Articles | Volume 19, issue 9
https://doi.org/10.5194/nhess-19-2027-2019
© 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/nhess-19-2027-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Multicriteria assessment framework of flood events simulated with vertically mixed runoff model in semiarid catchments in the middle Yellow River
Dayang Li
College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China
Zhongmin Liang
College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China
College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China
College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China
Yupeng Fu
College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China
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Cited
14 citations as recorded by crossref.
- Multi-model integrated error correction for streamflow simulation based on Bayesian model averaging and dynamic system response curve J. Wang et al. 10.1016/j.jhydrol.2022.127518
- Assessment of multi-source satellite products using hydrological modelling approach A. Mahanta et al. 10.1016/j.pce.2023.103507
- A watershed-scale rainfall infiltration model incorporating water and energy constraints B. Yan & J. Chang 10.1016/j.jhydrol.2025.133561
- Objectivity verification experiment of the dynamic system response curve method for streamflow simulation J. Wang et al. 10.1016/j.jhydrol.2022.128969
- Characterizing distributed hydrological model residual errors using a probabilistic long short-term memory network D. Li et al. 10.1016/j.jhydrol.2021.126888
- Flooding in the Yellow River Basin, China: Spatiotemporal patterns, drivers and future tendency Y. Sun et al. 10.1016/j.ejrh.2024.101706
- Study on Ensemble Calibration of Flood Forecasting Based on Response Curve of Rainfall Dynamic System and LSTM L. Tian et al. 10.1007/s11269-024-03955-0
- Hydrologic multi-model ensemble predictions using variational Bayesian deep learning D. Li et al. 10.1016/j.jhydrol.2021.127221
- Influences of the Runoff Partition Method on the Flexible Hybrid Runoff Generation Model for Flood Prediction B. Yi et al. 10.3390/w15152738
- Seamless Integration of Rainfall Spatial Variability and a Conceptual Hydrological Model Y. Zhou et al. 10.3390/su13063588
- Streamflow and Sediment Declines in a Loess Hill and Gully Landform Basin Due to Climate Variability and Anthropogenic Activities Q. Chang et al. 10.3390/w11112352
- Assessing the Performance of SHETRAN Simulating a Geologically Complex Catchment R. Vázquez et al. 10.3390/w14203334
- Integration of the generalized complementary relationship into a lumped hydrological model for improving water balance partitioning: A case study with the Xinanjiang model X. Lei et al. 10.1016/j.jhydrol.2023.129569
- Transferability of a lumped hydrologic model, the Xin'anjiang model based on similarity in climate and geography Y. Liu et al. 10.2166/ws.2021.055
14 citations as recorded by crossref.
- Multi-model integrated error correction for streamflow simulation based on Bayesian model averaging and dynamic system response curve J. Wang et al. 10.1016/j.jhydrol.2022.127518
- Assessment of multi-source satellite products using hydrological modelling approach A. Mahanta et al. 10.1016/j.pce.2023.103507
- A watershed-scale rainfall infiltration model incorporating water and energy constraints B. Yan & J. Chang 10.1016/j.jhydrol.2025.133561
- Objectivity verification experiment of the dynamic system response curve method for streamflow simulation J. Wang et al. 10.1016/j.jhydrol.2022.128969
- Characterizing distributed hydrological model residual errors using a probabilistic long short-term memory network D. Li et al. 10.1016/j.jhydrol.2021.126888
- Flooding in the Yellow River Basin, China: Spatiotemporal patterns, drivers and future tendency Y. Sun et al. 10.1016/j.ejrh.2024.101706
- Study on Ensemble Calibration of Flood Forecasting Based on Response Curve of Rainfall Dynamic System and LSTM L. Tian et al. 10.1007/s11269-024-03955-0
- Hydrologic multi-model ensemble predictions using variational Bayesian deep learning D. Li et al. 10.1016/j.jhydrol.2021.127221
- Influences of the Runoff Partition Method on the Flexible Hybrid Runoff Generation Model for Flood Prediction B. Yi et al. 10.3390/w15152738
- Seamless Integration of Rainfall Spatial Variability and a Conceptual Hydrological Model Y. Zhou et al. 10.3390/su13063588
- Streamflow and Sediment Declines in a Loess Hill and Gully Landform Basin Due to Climate Variability and Anthropogenic Activities Q. Chang et al. 10.3390/w11112352
- Assessing the Performance of SHETRAN Simulating a Geologically Complex Catchment R. Vázquez et al. 10.3390/w14203334
- Integration of the generalized complementary relationship into a lumped hydrological model for improving water balance partitioning: A case study with the Xinanjiang model X. Lei et al. 10.1016/j.jhydrol.2023.129569
- Transferability of a lumped hydrologic model, the Xin'anjiang model based on similarity in climate and geography Y. Liu et al. 10.2166/ws.2021.055
Latest update: 07 Jun 2025
Short summary
Flood forecasting in semiarid regions is always poor, and a single-criterion assessment provides limited information for decision making. Here, we propose a multicriteria assessment framework (FCRA) to assess the most striking feature of an event-based flood – the peak flow. One hundred flood events are modeled in the middle Yellow River with four hydrological models. Our results show that the FCRA may help decision makers improve their diagnostic abilities in the early flood warning process.
Flood forecasting in semiarid regions is always poor, and a single-criterion assessment provides...
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