[HTML][HTML] Long-term evaluation of commercial air quality sensors: an overview from the QUANT (Quantification of Utility of Atmospheric Network Technologies) study

S Diez, S Lacy, H Coe, J Urquiza… - Atmospheric …, 2024 - amt.copernicus.org
In times of growing concern about the impacts of air pollution across the globe, lower-cost
sensor technology is giving the first steps in hel** to enhance our understanding and …

[HTML][HTML] A machine learning approach to quantify meteorological drivers of ozone pollution in China from 2015 to 2019

X Weng, GL Forster, P Nowack - Atmospheric Chemistry and …, 2022 - acp.copernicus.org
Surface ozone concentrations increased in many regions of China from 2015 to 2019. While
the central role of meteorology in modulating ozone pollution is widely acknowledged, its …

Response of stratospheric water vapour to warming constrained by satellite observations

P Nowack, P Ceppi, SM Davis, G Chiodo, W Ball… - Nature …, 2023 - nature.com
Future increases in stratospheric water vapour risk amplifying climate change and slowing
down the recovery of the ozone layer. However, state-of-the-art climate models strongly …

Calibration methodology of low-cost sensors for high-quality monitoring of fine particulate matter

ML Aix, S Schmitz, DJ Bicout - Science of The Total Environment, 2023 - Elsevier
Low concentrations of pollutants may already be associated with significant health effects.
An accurate assessment of individual exposure to pollutants therefore requires measuring …

Applying machine learning for large scale field calibration of low‐cost PM2.5 and PM10 air pollution sensors

P Adong, E Bainomugisha, D Okure… - Applied AI …, 2022 - Wiley Online Library
Low‐cost air quality monitoring networks can potentially increase the availability of high‐
resolution monitoring to inform analytic and evidence‐informed approaches to better …

Application of Gaussian Mixture Regression for the Correction of Low Cost PM2.5 Monitoring Data in Accra, Ghana

C McFarlane, G Raheja, C Malings… - ACS Earth and Space …, 2021 - ACS Publications
Low-cost sensors (LCSs) for air quality monitoring have enormous potential to improve air
quality data coverage in resource-limited parts of the world such as sub-Saharan Africa …

[HTML][HTML] Detecting and quantifying PM2. 5 and NO2 contributions from train and road traffic in the vicinity of a major railway terminal in Dublin, Ireland

S Priyan, Y Guo, A McNabola, B Broderick… - Environmental …, 2024 - Elsevier
Air pollution from transport hubs is a recognised health concern for local urban inhabitants.
Within the domain of transport hubs, significant attention has been given to larger airport and …

On Memory-Based Precise Calibration of Cost-Efficient NO2 Sensor Using Artificial Intelligence and Global Response Correction

S Koziel, A Pietrenko-Dabrowska… - Knowledge-Based …, 2024 - Elsevier
Nitrogen dioxide (NO 2) is a prevalent air pollutant, particularly abundant in densely
populated urban regions. Given its harmful impact on health and the environment, precise …

AirMLP: A Multilayer Perceptron Neural Network for Temporal Correction of PM2. 5 Values in Turin

M Casari, L Po, L Zini - Sensors, 2023 - mdpi.com
In recent times, pollution has emerged as a significant global concern, with European
regulations stipulating limits on PM 2.5 particle levels. Addressing this challenge …

Cost-Efficient measurement platform and machine-learning-based sensor calibration for precise NO2 pollution monitoring

A Pietrenko-Dabrowska, S Koziel, M Wojcikowski… - Measurement, 2024 - Elsevier
Air quality significantly impacts human health, the environment, and the economy. Precise
real-time monitoring of air pollution is crucial for managing associated risks and develo** …