An improved low-power measurement of ambient NO<sub>2</sub> and O<sub>3</sub> combining electrochemical sensor clusters and machine learning

An improved low-power measurement of ambient NO<sub>2</sub> and O<sub>3</sub> combining electrochemical sensor clusters and machine learning

<p>Low-cost sensors (LCSs) are an appealing solution to the problem of spatial resolution in air quality measurement, but they currently do not have the same analytical performance as regulatory reference methods. Individual sensors can be susceptible to analytical cross-interferences; have ra...

Full description

Bibliographic Details
Main Authors: K. R. Smith, P. M. Edwards, P. D. Ivatt, J. D. Lee, F. Squires, C. Dai, R. E. Peltier, M. J. Evans, Y. Sun, A. C. Lewis
Format: Article
Language:English
Published: Copernicus Publications 2019-02-01
Series:Atmospheric Measurement Techniques
Online Access:https://www.atmos-meas-tech.net/12/1325/2019/amt-12-1325-2019.pdf

Internet

https://www.atmos-meas-tech.net/12/1325/2019/amt-12-1325-2019.pdf

Similar Items