Assessing the Relative Importance of Spatial Variability in Emissions Versus Landscape Properties in Fate Models for Environmental Exposure Assessment of Chemicals
Abstract Multimedia mass balance models differ in their treatment of spatial resolution from single boxes representing an entire region to multiple interconnected boxes with varying landscape properties and emission intensities. Here, model experiments were conducted to determine the relative import...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Hollander, A. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2012 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media B.V. 2012 |
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| Übergeordnetes Werk: |
Enthalten in: Environmental modeling & assessment - Springer Netherlands, 1996, 17(2012), 6 vom: 28. März, Seite 577-587 |
|---|---|
| Übergeordnetes Werk: |
volume:17 ; year:2012 ; number:6 ; day:28 ; month:03 ; pages:577-587 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10666-012-9315-5 |
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OLC2036519555 |
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| 520 | |a Abstract Multimedia mass balance models differ in their treatment of spatial resolution from single boxes representing an entire region to multiple interconnected boxes with varying landscape properties and emission intensities. Here, model experiments were conducted to determine the relative importance of these two main factors that cause spatial variation in environmental chemical concentrations: spatial patterns in emission intensities and spatial differences in environmental conditions. In the model, experiments emissions were always to the air compartment. It was concluded that variation in emissions is in most cases the dominant source of variation in environmental concentrations. It was found, however, that variability in environmental conditions can strongly influence predicted concentrations in some cases, if the receptor compartments of interest are soil or water—for water concentrations particularly if a chemical has a high octanol–air partition coefficient (Koa). This information will help to determine the required level of spatial detail that suffices for a specific regulatory purpose. | ||
| 650 | 4 | |a Multimedia fate model | |
| 650 | 4 | |a Spatial concentration variation | |
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| 650 | 4 | |a Emissions | |
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| 700 | 1 | |a Cousins, I. T. |4 aut | |
| 700 | 1 | |a Huijbregts, M. A. J. |4 aut | |
| 700 | 1 | |a Pistocchi, A. |4 aut | |
| 700 | 1 | |a Ragas, A. M. J. |4 aut | |
| 700 | 1 | |a van de Meent, D. |4 aut | |
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Hollander, A. Hauck, M. Cousins, I. T. Huijbregts, M. A. J. Pistocchi, A. Ragas, A. M. J. van de Meent, D. |
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assessing the relative importance of spatial variability in emissions versus landscape properties in fate models for environmental exposure assessment of chemicals |
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Assessing the Relative Importance of Spatial Variability in Emissions Versus Landscape Properties in Fate Models for Environmental Exposure Assessment of Chemicals |
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Abstract Multimedia mass balance models differ in their treatment of spatial resolution from single boxes representing an entire region to multiple interconnected boxes with varying landscape properties and emission intensities. Here, model experiments were conducted to determine the relative importance of these two main factors that cause spatial variation in environmental chemical concentrations: spatial patterns in emission intensities and spatial differences in environmental conditions. In the model, experiments emissions were always to the air compartment. It was concluded that variation in emissions is in most cases the dominant source of variation in environmental concentrations. It was found, however, that variability in environmental conditions can strongly influence predicted concentrations in some cases, if the receptor compartments of interest are soil or water—for water concentrations particularly if a chemical has a high octanol–air partition coefficient (Koa). This information will help to determine the required level of spatial detail that suffices for a specific regulatory purpose. © Springer Science+Business Media B.V. 2012 |
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Abstract Multimedia mass balance models differ in their treatment of spatial resolution from single boxes representing an entire region to multiple interconnected boxes with varying landscape properties and emission intensities. Here, model experiments were conducted to determine the relative importance of these two main factors that cause spatial variation in environmental chemical concentrations: spatial patterns in emission intensities and spatial differences in environmental conditions. In the model, experiments emissions were always to the air compartment. It was concluded that variation in emissions is in most cases the dominant source of variation in environmental concentrations. It was found, however, that variability in environmental conditions can strongly influence predicted concentrations in some cases, if the receptor compartments of interest are soil or water—for water concentrations particularly if a chemical has a high octanol–air partition coefficient (Koa). This information will help to determine the required level of spatial detail that suffices for a specific regulatory purpose. © Springer Science+Business Media B.V. 2012 |
| abstract_unstemmed |
Abstract Multimedia mass balance models differ in their treatment of spatial resolution from single boxes representing an entire region to multiple interconnected boxes with varying landscape properties and emission intensities. Here, model experiments were conducted to determine the relative importance of these two main factors that cause spatial variation in environmental chemical concentrations: spatial patterns in emission intensities and spatial differences in environmental conditions. In the model, experiments emissions were always to the air compartment. It was concluded that variation in emissions is in most cases the dominant source of variation in environmental concentrations. It was found, however, that variability in environmental conditions can strongly influence predicted concentrations in some cases, if the receptor compartments of interest are soil or water—for water concentrations particularly if a chemical has a high octanol–air partition coefficient (Koa). This information will help to determine the required level of spatial detail that suffices for a specific regulatory purpose. © Springer Science+Business Media B.V. 2012 |
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Assessing the Relative Importance of Spatial Variability in Emissions Versus Landscape Properties in Fate Models for Environmental Exposure Assessment of Chemicals |
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