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- W4317182307 abstract "BACKGROUND AND AIM: Due to the insufficient number and distribution of air monitoring stations, we can’t represent and estimate the more accurate PM2.5 pollution situation and its association with important exposure sources within the district of Taipei City. This study tries to apply the two datasets of micro sensors and vehicle detectors to further explore the relationship between PM2.5 concentration and traffic flow in Taipei City. METHODS: We collected PM2.5 data from 90 micro sensors (Airbox) and traffic flow data from 934 vehicle detectors from August 2020 to July 2021 in Taipei City. We used simple linear regression to quantify the relationship between annual average of hourly PM2.5 concentration and traffic flow in each administrative district of Taipei City. And we further develop hourly PM2.5 land-use regression models by combing the traffic flow and land-use data. RESULTS: It showed significant correlation between traffic flow and PM2.5 concentrations with the R2 of 12 districts from 0.72 to 0.89. An increase of 10,000 vehicles per hour in the total traffic flow could increase the PM2.5 concentrations in each district of Taipei City from 0.36μg/m3 to 1.64μg/m3. In advanced, we developed the land-use regression model in Shilin District and Zhongshan District. The R2 of the hourly PM2.5 land-use regression model in the Shilin District and Zhongshan District is 0.87 and 0.66. The models could reflect the impacts of traffic flow and land-use variables. CONCLUSIONS: This study used the data of Airbox with large sample size and high density in a small area after combining the hourly traffic flow and land-use data, we successfully established the PM2.5 land-use regression models with the characteristics of different administrative districts. In accordance with this model, the Taipei City hourly model will be further established. KEYWORDS: micro sensor, AirBox, PM2.5, traffic flow, Land-use regression model" @default.
- W4317182307 created "2023-01-18" @default.
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- W4317182307 date "2022-09-18" @default.
- W4317182307 modified "2023-10-16" @default.
- W4317182307 title "Temporal and spatial distribution of PM2.5 pollution in Taipei City and its association with traffic flows assessed by microsensor data" @default.
- W4317182307 doi "https://doi.org/10.1289/isee.2022.p-0164" @default.
- W4317182307 hasPublicationYear "2022" @default.
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