Comparison of different multi-objective calibration criteria using a conceptual rainfall-runoff model of flood events
Autor: | Roger Moussa, N. Chahinian |
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Přispěvatelé: | Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut de Recherche pour le Développement (IRD [ Madagascar])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Hydrosciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut de Recherche pour le Développement (IRD [ Madagascar])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2009 |
Předmět: |
Mathematical optimization
010504 meteorology & atmospheric sciences Mean squared error media_common.quotation_subject [SDV]Life Sciences [q-bio] 0207 environmental engineering HYDROLOGIE ETALONNAGE CRUES 02 engineering and technology modèle lcsh:Technology 01 natural sciences lcsh:TD1-1066 Set (abstract data type) Statistics Calibration Quality (business) inondation lcsh:Environmental technology. Sanitary engineering 020701 environmental engineering lcsh:Environmental sciences 0105 earth and related environmental sciences Mathematics media_common Event (probability theory) lcsh:GE1-350 Structure (mathematical logic) Flood myth Basis (linear algebra) lcsh:T lcsh:Geography. Anthropology. Recreation pays méditerranéen bassin versant lcsh:G europe france |
Zdroj: | Hydrology and Earth System Sciences Hydrology and Earth System Sciences, European Geosciences Union, 2009, 13 (4), pp.519-535. ⟨10.5194/hess-13-519-2009⟩ Hydrology and Earth System Sciences 4 (13), 519–535. (2009) ResearcherID Hydrology and Earth System Sciences, Vol 13, Iss 4, Pp 519-535 (2009) Hydrology and Earth System Sciences, 2009, 13 (4), pp.519-535. ⟨10.5194/hess-13-519-2009⟩ |
ISSN: | 1027-5606 1607-7938 |
DOI: | 10.5194/hess-13-519-2009⟩ |
Popis: | A conceptual lumped rainfall-runoff flood event model was developed and applied on the Gardon catchment located in Southern France and various single-objective and multi-objective functions were used for its calibration. The model was calibrated on 15 events and validated on 14 others. The results of both the calibration and validation phases are compared on the basis of their performance with regards to six criteria, three global criteria and three relative criteria representing volume, peakflow, and the root mean square error. The first type of criteria gives more weight to large events whereas the second considers all events to be of equal weight. The results show that the calibrated parameter values are dependent on the type of criteria used. Significant trade-offs are observed between the different objectives: no unique set of parameters is able to satisfy all objectives simultaneously. Instead, the solution to the calibration problem is given by a set of Pareto optimal solutions. From this set of optimal solutions, a balanced aggregated objective function is proposed, as a compromise between up to three objective functions. The single-objective and multi-objective calibration strategies are compared both in terms of parameter variation bounds and simulation quality. The results of this study indicate that two well chosen and non-redundant objective functions are sufficient to calibrate the model and that the use of three objective functions does not necessarily yield different results. The problems of non-uniqueness in model calibration, and the choice of the adequate objective functions for flood event models, emphasise the importance of the modeller's intervention. The recent advances in automatic optimisation techniques do not minimise the user's responsibility, who has to choose multiple criteria based on the aims of the study, his appreciation on the errors induced by data and model structure and his knowledge of the catchment's hydrology. |
Databáze: | OpenAIRE |
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