Using A Low-Cost Sensor Array and Machine Learning Techniques to Detect Complex Pollutant Mixtures and Identify Likely Sources

Using A Low-Cost Sensor Array and Machine Learning Techniques to Detect Complex Pollutant Mixtures and Identify Likely Sources

An array of low-cost sensors was assembled and tested in a chamber environment wherein several pollutant mixtures were generated. The four classes of sources that were simulated were mobile emissions, biomass burning, natural gas emissions, and gasoline vapors. A two-step regression and classificati...

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Bibliographic Details
Main Authors: Jacob Thorson, Ashley Collier-Oxandale, Michael Hannigan
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sensors
Subjects:
VOCs
emissions
low-cost sensors
sensor arrays
classification
regression
Online Access:https://www.mdpi.com/1424-8220/19/17/3723

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