Coupling the Xinanjiang model and wavelet-based random forests method for improved daily streamflow simulation

Daily streamflow modeling is an important tool for water resources management and flood mitigation. This study compared the performance of the Xinanjiang (XAJ) model and random forests (RF) method in a daily streamflow simulation, and proposed several hybrid models based on the XAJ model, wavelet an...

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Autores principales:	Jian Wang, Weimin Bao, Qianyu Gao, Wei Si, Yiqun Sun
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	daily streamflow simulation hybrid approach random forests model wavelet analysis xinanjiang model Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/9a81ea48516b4784bf29e2d31846c700
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spelling	oai:doaj.org-article:9a81ea48516b4784bf29e2d31846c7002021-11-05T17:46:52ZCoupling the Xinanjiang model and wavelet-based random forests method for improved daily streamflow simulation1464-71411465-173410.2166/hydro.2021.111https://doaj.org/article/9a81ea48516b4784bf29e2d31846c7002021-05-01T00:00:00Zhttp://jh.iwaponline.com/content/23/3/589https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734Daily streamflow modeling is an important tool for water resources management and flood mitigation. This study compared the performance of the Xinanjiang (XAJ) model and random forests (RF) method in a daily streamflow simulation, and proposed several hybrid models based on the XAJ model, wavelet analysis, and RF method (including XAJ-RF model, WRF model, and XAJ-WRF model). The proposed methods were applied to Shiquan station, located in the Upper Han River basin in China. Five performance measures (NSE, RMSE, PBIAS, MAE, and R) were adopted to evaluate the modeling accuracy. Results showed that XAJ-RF model had a relatively higher level of accuracy than that of the XAJ model and the RF model. Compared to the RF and XAJ-RF models, the performance statistics of WRF and XAJ-WRF were better. The results indicated that the coupled XAJ-RF model can be effectively applied and provide a useful alternative for daily streamflow modeling and the application of wavelet analysis contributed to the increasing accuracy of streamflow modeling. Moreover, 14 wavelet functions from various families were tested to analyze the impact of various mother wavelets on the XAJ-WRF model. HIGHLIGHTS This study proposed several hybrid models based on the Xinanjiang (XAJ) model, wavelet analysis and the random forests (RF) method (XAJ-RF, WRF and XAJ-WRF model).; The results indicated that the XAJ-RF model can provide a useful alternative and the application of wavelet analysis contributed to the increasing accuracy in streamflow modeling.;Jian WangWeimin BaoQianyu GaoWei SiYiqun SunIWA Publishingarticledaily streamflow simulationhybrid approachrandom forests modelwavelet analysisxinanjiang modelInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 3, Pp 589-604 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	daily streamflow simulation hybrid approach random forests model wavelet analysis xinanjiang model Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
spellingShingle	daily streamflow simulation hybrid approach random forests model wavelet analysis xinanjiang model Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Jian Wang Weimin Bao Qianyu Gao Wei Si Yiqun Sun Coupling the Xinanjiang model and wavelet-based random forests method for improved daily streamflow simulation
description	Daily streamflow modeling is an important tool for water resources management and flood mitigation. This study compared the performance of the Xinanjiang (XAJ) model and random forests (RF) method in a daily streamflow simulation, and proposed several hybrid models based on the XAJ model, wavelet analysis, and RF method (including XAJ-RF model, WRF model, and XAJ-WRF model). The proposed methods were applied to Shiquan station, located in the Upper Han River basin in China. Five performance measures (NSE, RMSE, PBIAS, MAE, and R) were adopted to evaluate the modeling accuracy. Results showed that XAJ-RF model had a relatively higher level of accuracy than that of the XAJ model and the RF model. Compared to the RF and XAJ-RF models, the performance statistics of WRF and XAJ-WRF were better. The results indicated that the coupled XAJ-RF model can be effectively applied and provide a useful alternative for daily streamflow modeling and the application of wavelet analysis contributed to the increasing accuracy of streamflow modeling. Moreover, 14 wavelet functions from various families were tested to analyze the impact of various mother wavelets on the XAJ-WRF model. HIGHLIGHTS This study proposed several hybrid models based on the Xinanjiang (XAJ) model, wavelet analysis and the random forests (RF) method (XAJ-RF, WRF and XAJ-WRF model).; The results indicated that the XAJ-RF model can provide a useful alternative and the application of wavelet analysis contributed to the increasing accuracy in streamflow modeling.;
format	article
author	Jian Wang Weimin Bao Qianyu Gao Wei Si Yiqun Sun
author_facet	Jian Wang Weimin Bao Qianyu Gao Wei Si Yiqun Sun
author_sort	Jian Wang
title	Coupling the Xinanjiang model and wavelet-based random forests method for improved daily streamflow simulation
title_short	Coupling the Xinanjiang model and wavelet-based random forests method for improved daily streamflow simulation
title_full	Coupling the Xinanjiang model and wavelet-based random forests method for improved daily streamflow simulation
title_fullStr	Coupling the Xinanjiang model and wavelet-based random forests method for improved daily streamflow simulation
title_full_unstemmed	Coupling the Xinanjiang model and wavelet-based random forests method for improved daily streamflow simulation
title_sort	coupling the xinanjiang model and wavelet-based random forests method for improved daily streamflow simulation
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/9a81ea48516b4784bf29e2d31846c700
work_keys_str_mv	AT jianwang couplingthexinanjiangmodelandwaveletbasedrandomforestsmethodforimproveddailystreamflowsimulation AT weiminbao couplingthexinanjiangmodelandwaveletbasedrandomforestsmethodforimproveddailystreamflowsimulation AT qianyugao couplingthexinanjiangmodelandwaveletbasedrandomforestsmethodforimproveddailystreamflowsimulation AT weisi couplingthexinanjiangmodelandwaveletbasedrandomforestsmethodforimproveddailystreamflowsimulation AT yiqunsun couplingthexinanjiangmodelandwaveletbasedrandomforestsmethodforimproveddailystreamflowsimulation
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Coupling the Xinanjiang model and wavelet-based random forests method for improved daily streamflow simulation

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