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| 1. |  | NAVAS, R.; GAMAZO, P.; VERVOORT, R.W. Bayesian inference of synthetic daily rating curves by coupling Chebyshev Polynomials and the GR4J model. [Conference paper]. IAHS Scientific Assembly 2022 - Hydrological Sciences in the Anthropocene, IAHS 2022, Montpellier (France), 29 May - 3 June 2022. In: Proceedings of the International Association of Hydrological Sciences (IAHS), 2024, Volume 385, Pages 399-406. https://doi.org/10.5194/piahs-385-399-2024 -- OPEN ACCESS. 2199-8981 Article history: Received 13 May 2022, Revised 30 May 2023, Accepted 28 August 2023, Published 19 April 2024. -- Correspondence: : Rafael Navas (rafaelnavas23@gmail.com) -- Source type: Conference Proceedings. -- Document type: Conference...| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 2 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
24/06/2024 |
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Actualizado : |
24/06/2024 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
NAVAS, R.; GAMAZO, P.; VERVOORT, R.W. |
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Afiliación : |
RAFAEL NAVAS NÚÑEZ, Hidrología e Hidráulica, Departamento Del Agua, CENUR-Litoral Norte, Universidad de la República, Salto, 50000, Uruguay;INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ORCID: https://orcid.org/0000-0001-8559-9523; PABLO GAMAZO, Hidrología e Hidráulica, Departamento Del Agua, CENUR-Litoral Norte, Universidad de la República, Salto, 50000, Uruguay; R. WILLEM VERVOORT, ARC ITTC in Data Analytics for Resources and Environments, School of Life and Environmental Sciences, The University of Sydney, Sydney, 2006, NSW, Australia. |
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Título : |
Bayesian inference of synthetic daily rating curves by coupling Chebyshev Polynomials and the GR4J model. [Conference paper]. |
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Complemento del título : |
IAHS Scientific Assembly 2022 - Hydrological Sciences in the Anthropocene, IAHS 2022, Montpellier (France), 29 May - 3 June 2022. |
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Fecha de publicación : |
2024 |
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Fuente / Imprenta : |
In: Proceedings of the International Association of Hydrological Sciences (IAHS), 2024, Volume 385, Pages 399-406. https://doi.org/10.5194/piahs-385-399-2024 -- OPEN ACCESS. |
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Serie : |
2199-8981 |
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DOI : |
10.5194/piahs-385-399-2024 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 13 May 2022, Revised 30 May 2023, Accepted 28 August 2023, Published 19 April 2024. -- Correspondence: : Rafael Navas (rafaelnavas23@gmail.com) -- Source type: Conference Proceedings. -- Document type: Conference Paper, Gold Open Access. -- Publisher:
Copernicus Publications on behalf of the International Association of Hydrological Sciences.. -- Volume Editors: Cudennec C. -- Special issue statement. This article is part of the special issue "IAHS2022 - Hydrological sciences in the Anthropocene: Variability and change across space, time, extremes, and interfaces". It is a result of the XIth Scientific Assembly of the International Association of Hydrological Sciences (IAHS 2022), Montpellier, France, 29 May-3 June 2022. -- Funding: This research has been supported by the Instituto Nacional de Investigación Agropecuaria (grant no. FPTA-341) and the Comisión Sectorial de Investigación Científica (grant no. I+D 2018-ID108). -- LICENSE: This work is distributed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/ ) -- |
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Contenido : |
ABSTRACT- In fluvial dynamics studies, there are instances where it becomes necessary to estimate the daily discharge of a river in locations where only one instantaneous level record is available per day. In such cases, there may be no rating curve, or one that is unreliable, making it difficult to make accurate discharge estimates. A daily rating curve would be an estimate of the daily discharge of a river, from a single instantaneous stage level. This work proposes to estimate synthetic (non-gauged) daily rating curves from nearby gauged locations using a rainfall-runoff model. A rainfall-runoff model (GR4J) is coupled with an instantaneous/stage-daily/discharge relationship based on third order Chebyshev polynomials. The parameters in the joint daily rating curve and rainfall-runoff model are optimized and uncertainty is quantified with Bayesian inference and the Delayed Rejection Adaptive Metropolis algorithm assuming model residuals to be normally distributed N(0,o). A case study with four gauging sites in New South Wales, Australia, and periods with no changes in the stage-ischarge relationship were selected. The method is implemented four times across the gauging sites, where three sites are assumed gauged and one site is assumed to have only instantaneous water level records. The results of this methodology can help provide a more comprehensive understanding of the hydrological functioning of systems, where only one instantaneous stage level per day is available. This is particularly useful in situations where historical observations or satellite altimetry data in rivers is used to estimate daily flows. © 2024 Rafael Navas et