The relationship between air pollution and traffic characteristics for different landscape types in Bangkok, Thailand | |
| Author | Pattaraporn Somboonphol |
| Call Number | AIT Thesis no.RS-22-09 |
| Subject(s) | Air Quality--Thailand--Bangkok Traffic engineering--Thailand--Bangkok |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Abstract | Transportation is one of pollutant sources which leads to the urban air pollution issue such as carbon monoxide and particulate matter. In this study, the analysis of the relationship between emission and ambient air quality, landscape, traffic speed, and traffic volume in Bangkok in temporal period were performed. Additionally, the estimated emission pollutant model is used to generate the amount of emission pollution. This study aims to evaluate emission pollutant by using urban landscape characteristic and traffic data. The overall method is to generate the emission pollutant and compare to the air quality variance in different areas. Firstly, traffic data is collected by manually observation approach for traffic volume generating and vehicle type categorization. Secondly, the YOLO and DeepSORT deep learning algorithms are used to calculate the traffic speed. Thirdly, the emission pollutant is generated via the estimation emission pollutant model. Finally, compare the amount emission pollutant from the model to the amount of ambient air pollution from the monitoring station. Traffic volume, traffic speed, and vehicle type have different correlations to the air quality depending on the type of pollution. Traffic volume and traffic speed have relation to the amount of ambient CO, have low relation to the amount of PM10. While traffic volume and traffic speed have no relation to the amount of ambient PM2.5. And in vehicle type relationship term, vehicle type has no relation to the amount of ambient pollution because it depends on traffic volume of each vehicle type in each period. Moreover, landscape type in another factor which results in different variance of pollution, that means low road-width ratio type, where has higher building height and larger road width, leads to higher pollution variance in that area. Lastly, comparing of the amount of emission pollution to the amount of ambient air pollution was found that the amount of PM2.5 has no correlation, and the amount of PM10 has low correlation. While the amount of emission CO has moderately correlation. The results in this study can explain the reasons of low correlation which consist of traffic condition is not the main source of particulate matter, and the detection of particulate matter is different from the detection of chemical pollution in PCD station. Therefore, the different of pollution detection in different types lead to difficult to compare chemical pollution and particulate matter. |
| Year | 2022 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing and Geographic Information Systems (RS) |
| Chairperson(s) | Sarawut Ninsawat |
| Examination Committee(s) | Miyazaki, Hiroyuki;Sanit Arunplod |
| Scholarship Donor(s) | Royal Thai Government Fellowship |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2022 |