Disparities in particulate matter (PM<sub>10</sub>) origins and oxidative potential at a city scale (Grenoble, France) – Part 2: Sources of PM<sub>10</sub> oxidative potential using multiple linear regression analysis and the predictive applicability of multilayer perceptron neural network analysis

Disparities in particulate matter (PM<sub>10</sub>) origins and oxidative potential at a city scale (Grenoble, France) – Part 2: Sources of PM<sub>10</sub> oxidative potential using multiple linear regression analysis and the predictive applicability of multilayer perceptron neural network analysis

<p>The oxidative potential (OP) of particulate matter (PM) measures PM capability to potentially cause anti-oxidant imbalance. Due to the wide range and complex mixture of species in particulates, little is known about the pollution sources most strongly contributing to OP. A 1-year sampling o...

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Bibliographic Details
Main Authors: L. J. S. Borlaza, S. Weber, J.-L. Jaffrezo, S. Houdier, R. Slama, C. Rieux, A. Albinet, S. Micallef, C. Trébluchon, G. Uzu
Format: Article
Language:English
Published: Copernicus Publications 2021-06-01
Series:Atmospheric Chemistry and Physics
Online Access:https://acp.copernicus.org/articles/21/9719/2021/acp-21-9719-2021.pdf

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https://acp.copernicus.org/articles/21/9719/2021/acp-21-9719-2021.pdf

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