What question did this study set out to answer?

To evaluate spatial and seasonal variations in urban air pollutants and determine their relationship with local road traffic intensity across vulnerable urban sites.

August 14, 2026AtmosphereOpen Access

Low-Cost Sensor-Based Spatial Screening of Urban Air Quality in a Medium-Sized City: A Case Study in Alba-Iulia, Romania

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Authors

ARAndrei Tudor Rusu SASimona Elena Avram TRTiberiu Rusu

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Overview

Observational study reveals strong correlations between vehicle volume and particulate matter, indicating portable sensors reliably identify urban pollution hotspots.

Key Points

To evaluate spatial and seasonal variations in urban air pollutants and determine their relationship with local road traffic intensity across vulnerable urban sites.
Conducted two measurement campaigns in May 2025 (26 sites) and October 2025 (19 sites) targeting high-traffic areas and vulnerable locations such as schools, hospitals, and markets.
Quantified concentrations of PM2.5, PM10, total volatile organic compounds (TVOC), formaldehyde (HCHO), and CO2 alongside vehicle counts using portable low-cost sensors.
Applied statistical correlation and multiple regression analyses controlling for traffic density and seasonal factors.
Particulate concentrations significantly differed between seasons (p < 0.01) and showed strong positive correlations with vehicle counts (r = 0.60–0.95).
Multiple regression controlling for traffic and season explained over 73% of the variance in PM2.5 and PM10, with mean levels exceeding WHO and EU guideline limits.
Low-cost sensors overestimated absolute concentrations by roughly 2- to 4-fold compared to official reference stations but reliably ranked spatial pollution hotspots.

Cite This Study

Rusu et al. (2026) studied this question.

synapsesocial.com/papers/6a7ec79cb70b84ec8b914259 https://doi.org/10.3390/atmos17080780

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August 14, 2026AtmosphereOpen Access

Low-Cost Sensor-Based Spatial Screening of Urban Air Quality in a Medium-Sized City: A Case Study in Alba-Iulia, Romania

View Full Paper

Ask AI

Bookmark

Authors

ARAndrei Tudor Rusu SASimona Elena Avram TRTiberiu Rusu

Discussion

Member takes

Overview

Observational study reveals strong correlations between vehicle volume and particulate matter, indicating portable sensors reliably identify urban pollution hotspots.

Key Points

To evaluate spatial and seasonal variations in urban air pollutants and determine their relationship with local road traffic intensity across vulnerable urban sites.
Conducted two measurement campaigns in May 2025 (26 sites) and October 2025 (19 sites) targeting high-traffic areas and vulnerable locations such as schools, hospitals, and markets.
Quantified concentrations of PM2.5, PM10, total volatile organic compounds (TVOC), formaldehyde (HCHO), and CO2 alongside vehicle counts using portable low-cost sensors.
Applied statistical correlation and multiple regression analyses controlling for traffic density and seasonal factors.
Particulate concentrations significantly differed between seasons (p < 0.01) and showed strong positive correlations with vehicle counts (r = 0.60–0.95).
Multiple regression controlling for traffic and season explained over 73% of the variance in PM2.5 and PM10, with mean levels exceeding WHO and EU guideline limits.
Low-cost sensors overestimated absolute concentrations by roughly 2- to 4-fold compared to official reference stations but reliably ranked spatial pollution hotspots.

Cite This Study

Rusu et al. (2026) studied this question.

synapsesocial.com/papers/6a7ec79cb70b84ec8b914259 https://doi.org/10.3390/atmos17080780

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