Recent insights on uncertainties present in integrated catchment water quality modelling.
Complexity management
Integrated catchment modelling
Sub-models of integrated modelling
Uncertainty
Water quality
Journal
Water research
ISSN: 1879-2448
Titre abrégé: Water Res
Pays: England
ID NLM: 0105072
Informations de publication
Date de publication:
01 03 2019
01 03 2019
Historique:
received:
19
07
2018
revised:
22
11
2018
accepted:
29
11
2018
pubmed:
15
12
2018
medline:
26
9
2019
entrez:
15
12
2018
Statut:
ppublish
Résumé
This paper aims to stimulate discussion based on the experiences derived from the QUICS project (Quantifying Uncertainty in Integrated Catchment Studies). First it briefly discusses the current state of knowledge on uncertainties in sub-models of integrated catchment models and the existing frameworks for analysing uncertainty. Furthermore, it compares the relative approaches of both building and calibrating fully integrated models or linking separate sub-models. It also discusses the implications of model linkage on overall uncertainty and how to define an acceptable level of model complexity. This discussion includes, whether we should shift our attention from uncertainties due to linkage, when using linked models, to uncertainties in model structure by necessary simplification or by using more parameters. This discussion attempts to address the question as to whether there is an increase in uncertainty by linking these models or if a compensation effect could take place and that overall uncertainty in key water quality parameters actually decreases. Finally, challenges in the application of uncertainty analysis in integrated catchment water quality modelling, as encountered in this project, are discussed and recommendations for future research areas are highlighted.
Identifiants
pubmed: 30550867
pii: S0043-1354(18)31009-1
doi: 10.1016/j.watres.2018.11.079
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
368-379Informations de copyright
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.