科研之友
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摘要
For the air quality of urban areas, stationary monitoring can be expressed as a time series of pollutant concentrations in a specific area. While being capable for denoting the air quality in the scale of neighborhood with high variation degree, stationary monitoring cannot characterize air conditions due to their limited spatial resolution. In this study, in order to obtain various time resolutions of roadside air quality, target pollutants were measured under different moving speeds, while the corresponding GPS were utilized to indicate the air pollutants at street level, which can be employed to capture the characters of spatial-temporal variations of pollutants. This study focused on the research of the relationship between the moving speed and the measured concentration. Ten typical roads in Beijing were selected, and their CO and NOx values were selected as representative pollutants because they are the typical traffic-related emission pollutants measureable in urban streets, with moving speeds in the range of 0-40 km/h. A regression analysis was conducted between the moving speed and the measured concentrations. Results illustrated that the peak value of R-2 occurred in the moving speed interval of 0<v <= 5 km/h (R-2 = 0.74, coefficients = 0.85) and 10<v <= 15 km/h (R-2= 0.85, coefficients = 0.94) for NOx and CO, respectively. This moving speed can act as the potential suggested moving speed in the application of mobile monitoring to enhance monitoring efficiency and to describe the character of spatial-temporal variation over the road environment.
- 出版日期2015
- 单位清华大学
