Odour-impact assessment around a landfill site from weather-type classification, complaint inventory and numerical simulation

Gases released from landfill sites into the atmosphere have the potential to cause olfactory nuisances within the surrounding communities. Landfill sites are often located over complex topography for convenience mainly related to waste disposal and environmental masking. Dispersion of odours is stro...

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Veröffentlicht in:Journal of environmental management 2012, Vol.93 (1), p.85-94
Hauptverfasser: Chemel, C., Riesenmey, C., Batton-Hubert, M., Vaillant, H.
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creator Chemel, C.
Riesenmey, C.
Batton-Hubert, M.
Vaillant, H.
description Gases released from landfill sites into the atmosphere have the potential to cause olfactory nuisances within the surrounding communities. Landfill sites are often located over complex topography for convenience mainly related to waste disposal and environmental masking. Dispersion of odours is strongly conditioned by local atmospheric dynamics. Assessment of odour impacts needs to take into account the variability of local atmospheric dynamics. In this study, we discuss a method to assess odour impacts around a landfill site located over complex terrain in order to provide information to be used subsequently to identify management strategies to reduce olfactory nuisances in the residential neighbourhoods. A weather-type classification is defined in order to identify meteorological conditions under which olfactory nuisances are to be expected. A non-steady state Gaussian model and a full-physics meteorological model are used to predict olfactory nuisances, for both the winter and summer scenarios that lead to the majority of complaints in neighbourhoods surrounding the landfill site. Simulating representative scenarios rather than full years make a high resolution simulation of local atmospheric dynamics in space and time possible. Results underline the key role of local atmospheric dynamics in driving the dispersion of odours. The odour concentration simulated by the full-physics meteorological model is combined with the density of the population in order to calculate an average population exposure for the two scenarios. Results of this study are expected to provide helpful information to develop technical solutions for an effective management of landfill operations, which would reduce odour impacts within the surrounding communities. ► Meteorological conditions leading to olfactory nuisances were identified. ► The variability of local atmospheric dynamics needs to be considered. ► An average population exposure was calculated for representative scenarios.
doi_str_mv 10.1016/j.jenvman.2011.08.016
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Landfill sites are often located over complex topography for convenience mainly related to waste disposal and environmental masking. Dispersion of odours is strongly conditioned by local atmospheric dynamics. Assessment of odour impacts needs to take into account the variability of local atmospheric dynamics. In this study, we discuss a method to assess odour impacts around a landfill site located over complex terrain in order to provide information to be used subsequently to identify management strategies to reduce olfactory nuisances in the residential neighbourhoods. A weather-type classification is defined in order to identify meteorological conditions under which olfactory nuisances are to be expected. A non-steady state Gaussian model and a full-physics meteorological model are used to predict olfactory nuisances, for both the winter and summer scenarios that lead to the majority of complaints in neighbourhoods surrounding the landfill site. 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Landfill sites are often located over complex topography for convenience mainly related to waste disposal and environmental masking. Dispersion of odours is strongly conditioned by local atmospheric dynamics. Assessment of odour impacts needs to take into account the variability of local atmospheric dynamics. In this study, we discuss a method to assess odour impacts around a landfill site located over complex terrain in order to provide information to be used subsequently to identify management strategies to reduce olfactory nuisances in the residential neighbourhoods. A weather-type classification is defined in order to identify meteorological conditions under which olfactory nuisances are to be expected. A non-steady state Gaussian model and a full-physics meteorological model are used to predict olfactory nuisances, for both the winter and summer scenarios that lead to the majority of complaints in neighbourhoods surrounding the landfill site. Simulating representative scenarios rather than full years make a high resolution simulation of local atmospheric dynamics in space and time possible. Results underline the key role of local atmospheric dynamics in driving the dispersion of odours. The odour concentration simulated by the full-physics meteorological model is combined with the density of the population in order to calculate an average population exposure for the two scenarios. 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subjects Air Pollution - analysis
Animal, plant and microbial ecology
Applied ecology
Assessments
at-risk population
atmosphere
Atmospherics
Biological and medical sciences
Chemosensory perception
Cluster Analysis
Complex terrain
Computer Simulation
Conservation, protection and management of environment and wildlife
Data classification
dispersions
Dynamics
Environment and Society
Environmental management
Environmental Monitoring - methods
Environmental Sciences
exposure scenario
Fundamental and applied biological sciences. Psychology
gases
General aspects
Humans
Inhalation Exposure - analysis
inventories
Landfill
Landfill site
Landfills
Management
Mathematical models
Meteorological Concepts
Modelling
Models, Theoretical
neighborhoods
Normal Distribution
Numerical simulation
Odorants
Odors
Odours
Olfactory nuisances
population density
Principal Component Analysis
Refuse Disposal
Residence Characteristics
Residential areas
Seasons
Simulation
Smell
space and time
Strategic planning
summer
Topography
Waste management
Weather
winter
title Odour-impact assessment around a landfill site from weather-type classification, complaint inventory and numerical simulation
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