Correlation Analysis of Air Pollution and Vehicle Emissions and Assessment of Health Loss in Roadside Environmental

• Main Authors: FU-KEN YEN, 葉輔根
• Other Authors: 曾昭衡
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/z4p9tr

碩士 === 國立臺北科技大學 === 環境工程與管理研究所 === 106 === Urban transport emissions are an important source of air pollution, the health of the people also have a negative impact. This study will explore the relationship between roadside ambient air pollutant concentration and vehicle emissions. This study case selected busy traffic areas in Datong District of Taipei City and Sanchong District of New Taipei City as research sites, and conducted continuous monitoring of air pollutants and records of traffic volume during traffic peak hours (7 am to 14 pm). Multiple linear regression analysis of the concentration of air pollutants every two minutes and the current vehicle emissions will be conducted to help understand the impact of vehicle emissions on air pollution concentrations in the roadside environment and its relevance. The correlation between air pollution concentration and vehicle emissions shows that the R2 value of multivariate regression analysis of PM2.5 and vehicle emissions is up to 0.54, and that of CO is up to 0.28. Finally, after stepwise regression analysis, it was found that the PM2.5 concentration change in the road environment was affected by wind speed and humidity, and the CO concentration change was temperature and humidity. And used AERMOD with local wind direction and wind speed and vehicle emissions data, simulated roadside environment due to vehicle emissions and increase the concentration distribution of the simulated rise PM2.5 concentrations to calculate the health loss surrounding residents. The result show that residents living within the range of 10m would lose NT$1,791 per person per year; at 30m would lose NT$ 1266; at 50m would lose NT$1010; at 70m would NT$815; at 90m would NT$720; at 190m would lose NT$446.