Modeling of Air Pollutants Released from Highway Traffic in Taipei Using Caline
Date Issued
2006
Date
2006
Author(s)
Chen, Hsien-Wen
DOI
zh-TW
Abstract
This study defines the two freeways that pass through Taipei City as the air pollution sources with carbon monoxide, nitrogen dioxide and sulfur dioxide selected as the pollutants. This study is divided into two parts:
The first part is an estimate of emissions based on the two national freeways’ total traffic volume for 2004. For National Freeway No. 1, the year’s total volume of carbon monoxide emissions was 1394.3 metric tons, the total volume of nitrogen dioxide emissions was 2274 metric tons and the total volume of sulfur dioxide emissions was 48.91 metric tons; for National Freeway No. 3, the total volume of carbon monoxide emissions was 1091 metric tons, the total volume of nitrogen dioxide emissions was 1521 metric tons and the total volume of sulfur dioxide emissions was 37.35 metric tons. For Taipei City, the pollutants released from the two national freeways make up the following proportions: the volume of carbon monoxide emissions make up 3.2% of all Taipei City emissions, nitrogen dioxide emissions make up 23.3% and sulfur dioxide emissions make up 5%.
In the second part, the CALINE4 line source dispersion model was used to simulate the spread of pollutant emissions from National Freeway No. 1 and National Freeway No. 3. Elementary schools near the national freeways were used as the receptor points to evaluate the level of exposure experienced by elementary school students. As the total emission volume of sulfur dioxide for the year was extremely low, its dispersion concentration could not be calculated and so was not considered. After modeling the dispersion for carbon monoxide and nitrogen dioxide, it was discovered that the highest exposure rates occurred in January and December, with the lowest rates occurring in April, October and November.
During the study the Nangang monitoring station was used as a receptor to compare the projected estimates against the actual measured values. The simulation’s correlation coefficient was 0.81, suggesting that the volume of traffic on the national freeways and the changes in pollutant concentration over time near the Nangang monitoring station are related.
Subjects
線源擴散模式
台北市空氣污染
CALINE
air pollutants
GIS
SDGs
Type
thesis
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