Comparative analysis of different hydrological models in flood forecasting for the upper Juma River basin
Accurate flood forecasting is of critical importance for flood control and disaster mitigation. This study focuses on the upper basin of the Juma River and employs the China Flash Flood Hydrological Model (CNFF) to calibrate model parameters using three specific runoff generation models implemented...
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Water |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frwa.2025.1617212/full |
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| author | Ting Li Shilong Hao Fuxin Chai Kuang Li Haoqiang Tong |
| author_facet | Ting Li Shilong Hao Fuxin Chai Kuang Li Haoqiang Tong |
| author_sort | Ting Li |
| collection | DOAJ |
| description | Accurate flood forecasting is of critical importance for flood control and disaster mitigation. This study focuses on the upper basin of the Juma River and employs the China Flash Flood Hydrological Model (CNFF) to calibrate model parameters using three specific runoff generation models implemented within the CNFF platform: the Xin’anjiang three-source saturation-excess runoff model, the vertical mixed runoff model, and the Dahuofang model. These models, respectively, represent three distinct physical runoff mechanisms—saturation-excess, vertical mixing, and infiltration-excess. The primary scientific objective is to systematically compare the flood forecasting accuracy of these models and to identify the most suitable one for flood forecasting in this basin. The results indicate that the overall forecasting accuracy of the Xin’anjiang model is superior to that of the vertical mixed runoff model and the Dahuofang model. The absolute value of the relative error in peak discharge and the relative error in mean runoff depth simulated by the Xin’anjiang model are 6.8 and 10.7%, respectively. The absolute value of the mean peak arrival time error is 0.47 h, and the average Nash-Sutcliffe efficiency coefficient is 0.69. The Xin’anjiang model demonstrated superior performance, achieving an average Nash-Sutcliffe Efficiency (NSE) approximately 0.21 higher than the other models across the evaluated events. When flood discharge is high and exhibits a single-peak pattern, the simulation performance of all runoff models improves. Overall, the Xin’anjiang model achieves a Class B accuracy level in flood simulation for the upper Juma River basin. These findings provide a reference for hydrological simulation, flood forecasting, and early warning in the upper Juma River basin. |
| format | Article |
| id | doaj-art-b74e86038e3341de8e5d0fbd3b3d32a9 |
| institution | Matheson Library |
| issn | 2624-9375 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Water |
| spelling | doaj-art-b74e86038e3341de8e5d0fbd3b3d32a92025-07-23T05:35:15ZengFrontiers Media S.A.Frontiers in Water2624-93752025-07-01710.3389/frwa.2025.16172121617212Comparative analysis of different hydrological models in flood forecasting for the upper Juma River basinTing Li0Shilong Hao1Fuxin Chai2Kuang Li3Haoqiang Tong4School of Geomatics and Geographic Information, North China University of Water Resources and Electric Power, Zhengzhou, ChinaSchool of Geomatics and Geographic Information, North China University of Water Resources and Electric Power, Zhengzhou, ChinaChina Institute of Water Resources and Hydropower Research, Beijing, ChinaChina Institute of Water Resources and Hydropower Research, Beijing, ChinaSchool of Geomatics and Geographic Information, North China University of Water Resources and Electric Power, Zhengzhou, ChinaAccurate flood forecasting is of critical importance for flood control and disaster mitigation. This study focuses on the upper basin of the Juma River and employs the China Flash Flood Hydrological Model (CNFF) to calibrate model parameters using three specific runoff generation models implemented within the CNFF platform: the Xin’anjiang three-source saturation-excess runoff model, the vertical mixed runoff model, and the Dahuofang model. These models, respectively, represent three distinct physical runoff mechanisms—saturation-excess, vertical mixing, and infiltration-excess. The primary scientific objective is to systematically compare the flood forecasting accuracy of these models and to identify the most suitable one for flood forecasting in this basin. The results indicate that the overall forecasting accuracy of the Xin’anjiang model is superior to that of the vertical mixed runoff model and the Dahuofang model. The absolute value of the relative error in peak discharge and the relative error in mean runoff depth simulated by the Xin’anjiang model are 6.8 and 10.7%, respectively. The absolute value of the mean peak arrival time error is 0.47 h, and the average Nash-Sutcliffe efficiency coefficient is 0.69. The Xin’anjiang model demonstrated superior performance, achieving an average Nash-Sutcliffe Efficiency (NSE) approximately 0.21 higher than the other models across the evaluated events. When flood discharge is high and exhibits a single-peak pattern, the simulation performance of all runoff models improves. Overall, the Xin’anjiang model achieves a Class B accuracy level in flood simulation for the upper Juma River basin. These findings provide a reference for hydrological simulation, flood forecasting, and early warning in the upper Juma River basin.https://www.frontiersin.org/articles/10.3389/frwa.2025.1617212/fullChina flash flood hydrological modelXin’anjiang modelvertical mixed runoff modelJuma Riverflood forecasting |
| spellingShingle | Ting Li Shilong Hao Fuxin Chai Kuang Li Haoqiang Tong Comparative analysis of different hydrological models in flood forecasting for the upper Juma River basin Frontiers in Water China flash flood hydrological model Xin’anjiang model vertical mixed runoff model Juma River flood forecasting |
| title | Comparative analysis of different hydrological models in flood forecasting for the upper Juma River basin |
| title_full | Comparative analysis of different hydrological models in flood forecasting for the upper Juma River basin |
| title_fullStr | Comparative analysis of different hydrological models in flood forecasting for the upper Juma River basin |
| title_full_unstemmed | Comparative analysis of different hydrological models in flood forecasting for the upper Juma River basin |
| title_short | Comparative analysis of different hydrological models in flood forecasting for the upper Juma River basin |
| title_sort | comparative analysis of different hydrological models in flood forecasting for the upper juma river basin |
| topic | China flash flood hydrological model Xin’anjiang model vertical mixed runoff model Juma River flood forecasting |
| url | https://www.frontiersin.org/articles/10.3389/frwa.2025.1617212/full |
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