Spatially resolved environmental fate models: A review.
Atmospheric models
GIS
Mathematical models
Multimedia chemical fate models
Spatially explicit models
Spatio-temporal resolution
Journal
Chemosphere
ISSN: 1879-1298
Titre abrégé: Chemosphere
Pays: England
ID NLM: 0320657
Informations de publication
Date de publication:
Mar 2022
Mar 2022
Historique:
received:
23
05
2021
revised:
13
12
2021
accepted:
20
12
2021
pubmed:
27
12
2021
medline:
21
1
2022
entrez:
26
12
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 34953876
pii: S0045-6535(21)03868-6
doi: 10.1016/j.chemosphere.2021.133394
pii:
doi:
Substances chimiques
Environmental Pollutants
0
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
133394Informations de copyright
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