A QGIS-Based Gaussian Plume Dispersion Model for Point Sources: Development and Intercomparison of Reflective and Non-Reflective Formulations
Open Access
- 12 February 2026
- journal article
- research article
- Published by MDPI AG in Applied Sciences
- Vol. 16 (4) , 1833
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.Keywords
Funding Information
- National Program for Research of the National Association of Technical Universities (165/04.12.2023)
This publication has 21 references indexed in Scilit:
- GIS-based modeling of traffic-related air pollution and public health risks: a systematic review with an emphasis on developing urban contextsComputational Urban Science, 2025
- On the Prediction and Forecasting of PMs and Air Pollution: An Application of Deep Hybrid AI-Based ModelsApplied Sciences, 2025
- Air Quality Predictions through Mathematical Modeling for Iron Ore Mine ProjectApplied Sciences, 2024
- A Traffic-Based Method to Predict and Map Urban Air QualityApplied Sciences, 2020
- A GIS-based atmospheric dispersion model for pollutants emitted by complex source areasScience of The Total Environment, 2018
- The contribution of outdoor air pollution sources to premature mortality on a global scaleNature, 2015
- Atmospheric emissions and pollution from the coal-fired thermal power plants in IndiaAtmospheric Environment, 2014
- STEMS-Air: A simple GIS-based air pollution dispersion model for city-wide exposure assessmentScience of The Total Environment, 2011
- A review of dispersion modelling and its application to the dispersion of particles: An overview of different dispersion models availableAtmospheric Environment, 2006
- Air quality model performance evaluationMeteorology and Atmospheric Physics, 2004