Strategy Design of PM2.5 Controlling for Northern Thailand

Abstract The emission of fine particulate matter (PM2.5) in dry season from the open biomass burning has caused a long-term negative impact on residents’ health in Northern Thailand. This study takes Chiang Mai and Chiang Rai provinces in Northern Thailand as the study areas to identify pollution ep...

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Main Authors: Karuna Jainontee, Prapat Pongkiatkul, Ying-Lin Wang, Roy J. F. Weng, Yi-Ting Lu, Ting-Shiuan Wang, Wang-Kun Chen
Format: Article
Language:English
Published: Springer 2023-03-01
Series:Aerosol and Air Quality Research
Subjects:
Online Access:https://doi.org/10.4209/aaqr.220432
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author Karuna Jainontee
Prapat Pongkiatkul
Ying-Lin Wang
Roy J. F. Weng
Yi-Ting Lu
Ting-Shiuan Wang
Wang-Kun Chen
author_facet Karuna Jainontee
Prapat Pongkiatkul
Ying-Lin Wang
Roy J. F. Weng
Yi-Ting Lu
Ting-Shiuan Wang
Wang-Kun Chen
author_sort Karuna Jainontee
collection DOAJ
description Abstract The emission of fine particulate matter (PM2.5) in dry season from the open biomass burning has caused a long-term negative impact on residents’ health in Northern Thailand. This study takes Chiang Mai and Chiang Rai provinces in Northern Thailand as the study areas to identify pollution episodes, analyze PM2.5 source trajectories, and finally propose pollution control strategies accordingly. PM2.5 levels during 2019–2021 of three representative air pollution monitoring stations (i.e., Chaing Mai-35T, Chiang Rai-57T, and Mae Sai-73T) in these two provinces were collected and analyzed. The Air Quality Index (AQI) defined by PM2.5 level higher than 91 µg m−3 causing serious adverse health effects was adopted to define periods having pollution levels, and the days of the air pollution episodes were identified. Based on these episodes, we applied the backward trajectory model to identify the sources of pollutants. Results showed that PM2.5 levels were significantly higher between February to April compared with other months during 2019–2021 at all three monitoring stations, indicating the severity of PM2.5 episode during the dry season. The backward trajectory demonstrated that air mass transported through the Northern Thailand or nearby mountain areas (categorized as long- or short-transport-distance) contributed up to 21.6% and 75.9% of the total air mass, respectively. Although residents in these mountainous areas are accustomed to the biomass burning, we suggested that there should be urgent needs for the improvement of the long-term air quality in these two provinces. Therefore, this study proposes some control strategies including improvement of prevention knowledge, increase of the risk perception, cultivation of the protection behavior, and intensification of the social influence. In addition to reducing biomass burning pollution, this improvement plan also has a co-benefit of achieving resources recycling concomitantly. Providing effective management strategies may reduce the adverse health effects to Thai residents.
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spelling doaj-art-090abbd016de47379d2b6f681aae2eef2025-02-09T12:22:06ZengSpringerAerosol and Air Quality Research1680-85842071-14092023-03-0123612210.4209/aaqr.220432Strategy Design of PM2.5 Controlling for Northern ThailandKaruna Jainontee0Prapat Pongkiatkul1Ying-Lin Wang2Roy J. F. Weng3Yi-Ting Lu4Ting-Shiuan Wang5Wang-Kun Chen6Faculty of Science and Agricultural Technology, Rajamangala University of Technology LannaDepartment of Environmental Engineering, King Mongkut’s University of Technology ThonburiSchool of Public Health, Taipei Medical UniversityCameo Inc.Cameo Inc.Department of Resources Engineering, National Cheng Kung UniversitySoutheast Bangkok CollegeAbstract The emission of fine particulate matter (PM2.5) in dry season from the open biomass burning has caused a long-term negative impact on residents’ health in Northern Thailand. This study takes Chiang Mai and Chiang Rai provinces in Northern Thailand as the study areas to identify pollution episodes, analyze PM2.5 source trajectories, and finally propose pollution control strategies accordingly. PM2.5 levels during 2019–2021 of three representative air pollution monitoring stations (i.e., Chaing Mai-35T, Chiang Rai-57T, and Mae Sai-73T) in these two provinces were collected and analyzed. The Air Quality Index (AQI) defined by PM2.5 level higher than 91 µg m−3 causing serious adverse health effects was adopted to define periods having pollution levels, and the days of the air pollution episodes were identified. Based on these episodes, we applied the backward trajectory model to identify the sources of pollutants. Results showed that PM2.5 levels were significantly higher between February to April compared with other months during 2019–2021 at all three monitoring stations, indicating the severity of PM2.5 episode during the dry season. The backward trajectory demonstrated that air mass transported through the Northern Thailand or nearby mountain areas (categorized as long- or short-transport-distance) contributed up to 21.6% and 75.9% of the total air mass, respectively. Although residents in these mountainous areas are accustomed to the biomass burning, we suggested that there should be urgent needs for the improvement of the long-term air quality in these two provinces. Therefore, this study proposes some control strategies including improvement of prevention knowledge, increase of the risk perception, cultivation of the protection behavior, and intensification of the social influence. In addition to reducing biomass burning pollution, this improvement plan also has a co-benefit of achieving resources recycling concomitantly. Providing effective management strategies may reduce the adverse health effects to Thai residents.https://doi.org/10.4209/aaqr.220432Northern ThailandFine particulate matterPollution episodeHYSPLIT modelControl strategy
spellingShingle Karuna Jainontee
Prapat Pongkiatkul
Ying-Lin Wang
Roy J. F. Weng
Yi-Ting Lu
Ting-Shiuan Wang
Wang-Kun Chen
Strategy Design of PM2.5 Controlling for Northern Thailand
Aerosol and Air Quality Research
Northern Thailand
Fine particulate matter
Pollution episode
HYSPLIT model
Control strategy
title Strategy Design of PM2.5 Controlling for Northern Thailand
title_full Strategy Design of PM2.5 Controlling for Northern Thailand
title_fullStr Strategy Design of PM2.5 Controlling for Northern Thailand
title_full_unstemmed Strategy Design of PM2.5 Controlling for Northern Thailand
title_short Strategy Design of PM2.5 Controlling for Northern Thailand
title_sort strategy design of pm2 5 controlling for northern thailand
topic Northern Thailand
Fine particulate matter
Pollution episode
HYSPLIT model
Control strategy
url https://doi.org/10.4209/aaqr.220432
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AT yitinglu strategydesignofpm25controllingfornorthernthailand
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