Improving the integrated hydrological simulation on a data-scarce catchment with multi-objective calibration

The process-based hydrological model Soil and Water Assessment Tool ensures the simulation's reliability by calibration. Compared to the commonly applied single-objective calibration, multi-objective calibration benefits the spatial parameterization and the simulation of specific processes. How...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Qianwen He, Frank Molkenthin
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	multi-objective calibration nsga-ii parameter uncertainty swat Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/466d1dbc52bd427d9440b77fbcddeded
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:466d1dbc52bd427d9440b77fbcddeded
record_format	dspace
spelling	oai:doaj.org-article:466d1dbc52bd427d9440b77fbcddeded2021-11-05T17:42:51ZImproving the integrated hydrological simulation on a data-scarce catchment with multi-objective calibration1464-71411465-173410.2166/hydro.2021.132https://doaj.org/article/466d1dbc52bd427d9440b77fbcddeded2021-03-01T00:00:00Zhttp://jh.iwaponline.com/content/23/2/267https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734The process-based hydrological model Soil and Water Assessment Tool ensures the simulation's reliability by calibration. Compared to the commonly applied single-objective calibration, multi-objective calibration benefits the spatial parameterization and the simulation of specific processes. However, the requirements of additional observations and the practical procedure are among the reasons to prevent the wider application of the multi-objective calibration. This study proposes to consider three groups of objectives for the calibration: multisite, multi-objective function, and multi-metric. For the study catchment with limited observations like the Yuan River Catchment (YRC) in China, the three groups corresponded to discharge from three hydrometric stations, both Nash–Sutcliffe efficiency (NSE) and inversed NSE for discharge evaluation, and MODIS global terrestrial evapotranspiration product and baseflow filtered from discharge as metrics, respectively. The applicability of two multi-objective calibration approaches, the Euclidean distance and nondominated sorting genetic algorithm II, was analyzed to calibrate the above-mentioned objectives for the YRC. Results show that multi-objective calibration has simultaneously ensured the model's better performance in terms of the spatial parameterization, the magnitude of the output time series, and the water balance components, and it also reduces the parameter and prediction uncertainty. The study thus leads to a generalized, recommended procedure for catchments with data scarcity to perform the multi-objective calibration. HIGHLIGHTS The application of the multi-objective calibration approach on a data-scarce catchment.; Multiple objectives for calibration extracted for a data-scarce catchment from measured discharge and an open-access satellite-based dataset.; The analysis of the applicability of the evolutionary algorithm, nondominated sorting genetic algorithm II, and the aggregation approach, the Euclidean distance.;Qianwen HeFrank MolkenthinIWA Publishingarticlemulti-objective calibrationnsga-iiparameter uncertaintyswatInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 2, Pp 267-283 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	multi-objective calibration nsga-ii parameter uncertainty swat Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
spellingShingle	multi-objective calibration nsga-ii parameter uncertainty swat Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Qianwen He Frank Molkenthin Improving the integrated hydrological simulation on a data-scarce catchment with multi-objective calibration
description	The process-based hydrological model Soil and Water Assessment Tool ensures the simulation's reliability by calibration. Compared to the commonly applied single-objective calibration, multi-objective calibration benefits the spatial parameterization and the simulation of specific processes. However, the requirements of additional observations and the practical procedure are among the reasons to prevent the wider application of the multi-objective calibration. This study proposes to consider three groups of objectives for the calibration: multisite, multi-objective function, and multi-metric. For the study catchment with limited observations like the Yuan River Catchment (YRC) in China, the three groups corresponded to discharge from three hydrometric stations, both Nash–Sutcliffe efficiency (NSE) and inversed NSE for discharge evaluation, and MODIS global terrestrial evapotranspiration product and baseflow filtered from discharge as metrics, respectively. The applicability of two multi-objective calibration approaches, the Euclidean distance and nondominated sorting genetic algorithm II, was analyzed to calibrate the above-mentioned objectives for the YRC. Results show that multi-objective calibration has simultaneously ensured the model's better performance in terms of the spatial parameterization, the magnitude of the output time series, and the water balance components, and it also reduces the parameter and prediction uncertainty. The study thus leads to a generalized, recommended procedure for catchments with data scarcity to perform the multi-objective calibration. HIGHLIGHTS The application of the multi-objective calibration approach on a data-scarce catchment.; Multiple objectives for calibration extracted for a data-scarce catchment from measured discharge and an open-access satellite-based dataset.; The analysis of the applicability of the evolutionary algorithm, nondominated sorting genetic algorithm II, and the aggregation approach, the Euclidean distance.;
format	article
author	Qianwen He Frank Molkenthin
author_facet	Qianwen He Frank Molkenthin
author_sort	Qianwen He
title	Improving the integrated hydrological simulation on a data-scarce catchment with multi-objective calibration
title_short	Improving the integrated hydrological simulation on a data-scarce catchment with multi-objective calibration
title_full	Improving the integrated hydrological simulation on a data-scarce catchment with multi-objective calibration
title_fullStr	Improving the integrated hydrological simulation on a data-scarce catchment with multi-objective calibration
title_full_unstemmed	Improving the integrated hydrological simulation on a data-scarce catchment with multi-objective calibration
title_sort	improving the integrated hydrological simulation on a data-scarce catchment with multi-objective calibration
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/466d1dbc52bd427d9440b77fbcddeded
work_keys_str_mv	AT qianwenhe improvingtheintegratedhydrologicalsimulationonadatascarcecatchmentwithmultiobjectivecalibration AT frankmolkenthin improvingtheintegratedhydrologicalsimulationonadatascarcecatchmentwithmultiobjectivecalibration
_version_	1718444098726133760

Improving the integrated hydrological simulation on a data-scarce catchment with multi-objective calibration

Ejemplares similares