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Environ. Earth Sci. Proc., 2025, ECAS-7

The 7th International Electronic Conference on Atmospheric Sciences (ECAS-7)

Online | 4–6 June 2025

Volume Editor:

Prof. Dr. Anthony R. Lupo, University of Missouri-Columbia, USA

Number of Papers: 2

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Cover Story (view full-size image): The 7th International Electronic Conference on Atmospheric Sciences (ECAS-7) was held online from 4 to 6 June 2025. The conference focused on a wide range of topics related to atmospheric science, [...] Read more.

9 pages, 1436 KiB

Open AccessProceeding Paper

Insights into Air Quality Index (AQI) Variability with Explainable Machine Learning Techniques

by Claudio Andenna and Roberta Valentina Gagliardi

Environ. Earth Sci. Proc. 2025, 34(1), 1; https://doi.org/10.3390/eesp2025034001 - 5 Aug 2025

Abstract

In this study, a combined approach joining the machine learning model Extreme Gradient Boosting (XGBoost) with Shapley Additive Explanation (SHAP) is adopted to simulate the temporal pattern of the air quality index (AQI) and subsequently explore the key factors affecting AQI variability. Based on the analysis of air pollutants and meteorological data acquired from two air quality monitoring stations in Rome (Italy), over the 2018–2022 period, the results demonstrate the effectiveness of the proposed methodological approach in elucidating the role of the main factors driving AQI evolution, and their interaction effects. Full article

(This article belongs to the Proceedings of The 7th International Electronic Conference on Atmospheric Sciences (ECAS-7))

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7 pages, 337 KiB

Open AccessProceeding Paper

Exposure to PM_2.5 While Walking in the City Center

by Anna Mainka, Witold Nocoń, Aleksandra Malinowska, Julia Pfajfer, Edyta Komisarczyk and Pawel Wargocki

Environ. Earth Sci. Proc. 2025, 34(1), 2; https://doi.org/10.3390/eesp2025034002 - 6 Aug 2025

Abstract

This study investigates personal exposure to fine particulate matter (PM_2.5) during walking commutes in Gliwice, Poland—a city characterized by elevated levels of air pollution. Data from a low-cost air quality sensor were compared with a municipal monitoring station and the Silesian University of Technology laboratory. PM_2.5 concentrations recorded by the low-cost sensor (7.3 µg/m³) were lower than those reported by the stationary monitoring sites. The findings suggest that low-cost sensors may offer valuable insights into short-term peaks in PM_2.5 exposure to serve as a practical tool for increasing public awareness of personal exposure risks to protect respiratory health. Full article

(This article belongs to the Proceedings of The 7th International Electronic Conference on Atmospheric Sciences (ECAS-7))

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