Modeling of traffic-related pollutant concentration at the signalized intersection and possible emission reduction scenarios in Bangkok | |
| Author | Su Myat Kyaw |
| Call Number | AIT Thesis no.EV-19-21 |
| Subject(s) | Traffic congestion--Environmental aspects--Thailand--Bangkok--Management Carbon dioxide mitigation--Thailand--Bangkok Air quality management--Thailand--Bangkok |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Environmental Engineering and Management |
| Publisher | Asian Institute of Technology |
| Abstract | Traffic congestion is one of the urban problems in many developing countries, including Bangkok. The increasing traffic volume in Bangkok can be occurred annually with the rate much faster than an expansion of the road network. At the signalized intersection, most of the vehicles are idling when waiting at the red traffic light. During idling mode, emission of PM10 and CO are much higher than emission during vehicles operating in other modes. In this study, PM10 and CO emissions at the Phayathai intersection in Bangkok were estimated with the use of CAL3QHC model which includes the queue length algorithm with different red light time at the intersection. Inputs information to the model included road layout, different traffic volume, different vehicle speed at the intersection, traffic light time, emission factors, wind direction and wind speed, and other meteorological parameters. The model was run for 23 days between January – March 2019, including both weekdays and weekends. The CAL3QHC model outputs of PM10 and CO concentrations were validated with the PM10 and CO concentration from the roadside air quality monitoring station near the intersection. The model validation results showed that both pollutant concentration from the model and monitoring were in good agreement. Finally, the pollutant concentration reduction scenarios were recommended based on two reducing idling emission reduction scenarios for the selected intersection. The pollutant concentration reduction scenarios were considered using the validated CAL3QHC model with the setup of intersection layout. The first scenario was to shorten the red light signal time to reduce pollutant concentration at the intersection. When the red light time were shorten by 30%, the concentration of pollutants decreased by 21% of CO concentration and 11% of PM10. The second scenario was to replace non-catalytic converters with catalytic converters in vehicles which can reduce 53% of CO concentration. |
| Year | 2019 |
| 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 and Management (EV) |
| Chairperson(s) | Ekbordin Winijkul; |
| Examination Committee(s) | Shipin, Oleg V.;Xue, Wenchao; |
| Scholarship Donor(s) | Deutscher Akademischer Austausch Dienst (DAAD), Germany ;Asian Institute of Technology Fellowship; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2019 |