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Activity Number: 600 - Spatial Statistics When Sampling Is Informative
Type: Invited
Date/Time: Thursday, August 2, 2018 : 8:30 AM to 10:20 AM
Sponsor: SSC
Abstract #328958
Title: Real Time PM2.5 Mapping and Anomaly Detection from AirBoxes in Taiwan
Author(s): Guowen Huang*
Companies: National Tsing Hua University
Keywords: Control chart; fine particulate matter; internet of things; ordinary kriging; spatial prediction

In Taiwan, PM2.5 was conventionally monitored by a small number of 77 monitoring stations. Recently, a project using a large number of small devices, called AirBoxes, was launched in March 2016 to monitor PM2.5 concentrations. Although thousands of AirBoxes have been deployed across Taiwan to give a broader coverage, they are mostly located in big cities, and their measurements are less accurate. We propose to use a spatial statistics technique, called kriging, which gives PM2.5 level with its standard error at any location in Taiwan by incorporating spatial dependence structure of AirBox data in a statistically optimal way. This provides a smoothly varied real-time PM2.5 concentration map and its associated standard error map. In addition, we develop a novel spatio-temporal control chart that monitors anomalous measurements by utilizing neighboring AirBox information. Our method automatically adaptive to different neighboring structures at different AirBox locations without the need to specify a neighborhood range. The proposed method has abilities to detect potential emission sources, malfunctioned AirBoxes, and AirBoxes that are wrongly put indoors.

Authors who are presenting talks have a * after their name.

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