Title page for ETD etd-122398-171321


Type of Document Master's Thesis
Author Charusombat, Umarporn
Author's Email Address ucharuso@vt.edu
URN etd-122398-171321
Title Air Pollution Distribution under an Elevated Train Station

Air Pollution Distribution under an Elevated Train Station

(A Case Study Downtown Bangkok, Silom Station)

Degree Master of Engineering
Department Environmental Engineering
Advisory Committee
Advisor Name Title
Hughes, J. Martin Committee Chair
Gallagher, Daniel L. Committee Member
Little, John C. Committee Member
Keywords
  • Air Pollution Dispersion
  • Calm wind condition
  • Train Station
  • Wind Tunnel
Date of Defense 1998-12-14
Availability unrestricted
Abstract

To solve traffic congestion in Bangkok, the Bangkok Mass Transit system (BTS) constructed an overhead rail system with 24 stations. The BTS train station, S2, in this study area covers Silom road and obstructs the air pollutant dispersion in a congestion area. The 1: 200 physical model of the buildings along Silom road with the train station, S2, was simulated in this research to determine the air pollutant dispersion in the train station area. A tracer gas (CO2) was emitted from a simulated line source with emission rates of 0.383, 0.681, 1.293, 2.586, 5.177 and 10.77 mg/min to simulate actual pollutant emission rates. The CO2 gas was sampled at 55 locations in the model. The Kriging method was used to interpolate the data in the study area. . Emission rates were used to make the difference between measured CO2 in the model area and ambient CO2 large enough to be differentiated. Regression Analysis was used to relate analytically the mass emission rate to the CO2 concentration. The results indicate that the maximum CO concentrations exceed the 30 ppm Bangkok standard along the Southeast side of Silom Road at the passenger platform level. Drivers will acquire more harmful levels of CO than pedestrians at street level, especially near the Southwest end of the train station. NO2 concentrations do not exceed the standard (0.17 ppm) at street level. The highest predicted VOC is 1.05 ppm. These results may be used in the future for numerical modeling study.

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