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Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data

Conceptual hydrological models can move towards process‐oriented modelling when addressing broader issues than discharge modelling alone. For instance, water quality modelling generally requires understanding of both pathways and travel times which might not be easily identified because observations...

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Autores principales: de Lavenne, Alban, Lindström, Göran, Strömqvist, Johan, Pers, Charlotta, Bartosova, Alena, Arheimer, Berit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369921/
https://www.ncbi.nlm.nih.gov/pubmed/37502606
http://dx.doi.org/10.1002/hyp.14767
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author de Lavenne, Alban
Lindström, Göran
Strömqvist, Johan
Pers, Charlotta
Bartosova, Alena
Arheimer, Berit
author_facet de Lavenne, Alban
Lindström, Göran
Strömqvist, Johan
Pers, Charlotta
Bartosova, Alena
Arheimer, Berit
author_sort de Lavenne, Alban
collection PubMed
description Conceptual hydrological models can move towards process‐oriented modelling when addressing broader issues than discharge modelling alone. For instance, water quality modelling generally requires understanding of both pathways and travel times which might not be easily identified because observations at the outlet aggregate all processes at the catchment scale. In this study we tested if adding a second kind of observation, specifically sediment data, can help distinguish overland flow from total discharge. We applied a multi‐objective calibration on both discharge and suspended sediment concentration simulation performance to the World‐Wide Hydrological Predictions for the Environment (HYPE) model for 111 catchments spread over the USA. Results show that in comparison to two calibrations made one after the other, the multi‐objective calibration leads to a significant improvement on the simulation performance of suspended sediments without a significant impact on the performance of discharge. New modelling hypotheses for overland flow calculations are proposed and resulted in similar discharge performances as the original one but with fewer parameters, which reduces equifinality and can prevent unwarranted model complexity in data‐poor areas.
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spelling pubmed-103699212023-07-27 Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data de Lavenne, Alban Lindström, Göran Strömqvist, Johan Pers, Charlotta Bartosova, Alena Arheimer, Berit Hydrol Process Special Issue Papers Conceptual hydrological models can move towards process‐oriented modelling when addressing broader issues than discharge modelling alone. For instance, water quality modelling generally requires understanding of both pathways and travel times which might not be easily identified because observations at the outlet aggregate all processes at the catchment scale. In this study we tested if adding a second kind of observation, specifically sediment data, can help distinguish overland flow from total discharge. We applied a multi‐objective calibration on both discharge and suspended sediment concentration simulation performance to the World‐Wide Hydrological Predictions for the Environment (HYPE) model for 111 catchments spread over the USA. Results show that in comparison to two calibrations made one after the other, the multi‐objective calibration leads to a significant improvement on the simulation performance of suspended sediments without a significant impact on the performance of discharge. New modelling hypotheses for overland flow calculations are proposed and resulted in similar discharge performances as the original one but with fewer parameters, which reduces equifinality and can prevent unwarranted model complexity in data‐poor areas. John Wiley & Sons, Inc. 2022-12-01 2022-12 /pmc/articles/PMC10369921/ /pubmed/37502606 http://dx.doi.org/10.1002/hyp.14767 Text en © 2022 The Authors. Hydrological Processes published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Special Issue Papers
de Lavenne, Alban
Lindström, Göran
Strömqvist, Johan
Pers, Charlotta
Bartosova, Alena
Arheimer, Berit
Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data
title Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data
title_full Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data
title_fullStr Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data
title_full_unstemmed Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data
title_short Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data
title_sort evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data
topic Special Issue Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369921/
https://www.ncbi.nlm.nih.gov/pubmed/37502606
http://dx.doi.org/10.1002/hyp.14767
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