Enhancing air quality monitoring : Random forests and low-cost sensors

Poster (Scientific congresses and symposiums)

Acerbis, Julie; Lenartz, Fabian; Spinelle, Laurent et al.

2024 • ITM2024 - International Technical Meeting On Air Pollution Modelling And Its Application

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https://hdl.handle.net/2268/328375

Enhancing low-cost air quality monitoring with random forest calibration.pdf

Author postprint (3.2 MB)

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Keywords :

low-cost sensors; random forest; calibration; air quality; particulate matter; PM2.5; PM10

Disciplines :

Environmental sciences & ecology

Author, co-author :

Acerbis, Julie ; Université de Liège - ULiège > Département GxABT > Echanges Eau - Sol - Plantes

Lenartz, Fabian; ISSeP - Institut Scientifique de Service Public > Qualité de l'air

Spinelle, Laurent; Ineris - Institut National de l'Environnement Industriel et des Risques > Qualité de l'air

Brostaux, Yves ; Université de Liège - ULiège > TERRA Research Centre > Modélisation et développement

Language :

English

Title :

Enhancing air quality monitoring : Random forests and low-cost sensors

Publication date :

2024

Event name :

ITM2024 - International Technical Meeting On Air Pollution Modelling And Its Application

Event place :

Copenhagen, Denmark

Event date :

14/10/2024 - 18/10/2024

Audience :

International

Available on ORBi :

since 16 February 2025

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