Spatially resolved environmental fate models: A review
Spatially resolved environmental models are important tools to introduce and highlight the spatial variability of the real world into modeling. Although various spatial models have been developed so far, yet the development and evaluation of these models remain a challenging task due to several diff...
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Veröffentlicht in: | Chemosphere (Oxford) 2022-03, Vol.290, p.133394-133394, Article 133394 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Spatially resolved environmental models are important tools to introduce and highlight the spatial variability of the real world into modeling. Although various spatial models have been developed so far, yet the development and evaluation of these models remain a challenging task due to several difficulties related to model setup, computational cost, and obtaining high-resolution input data (e.g., monitoring and emission data). For example, atmospheric transport models can be used when high resolution predicted concentrations in atmospheric compartments are required, while spatial multimedia fate models may be preferred for regulatory risk assessment, life cycle impact assessment of chemicals, or when the partitioning of chemical substances in a multimedia environment is considered. The goal of this paper is to review and compare different spatially resolved environmental models, according to their spatial, temporal and chemical domains, with a closer insight into spatial multimedia fate models, to achieve a better understanding of their strengths and limitations. This review also points out several requirements for further improvement of existing models as well as for their integration.
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•Spatial atmospheric transport models and multimedia fate models were reviewed.•More than 50 spatial models were described including their applications.•Their spatial, temporal, and chemical domains were investigated for comparison.•Further developments especially their integration is suggested. |
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ISSN: | 0045-6535 1879-1298 |
DOI: | 10.1016/j.chemosphere.2021.133394 |