Citation: Sofia, D.; Trucillo, P.
Editorial Overview of the Special
Issue “Air Quality Monitoring for
Smart Cities and Industrial
Applications”. Processes 2023, 11,
2458. https://doi.org/10.3390/
pr11082458
Received: 8 August 2023
Accepted: 10 August 2023
Published: 15 August 2023
Copyright: © 2023 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
processes
Editorial
Editorial Overview of the Special Issue “Air Quality
Monitoring for Smart Cities and Industrial Applications”
Daniele Sofia
1,2,
* and Paolo Trucillo
3
1
Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy
2
Research Department, Sense Square Srl, Corso Garibaldi 33, 84123 Salerno, Italy
3
Department of Chemical, Material and Industrial Production Engineering, University of Naples Federico II,
Piazzale Tecchio, 80, 80125 Napoli, Italy; paolo.trucillo@unina.it
* Correspondence: dsofia@unisa.it
The Special Issue entitled “Air Quality Monitoring for Smart Cities and Industrial
Applications” addresses the pressing concern of environmental pollution, particularly
air pollution, and its impact on global well-being. The primary focus is on monitoring
air quality, which is pivotal for combating air-related health issues, such as obstructive
pulmonary diseases, cardiovascular illnesses, lung cancers, asthma, or lower respiratory
infections [1,2].
This Special Issue examines gaseous compounds released from industrial plants, con-
sidering the challenges posed by strict government regulations, trying to contain pollution
that nowadays is felt as a global burden [3]. The concept of circular economy is being
correctly forced into our daily lives, especially in manufacturing activities [4]. This is why
humans are trying to reduce the generation of solid, liquid, and gaseous waste.
Therefore, the significance of investing in air quality research is emphasized, covering
indoor and outdoor monitoring systems, pollution-related health reviews, and pollution’s
connection to human health. Specific themes include gaseous waste treatment, air quality
monitoring equipment development, analysis of outdoor air quality and industrial emis-
sions, and indoor air quality assessment in inadequately ventilated spaces. The impact of
air pollutants on health, especially during the COVID-19 pandemic, is also explored.
Papers published within this Special Issue include research that developed a network
of low-cost sensors to monitor PM2.5 particulate matter in Temuco City, Chile, assessing
spatial and temporal air quality variations [5]. Another paper explores the evolution of
research trends in ozone formation sensitivity using bibliometric analysis [6]. Among
the studies presented in this issue, there is one that reports a crowdsensing-based vehicle
sensor network system for real-time monitoring of urban PM levels, discussing its cost-
effectiveness and benefits [7]. The impact of poor indoor air quality on work efficiency is
examined through a case study of PM2.5 levels in a large shopping mall in Macao [8].
Moreover, the research delves into aircraft emissions within Spain’s domestic aviation
market, emphasizing the importance of balancing economic profitability and environmental
impact [9]. In the aims of sustainability, nowadays it is fundamental to satisfy simultane-
ously the conditions of profitability, environmental impact, and social impact. Only after
balancing these three conditions can we address our research efforts to the path of global
Earth sources regeneration.
The effects of the COVID-19 lockdown measures on criteria pollutants are analyzed,
particularly in relation to Australia’s prescribed burns during the first worldwide lockdown
period due to the COVID-19 pandemic illness [10]. A study focuses on blood heavy metal
absorption in areas with varying environmental impacts, assessing the connection between
air quality and health [11]. An investigation predicts PM2.5 concentrations using multi-time
scale fusion, contributing to environmental protection efforts [12]. The global burden of
disease due to air pollution is assessed, revealing trends in disease attribution over the
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