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Site Selection of New PM2.5 Mobile Monitoring Station Based on Ordinary Kriging Interpolation

Xiaolong Li, Tianhao Zhang,Zhongxiang Yang,Jing Chen

2022 29th International Conference on Geoinformatics(2022)

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Abstract
The distribution of PM2.5 monitoring stations in the city is uneven. When studying the short-term distribution characteristics of the entire urban area, the interpolation fitting results are quite different from the actual situation. One way to solve this problem is to add temporary mobile monitoring stations to make the regional interpolation more accurate. This paper studies the optimal design of the location of the newly added PM2.5 monitoring stations in Nanchang urban area, using the data of 9 PM2.5 state-controlled monitoring stations in N anchang urban area at 11:00 on January 23, 2015, using the ordinary Kriging interpolation method is used to optimize the location selection of new mobile stations in N anchang urban area. The research results show that the optimal new mobile station location can be found for the study area according to the ordinary Kriging interpolation method. The research results are scientific and can improve the overall observation accuracy of the monitoring station network.
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Key words
PM2.5,mobile monitoring station,site selection,ordinary kriging interpolation,estimated error variance
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