A comprehensive review of Gaussian atmospheric dispersion models: current usage and future perspectives

H Snoun, M Krichen, H Chérif - Euro-Mediterranean Journal for …, 2023 - Springer
This article provides an in-depth review of Gaussian atmospheric dispersion models, which
are mathematical tools used to predict the dispersion of pollutants in the atmosphere. Such …

Air pollution monitoring, and modelling: an overview

F Tahir Bahadur, S Rasool Shah… - Environmental …, 2024 - Taylor & Francis
Air Pollution has been an eclectic ecological problem exposed and exaggerated by constant
urbanization, massive industrialization, population explosion, and unregulated exploitation …

Application of the AERMOD modeling system for environmental impact assessment of NO2 emissions from a cement complex

K Seangkiatiyuth, V Surapipith, K Tantrakarnapa… - journal of environmental …, 2011 - Elsevier
We applied the model of American Meteorological Society-Environmental Protection Agency
Regulatory Model (AERMOD) as a tool for the analysis of nitrogen dioxide (NO 2) emissions …

Machine learning-based white-box prediction and correlation analysis of air pollutants in proximity to industrial zones

S Karimi, M Asghari, R Rabie, ME Niri - Process Safety and Environmental …, 2023 - Elsevier
The adverse health effects caused by long-term exposure to high pollution volumes from
industries near urban areas are a growing concern. Determining accurate distribution …

Emission and dispersion of bioaerosols from dairy manure application sites: human health risk assessment

MA Jahne, SW Rogers, TM Holsen… - … science & technology, 2015 - ACS Publications
In this study, we report the human health risk of gastrointestinal infection associated with
inhalation exposure to airborne zoonotic pathogens emitted following application of dairy …

Satellite Based Mapping of Ground PM2.5 Concentration Using Generalized Additive Modeling

B Zou, J Chen, L Zhai, X Fang, Z Zheng - Remote Sensing, 2016 - mdpi.com
Satellite-based PM2. 5 concentration estimation is growing as a popular solution to map the
PM2. 5 spatial distribution due to the insufficiency of ground-based monitoring stations …

Performance comparison of LUR and OK in PM2.5 concentration mapping: a multidimensional perspective

B Zou, Y Luo, N Wan, Z Zheng, T Sternberg, Y Liao - Scientific reports, 2015 - nature.com
Abstract Methods of Land Use Regression (LUR) modeling and Ordinary Kriging (OK)
interpolation have been widely used to offset the shortcomings of PM2. 5 data observed at …

Prediction of air pollutants concentrations from multiple sources using AERMOD coupled with WRF prognostic model

A Afzali, M Rashid, M Afzali, V Younesi - Journal of Cleaner Production, 2017 - Elsevier
The investigation of pollutants concentrations affected by the multiple sources is essential for
air quality management. In this study, the spatial variations of SO 2, NO 2 and PM 10 emitted …

Urban scale air quality modelling using detailed traffic emissions estimates

C Borrego, JH Amorim, O Tchepel, D Dias… - Atmospheric …, 2016 - Elsevier
The atmospheric dispersion of NO x and PM10 was simulated with a second generation
Gaussian model over a medium-size south-European city. Microscopic traffic models …

Landfill air and odour emissions from an integrated waste management facility

OO Sonibare, JA Adeniran, IS Bello - Journal of Environmental Health …, 2019 - Springer
A mixture of gases and obnoxious odours are major components of landfill emission. A
dispersion modelling on air pollutants and odour emissions anticipated from a proposed …