Artificial Intelligence for Evaluation of PM2.5 and PM10 Levels in Urban Streets

Ciro  Spataro; Fabio Viola

doi:10.20508/pv6r1w74

Authors

Ciro Spataro Department of Engineering of University of Palermo, Italy, viale delle Scienze, Parco d’Orleans, Palermo, 90100, Italia Author https://orcid.org/0000-0002-6976-1786
Fabio Viola Università di Palermo, Italy Author https://orcid.org/0000-0002-1162-6872

DOI:

https://doi.org/10.20508/pv6r1w74

Keywords:

data analysis, monitoring techniques, particle matter PM10 and PM2.5, Pollutant, Artificial intelligence

Abstract

Atmospheric pollution, especially due to fine particles (PM2.5) and larger particles (PM10), constitutes a major risk to public health and the long-term viability of urban areas. This research focuses on measuring the presence of PM2.5 and PM10 across selected city streets, investigating the variables that affect their concentration, and identifying possible solutions to limit their impact. The study utilizes continuous air quality monitoring, data interpretation through statistical tools, and a review of urban planning measures to offer a thorough understanding of particulate contamination in metropolitan settings. Findings reveal significant patterns in how these pollutants spread, their links to vehicular traffic and weather conditions, and suggest practical approaches to lower human exposure. The contribution of artificial intelligence starts in collecting raw data, converting in Matlab’s matrices and help the operator identify correlations between the taken measurements and the the influence of environmental parameters, which allow particulate matter to vary daily even without following consolidated trends in the same time period.

Downloads

Download data is not yet available.

Author Biographies

Ciro Spataro, Department of Engineering of University of Palermo, Italy, viale delle Scienze, Parco d’Orleans, Palermo, 90100, Italia

Department of Engineering of University of Palermo, Italy, viale delle Scienze, Parco d’Orleans, Palermo, 90100, Italia
Fabio Viola, Università di Palermo, Italy

Dr. Viola received the “Laurea” degree in Electrical Engineering from Università degli Studi di Palermo, Palermo, Italy, in 2002 and the Ph.D. in Electrical Engineering from the same institute in 2006.

In 2008 Dr. Viola joined the Department of Electrical, Electronic and Telecommunication Engineering of the University of Palermo as researcher.

Dr. Viola began his research in October 2002 at the Department of Electrical, Electronic and Telecommunication Engineering of the University of Palermo, as Ph.D student. His research interests are in the field of Electromagnetic Compatibility and Energy. In particular, Dr. Viola during his activities collaborated in national research programs and international programs, on "Numerical Analysis" and "Electrical Systems for Energy”.

Dr. Viola has developed research methods in various aspects of electromagnetic compatibility in industrial environments, with particular reference to the development of analytical and numerical models for the determination of the electromagnetic field and electromagnetic interference between systems. Dr. Viola developed models to predict energy production of photovoltaic systems and also designed energy harvesting with microwatts of power. Dr. Viola developed models to study the behaviour of system in high voltage in AC and in DC.

He has been included in the "World's top 2% of Scientists" list since 2020, drawn up by Stanford University, in the career and single year categories.