A QGIS-Based Gaussian Plume Dispersion Model for Point Sources: Development and Intercomparison of Reflective and Non-Reflective Formulations

Air pollution from industrial point sources remains a major concern in urban environments, highlighting the need for accessible tools that support both education and preliminary environmental assessment. This study presents the development and intercomparison of an open-source, QGIS-based geospatial model for simulating atmospheric pollutant dispersion from fixed point sources using the Gaussian plume formulation. The model integrates emission parameters, meteorological conditions, and terrain data within a fully spatial workflow implemented through the QGIS graphical modeler, enabling the generation of ground-level concentration fields without advanced programming expertise. Dispersion is simulated with and without inclusion of a ground reflection term, allowing comparative analysis of boundary condition effects. The model was applied to a representative urban industrial source at the National University of Science and Technology POLITEHNICA Bucharest, using CO2 emissions treated as a passive tracer. Model outputs were evaluated through descriptive statistics and quantitative comparison with two established open-source Gaussian plume implementations developed in Python. Ground reflection leads to an increase of approximately 60% in modeled near-surface concentrations, particularly in the upper tail of the distribution, underscoring its importance for screening-level exposure assessment. The proposed model provides a transparent, reproducible, and user-friendly framework suitable for teaching activities, rapid screening analyses, and exploratory air quality assessments.

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Publication Details

Journal
Applied Sciences
Published
2026-02-12
DOI
https://doi.org/10.3390/app16041833
Primary Topic
Wind and Air Flow Studies
Type
article
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article

A QGIS-Based Gaussian Plume Dispersion Model for Point Sources: Development and Intercomparison of Reflective and Non-Reflective Formulations

Diana Mariana Cocârță, Marius Daniel Bontoş, Elena-Laura Barbu, Georgiana-Claudia Vasiliu et al.
Applied Sciences
Wind and Air Flow Studies
article

A QGIS-Based Gaussian Plume Dispersion Model for Point Sources: Development and Intercomparison of Reflective and Non-Reflective Formulations

Diana Mariana Cocârță, Marius Daniel Bontoş, Elena-Laura Barbu, Georgiana-Claudia Vasiliu, Corina Boncescu
article en

Abstract

Air pollution from industrial point sources remains a major concern in urban environments, highlighting the need for accessible tools that support both education and preliminary environmental assessment. This study presents the development and intercomparison of an open-source, QGIS-based geospatial model for simulating atmospheric pollutant dispersion from fixed point sources using the Gaussian plume formulation. The model integrates emission parameters, meteorological conditions, and terrain data within a fully spatial workflow implemented through the QGIS graphical modeler, enabling the generation of ground-level concentration fields without advanced programming expertise. Dispersion is simulated with and without inclusion of a ground reflection term, allowing comparative analysis of boundary condition effects. The model was applied to a representative urban industrial source at the National University of Science and Technology POLITEHNICA Bucharest, using CO2 emissions treated as a passive tracer. Model outputs were evaluated through descriptive statistics and quantitative comparison with two established open-source Gaussian plume implementations developed in Python. Ground reflection leads to an increase of approximately 60% in modeled near-surface concentrations, particularly in the upper tail of the distribution, underscoring its importance for screening-level exposure assessment. The proposed model provides a transparent, reproducible, and user-friendly framework suitable for teaching activities, rapid screening analyses, and exploratory air quality assessments.

Applied SciencesVol. 16(4)
Academia Oamenilor de Știință din România (RO), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Sustainable cities and communities
Openalex Percentile: Top 63%
Wind and Air Flow Studies
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