AI SearchEstimation of fine particulate matter concentration using geostationary satellite over the Lower Mekong Region (Record no. 40231)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04261nas a2200421 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260818112519.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260616s20269999th u ms t 000 eng d |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b12507659 |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Thesis no.EV-26-01 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Jang, Beomgeun |
| 245 10 - TITLE STATEMENT | |
| Title | Estimation of fine particulate matter concentration using geostationary satellite over the Lower Mekong Region |
| 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. | 2026 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 96 leaves : |
| Other physical details | ill.+ |
| Accompanying material | 1 online resource |
| 490 1# - SERIES STATEMENT | |
| Series statement | Thesis ; |
| Volume/sequential designation | no. EV-26-01 |
| 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, 2026 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This study aims to predict ground-level PM₂.₅ concentrations in the Lower Mekong River region by exploiting the high temporal resolution of the Geostationary Environment Monitoring Spectrometer (GEMS). Satellite remote exploration provides an important alternative to the supplement lack of ground monitoring networks in Southeast Asia. Accurate monitoring of ground-level particulate matter PM₂.₅ in Southeast Asia is often challenging by the retrieval biases and seasonal and diurnal noises in geostationary satellite retrievals. This study addresses these challenges by developing two-stage machine learning framework designed to enhance the utility of GEMS data over the Lower Mekong Region.In the first stage, an XGBoost-based calibration model was implemented to refine GEMS Aerosol Optical Depth (AOD) across three primary spectral bands (350 nm, 440 nm, and 550 nm). By integrating ground-based observations from AERONET and PANDORA networks, the model successfully mitigated systematic dual-biases, correcting overestimation at low AOD levels and underestimation during high AOD loads. The calibration significantly improved retrieval accuracy, raising R 2 values from an initial range of 0.49{u2013}0.59 to 0.92{u2013}0.95. Furthermore, the framework effectively neutralized diurnal variations and early-morning noise, ensuring a physically consistent aerosol signal.The second stage XGBoost model leveraged these calibrated AOD products as primary predictors for estimating ground-level PM₂.₅ concentration. The model demonstrated sophisticated predictive logic, particularly utilizing the UV-spectrum AOD and auxiliary indices sensitive to biomass burning aerosols, which are prevalent in the study area. Validation via 10-fold cross-validation revealed an overall R 2 of 0.87, a dramatic improvement over the operational GEMS Level 4 PM₂.₅ product{u2019}s performance (R 2 = 0.43) in the same region. These results highlight the critical necessity of localized, multi-stage modeling to overcome the limitations of global operational products. This research provides a expandable architecture for incorporating multiple ground observation and satellite datasets from various operating entities and data quality, to enable high spatio-temporal resolution assessment of air quality management in Southeast Asia. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Air quality |
| Geographic subdivision | Mekong River Region |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Air |
| General subdivision | Pollution |
| Geographic subdivision | Mekong River Region |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Environmental monitoring |
| Geographic subdivision | Mekong River Region |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Geostationary satellites |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ekbordin Winijkul, |
| Relator term | Chairperson |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Thammarat Koottatep, |
| Relator term | Examination Committee |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ghimire, Anish, |
| Relator term | Examination Committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | AIT Scholarship, |
| 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-26-01 |
| 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=B24435">http://203.159.5.9/ait-thesis/detail.php?q=B24435</a> |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | .b12507659 |
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| 902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) | |
| a | 260622 |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 260617 |
| First date, FD (RLIN) | m |
| -- | h |
| -- | a |
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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 | 67-Electronic Resource |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 40-Archives |
| 909 ## - LOCAL ITEMS USED | |
| Barcode | Barcode : - |
| CREATED | CREATED : 2026-06-16 |
| RECORD Id | RECORD # : i13604909 |
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| Barcode | Barcode : 30050120421085 |
| CREATED | CREATED : 2026-06-16 |
| RECORD Id | RECORD # : i13605665 |
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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 | Date last seen | Copy number | Price effective from | Koha item type | Barcode |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 18/08/2026 | AIT Thesis no.EV-26-01 | 18/08/2026 | 1 | 18/08/2026 | 67-Electronic Resource | |||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 18/08/2026 | AIT Thesis no.EV-26-01 | 18/08/2026 | 1 | 18/08/2026 | 40-Archives | 30050120421085 |