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標題: | 台北市路邊自行車專用道之PM2.5暴露 Exposure of PM2.5 at the roadside bike express lanes in Taipei |
作者: | Shun-Hua Ho 何舜華 |
指導教授: | 吳章甫(Chang-Fu Wu) |
關鍵字: | 混合模式,懸浮微粒,自行車專用道,PM2.5,暴露, Mixed model,Particulate matter,Bike express lane,PM2.5,Exposure, |
出版年 : | 2017 |
學位: | 碩士 |
摘要: | 近年來,由於大眾的環保意識抬頭以及國人對於健康議題的重視,促使大眾運輸系統的普及與自行車通勤族人數的增加。台北市的自行車專用道毗鄰慢車道。當騎自行車等待交通信號燈時,騎自行車的人可能會容易地暴露PM2.5(空氣動力學直徑≤2.5μm的顆粒物)的交通排放。
本研究針對此相關議題進行實地監測與研究,於臺北市信義路與松江新生南路之自行車專用道旁架設儀器,監測細懸浮微粒濃度,並同時結合相關車流資訊、週遭地理資訊及測站資訊,將監測數據進行統計模式分析,以找出相關之影響因子。採樣點數則選擇每條路線中的6個位置作為監測點,細懸浮微粒濃度以直度式光學測量儀器進行監測。監測期為每個場地7天,為期4週(2016/07 / 04-2016 / 08/04),重點是三個目標時段(尖峰時間:7:00-9:00, 17:00-19:00;非尖峰時間:14:00-16:00)。 監測期間,細懸浮微粒平均濃度在5.84 µg/m3 和21.57 µg/m3之間。各監測點交通尖峰時段之細懸浮微粒濃度較交通離峰時段之細懸浮微粒濃度高。而監測期間之尖峰與非尖峰時段之細懸浮微粒濃度(mean=15.91 µg/m3) 則高於監測點周遭之台灣環保署空氣品質監測站所測得之細懸浮微粒濃度(mean=14.48 µg/m3)。 透過混合模式以分析各變項因子對於自行車專用道PM2.5濃度之影響,發現除了大氣環境影響外,交通因子中的機車數也有所影響,而土地利用因子中的工業用地面積也呈現是影響因子。因此對於自行車專用道PM2.5濃度而言,慢車道之交通與周遭某些特定土地利用有著一定的影響程度。若是要針對自行車專用道PM2.5濃度進行控制,也許可從控制慢車道交通量與在建設自行車專用道時應排除附近有某些特定土地利用之地點來著手,以降低自行車專用道騎乘者可能暴露之PM2.5濃度。 In the last decade, numbers of bike commuters increased due to the public concern in environmental and health issues. The bike express lanes in Taipei were built adjacent to slow lanes. Bikers may easily expose to traffic emission of PM2.5 (particulate matter ≤ 2.5 μm in aerodynamic diameter) when they ride bikes and wait for traffic lights. The aim of this study is to monitor PM2.5 exposures at the roadside bike express lanes. This study was conducted through a series of field campaigns to investigate the distribution of air pollutants near the bike lanes in Taipei City. Xinyi Road and Songjiang Road/Xinsheng South Road -two roadside bike lanes in Taipei were chosen as the target routes. Six locations in each route were selected as the monitoring sites (Xinyi Road: H1-H6, Songjiang Road/Xinsheng South Road: V1-V6). A direct-reading instrument based on the light scattering technique was used for monitoring PM2.5. In addition, vehicle detector (VD) and land use data were collected to examine their associations with PM2.5 measurements using a mixed effect model. The monitoring periods were 7 days per site for 4 weeks (2016/07/04-2016/08/04), focusing on three target periods (rush hour: 7:00-9:00, 17:00-19:00; non-rush hour: 14:00-16:00). The averagePM2.5 concentrations ranged between 5.84 µg/m3 and 21.57 µg/m3. PM2.5 concentrations during rush hours were higher than the ones during non-rush hours. During the target periods, concentrations at the monitoring sites on average (mean=15.91 µg/m3) were higher than the ones at the Taiwan Air Quality Monitoring Stations (mean=14.48 µg/m3). We used liner mixed model to analyze that various factors influenced the PM2.5 concentration of the bike lane. Without considering the atmospheric factor, the number of motorcycle on slow lane was the main effect and industrial area nearby bike express lane had some effect on the PM2.5 concentration of the roadside bike express lane. According to the results of this study, controlling the traffic of slow lane and reducing area of some specific land-use nearby the bike express lanes may decrease the PM2.5 concentration of the bike express lane. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/68818 |
DOI: | 10.6342/NTU201703562 |
全文授權: | 有償授權 |
顯示於系所單位: | 環境衛生研究所 |
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