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

Numerical Case Study of the Aerosol-Cloud-Interactions in Warm Boundary Layer Clouds over the Eastern North Atlantic with an Interactive Chemistry Module
Hsiang-He Lee, Xue Zheng, Shaoyue Qiu, and Yuan Wang
EGUsphere, https://doi.org/10.5194/egusphere-2024-3199,https://doi.org/10.5194/egusphere-2024-3199, 2024
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
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
Revised manuscript not accepted
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

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Warming effects of reduced sulfur emissions from shipping
Masaru Yoshioka, Daniel P. Grosvenor, Ben B. B. Booth, Colin P. Morice, and Ken S. Carslaw
Atmos. Chem. Phys., 24, 13681–13692, https://doi.org/10.5194/acp-24-13681-2024,https://doi.org/10.5194/acp-24-13681-2024, 2024
Short summary
The key role of atmospheric absorption in the Asian summer monsoon response to dust emissions in CMIP6 models
Alcide Zhao, Laura J. Wilcox, and Claire L. Ryder
Atmos. Chem. Phys., 24, 13385–13402, https://doi.org/10.5194/acp-24-13385-2024,https://doi.org/10.5194/acp-24-13385-2024, 2024
Short summary
Multi-model effective radiative forcing of the 2020 sulfur cap for shipping
Ragnhild Bieltvedt Skeie, Rachael Byrom, Øivind Hodnebrog, Caroline Jouan, and Gunnar Myhre
Atmos. Chem. Phys., 24, 13361–13370, https://doi.org/10.5194/acp-24-13361-2024,https://doi.org/10.5194/acp-24-13361-2024, 2024
Short summary
Representation of iron aerosol size distributions of anthropogenic emissions is critical in evaluating atmospheric soluble iron input to the ocean
Mingxu Liu, Hitoshi Matsui, Douglas S. Hamilton, Sagar D. Rathod, Kara D. Lamb, and Natalie M. Mahowald
Atmos. Chem. Phys., 24, 13115–13127, https://doi.org/10.5194/acp-24-13115-2024,https://doi.org/10.5194/acp-24-13115-2024, 2024
Short summary
Revealing dominant patterns of aerosol regimes in the lower troposphere and their evolution from preindustrial times to the future in global climate model simulations
Jingmin Li, Mattia Righi, Johannes Hendricks, Christof G. Beer, Ulrike Burkhardt, and Anja Schmidt
Atmos. Chem. Phys., 24, 12727–12747, https://doi.org/10.5194/acp-24-12727-2024,https://doi.org/10.5194/acp-24-12727-2024, 2024
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