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Analysis of Air Pollution and Health Impacts in Thailand Using Modeling and Satellite Remote Sensing
Analysis of Air Pollution and Health Impacts in Thailand Using Modeling and Satellite Remote Sensing
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105108
- ISBN
- 9798273301443
- DDC
- 551.5
- 서명/저자
- Analysis of Air Pollution and Health Impacts in Thailand Using Modeling and Satellite Remote Sensing
- 발행사항
- [Sl] : University of Colorado at Boulder, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 228 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-07, Section: A.
- 주기사항
- Advisor: Henze, Daven.
- 학위논문주기
- Thesis (Ph.D.)--University of Colorado at Boulder, 2025.
- 초록/해제
- 요약Air pollution is a critical environmental and public health issue in Thailand. Exposure to fine particulate matter with an aerodynamic diameter of less than 2.5 micrometers (PM2.5) and nitrogen oxides (NOx = NO + NO2) is associated with severe health risks, including respiratory and cardiovascular diseases. PM2.5 can penetrate our lungs and enter the bloodstream. NOx also contributes to the formation of secondary PM2.5 and is linked to pediatric asthma. To support effective air quality management and mitigation strategies, a comprehensive understanding of air pollution behavior in Thailand is essential. My thesis employs the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) to simulate air pollution in Thailand. Emission inventories are a key input to WRF-Chem simulations, and multiple global and regional inventories of anthropogenic and biomass burning emissions have been developed. I evaluate the performance of WRF-Chem using different inventories by comparing WRF-Chem results against remote sensing observations (MODIS AOD, MOPITT CO) and ground-based stations from the Pollution Control Department (PCD) of Thailand. My results suggest that CAMS-GLOB-ANT and FINN2.5 MOD - with scaling factors - are suitable for Thailand. To inform PM2.5 mitigation efforts, I conduct source attribution using the brute-force method. Results show that transboundary pollution and domestic non-crop burning are the primary sources of PM2.5 during the haze season (February to April) in 2019 for Thailand. In North Thailand, local non-crop burning is the dominant contributor, while PM2.5 in the Bangkok Metropolitan Region comes from a mix of sources. I estimate the health burden from PM2.5 exposure and find that nearly half of the annual health burden in 2019 occurs during the three-month haze period. These findings highlight the critical need for reducing non-crop burning both within Thailand and in neighboring countries. The lack of a local emission inventory poses challenges for air pollution modeling. Consequently, top-down emission adjustment with satellite data is employed in this study to refine local NOx emissions using the Geostationary Environment Monitoring Spectrometer (GEMS) satellite. I update the 2023 CAMS-GLOB-ANT inventory using iterative mass balance (IMB) and iterative finite-difference mass balance (IFDMB) methods. This analysis demonstrates that top-down emission adjustment with GEMS improves NO2 simulations compared to TROPOMI and offers the potential to refine diurnal variability across Thailand. Overall, this thesis provides a comprehensive analysis of air pollution in Thailand using WRF-Chem. It identifies optimal model configurations, quantifies source contributions and health impacts, and demonstrates the potential of satellite data for refining emissions inventories in Thailand.
- 일반주제명
- Atmospheric sciences
- 일반주제명
- Mechanical engineering
- 일반주제명
- Southeast Asian studies
- 키워드
- Air pollution
- 키워드
- Air quality
- 키워드
- PM2.5
- 키워드
- Thailand
- 기타저자
- University of Colorado at Boulder Mechanical Engineering
- 기본자료저록
- Dissertations Abstracts International. 87-07A.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798273301443
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■040 ▼aMiAaPQ▼cMiAaPQ
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■1001 ▼aThongsame, Worapop.
■24510▼aAnalysis of Air Pollution and Health Impacts in Thailand Using Modeling and Satellite Remote Sensing
■260 ▼a[Sl]▼bUniversity of Colorado at Boulder▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a228 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-07, Section: A.
■500 ▼aAdvisor: Henze, Daven.
■5021 ▼aThesis (Ph.D.)--University of Colorado at Boulder, 2025.
■520 ▼aAir pollution is a critical environmental and public health issue in Thailand. Exposure to fine particulate matter with an aerodynamic diameter of less than 2.5 micrometers (PM2.5) and nitrogen oxides (NOx = NO + NO2) is associated with severe health risks, including respiratory and cardiovascular diseases. PM2.5 can penetrate our lungs and enter the bloodstream. NOx also contributes to the formation of secondary PM2.5 and is linked to pediatric asthma. To support effective air quality management and mitigation strategies, a comprehensive understanding of air pollution behavior in Thailand is essential. My thesis employs the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) to simulate air pollution in Thailand. Emission inventories are a key input to WRF-Chem simulations, and multiple global and regional inventories of anthropogenic and biomass burning emissions have been developed. I evaluate the performance of WRF-Chem using different inventories by comparing WRF-Chem results against remote sensing observations (MODIS AOD, MOPITT CO) and ground-based stations from the Pollution Control Department (PCD) of Thailand. My results suggest that CAMS-GLOB-ANT and FINN2.5 MOD - with scaling factors - are suitable for Thailand. To inform PM2.5 mitigation efforts, I conduct source attribution using the brute-force method. Results show that transboundary pollution and domestic non-crop burning are the primary sources of PM2.5 during the haze season (February to April) in 2019 for Thailand. In North Thailand, local non-crop burning is the dominant contributor, while PM2.5 in the Bangkok Metropolitan Region comes from a mix of sources. I estimate the health burden from PM2.5 exposure and find that nearly half of the annual health burden in 2019 occurs during the three-month haze period. These findings highlight the critical need for reducing non-crop burning both within Thailand and in neighboring countries. The lack of a local emission inventory poses challenges for air pollution modeling. Consequently, top-down emission adjustment with satellite data is employed in this study to refine local NOx emissions using the Geostationary Environment Monitoring Spectrometer (GEMS) satellite. I update the 2023 CAMS-GLOB-ANT inventory using iterative mass balance (IMB) and iterative finite-difference mass balance (IFDMB) methods. This analysis demonstrates that top-down emission adjustment with GEMS improves NO2 simulations compared to TROPOMI and offers the potential to refine diurnal variability across Thailand. Overall, this thesis provides a comprehensive analysis of air pollution in Thailand using WRF-Chem. It identifies optimal model configurations, quantifies source contributions and health impacts, and demonstrates the potential of satellite data for refining emissions inventories in Thailand.
■590 ▼aSchool code: 0051.
■650 4▼aAtmospheric sciences
■650 4▼aMechanical engineering
■650 4▼aSoutheast Asian studies
■653 ▼aAir pollution
■653 ▼aAir quality
■653 ▼aAir quality modeling
■653 ▼aPM2.5
■653 ▼aThailand
■653 ▼aWeather Research and Forecasting model coupled with Chemistry
■690 ▼a0725
■690 ▼a0222
■690 ▼a0548
■71020▼aUniversity of Colorado at Boulder▼bMechanical Engineering.
■7730 ▼tDissertations Abstracts International▼g87-07A.
■790 ▼a0051
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17359361▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
