Maggie Chel Gee Ooi
Improving prediction of trans-boundary biomass burning plume dispersion: from northern peninsular Southeast Asia to downwind western North Pacific Ocean.
Ooi, Maggie Chel Gee; Chuang, Ming Tung; Fu, Joshua S.; Kong, Steven S.; Huang, Wei Syun; Wang, Sheng Hsiang; Pimonsree, Sittichai; Chan, Andy; Pani, Shantanu Kumar; Lin, Neng Huei
Authors
Ming Tung Chuang
Joshua S. Fu
Steven S. Kong
Wei Syun Huang
Sheng Hsiang Wang
Sittichai Pimonsree
Andy Chan
Shantanu Kumar Pani
Neng Huei Lin
Abstract
Plumes from the boreal spring biomass burning (BB) in northern peninsular Southeast Asia (nPSEA) are lifted into the subtropical jet stream and transported and deposited across nPSEA, South China, Taiwan and even the western North Pacific Ocean. This paper as part of the Seven SouthEast Asian Studies (7-SEAS) project effort attempts to improve the chemical weather prediction capability of the Weather Research and Forecasting coupled with the Community Multiscale for Air Quality (WRF-CMAQ) model over a vast region, from the mountainous near-source burning sites at nPSEA to its downwind region. Several sensitivity analyses of plume rise are compared in the paper, and it is discovered that the initial vertical allocation profile of BB plumes and the plume rise module (PLMRIM) are the main reasons causing the inaccuracies of the WRF-CMAQ simulations. The smoldering emission from the Western Regional Air Partnership (WRAP) empirical algorithm included has improved the accuracies of PM10, O3 and CO at the source. The best performance at the downwind sites is achieved with the inline PLMRIM, which accounts for the atmospheric stratification at the mountainous source region with the FINN burning emission dataset. Such a setup greatly improves not only the BB aerosol concentration prediction over near-source and receptor ground-based measurement sites but also the aerosol vertical distribution and column aerosol optical depth of the BB aerosol along the transport route. The BB aerosols from nPSEA are carried by the subtropical westerlies in the free troposphere to the western North Pacific, while BB aerosol has been found to interact with the local pollutants in the Taiwan region through three conditions: (a) overpassing western Taiwan and entering the central mountain area, (b) mixing down to western Taiwan, (c) transport of local pollutants upwards and mixing with a BB plume on higher ground. The second condition, which involves the prevailing high-pressure system from Asian cold surge, is able to impact most of the population in Taiwan.
Citation
OOI, M.C.-G., CHUANG, M.-T., FU, J.S., KONG, S.S., HUANG, W.-S., WANG, S.-H., PIMONSREE, S., CHAN, A., PANI, S.K. and LIN, N.-H. 2021. Improving prediction of trans-boundary biomass burning plume dispersion: from northern peninsular Southeast Asia to downwind western North Pacific Ocean. Atmospheric chemistry and physics [online], 21(16), pages 12521-12541. Available from: https://doi.org/10.5194/acp-21-12521-2021
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 19, 2021 |
Online Publication Date | Aug 20, 2021 |
Publication Date | Aug 31, 2021 |
Deposit Date | May 28, 2024 |
Publicly Available Date | May 28, 2024 |
Journal | Atmospheric chemistry and physics |
Print ISSN | 1680-7316 |
Electronic ISSN | 1680-7324 |
Publisher | European Geosciences Union |
Peer Reviewed | Peer Reviewed |
Volume | 21 |
Issue | 16 |
Pages | 12521-12541 |
DOI | https://doi.org/10.5194/acp-21-12521-2021 |
Keywords | Chemical weather predictions; Air quality; Weather forecasting; Gaseous pollutants; Aerosol pollutants; Public health |
Public URL | https://rgu-repository.worktribe.com/output/2055095 |
Additional Information | This article has been published with separate supporting information. This supporting information has been incorporated into a single file on this repository and can be found at the end of the file associated with this output. |
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
Copyright Statement
© Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.
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