In order to analyze the change characteristics of particle pollution in urban road environment in real time, this study took taxi as the carrier of PM sensor, and built a mobile monitoring platform with 300 taxis equipped with sensors. At the same time, the evaluation, calibration and application of mobile sensors were discussed in combination with a wireless sensor network(WSN) consisting of 1700 fixed sensors and 30 standard air quality monitoring stations. In this study, the inter-comparison between fixed and mobile methods was analyzed. By analyzing the influence of relative humidity(RH) and particle size distribution on the PM sensor, a two-step calibration model was established to calibrate the mobile sensor. Based on the monitoring data of high spatial and temporal resolution, the Jinan city road network system was divided into 1021 sections, and high-resolution pollution maps were drawn to analyze the spatial distribution of road pollution. The diurnal variation of PM concentration in urban road environment and the influence of morning and evening peaks were studied. At the same time, the background baseline of the urban road was extracted from the big data of the mobile sensor by statistical method to quantify the PM emission level of the urban road.

Study on pollution characteristics of particulate matter in urban roads: High spatial and temporal resolution monitoring based on mobile sensors

Macromolecular Chemistry: The Second Century

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ACS Spring 2020 National Meeting & Expo

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.