Indoor Air Pollution Monitoring: Multi-Pollutant Exposure and Risk Assessment

A Special Issue of Atmosphere (ISSN 2073-4433) belonging to the section "Air Quality".

Deadline for manuscript submissions: closed (31 May 2026) | Viewed by 4981

Editors


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Guest Editor
College of Civil Engineering, Zhengzhou University, Zhengzhou 450001, China
Interests: indoor air pollutants; indoor pollution and health; healthy buildings
Institute for Health and Environment, Chongqing University of Science and Technology, Chongqing 401331, China
Interests: indoor exposure; air pollution; climate; environment

Special Issue Information

Dear Colleagues,

Indoor air pollution has become an increasingly pressing concern due to its substantial impact on human health and well-being. Unlike outdoor pollution, indoor environments trap a complex mixture of pollutants, including particulate matter (PM), volatile organic compounds (VOCs), carbon dioxide (CO2), nitrogen oxides (NOₓ), formaldehyde, bioaerosols, and even emerging pollutants. Understanding the sources, distribution, and health effects of these pollutants is essential for developing effective mitigation strategies.

This Special Issue aims to bring together cutting-edge research on the monitoring, exposure assessment, and health risk analysis of indoor air pollutants. We invite contributions that explore precise exposure assessments by integrating measurement technology, data analytics, and health outcomes. Studies focusing on source apportionment and regulatory frameworks are also encouraged. Special attention will be given to interdisciplinary approaches that integrate environmental science, public health, and engineering solutions.

By compiling high-quality research on multi-pollutant exposure and risk assessment, this Special Issue seeks to enhance scientific understanding and inform policies for healthier indoor environments. We encourage researchers, practitioners, and policymakers to contribute their findings, fostering a comprehensive discourse on improving indoor air quality and minimizing the associated health risks.

Dr. Guangtao Fan
Dr. Wei Liu
Guest Editors

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Keywords

  • indoor air pollution
  • multi-pollutant monitoring
  • exposure assessment
  • health risk
  • sensor technologies
  • indoor environmental quality
  • emerging indoor pollutants

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Published Papers (2 papers)

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Research

20 pages, 4133 KB  
Article
Magnetic Biomonitoring of PM in a Semi-Arid Urban Park of North-Central Mexico Using Tillandsia recurvata as a Particulate Matter Biocollector
by Ana G. Castañeda-Miranda, Harald N. Böhnel, Marcos A. E. Chaparro, Laura A. Pinedo-Torres, A. Rodríguez-Trejo, Rodrigo Castañeda-Miranda, Remberto Sandoval-Aréchiga, Víktor I. Rodríguez-Abdalá, Jose. R. Gomez-Rodriguez, Saúl Dávila-Cisneros and Salvador Ibarra Delgado
Atmosphere 2026, 17(1), 55; https://doi.org/10.3390/atmos17010055 - 31 Dec 2025
Cited by 2 | Viewed by 845
Abstract
This study assessed the spatial distribution and composition of airborne particulate matter within a 10 km long urban green corridor in Zacatecas, Mexico, using magnetic biomonitoring with Tillandsia recurvata and SEM-EDS particle characterization. A total of 44 samples were collected from distinct urban [...] Read more.
This study assessed the spatial distribution and composition of airborne particulate matter within a 10 km long urban green corridor in Zacatecas, Mexico, using magnetic biomonitoring with Tillandsia recurvata and SEM-EDS particle characterization. A total of 44 samples were collected from distinct urban park contexts (e.g., commercial zones, malls, bus stops), revealing mass-specific magnetic susceptibility χ values ranging from −6.71 to 61.1 × 10−8 m3 kg−1. Three compositional groups were identified based on a PCA performed using elemental concentrations from SEM-EDS and magnetic data, which are associated with traffic emissions and industrial inputs. SEM-EDS images confirmed abundant magnetite-like particles (1–8 μm) with hazardous metals including Pb (up to 5.6 wt.%), Ba (up to 67.6 wt.%), and Cr (up to 31.5 wt.%). Wind direction data indicated predominant SSW–NNE transport, correlating with hotspots in central and northeastern park areas. Overall, vegetated zones exhibited markedly lower magnetic loads (mean χ = 8.84 × 10−8 m3 kg−1) than traffic-exposed sites (mean χ = 17.27 × 10−8 m3 kg−1), representing an approximate 50% reduction in magnetic particle accumulation, which highlights the effective role of continuous vegetation cover as a functional green barrier that attenuates the lateral transport and deposition of airborne particulate matter within the park. This research highlights the applicability of combined magnetic and microscopic techniques for evaluating the dynamics of airborne pollution in urban parks and supports their use for identifying both pollution hotspots and mitigation zones, reinforcing the role of urban green spaces as biofunctional filters in cities facing vehicular air pollution. Full article
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17 pages, 1837 KB  
Article
The Impact of Meteorological Variables on Particulate Matter Concentrations
by Amaury de Souza, José Francisco de Oliveira-Júnior, Kelvy Rosalvo Alencar Cardoso, Widinei A. Fernandes and Hamilton Germano Pavao
Atmosphere 2025, 16(7), 875; https://doi.org/10.3390/atmos16070875 - 17 Jul 2025
Cited by 12 | Viewed by 3185
Abstract
This study assessed the influence of meteorological conditions on particulate matter (PM) concentrations in Campo Grande, Brazil, from May to December 2021. Using statistical analyses, including Pearson’s correlation coefficient and multivariate regression, we analyzed secondary data on PM2.5 and PM10 concentrations and meteorological [...] Read more.
This study assessed the influence of meteorological conditions on particulate matter (PM) concentrations in Campo Grande, Brazil, from May to December 2021. Using statistical analyses, including Pearson’s correlation coefficient and multivariate regression, we analyzed secondary data on PM2.5 and PM10 concentrations and meteorological variables from the Federal University of Mato Grosso do Sul’s Physics Department. Daily PM concentrations complied with Brazil’s National Ambient Air Quality Standards (PQAr). The PM2.5/PM10 ratios averaged 0.436 (hourly) and 0.442 (daily), indicating a mix of fine and coarse particles. Significant positive correlations were found with temperature, while relative humidity showed a negative correlation, reducing PM levels through deposition. Wind speed had no significant impact. Meteorological influences suggest that air quality management should be tailored to regional conditions, particularly addressing local emission sources like vehicular traffic and biomass burning. Full article
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