Effect of length of the observed dataset on the calibration of a distributed hydrological model

Calibration of hydrological models in ungauged basins is now a hot research topic in the field of hydrology. In addition to the traditional method of parameter regionalization, using discontinuous flow observations to calibrate hydrological models has gradually become popular in recent years. In thi...

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Main Authors: X. Cui, W. Sun, J. Teng, H. Song, X. Yao
Format: Article
Language:English
Published: Copernicus Publications 2015-05-01
Series:Proceedings of the International Association of Hydrological Sciences
Online Access:https://www.proc-iahs.net/368/305/2015/piahs-368-305-2015.pdf
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author X. Cui
W. Sun
J. Teng
H. Song
X. Yao
author_facet X. Cui
W. Sun
J. Teng
H. Song
X. Yao
author_sort X. Cui
collection DOAJ
description Calibration of hydrological models in ungauged basins is now a hot research topic in the field of hydrology. In addition to the traditional method of parameter regionalization, using discontinuous flow observations to calibrate hydrological models has gradually become popular in recent years. In this study, the possibility of using a limited number of river discharge data to calibrate a distributed hydrological model, the Soil and Water Assessment Tool (SWAT), was explored. The influence of the quantity of discharge measurements on model calibration in the upper Heihe Basin was analysed. Calibration using only one year of daily discharge measurements was compared with calibration using three years of discharge data. The results showed that the parameter values derived from calibration using one year’s data could achieve similar model performance with calibration using three years’ data, indicating that there is a possibility of using limited numbers of discharge data to calibrate the SWAT model effectively in poorly gauged basins.
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spelling doaj.art-cd46477bd09441179493a3ac9bc185382022-12-22T00:30:33ZengCopernicus PublicationsProceedings of the International Association of Hydrological Sciences2199-89812199-899X2015-05-0136830531110.5194/piahs-368-305-2015Effect of length of the observed dataset on the calibration of a distributed hydrological modelX. Cui0W. Sun1J. Teng2H. Song3X. Yao4College of Water Sciences, Beijing Normal University, Beijing, 100875, ChinaCollege of Water Sciences, Beijing Normal University, Beijing, 100875, ChinaSouth China Institute of Environmental Sciences, Guangzhou, 510655, ChinaCollege of Water Sciences, Beijing Normal University, Beijing, 100875, ChinaCollege of Water Sciences, Beijing Normal University, Beijing, 100875, ChinaCalibration of hydrological models in ungauged basins is now a hot research topic in the field of hydrology. In addition to the traditional method of parameter regionalization, using discontinuous flow observations to calibrate hydrological models has gradually become popular in recent years. In this study, the possibility of using a limited number of river discharge data to calibrate a distributed hydrological model, the Soil and Water Assessment Tool (SWAT), was explored. The influence of the quantity of discharge measurements on model calibration in the upper Heihe Basin was analysed. Calibration using only one year of daily discharge measurements was compared with calibration using three years of discharge data. The results showed that the parameter values derived from calibration using one year’s data could achieve similar model performance with calibration using three years’ data, indicating that there is a possibility of using limited numbers of discharge data to calibrate the SWAT model effectively in poorly gauged basins.https://www.proc-iahs.net/368/305/2015/piahs-368-305-2015.pdf
spellingShingle X. Cui
W. Sun
J. Teng
H. Song
X. Yao
Effect of length of the observed dataset on the calibration of a distributed hydrological model
Proceedings of the International Association of Hydrological Sciences
title Effect of length of the observed dataset on the calibration of a distributed hydrological model
title_full Effect of length of the observed dataset on the calibration of a distributed hydrological model
title_fullStr Effect of length of the observed dataset on the calibration of a distributed hydrological model
title_full_unstemmed Effect of length of the observed dataset on the calibration of a distributed hydrological model
title_short Effect of length of the observed dataset on the calibration of a distributed hydrological model
title_sort effect of length of the observed dataset on the calibration of a distributed hydrological model
url https://www.proc-iahs.net/368/305/2015/piahs-368-305-2015.pdf
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AT jteng effectoflengthoftheobserveddatasetonthecalibrationofadistributedhydrologicalmodel
AT hsong effectoflengthoftheobserveddatasetonthecalibrationofadistributedhydrologicalmodel
AT xyao effectoflengthoftheobserveddatasetonthecalibrationofadistributedhydrologicalmodel