Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-735-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-21-735-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Large-watershed flood forecasting with high-resolution distributed hydrological model
Department of Water Resources and Environment, Sun Yat-sen University, Guangzhou 510275, China
Department of Water Resources and Environment, Sun Yat-sen University, Guangzhou 510275, China
Huanyu Wang
Department of Water Resources and Environment, Sun Yat-sen University, Guangzhou 510275, China
Jianming Qin
Department of Water Resources and Environment, Sun Yat-sen University, Guangzhou 510275, China
Liming Dong
Department of Water Resources and Environment, Sun Yat-sen University, Guangzhou 510275, China
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35 citations as recorded by crossref.
- A Study on a Simple Algorithm for Parallel Computation of a Grid-Based One-Dimensional Distributed Rainfall-Runoff Model Y. Choi et al. 10.1007/s12205-020-2458-z
- Evaluating the Feasibility of the Liuxihe Model for Forecasting Inflow Flood to the Fengshuba Reservoir Y. Zhao et al. 10.3390/w15061048
- Simulation of Karst Floods with a Hydrological Model Improved by Meteorological Model Coupling J. Li et al. 10.1175/JHM-D-21-0088.1
- Comparing the performances of WRF QPF and PERSIANN-CCS QPEs in karst flood simulation and forecasting by coupling the Karst-Liuxihe model J. Li et al. 10.1007/s11707-021-0909-6
- Flash flood modeling in the data-poor basin: A case study in Matina River Basin R. Macalalad et al. 10.1016/j.tcrr.2021.06.003
- Improved Streamflow Forecast in a Small-Medium Sized River Basin with Coupled WRF and WRF-Hydro: Effects of Radar Data Assimilation T. Gu et al. 10.3390/rs13163251
- Downscaling climate projections over large and data sparse regions: Methodological application in the Zambezi River Basin N. Peleg et al. 10.1002/joc.6578
- A Study of the Effect of DEM Spatial Resolution on Flood Simulation in Distributed Hydrological Modeling H. Zhu & Y. Chen 10.3390/rs16163105
- Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model J. Li et al. 10.5194/hess-23-1505-2019
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- Forecasting of pre-monsoon flash flood events in the northeastern Bangladesh using coupled hydrometeorological NWP modelling system S. Shuvo et al. 10.1007/s00703-021-00831-z
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- Baipenzhu Reservoir Inflow Flood Forecasting Based on a Distributed Hydrological Model S. Xu et al. 10.3390/w13030272
- Identifying Potential Areas for New Railway Lines across Different Relief Roughness of Austrian Landscapes F. Perauer et al. 10.1007/s12061-024-09597-4
- Evaluating the Uncertainties in the SWAT Model Outputs due to DEM Grid Size and Resampling Techniques in a Large Himalayan River Basin B. Kumar et al. 10.1061/(ASCE)HE.1943-5584.0001569
- Assessment of Flood Inundation by Coupled 1D/2D Hydrodynamic Modeling: A Case Study in Mountainous Watersheds along the Coast of Southeast China W. Zhang et al. 10.3390/w12030822
- Application of weather Radar for operational hydrology in Canada – a review D. Wijayarathne & P. Coulibaly 10.1080/07011784.2020.1854119
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- Exploring geometrical patterns in streamflow time series: utility for forecasting? R. Teegavarapu 10.2166/nh.2018.127
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- Evaluating the effects of water exchange between surface rivers and karst aquifers on surface flood simulations at different watershed scales J. Li et al. 10.1016/j.jhydrol.2023.129851
- Computationally efficient Watershed-Scale hydrological Modeling: Integrating HYDRUS-1D and KINEROS2 for coupled Surface-Subsurface analysis M. Meles et al. 10.1016/j.jhydrol.2024.131621
- Analysis of two sources of variability of basin outflow hydrographs computed with the 2D shallow water model Iber: Digital Terrain Model and unstructured mesh size G. García-Alén et al. 10.1016/j.jhydrol.2022.128182
- Application of Risk Analysis in the Screening of Flood Disaster Hot Spots and Adaptation Strategies E. Huang et al. 10.3390/land11010036
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- Assessment of Future Risks of Seasonal Municipal Water Shortages Across North America J. Janssen et al. 10.3389/feart.2021.730631
- Runoff Forecasting using Convolutional Neural Networks and optimized Bi-directional Long Short-term Memory J. Wu et al. 10.1007/s11269-022-03414-8
- Rational gaze: Presenting the open-source HYPEtools R package for analysis, visualization, and interpretation of hydrological models and datasets C. Brendel et al. 10.1016/j.envsoft.2024.106094
35 citations as recorded by crossref.
