vertically enhanced physics to target marine stratocumulus biases as demonstrated in the Energy Exascale Earth System Model version 1
Peter A. Bogenschutz, Hsiang-He Lee, Qi Tang, and Takanobu Yamaguchi
Geosci. Model Dev., 16, 335–352, https://doi.org/10.5194/gmd-16-335-2023,https://doi.org/10.5194/gmd-16-335-2023, 2023
Short summary
The impacts of biomass burning activities on convective systems over the Maritime Continent
Hsiang-He Lee and Chien Wang
Atmos. Chem. Phys., 20, 2533–2548, https://doi.org/10.5194/acp-20-2533-2020,https://doi.org/10.5194/acp-20-2533-2020, 2020
Short summary
Effective radiative forcing in the aerosol–climate model CAM5.3-MARC-ARG
Benjamin S. Grandey, Daniel Rothenberg, Alexander Avramov, Qinjian Jin, Hsiang-He Lee, Xiaohong Liu, Zheng Lu, Samuel Albani, and Chien Wang
Atmos. Chem. Phys., 18, 15783–15810, https://doi.org/10.5194/acp-18-15783-2018,https://doi.org/10.5194/acp-18-15783-2018, 2018
Short summary
Biomass burning aerosols and the low-visibility events in Southeast Asia
Hsiang-He Lee, Rotem Z. Bar-Or, and Chien Wang
Atmos. Chem. Phys., 17, 965–980, https://doi.org/10.5194/acp-17-965-2017,https://doi.org/10.5194/acp-17-965-2017, 2017
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Improving 3-day deterministic air pollution forecasts using machine learning algorithms
Zhiguo Zhang, Christer Johansson, Magnuz Engardt, Massimo Stafoggia, and Xiaoliang Ma
Atmos. Chem. Phys., 24, 807–851, https://doi.org/10.5194/acp-24-807-2024,https://doi.org/10.5194/acp-24-807-2024, 2024
Short summary
Opinion: The importance of historical and paleoclimate aerosol radiative effects
Natalie M. Mahowald, Longlei Li, Samuel Albani, Douglas S. Hamilton, and Jasper F. Kok
Atmos. Chem. Phys., 24, 533–551, https://doi.org/10.5194/acp-24-533-2024,https://doi.org/10.5194/acp-24-533-2024, 2024
Short summary
Assessing the assimilation of Himawari-8 observations on aerosol forecasts and radiative effects during pollution transport from South Asia to the Tibetan Plateau
Min Zhao, Tie Dai, Daisuke Goto, Hao Wang, and Guangyu Shi
Atmos. Chem. Phys., 24, 235–258, https://doi.org/10.5194/acp-24-235-2024,https://doi.org/10.5194/acp-24-235-2024, 2024
Short summary
Aerosol–meteorology feedback diminishes the transboundary transport of black carbon into the Tibetan Plateau
Yuling Hu, Haipeng Yu, Shichang Kang, Junhua Yang, Mukesh Rai, Xiufeng Yin, Xintong Chen, and Pengfei Chen
Atmos. Chem. Phys., 24, 85–107, https://doi.org/10.5194/acp-24-85-2024,https://doi.org/10.5194/acp-24-85-2024, 2024
Short summary
Associations of interannual variation in summer tropospheric ozone with the Western Pacific Subtropical High in China from 1999 to 2017
Xiaodong Zhang, Ruiyu Zhugu, Xiaohu Jian, Xinrui Liu, Kaijie Chen, Shu Tao, Junfeng Liu, Hong Gao, Tao Huang, and Jianmin Ma
Atmos. Chem. Phys., 23, 15629–15642, https://doi.org/10.5194/acp-23-15629-2023,https://doi.org/10.5194/acp-23-15629-2023, 2023
Short summary

Cited articles

Ackermann, I. J., Hass, H., Memmesheimer, M., Ebel, A., Binkowski, F. S., and Shankar, U.: Modal aerosol dynamics model for Europe: development and first applications, Atmos. Environ., 32, 2981–2999, https://doi.org/10.1016/S1352-2310(98)00006-5, 1998.
BPS: Statistik Indonesia-Statistical Yearbook of Indonesia, Badan Pusat Statistik, 2009.
Breiman, L.: Random Forests, Machine Learning, 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001.
Burnett, R. T., Pope III, C. A., Ezzati, M., Olives, C., Lim, S. S., Mehta, S., Shin, H. H., Singh, G., Hubbell, B., and Brauer, M.: An integrated risk function for estimating the global burden of disease attributable to ambient fine particulate matter exposure, Environ. Health Pers., 122, 397, doi:10.1289/ehp.1307049, 2014.
Chen, T.-M., Kuschner, W. G., Gokhale, J., and Shofer, S.: Outdoor air pollution: ozone health effects, Am. J. Med. Sci., 333, 244–248, 2007.
Download
Short summary
Our study shows that across ASEAN 50 cities, these model results reveal that 39 % of observed low-visibility days can be explained by either fossil fuel burning or biomass burning emissions alone, a further 20 % by fossil fuel burning alone, a further 8 % by biomass burning alone, and a further 5 % by a combination of fossil fuel burning and biomass burning. The remaining 28 % of observed low-visibility days remains unexplained, likely due to emissions sources that have not been accounted for.
Altmetrics
Final-revised paper
Preprint