Development of near real-time emission inventory for air quality modeling : a case study in Pathum Thani Province, Thailand | |
| Author | Soraoud Sukwan |
| Call Number | AIT Thesis no.EV-23-13 |
| Subject(s) | Air--Pollution--Thailand--Pathum Thani Air quality--Thailand--Pathum Thani Emissions |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Environmental Engineering and Management |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ;no. EV-23-13 |
| Abstract | This study estimates the emissions from three sectors, namely industrial, open burning, and transportation, which are major sources of particulate matter in Pathum Thani province. The study estimates the emissions of various pollutants, such as PM10, PM2.5, NOx, CO, SO2, NH3, CO2, CH4, N2O, BC, OC, and NMVOC. For the industrial sector, emissions from industries that use Continuous Emission Monitoring Systems (CEMs) was calculated using the CEMs. For industries that do not use CEMs, the emission was estimated based on fuel consumption, horsepower, and emission factors. The total estimated emissions for the industrial sector in a year are 1,377.89 tons of NOx, 4,538.53 tons of CO, 70.58 tons of SO2, 281.07 tons of NMVOC, 60.54 tons of NH3, 437.62 tons of PM10, 252.93 tons of PM2.5, 10.24 tons of BC, 14.34 tons of OC, 77.84 tons of CH4, 44,802.41 tons of CO2, and 8.88 tons of N2O. To estimate the emissions from the open burning sector, the study analyzed data from three satellites: VIIRS, MODIS, and Himawari, to identify hotspots. The VIIRS satellite was selected for this study because it has the highest resolution and complete data compared to the other two satellites. In 2022, there were 140 hotspots detected in rice paddy fields. The total estimated emissions from open burning in Pathum Thani province in 2022 for CO, CH4, PM10, PM2.5, NOx, SO2, EC, OC, NMVOC, N2O, and NH3 are 2,871.84 tons, 296.14 tons, 281.01 tons, 256.30 tons, 70.41 tons, 5.56 tons, 15.75 tons, 92.33 tons, 196.90 tons, 7.31 tons, and 115.33 tons, respectively. The highest emissions occurred during March and April, which is the dry season when farmers burn their fields to prepare for the next rice season. For the transportation sector, the study used the Underwood model to estimate emissions. This model was selected because it had the highest correlation coefficient (R2) between speed and density. The study also considered vehicle composition, technology distribution, and emission factors that vary at different speeds. The total estimated emissions from the transportation sector in 2022 in Pathum Thani province for CO, HC, NOx, and PM were 41,084.69 tons, 9,698.03 tons, 20,134.74 tons, and 3,124.87 tons, respectively. Emissions were highest during the daytime when traffic volume was high and lowest during the nighttime when traffic volume was low. |
| Year | 2023 |
| Corresponding Series Added Entry | Asian Institute of Technology.Thesis ;no. EV-23-13 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC)) |
| Academic Program/FoS | Environmental Engineering (EV) |
| Chairperson(s) | Ekbordin Winijkul |
| Examination Committee(s) | Cruz, Simon Guerrero;Mongkol Ekpanyapong |
| Scholarship Donor(s) | Royal Thai Government Fellowship |
| Degree | Thesis (M. Sc.) - Asian Institute of Technology, 2023 |