Articles | Volume 23, issue 3
https://doi.org/10.5194/hess-23-1505-2019
© Author(s) 2019. 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-23-1505-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Mar 2019
Research article |
| 15 Mar 2019
| 15 Mar 2019
Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model
School of Geographical Sciences of Southwest University, Chongqing
Key Laboratory of Karst Environment, Chongqing 400715, China
Daoxian Yuan
School of Geographical Sciences of Southwest University, Chongqing
Key Laboratory of Karst Environment, Chongqing 400715, China
Karst Dynamic Laboratory, Ministry of Land and Resources, Guilin
541004, China
Jiao Liu
Chongqing Hydrology and Water Resources Bureau,
Chongqing 401120, China
Yongjun Jiang
School of Geographical Sciences of Southwest University, Chongqing
Key Laboratory of Karst Environment, Chongqing 400715, China
Yangbo Chen
Department of Water Resources and
Environment, Sun Yat-Sen University, Guangzhou 510275, China
Kuo Lin Hsu
Center for Hydrometeorology and Remote Sensing, Department of Civil
and Environmental Engineering, University of California, Irvine,
Irvine, California
Soroosh Sorooshian
Center for Hydrometeorology and Remote Sensing, Department of Civil
and Environmental Engineering, University of California, Irvine,
Irvine, California
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Cited
21 citations as recorded by crossref.
- A systematic review of Muskingum flood routing techniques A. Salvati et al. 10.1080/02626667.2024.2324132
- Simulation of rainfall–runoff processes in karst catchment considering the impact of karst depression based on the tank model X. Meng et al. 10.1007/s12517-021-06515-7
- Baipenzhu Reservoir Inflow Flood Forecasting Based on a Distributed Hydrological Model S. Xu et al. 10.3390/w13030272
- Temporal Hierarchical Reconciliation for Consistent Water Resources Forecasting Across Multiple Timescales: An Application to Precipitation Forecasting M. Jahangir & J. Quilty 10.1029/2021WR031862
- Evaluating the Feasibility of the Liuxihe Model for Forecasting Inflow Flood to the Fengshuba Reservoir Y. Zhao et al. 10.3390/w15061048
- Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review M. Ali et al. 10.3390/rs15061642
- 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
- 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
- Elaborate simulations and forecasting of the effects of urbanization on karst flood events using the improved Karst-Liuxihe model J. Li et al. 10.1016/j.catena.2020.104990
- Evaluation of precipitation products for small karst catchment hydrological modeling in data-scarce mountainous regions I. Al Khoury et al. 10.1016/j.jhydrol.2024.132131
- A physically based distributed karst hydrological model (QMG model-V1.0) for flood simulations J. Li et al. 10.5194/gmd-15-6581-2022
- Simulation of Karst Floods with a Hydrological Model Improved by Meteorological Model Coupling J. Li et al. 10.1175/JHM-D-21-0088.1
- Sub-daily precipitation-streamflow modelling of the karst-dominated basin using an improved grid-based distributed Xinanjiang hydrological model W. Yang et al. 10.1016/j.ejrh.2022.101125
- Elaborate simulations of floods in a karst trough valley basin with the simplified Karst-Liuxihe model J. Li et al. 10.1016/j.jhydrol.2022.128504
- Flood modeling of Sungai Pinang Watershed under the impact of urbanization S. Osman et al. 10.1016/j.tcrr.2021.06.001
- 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
- Assessment of PERSIANN Satellite Products over the Tulijá River Basin, Mexico L. Ceferino-Hernández et al. 10.3390/rs16142596
- Enhancing runoff forecasting through the integration of satellite precipitation data and hydrological knowledge into machine learning models P. Muñoz et al. 10.1007/s11069-024-06939-w
- A Study of the Effect of DEM Spatial Resolution on Flood Simulation in Distributed Hydrological Modeling H. Zhu & Y. Chen 10.3390/rs16163105
- Accurate simulation of extreme rainfall–flood events via an improved distributed hydrological model J. Li et al. 10.1016/j.jhydrol.2024.132190
- Short-term flood probability density forecasting using a conceptual hydrological model with machine learning techniques Y. Zhou et al. 10.1016/j.jhydrol.2021.127255
21 citations as recorded by crossref.
- A systematic review of Muskingum flood routing techniques A. Salvati et al. 10.1080/02626667.2024.2324132
- Simulation of rainfall–runoff processes in karst catchment considering the impact of karst depression based on the tank model X. Meng et al. 10.1007/s12517-021-06515-7
- Baipenzhu Reservoir Inflow Flood Forecasting Based on a Distributed Hydrological Model S. Xu et al. 10.3390/w13030272
- Temporal Hierarchical Reconciliation for Consistent Water Resources Forecasting Across Multiple Timescales: An Application to Precipitation Forecasting M. Jahangir & J. Quilty 10.1029/2021WR031862
- Evaluating the Feasibility of the Liuxihe Model for Forecasting Inflow Flood to the Fengshuba Reservoir Y. Zhao et al. 10.3390/w15061048
- Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review M. Ali et al. 10.3390/rs15061642
- 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
- 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
- Elaborate simulations and forecasting of the effects of urbanization on karst flood events using the improved Karst-Liuxihe model J. Li et al. 10.1016/j.catena.2020.104990
- Evaluation of precipitation products for small karst catchment hydrological modeling in data-scarce mountainous regions I. Al Khoury et al. 10.1016/j.jhydrol.2024.132131
- A physically based distributed karst hydrological model (QMG model-V1.0) for flood simulations J. Li et al. 10.5194/gmd-15-6581-2022
- Simulation of Karst Floods with a Hydrological Model Improved by Meteorological Model Coupling J. Li et al. 10.1175/JHM-D-21-0088.1
- Sub-daily precipitation-streamflow modelling of the karst-dominated basin using an improved grid-based distributed Xinanjiang hydrological model W. Yang et al. 10.1016/j.ejrh.2022.101125
- Elaborate simulations of floods in a karst trough valley basin with the simplified Karst-Liuxihe model J. Li et al. 10.1016/j.jhydrol.2022.128504
- Flood modeling of Sungai Pinang Watershed under the impact of urbanization S. Osman et al. 10.1016/j.tcrr.2021.06.001
- 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
- Assessment of PERSIANN Satellite Products over the Tulijá River Basin, Mexico L. Ceferino-Hernández et al. 10.3390/rs16142596
- Enhancing runoff forecasting through the integration of satellite precipitation data and hydrological knowledge into machine learning models P. Muñoz et al. 10.1007/s11069-024-06939-w
- A Study of the Effect of DEM Spatial Resolution on Flood Simulation in Distributed Hydrological Modeling H. Zhu & Y. Chen 10.3390/rs16163105
- Accurate simulation of extreme rainfall–flood events via an improved distributed hydrological model J. Li et al. 10.1016/j.jhydrol.2024.132190
- Short-term flood probability density forecasting using a conceptual hydrological model with machine learning techniques Y. Zhou et al. 10.1016/j.jhydrol.2021.127255
Discussed (final revised paper)
Latest update: 22 Nov 2024
Short summary
There are no long-term reasonable rainfall data to build a hydrological model in karst river basins to a large extent. In this paper, the PERSIANN-CCS QPEs are employed to estimate the precipitation data as an attempt in the Liujiang karst river basin, 58 270 km2, China. An improved method is proposed to revise the results of the PERSIANN-CCS QPEs. The post-processed PERSIANN-CCS QPE with a distributed hydrological model, the Liuxihe model, has a better performance in karst flood forecasting.
There are no long-term reasonable rainfall data to build a hydrological model in karst river...
