AI SearchAssessing health impacts of fine particulate matter and ozone concentration in Thailand using machine learning and satellite data (Record no. 8785)
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| 000 -LEADER | |
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| fixed length control field | 04449nas a2200397 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260817163434.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 251104s20259999th u ms t 000 eng d |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b1246742x |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Thesis no.EV-25-10 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Pakkapong Chitchum |
| 245 10 - TITLE STATEMENT | |
| Title | Assessing health impacts of fine particulate matter and ozone concentration in Thailand using machine learning and satellite data |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Pathum Thani, Thailand : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 171 leaves : |
| Other physical details | ill.+ |
| Accompanying material | 1 online resource |
| 490 1# - SERIES STATEMENT | |
| Series statement | Thesis ; |
| Volume/sequential designation | no. EV-25-10 |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Environmental Engineering and Management |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M. Sc.) - Asian Institute of Technology, 2025 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | In Thailand, key environmental and public health concerns center on exposure to fine particulate matter with an aerodynamic diameter of 2.5 micrometers or less (PM2.5), along with ground-level ozone (O3). These pollutants have been widely studied in low- and middle-income countries over recent decades due to their adverse health effects. Despite this, air quality monitoring infrastructure in Thailand remains limited, with 65 out of 77 provinces having only one or two monitoring stations. This leaves substantial areas without direct air quality measurements. To address this gap, satellite-based observations have become instrumental in estimating the spatial distribution of PM2.5 and O3 concentrations. In particular, data from Aerosol Optical Depth (AOD) and satellite-derived ozone products are leveraged through machine learning techniques, providing a valuable complement to traditional ground-based monitoring in under resourced regions. This study aimed to estimate PM2.5 and O3 concentrations across Thailand for the year 2023, using a 9 {u00D7} 9 km2 grid resolution. Three models were employed: a multiple linear regression (MLR) model, random forest (RF) and extreme gradient boosting (XGBoost). These models incorporated data from the Geostationary Environment Monitoring Spectrometer (GEMS). The accuracy of AOD and O3 products from GEMS was evaluated against measurements from Thailand{u2019}s AERONET station. Additionally, meteorological inputs were derived from the Weather Research and Forecasting (WRF) model and validated using data from the Pollution Control Department (PCD). GEMS data showed high agreement with AERONET observations, with coefficients of determination (R2) of 0.845 for AOD and 0.999 for O3. Among the modeling approaches, the random forest model performed best in estimating PM2.5 concentrations, achieving an R2 of 0.967 and a root mean square error (RMSE) of 8.058. However, the model{u2019}s prediction for ground-level O3 showed a low correlation (r = -0.092), indicating limited reliability for O3 estimation in this context. Given these findings, only PM2.5 estimates were used for health impact assessments. The study focused on the short-term effects of PM2.5 exposure on stroke mortality at the provincial level, following World Health Organization (WHO) guidelines. Results indicated higher PM2.5-related stroke mortality in northern provinces such as Nan, Chiang Rai, Chiang Mai, Sukhothai, and Phayao. In contrast, southern and eastern regions experienced the lowest rates of stroke fatalities. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Air |
| General subdivision | Pollution |
| -- | Health aspects |
| Geographic subdivision | Thailand |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Air quality |
| General subdivision | Data processing |
| Geographic subdivision | Thailand |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Atmospheric ozone |
| General subdivision | Remote sensing |
| Geographic subdivision | Thailand |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ekbordin Winijkul, |
| Relator term | Chairperson |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Xue, Wenchao, |
| Relator term | Examination Committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Her Majesty the Queen{u2019}s Scholarships (Thailand), |
| Relator term | Scholarship Donor |
| 810 2# - SERIES ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology. |
| Title of a work | Thesis ; |
| Volume/sequential designation | no. EV-25-10 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/detail.php?q=B22998">http://203.159.5.9/ait-thesis/detail.php?q=B22998</a> |
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| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 251107 |
| First date, FD (RLIN) | m |
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| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 40-Archives |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 67-Electronic Resource |
| 909 ## - LOCAL ITEMS USED | |
| Barcode | Barcode : 30050120423727 |
| CREATED | CREATED : 2025-04-11 |
| RECORD Id | RECORD # : i13560682 |
| LPATRON | LPATRON : 0 |
| LCHKIN | LCHKIN : - |
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| CREATED | CREATED : 2025-04-11 |
| RECORD Id | RECORD # : i13560694 |
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| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT Thesis no.EV-25-10 | 30050120423727 | 17/08/2026 | 1 | 17/08/2026 | 40-Archives | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT Thesis no.EV-25-10 | 17/08/2026 | 1 | 17/08/2026 | 67-Electronic Resource |