Articles | Volume 26, issue 20
https://doi.org/10.5194/hess-26-5269-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-5269-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Oct 2022
Research article |
| 20 Oct 2022
| 20 Oct 2022
A time-varying distributed unit hydrograph method considering soil moisture
Bin Yi
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Hubei Key Laboratory of Digital Valley Science and Technology, Wuhan 430074, China
Lu Chen
CORRESPONDING AUTHOR
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Hubei Key Laboratory of Digital Valley Science and Technology, Wuhan 430074, China
Hansong Zhang
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Power China Huadong Engineering Corporation Limited, Hangzhou 310014, China
Vijay P. Singh
Department of Biological & Agricultural Engineering, and Zachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, Texas 77843-2117, USA
National Water and Energy Center, UAE University, Al Ain, UAE
Ping Jiang
Meizhou Hydrological Bureau, Guangdong Province, Meizhou 514000, China
Yizhuo Liu
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Hubei Key Laboratory of Digital Valley Science and Technology, Wuhan 430074, China
Hexiang Guo
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Hubei Key Laboratory of Digital Valley Science and Technology, Wuhan 430074, China
Hongya Qiu
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
China Three Gorges Corporation, Yichang 443133, China
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Cited
12 citations as recorded by crossref.
- The directional unit hydrograph model: Connecting streamflow response to storm dynamics G. Perez et al. 10.1016/j.jhydrol.2023.130422
- Development of A Distributed Modeling Framework Considering Spatiotemporally Varying Hydrological Processes for Sub-Daily Flood Forecasting in Semi-Humid and Semi-Arid Watersheds X. Li et al. 10.1007/s11269-024-03837-5
- Runoff simulation modeling method integrating spatial element dynamics and neural network for remote sensing precipitation data C. Yu et al. 10.1016/j.jhydrol.2024.131875
- A Method for Monthly Extreme Precipitation Forecasting with Physical Explanations B. Yang et al. 10.3390/w15081545
- Evaluating the impact of improved filter-wrapper input variable selection on long-term runoff forecasting using local and global climate information B. Yang et al. 10.1016/j.jhydrol.2024.132034
- Hydrological modelling with an improved flexible hybrid runoff generation strategy B. Yi et al. 10.1016/j.jhydrol.2023.129457
- Influences of the Runoff Partition Method on the Flexible Hybrid Runoff Generation Model for Flood Prediction B. Yi et al. 10.3390/w15152738
- Application of the Improved K-Nearest Neighbor-Based Multi-Model Ensemble Method for Runoff Prediction T. Xie et al. 10.3390/w16010069
- Enhanced rainfall nowcasting of tropical cyclone by an interpretable deep learning model and its application in real-time flood forecasting L. Liu et al. 10.1016/j.jhydrol.2024.131993
- Influence of human-induced land use change on hydrological processes in semi-humid and semi-arid region: A case in the Fenhe River Basin X. Lyu et al. 10.1016/j.ejrh.2023.101605
- A time-space varying distributed unit hydrograph (TS-DUH) for operational flash flood forecasting using publicly-available datasets Y. Hu et al. 10.1016/j.jhydrol.2024.131785
- A downward-counterfactual analysis of flash floods in Germany P. Voit & M. Heistermann 10.5194/nhess-24-2147-2024
12 citations as recorded by crossref.
- The directional unit hydrograph model: Connecting streamflow response to storm dynamics G. Perez et al. 10.1016/j.jhydrol.2023.130422
- Development of A Distributed Modeling Framework Considering Spatiotemporally Varying Hydrological Processes for Sub-Daily Flood Forecasting in Semi-Humid and Semi-Arid Watersheds X. Li et al. 10.1007/s11269-024-03837-5
- Runoff simulation modeling method integrating spatial element dynamics and neural network for remote sensing precipitation data C. Yu et al. 10.1016/j.jhydrol.2024.131875
- A Method for Monthly Extreme Precipitation Forecasting with Physical Explanations B. Yang et al. 10.3390/w15081545
- Evaluating the impact of improved filter-wrapper input variable selection on long-term runoff forecasting using local and global climate information B. Yang et al. 10.1016/j.jhydrol.2024.132034
- Hydrological modelling with an improved flexible hybrid runoff generation strategy B. Yi et al. 10.1016/j.jhydrol.2023.129457
- Influences of the Runoff Partition Method on the Flexible Hybrid Runoff Generation Model for Flood Prediction B. Yi et al. 10.3390/w15152738
- Application of the Improved K-Nearest Neighbor-Based Multi-Model Ensemble Method for Runoff Prediction T. Xie et al. 10.3390/w16010069
- Enhanced rainfall nowcasting of tropical cyclone by an interpretable deep learning model and its application in real-time flood forecasting L. Liu et al. 10.1016/j.jhydrol.2024.131993
- Influence of human-induced land use change on hydrological processes in semi-humid and semi-arid region: A case in the Fenhe River Basin X. Lyu et al. 10.1016/j.ejrh.2023.101605
- A time-space varying distributed unit hydrograph (TS-DUH) for operational flash flood forecasting using publicly-available datasets Y. Hu et al. 10.1016/j.jhydrol.2024.131785
- A downward-counterfactual analysis of flash floods in Germany P. Voit & M. Heistermann 10.5194/nhess-24-2147-2024
Latest update: 22 Nov 2024
Short summary
An improved GIS-derived distributed unit hydrograph routing method considering time-varying soil moisture was proposed for flow routing. The method considered the changes of time-varying soil moisture and rainfall intensity. The response of underlying surface to the soil moisture content was considered an important factor in this study. The SUH, DUH, TDUH and proposed routing methods (TDUH-MC) were used for flood forecasts, and the simulated results were compared and discussed.
An improved GIS-derived distributed unit hydrograph routing method considering time-varying soil...
