Analysis Of Factors Affecting Environmental Air Quality Around Road Based On Mobile Monitoring Data

Air quality monitoring is of reference for grasping the change regulation of pollution and meteorological conditions,and running the follow-up mechanism.It can reduce the impact of air pollution as much as possible.Mobile air quality monitoring system can obtain the required ambient air quality data in a more economical and flexible way,with complete,accurtate and up-to-date information.So mbile air quality monitoring system is of great value to improve the automatic monitoring network.In this paper,an in-vehicle mobile system for monitoring air quality is build,which takes the vehicle as a platform and integrated with GPS/IMU,carbon dioxide,particulate matter,temperature and humidity,noise detection instruments.We obtain the gas and particle concentration along the roads in some areas of wuhan,with related other environmental data and gegraphic information.Then,we use correlation and space interpolation to analyze the temporal and spatial distribution of the mobile data.Finally,the information from ground fixed monitoring stations and the vegetation data extracted by VDVI algorithm of remote sensing image,are combined to research the factors affecting air quality within road environment.We can open and close the in-vehicle mobile system through the computer.The system displays the data value in real time during the driving process,and then,the data is stored in an unified standard format backstage,so it facilitates subsequent data processing operations.The main conclusion are as follows:(1)In each day of collection,PM2.5,CO2,temperature and humidity data are continuous,when the larger particles and noise data are dispered.PM2.5,CO2 and noise ouside the school are higher significantly than the Wuhan University,and these data peak in some sections of the main commercial area.(2)Among the mobile monitoring data,PM2.5 concentration has a high positive correlation with humidity data but negative correlation with temperature,and the correlation coefficients are 0.8449 and-0.5312 respectly.There is a high positive correlation between carbon dioxide and temperature,the correlation coefficient is 0.6818.In addition,the lager particles above 2.5 micron is weakly correlated with CO2 and noise,and noise is not related to other types of data.(3)Meteorological conditions have a direct impact on the temperature,and the changes of temperature determine the trend of humidity,when rain or not affects the overall level of humidity.Finally,the humidity value affects PM2.5 concentration.What’s more,the number and type of other vehicles around have some impact on the collecting data.(4)Vegetation area has a positve correlation with PM2.5 and CO2,but a negative correlation with large particles.It indicates that cultivation of campus vegetation had a significant effect on the concentration of large particles.In general,in-vehicle air quality monitoring system in this project has a better complement on the existing mobile monitoring system in our country.The study on the air quality in local Wuhan can also support the environment management.