Odour impact assessment by considering short-term ambient concentrations: A multi-model and two-site comparison

Invernizzi, Marzio; Brancher, Marlon; Sironi, Selena; Capelli, Laura; Piringer, Martin; Schauberger, Günther

doi:10.1016/j.envint.2020.105990

Cited by 19 publications

(13 citation statements)

References 61 publications

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“…In the last decades, the technology advances in terms of computational capability have made dispersion modelling affordable to end users at a large scale, simplifying and speeding up the assessment of new or existing activities, while keeping the accuracy of predictions at high levels. This has made dispersion modelling a key step in the environmental impact assessment process [8].…”

Section: Generalities On Dispersion Modelling and Examplesmentioning

confidence: 99%

“…Starting from the last century, several countries worldwide have adopted regulations to limit the ambient air concentrations of various air pollutants, especially macro-pollutants. However, many countries still do not have regulations to limit the impacts of odorants on people, except for prescriptions regarding the comparison of the results of modelling simulations with odour concentration limits during the authorisation procedure of specific activities [8]. Where odour regulations are available, prescriptions are highly variable both among countries and, in some cases, within the same country [9].…”

Section: Introductionmentioning

confidence: 99%

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In-Depth Analysis on Odour Dispersion Modelling and Its Applications to Waste Management Operations

Adami

Schiavon

Tubino

2022

WIT Transactions on Ecology and the Environment

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The management of waste entails the emission of a large variety of compounds into the atmosphere. Waste management processes (e.g. collection and transportation of waste, discharging of waste in dedicated facilities, mechanical-biological treatments and landfill disposal) are known for causing the problem of odour nuisance in the vicinity of waste treatment plants. Substances like volatile organic compounds, sulphides and nitrogen-based compounds are usually associated with waste management processes and, in general, are characterised by low odour threshold values, i.e. they are detected by the human sense of smell even at relatively low concentrations in ambient air. Dispersion modelling represents a fundamental step for the estimation of the odour impact near odour emission sources. However, the results of odour dispersion simulations are strongly affected by the initial hypotheses on the emission sources considered, by specific modelling parameters and by the quality of meteorological and morphological input data. In addition, the variability in the human perception of odour may not allow making universal conclusions on the results of an odour impact assessment, and this further complicates the matter. The aim of this paper is to shed light on the criticalities involved in the assessment of the odour impacts from waste management activities. The paper analyses and discusses the potential influences of the choices made during the preparation of dispersion modelling simulations. This contribution is expected to enrich the knowledge base on odour dispersion modelling and to help proponents, environmental consultants and environmental agencies to estimate the impacts induced by current and future waste management operations.

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Section: Generalities On Dispersion Modelling and Examplesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

In-Depth Analysis on Odour Dispersion Modelling and Its Applications to Waste Management Operations

Adami

Schiavon

Tubino

2022

WIT Transactions on Ecology and the Environment

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“…Since model validation is a continuous process, other tests are underway. Another validation was described by [34], while an intercomparison with other models for odor applications was described by [35].…”

Section: The Lapmod Dispersion Modelmentioning

confidence: 99%

“…A comparison among three methods for calculating the peak concentrations was recently described in [5]. In this work, the peak concentrations are determined as a function of atmospheric stability and distance from the source, as described in [37] and specifically summarized for LAPMOD in [35]. Concentrations were calculated starting from the particles positions with the Uliasz parabolic kernel [19].…”

Section: The Lapmod Dispersion Modelmentioning

confidence: 99%

“…In other words, the 98th percentile of the peak concentrations at any output point should be lower than the threshold levels. As pointed out by [35], separation distances are described by the contour lines of an am-bient concentration threshold at a fixed exceedance probability of such a threshold. The exceedance probability of 2% corresponds to 176 h, since a leap-year (2020) was simulated.…”

Section: Separation Distancesmentioning

confidence: 99%

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A Heuristic Method for Modeling Odor Emissions from Open Roof Rectangular Tanks

Bellasio¹,

Bianconi²

2022

Atmosphere

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This paper presents heuristic equations for estimating odor emissions from open-roof rectangular tanks as a function of the tank orientation, wind direction, wind speed and distance of the emitting surface from the tank top. These types of equations are important because they may help to improve emission calculations to avoid overestimations, which are damaging to the plant owner, and underestimations, which are negative for the population around the plant. Odor emissions were determined for four tanks with the same area, different shape factors and two different orientations and then used as inputs for a dispersion model in order to calculate separation distances and evaluate their differences. The results show that different separation distances were obtained depending on the tank orientation, shape factor and level of filling. Future field applications to verify and improve the proposed equations are desirable. If the effect of the tank orientation on odor emission is proven, the design of future industrial plants containing open-roof rectangular tanks should consider the results of detailed wind data analysis.

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Dispersion modelling of environmental odours using hourly-resolved emission scenarios: Implications for impact assessments

Brancher

Hoinaski

Piringer

et al. 2021

Atmospheric Environment: X

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Odour impact assessment by considering short-term ambient concentrations: A multi-model and two-site comparison

Cited by 19 publications

References 61 publications

In-Depth Analysis on Odour Dispersion Modelling and Its Applications to Waste Management Operations

In-Depth Analysis on Odour Dispersion Modelling and Its Applications to Waste Management Operations

A Heuristic Method for Modeling Odor Emissions from Open Roof Rectangular Tanks

Dispersion modelling of environmental odours using hourly-resolved emission scenarios: Implications for impact assessments

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