Influence of multisite calibration on streamflow estimation based on the hydrological model with CMADS inputs

Due to the spatial heterogeneity, the hydrological model calibration results only at the total outlet of the basin may not represent the whole basin. To more accurately simulate the historical streamflow process within the Qujiang River Basin, we set up three calibration strategies (single-site, S1;...

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Autores principales:	Yongyu Song, Jing Zhang, Yuequn Lai
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	cmads cmip6 multisite sequential calibration streamflow projection swat model Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/8392b4c594b84ec6a536797057187a71
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spelling	oai:doaj.org-article:8392b4c594b84ec6a536797057187a712021-11-09T23:59:53ZInfluence of multisite calibration on streamflow estimation based on the hydrological model with CMADS inputs2040-22442408-935410.2166/wcc.2021.115https://doaj.org/article/8392b4c594b84ec6a536797057187a712021-11-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/7/3264https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354Due to the spatial heterogeneity, the hydrological model calibration results only at the total outlet of the basin may not represent the whole basin. To more accurately simulate the historical streamflow process within the Qujiang River Basin, we set up three calibration strategies (single-site, S1; multisite simultaneous, S2; and multisite sequential, S3) for four hydrological stations based on the SWAT (Soil and Water Assessment Tool) model driven by CMADS (China Meteorological Assimilation Driving Datasets for the SWAT model). In addition, the implications of these calibration issues are extended to future streamflow projections using multimodel ensemble data in CMIP6 (Coupled Model Intercomparison Project Phase 6). In the model calibration phase, the SWAT model achieved very satisfactory results in the study area. Compared with S1 and S2, S3 can effectively improve the accuracy of streamflow simulation of stations within the basin and reduce the simulation deviation. Especially at the daily scale, the average NSE values of the four stations with S3 increased by 0.26 and 0.07, and the overall deviation decreased by 0.25 and 6.43%, respectively. Parameter sensitivity analysis also shows that spatial heterogeneity can be more adequately considered when using S3 to calibrate the model. As for the results of future streamflow projection, when using the S3, the average annual streamflow of four stations in the three climate scenarios from 2021 to 2050 is about 44.21, 130.00, 321.55 and 713.24 m3/s, respectively. Correspondingly, the use of S1 and S2 would bring certain risks to future water resource management. HIGHLIGHTS Set up single-site (S1), multisite simultaneous (S2) and multisite sequential (S3) calibration strategies to explore the discrepancy of streamflow simulation of four stations.; The SWAT model is driven by CMADS data input.; The impact of three strategies on future streamflow projection is discussed with CMIP6.; Parameter sensitivity analysis shows that spatial heterogeneity can be more adequately considered using S3 to calibrate the model.;Yongyu SongJing ZhangYuequn LaiIWA Publishingarticlecmadscmip6multisite sequential calibrationstreamflow projectionswat modelEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 7, Pp 3264-3281 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cmads cmip6 multisite sequential calibration streamflow projection swat model Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
spellingShingle	cmads cmip6 multisite sequential calibration streamflow projection swat model Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Yongyu Song Jing Zhang Yuequn Lai Influence of multisite calibration on streamflow estimation based on the hydrological model with CMADS inputs
description	Due to the spatial heterogeneity, the hydrological model calibration results only at the total outlet of the basin may not represent the whole basin. To more accurately simulate the historical streamflow process within the Qujiang River Basin, we set up three calibration strategies (single-site, S1; multisite simultaneous, S2; and multisite sequential, S3) for four hydrological stations based on the SWAT (Soil and Water Assessment Tool) model driven by CMADS (China Meteorological Assimilation Driving Datasets for the SWAT model). In addition, the implications of these calibration issues are extended to future streamflow projections using multimodel ensemble data in CMIP6 (Coupled Model Intercomparison Project Phase 6). In the model calibration phase, the SWAT model achieved very satisfactory results in the study area. Compared with S1 and S2, S3 can effectively improve the accuracy of streamflow simulation of stations within the basin and reduce the simulation deviation. Especially at the daily scale, the average NSE values of the four stations with S3 increased by 0.26 and 0.07, and the overall deviation decreased by 0.25 and 6.43%, respectively. Parameter sensitivity analysis also shows that spatial heterogeneity can be more adequately considered when using S3 to calibrate the model. As for the results of future streamflow projection, when using the S3, the average annual streamflow of four stations in the three climate scenarios from 2021 to 2050 is about 44.21, 130.00, 321.55 and 713.24 m3/s, respectively. Correspondingly, the use of S1 and S2 would bring certain risks to future water resource management. HIGHLIGHTS Set up single-site (S1), multisite simultaneous (S2) and multisite sequential (S3) calibration strategies to explore the discrepancy of streamflow simulation of four stations.; The SWAT model is driven by CMADS data input.; The impact of three strategies on future streamflow projection is discussed with CMIP6.; Parameter sensitivity analysis shows that spatial heterogeneity can be more adequately considered using S3 to calibrate the model.;
format	article
author	Yongyu Song Jing Zhang Yuequn Lai
author_facet	Yongyu Song Jing Zhang Yuequn Lai
author_sort	Yongyu Song
title	Influence of multisite calibration on streamflow estimation based on the hydrological model with CMADS inputs
title_short	Influence of multisite calibration on streamflow estimation based on the hydrological model with CMADS inputs
title_full	Influence of multisite calibration on streamflow estimation based on the hydrological model with CMADS inputs
title_fullStr	Influence of multisite calibration on streamflow estimation based on the hydrological model with CMADS inputs
title_full_unstemmed	Influence of multisite calibration on streamflow estimation based on the hydrological model with CMADS inputs
title_sort	influence of multisite calibration on streamflow estimation based on the hydrological model with cmads inputs
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/8392b4c594b84ec6a536797057187a71
work_keys_str_mv	AT yongyusong influenceofmultisitecalibrationonstreamflowestimationbasedonthehydrologicalmodelwithcmadsinputs AT jingzhang influenceofmultisitecalibrationonstreamflowestimationbasedonthehydrologicalmodelwithcmadsinputs AT yuequnlai influenceofmultisitecalibrationonstreamflowestimationbasedonthehydrologicalmodelwithcmadsinputs
_version_	1718440764011184128

Influence of multisite calibration on streamflow estimation based on the hydrological model with CMADS inputs

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