al. MenosABSTRACT- In fluvial dynamics studies, there are instances where it becomes necessary to estimate the daily discharge of a river in locations where only one instantaneous level record is available per day. In such cases, there may be no rating curve, or one that is unreliable, making it difficult to make accurate discharge estimates. A daily rating curve would be an estimate of the daily discharge of a river, from a single instantaneous stage level. This work proposes to estimate synthetic (non-gauged) daily rating curves from nearby gauged locations using a rainfall-runoff model. A rainfall-runoff model (GR4J) is coupled with an instantaneous/stage-daily/discharge relationship based on third order Chebyshev polynomials. The parameters in the joint daily rating curve and rainfall-runoff model are optimized and uncertainty is quantified with Bayesian inference and the Delayed Rejection Adaptive Metropolis algorithm assuming model residuals to be normally distributed N(0,o). A case study with four gauging sites in New South Wales, Australia, and periods with no changes in the stage-ischarge relationship were selected. The method is implemented four times across the gauging sites, where three sites are assumed gauged and one site is assumed to have only instantaneous water level records. The results of this methodology can help provide a more comprehensive understanding of the hydrological functioning of systems, where only one instantaneous stage level per day is available. Th... Presentar Todo |
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Palabras claves : |
ÁREA DE RECURSOS NATURALES, PRODUCCIÓN Y AMBIENTE - INIA; Modelling; New monitoring; UPH 16; UPH 17. |
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Asunto categoría : |
A50 Investigación agraria |
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URL : |
https://piahs.copernicus.org/articles/385/399/2024/piahs-385-399-2024.pdf
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Marc : |
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100 1 $aNAVAS, R.
245 $aBayesian inference of synthetic daily rating curves by coupling Chebyshev Polynomials and the GR4J model. [Conference paper].$h[electronic resource]
260 $c2024
490 $a2199-8981
500 $aArticle history: Received 13 May 2022, Revised 30 May 2023, Accepted 28 August 2023, Published 19 April 2024. -- Correspondence: : Rafael Navas (rafaelnavas23@gmail.com) -- Source type: Conference Proceedings. -- Document type: Conference Paper, Gold Open Access. -- Publisher: Copernicus Publications on behalf of the International Association of Hydrological Sciences.. -- Volume Editors: Cudennec C. -- Special issue statement. This article is part of the special issue "IAHS2022 - Hydrological sciences in the Anthropocene: Variability and change across space, time, extremes, and interfaces". It is a result of the XIth Scientific Assembly of the International Association of Hydrological Sciences (IAHS 2022), Montpellier, France, 29 May-3 June 2022. -- Funding: This research has been supported by the Instituto Nacional de Investigación Agropecuaria (grant no. FPTA-341) and the Comisión Sectorial de Investigación Científica (grant no. I+D 2018-ID108). -- LICENSE: This work is distributed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/ ) --
520 $aABSTRACT- In fluvial dynamics studies, there are instances where it becomes necessary to estimate the daily discharge of a river in locations where only one instantaneous level record is available per day. In such cases, there may be no rating curve, or one that is unreliable, making it difficult to make accurate discharge estimates. A daily rating curve would be an estimate of the daily discharge of a river, from a single instantaneous stage level. This work proposes to estimate synthetic (non-gauged) daily rating curves from nearby gauged locations using a rainfall-runoff model. A rainfall-runoff model (GR4J) is coupled with an instantaneous/stage-daily/discharge relationship based on third order Chebyshev polynomials. The parameters in the joint daily rating curve and rainfall-runoff model are optimized and uncertainty is quantified with Bayesian inference and the Delayed Rejection Adaptive Metropolis algorithm assuming model residuals to be normally distributed N(0,o). A case study with four gauging sites in New South Wales, Australia, and periods with no changes in the stage-ischarge relationship were selected. The method is implemented four times across the gauging sites, where three sites are assumed gauged and one site is assumed to have only instantaneous water level records. The results of this methodology can help provide a more comprehensive understanding of the hydrological functioning of systems, where only one instantaneous stage level per day is available. This is particularly useful in situations where historical observations or satellite altimetry data in rivers is used to estimate daily flows. © 2024 Rafael Navas et al.
653 $aÁREA DE RECURSOS NATURALES, PRODUCCIÓN Y AMBIENTE - INIA
653 $aModelling
653 $aNew monitoring
653 $aUPH 16
653 $aUPH 17
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700 1 $aVERVOORT, R.W.
773 $tIn: Proceedings of the International Association of Hydrological Sciences (IAHS), 2024, Volume 385, Pages 399-406. https://doi.org/10.5194/piahs-385-399-2024 -- OPEN ACCESS.
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