Pollution characteristics of particulate matter in urban roads: high spatial and temporal resolution monitoring based on mobile sensors
QIN Xiao-liang1, HOU Lu-jian2, GAO Jian1, SI Shu-chun3
1. Chinese Research Academy of Environmental Sciences, Beijing 100012, China;
2. Jinan Ecological Environment Monitoring Center, Shandong Province, Jinan 250013, China;
3. Shandong University, Jinan 250013, China
In order to analyze the change characteristics of particle pollution in urban road environment in real time, we took taxi as the carrier of PM sensor to monitor the road environment particles in Jinan for 3monthsand analyzed the pollution characteristics under the road environment, based on the monitoring data of mobile sensors and monitoring stations. Finally, we extracted thePM baseline of the road via the method of the kernel density estimation, and quantified the emissioncontributionsin the road environment. The heavily polluted areas of Jinan were not located in the densely populated city centre, but concentrated in the sparsely populated suburbs. The road network system in Jinan was divided into 1021 sections, of which 65% the PM2.5 concentration was concentrated at 43~46μg/m3, and PM10 concentration was concentrated at 55~70μg/m3. Compared with the urban environment (monitoring stations), the pollution of road environment (sensors) in Jinan was seriously affected by thepeaktime, especially the morning peak time. The sensor monitoring signal was divided into regional pollution signals and emission pollution signals based on the extracted PM baseline and the average value per hour of sensors. During the study, for PM2.5, the regional pollution and emission ratio was 78.6% and 21.4%respectively and that was 71.9%, and 28.1% respectively for PM10.
秦孝良, 侯鲁健, 高健, 司书春. 基于移动传感器的城市道路颗粒物污染特征[J]. 中国环境科学, 2020, 40(3): 948-955.
QIN Xiao-liang, HOU Lu-jian, GAO Jian, SI Shu-chun. Pollution characteristics of particulate matter in urban roads: high spatial and temporal resolution monitoring based on mobile sensors. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(3): 948-955.
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