Development and Integration of Sub-Daily Flood Modelling Capability within the SWAT Model and a Comparison with XAJ Model

To date, floods have become one of the most severe natural disasters on Earth. Flood forecasting with hydrological models is an important non-engineering measure for flood control and disaster reduction. The Xin’anjiang (XAJ) model is the most widely used hydrological model in China for fl...

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Main Authors: Dachen Li, Simin Qu, Peng Shi, Xueqiu Chen, Feng Xue, Jianfeng Gou, Wenhao Zhang
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Water
Subjects:
Online Access:http://www.mdpi.com/2073-4441/10/9/1263
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spelling doaj-8b6e282b14c3420fb610e951018e58f72020-11-24T21:46:37ZengMDPI AGWater2073-44412018-09-01109126310.3390/w10091263w10091263Development and Integration of Sub-Daily Flood Modelling Capability within the SWAT Model and a Comparison with XAJ ModelDachen Li0Simin Qu1Peng Shi2Xueqiu Chen3Feng Xue4Jianfeng Gou5Wenhao Zhang6College of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaTo date, floods have become one of the most severe natural disasters on Earth. Flood forecasting with hydrological models is an important non-engineering measure for flood control and disaster reduction. The Xin’anjiang (XAJ) model is the most widely used hydrological model in China for flood forecasting, while the Soil and Water Assessment Tool (SWAT) model is widely applied for daily and monthly simulation and has shown its potential for flood simulation. The objective of this paper is to evaluate the performance of the SWAT model in simulating floods at a sub-daily time-scale in a slightly larger basin and compare that with the XAJ model. Taking Qilijie Basin (southeast of China) as a study area, this paper developed the XAJ model and SWAT model at a sub-daily time-scale. The results showed that the XAJ model had a better performance than the sub-daily SWAT model regarding relative runoff error (RRE) but the SWAT model performed well according to relative peak discharge error (RPE) and error of occurrence time of peak flow (PTE). The SWAT model performed unsatisfactorily in simulating low flows due to the daily calculation of base flow but behaved quite well in simulating high flows. We also evaluated the effect of spatial scale on the SWAT model. The results showed that the SWAT model had a good applicability at different spatial scales. In conclusion, the sub-daily SWAT model is a promising tool for flood simulation though more improvements remain to be studied further.http://www.mdpi.com/2073-4441/10/9/1263sub-daily SWAT modelflood simulationXAJ modelQilijie basin
collection DOAJ
language English
format Article
sources DOAJ
author Dachen Li
Simin Qu
Peng Shi
Xueqiu Chen
Feng Xue
Jianfeng Gou
Wenhao Zhang
spellingShingle Dachen Li
Simin Qu
Peng Shi
Xueqiu Chen
Feng Xue
Jianfeng Gou
Wenhao Zhang
Development and Integration of Sub-Daily Flood Modelling Capability within the SWAT Model and a Comparison with XAJ Model
Water
sub-daily SWAT model
flood simulation
XAJ model
Qilijie basin
author_facet Dachen Li
Simin Qu
Peng Shi
Xueqiu Chen
Feng Xue
Jianfeng Gou
Wenhao Zhang
author_sort Dachen Li
title Development and Integration of Sub-Daily Flood Modelling Capability within the SWAT Model and a Comparison with XAJ Model
title_short Development and Integration of Sub-Daily Flood Modelling Capability within the SWAT Model and a Comparison with XAJ Model
title_full Development and Integration of Sub-Daily Flood Modelling Capability within the SWAT Model and a Comparison with XAJ Model
title_fullStr Development and Integration of Sub-Daily Flood Modelling Capability within the SWAT Model and a Comparison with XAJ Model
title_full_unstemmed Development and Integration of Sub-Daily Flood Modelling Capability within the SWAT Model and a Comparison with XAJ Model
title_sort development and integration of sub-daily flood modelling capability within the swat model and a comparison with xaj model
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2018-09-01
description To date, floods have become one of the most severe natural disasters on Earth. Flood forecasting with hydrological models is an important non-engineering measure for flood control and disaster reduction. The Xin’anjiang (XAJ) model is the most widely used hydrological model in China for flood forecasting, while the Soil and Water Assessment Tool (SWAT) model is widely applied for daily and monthly simulation and has shown its potential for flood simulation. The objective of this paper is to evaluate the performance of the SWAT model in simulating floods at a sub-daily time-scale in a slightly larger basin and compare that with the XAJ model. Taking Qilijie Basin (southeast of China) as a study area, this paper developed the XAJ model and SWAT model at a sub-daily time-scale. The results showed that the XAJ model had a better performance than the sub-daily SWAT model regarding relative runoff error (RRE) but the SWAT model performed well according to relative peak discharge error (RPE) and error of occurrence time of peak flow (PTE). The SWAT model performed unsatisfactorily in simulating low flows due to the daily calculation of base flow but behaved quite well in simulating high flows. We also evaluated the effect of spatial scale on the SWAT model. The results showed that the SWAT model had a good applicability at different spatial scales. In conclusion, the sub-daily SWAT model is a promising tool for flood simulation though more improvements remain to be studied further.
topic sub-daily SWAT model
flood simulation
XAJ model
Qilijie basin
url http://www.mdpi.com/2073-4441/10/9/1263
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