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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/nhess-2019-355
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2019-355
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  20 Dec 2019

20 Dec 2019

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A revised version of this preprint was accepted for the journal NHESS and is expected to appear here in due course.

A Dynamic Bidirectional Coupled Hydrologic-Hydrodynamic Model for Flood Prediction

Chunbo Jiang1, Qi Zhou1, Wangyang Yu1,2, Chen Yang3, and Binliang Lin1 Chunbo Jiang et al.
  • 1State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China
  • 2China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
  • 3School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China

Abstract. As one of the main natural disasters, flood disaster poses a great threat to township development and property security. Numerous hydrological models and hydrodynamic models have been developed and implemented for flood simulation, risk prediction and inundation assessment. In this study, a dynamic and bidirectional coupled hydrodynamic-hydrologic-hydrodynamic model (DBCM) is developed to predict and evaluate inundation impact in a catchment in mountain area. Based on characteristic theory, the proposed method is able to dynamically adapt and alternate the simulation domain of hydrologic model, and/or hydrodynamic model according to the local flow condition, and a key feature of the proposed model is the dynamic coupling splitting the hydrologic and hydrodynamic simulation domains. The proposed model shows good prediction accuracy and overcomes the shortage existing in previous unidirectional coupling model (UCM). Existing numerical examples and physical experiments were both used to validate the performance of DBCM. Compared to UCM, results from DBCM show good agreements with analytical and measured data which indicates that the proposed model effectively reproduces flood propagation process and accounts for surface flow interaction between non-inundation region and inundation region. Finally, DBCM is applied to predict the flood in the Longxi river basin, and the simulation results show the capability of DBCM in conducting flood event simulation in interested catchment which can support flood risk early warning and future management.

Chunbo Jiang et al.

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Chunbo Jiang et al.

Chunbo Jiang et al.

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Short summary
We proposed a new dynamic coupling model for flood simulation and prediction. The model assesses both hydrologic and hydraulic process based on characteristic theory. It was validated by several classic numerical test cases as well as experiments data, and it was implemented to a real study case. The results show that the model proposed is capable and accurate for flood simulation and further risk assessment.
We proposed a new dynamic coupling model for flood simulation and prediction. The model assesses...
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