Calibrations of Low-Cost Air Pollution Monitoring Sensors for CO, NO2, O3, and SO2

• Published in: Sensors (Basel, Switzerland) Vol. 21; no. 1; p. 256
• Main Authors: Han, Pengfei, Mei, Han, Liu, Di, Zeng, Ning, Tang, Xiao, Wang, Yinghong, Pan, Yuepeng
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 02.01.2021; MDPI
• Subjects: Air pollution; electrochemical air quality sensors; Electrodes; field evaluation; Greenhouse gases; Internet of Things; low-cost gas sensors; LSTMs; Microprocessors; Neural networks; Nitrogen dioxide; Pollutants; Quality control; random forest; Regression analysis; Sensors; single and multiple linear regression; Beijing China; China

Pollutant gases, such as CO, NO2, O3, and SO2 affect human health, and low-cost sensors are an important complement to regulatory-grade instruments in pollutant monitoring. Previous studies focused on one or several species, while comprehensive assessments of multiple sensors remain limited. We cond...