- A Study on a Simple Algorithm for Parallel Computation of a Grid-Based One-Dimensional Distributed Rainfall-Runoff Model Y. Choi et al. 10.1007/s12205-020-2458-z
- Evaluating the Feasibility of the Liuxihe Model for Forecasting Inflow Flood to the Fengshuba Reservoir Y. Zhao et al. 10.3390/w15061048
- Simulation of Karst Floods with a Hydrological Model Improved by Meteorological Model Coupling J. Li et al. 10.1175/JHM-D-21-0088.1
- Comparing the performances of WRF QPF and PERSIANN-CCS QPEs in karst flood simulation and forecasting by coupling the Karst-Liuxihe model J. Li et al. 10.1007/s11707-021-0909-6
- Flash flood modeling in the data-poor basin: A case study in Matina River Basin R. Macalalad et al. 10.1016/j.tcrr.2021.06.003
- Improved Streamflow Forecast in a Small-Medium Sized River Basin with Coupled WRF and WRF-Hydro: Effects of Radar Data Assimilation T. Gu et al. 10.3390/rs13163251
- Downscaling climate projections over large and data sparse regions: Methodological application in the Zambezi River Basin N. Peleg et al. 10.1002/joc.6578
- A Study of the Effect of DEM Spatial Resolution on Flood Simulation in Distributed Hydrological Modeling H. Zhu & Y. Chen 10.3390/rs16163105
- Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model J. Li et al. 10.5194/hess-23-1505-2019
- Extending flood forecasting lead time in a large watershed by coupling WRF QPF with a distributed hydrological model J. Li et al. 10.5194/hess-21-1279-2017
- Forecasting of pre-monsoon flash flood events in the northeastern Bangladesh using coupled hydrometeorological NWP modelling system S. Shuvo et al. 10.1007/s00703-021-00831-z
- Effect of data length, spin-up period and spatial model resolution on fully distributed hydrological model calibration in the Moselle basin Ö. Ekmekcioğlu et al. 10.1080/02626667.2022.2046754
- Baipenzhu Reservoir Inflow Flood Forecasting Based on a Distributed Hydrological Model S. Xu et al. 10.3390/w13030272
- Identifying Potential Areas for New Railway Lines across Different Relief Roughness of Austrian Landscapes F. Perauer et al. 10.1007/s12061-024-09597-4
- Evaluating the Uncertainties in the SWAT Model Outputs due to DEM Grid Size and Resampling Techniques in a Large Himalayan River Basin B. Kumar et al. 10.1061/(ASCE)HE.1943-5584.0001569
- Assessment of Flood Inundation by Coupled 1D/2D Hydrodynamic Modeling: A Case Study in Mountainous Watersheds along the Coast of Southeast China W. Zhang et al. 10.3390/w12030822
- Application of weather Radar for operational hydrology in Canada – a review D. Wijayarathne & P. Coulibaly 10.1080/07011784.2020.1854119
- A physically based distributed karst hydrological model (QMG model-V1.0) for flood simulations J. Li et al. 10.5194/gmd-15-6581-2022
- Flood modeling of Sungai Pinang Watershed under the impact of urbanization S. Osman et al. 10.1016/j.tcrr.2021.06.001
- Exploring geometrical patterns in streamflow time series: utility for forecasting? R. Teegavarapu 10.2166/nh.2018.127
- Impact of urbanization on flood of Shigu creek in Dongguan city L. Pan et al. 10.5194/piahs-379-55-2018
- Towards a large-scale locally relevant flood inundation modeling framework using SWAT and LISFLOOD-FP A. Rajib et al. 10.1016/j.jhydrol.2019.124406
- An Alternative Approach for Improving Prediction of Integrated Hydrologic‐Hydraulic Models by Assessing the Impact of Intrinsic Spatial Scales S. Saksena et al. 10.1029/2020WR027702
- A Computationally Efficient and Physically Based Approach for Urban Flood Modeling Using a Flexible Spatiotemporal Structure S. Saksena et al. 10.1029/2019WR025769
- Meteorological–hydrological coupling flood forecast and error propagation characteristics based on radar data assimilation in small- to medium sized River Basin: a case study of Zhanghe River Basin in China Y. Gao et al. 10.1007/s11069-024-06944-z
- An Assessment of the Influence of Uncertainty in Temporally Evolving Streamflow Forecasts on Riverine Inundation Modeling Y. Feng et al. 10.3390/w12030911
- Flood forecasting scheme of Nanshui reservoir based on Liuxihe model F. Zhou et al. 10.1016/j.tcrr.2021.06.002
- Evaluating the effects of water exchange between surface rivers and karst aquifers on surface flood simulations at different watershed scales J. Li et al. 10.1016/j.jhydrol.2023.129851
- Computationally efficient Watershed-Scale hydrological Modeling: Integrating HYDRUS-1D and KINEROS2 for coupled Surface-Subsurface analysis M. Meles et al. 10.1016/j.jhydrol.2024.131621
- Analysis of two sources of variability of basin outflow hydrographs computed with the 2D shallow water model Iber: Digital Terrain Model and unstructured mesh size G. García-Alén et al. 10.1016/j.jhydrol.2022.128182
- Application of Risk Analysis in the Screening of Flood Disaster Hot Spots and Adaptation Strategies E. Huang et al. 10.3390/land11010036
- Climatic Variabilities Control the Solute Dynamics of Monsoon Karstic River: Approaches from C-Q Relationship, Isotopes, and Model Analysis in the Liujiang River J. Liu et al. 10.3390/w12030862
- Assessment of Future Risks of Seasonal Municipal Water Shortages Across North America J. Janssen et al. 10.3389/feart.2021.730631
- Runoff Forecasting using Convolutional Neural Networks and optimized Bi-directional Long Short-term Memory J. Wu et al. 10.1007/s11269-022-03414-8
- Rational gaze: Presenting the open-source HYPEtools R package for analysis, visualization, and interpretation of hydrological models and datasets C. Brendel et al. 10.1016/j.envsoft.2024.106094
Latest update: 20 Nov 2024
Short summary
The distributed hydrological model has not yet been applied in large watershed flood forecasting due to some limitations. By proposing a method for estimating channel cross section size with remote sensing data, employing the PSO algorithm optimize model parameters and running the model on high-performance supercomputer with parallel computation technique, this article successfully applied the Liuxihe model in a larger watershed flood forecasting in southern China at high resolution.
The distributed hydrological model has not yet been applied in large watershed flood forecasting...
Special issue