An Introduction to Atmospheric Pollutant Dispersion Modelling

Johnson, Joel B.

doi:10.3390/ecas2022-12826

Cited by 11 publications

(9 citation statements)

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“…Emissions from burning activities in mining areas are a global environmental problem. Dispersion modeling, which includes pollutant concentrations, chemical reactions, building effects, meteorology, plume rise, and pollutant deposition, is accomplished by simulating using an application such as AERMOD [30]. Used oil comes from workshop and machine maintenance activities in the Concentrating Division.…”

Section: Resultsmentioning

confidence: 99%

Modelling of Air Pollution Dispersion in the Utilization of Used Oil as a Fuel

Purwanto,

Susanto,

Hasari

et al. 2024

E3S Web Conf.

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The need for quicklime has led to increased utilization of used oil as a substitute for fuel in its combustion process. Mahaka Lime Factory produces SO2 and NOX, which are emitted through the chimney and proportional to lime burning. Therefore, it is necessary to monitor the distribution of the emission concentration in the ambient air. One of the methods used to facilitate the monitoring process to ensure it is kept below the quality standard is dispersion modeling. This is an analytical model processed with the help of AERMOD software and the Gaussian equation. The SO2 concentrations of 0.001 mg/m3 and 0.001 mg/m3, as well as NOX of 0.027 mg/m3 and 0.044 mg/m3 obtained from the calculation, were below the applicable quality standard. Furthermore, emission concentrations directly observed were more significant than the Gaussian modeling results due to the presence of other pollutants around the factory. In conclusion, the dispersion modeling using AERMOD software showed that the largest and lowest distribution of emission concentrations are in the cliff area around the emission source and on the ground surface close to the chimney.

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Section: Resultsmentioning

confidence: 99%

Modelling of Air Pollution Dispersion in the Utilization of Used Oil as a Fuel

Purwanto,

Susanto,

Hasari

et al. 2024

E3S Web Conf.

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“…Lagrangian models were used to simulate the trajectories of "puffs" of pollutants emitted from the source at regular intervals. The most common model was a "Gaussian puff" model when each puff assumed to follow a Gaussian distribution as it moves downwind and expands [8]. Each puff will be treated independently due to the varying rates and move in various directions.…”

Section: Gas Dispersion Modellingmentioning

confidence: 99%

Flammable gas dispersion modelling on an offshore platform

Nur Syazni Mohd Suyut,

Mohd Fadhil Majnis,

Soraya Tamara Abdul Malik

2024

progee

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Flammable gas dispersed from the vent on an offshore platform can react in an explosive manner by the existence of air or pure oxygen at a certain concentration within its flammability limits. Due to unwanted accidents that might occur, resulting in loss of life and asset damage thus, flammable gas dispersion modelling was conducted to identify any recommendation or mitigation if required. Due to no risk assessment on the offshore platform to perceive the dispersion model based on various perspectives, multiple software was used in assessing recommendations and mitigation. Therefore, the flammable gas dispersion study carried out was to obtain dispersion modelling on the identified offshore platform's vent as an early solution to avoid the occurrence of risk scenario. The model of flammable gas dispersion has been developed by using two notable fire and explosion modelling software: Areal Locations of Hazardous Analysis (ALOHA) and Process Hazard Analysis Software Tool (PHAST). The meteorological conditions consist of wind speed, and atmospheric stability has been used as manipulated variables. Meanwhile, the vent designs (height, diameter, angle, pressure, temperature and flowrate of flammable gas release) and vent composition remain unchanged for all the selected weather conditions. The impairment assessment conducted showed the dispersion contour obtained through ALOHA and PHAST, no risk reduction and recommendations required as the plume dispersed at the highest cloud height, thus both the manned area or escape routes and muster area were not affected by the flammable gas released from the vent.

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“…re ned receptor grid, hourly meteorological data, source placement, etc.) and models, such as the Lagrangian Particle Dispersion Model (LPDM) (Johnson, 2022), are used (Maine DEP, 2019b). As for the screening models, the advanced model outputs are compared to the OIC, to verify the compliance of the emitting source with the legislation.…”

Section: Introductionmentioning

confidence: 99%

The screening evaluation of environmental odors: a new dispersion modelling-based tool

Pelliconi,

Andretta,

Righi

2024

Preprint

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Odor pollution is the biggest source of complaints from citizens concerning environmental issues after noise. Often, the need for corrective actions is evaluated through simulations performed with atmospheric dispersion models. To save resources, air pollution control institutions perform a first-level odor impact assessment, for screening purposes. This is often based on Gaussian Dispersion Models (GDM), which can be executed through user-friendly software that doesn’t need high computational power. However, their outputs tend to be excessively conservative regarding the analyzed situation, rather than representative of the real in-site conditions. Hence, regulations and guidelines adopted at an institutional level for authorization/control purposes, are based on Lagrangian Particle Dispersion Models (LPDM). These grant a more accurate modelling of the pollutants’ dispersion but are very demanding regarding both the needed users’ technical skills and high computing power. The present study aims to increase the accuracy of screening odor impact assessment, by identifying the correlation function of the outputs derived from the two simulation models. The case-study is placed in northern Italy, where a single-point source, with various stack heights, was considered. The identified correlation functions could allow institutions to estimate the results that would have been forecasted with the application of the more complex LPDM, applying, however, the much simpler GDM. This grants an accurate tool which can be used to address citizens’ concerns while saving workforce and technical resources.

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An Introduction to Atmospheric Pollutant Dispersion Modelling

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Cited by 11 publications

References 100 publications

Modelling of Air Pollution Dispersion in the Utilization of Used Oil as a Fuel

Modelling of Air Pollution Dispersion in the Utilization of Used Oil as a Fuel

Flammable gas dispersion modelling on an offshore platform

The screening evaluation of environmental odors: a new dispersion modelling-based tool

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