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Discussion papers
https://doi.org/10.5194/nhess-2018-402
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2018-402
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 08 Feb 2019

Research article | 08 Feb 2019

Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Natural Hazards and Earth System Sciences (NHESS).

Multicriterion assessment framework of flood events simulated with the vertically mixed runoff model in semiarid catchments in the middle Yellow River

Dayang Li, Zhongmin Liang, Yan Zhou, Binquan Li, and Yupeng Fu Dayang Li et al.
  • College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China

Abstract. Flood forecasting and simulation in semiarid regions are always poor, and a single criterion assessment provides limited information for decision making. Here, we propose a multicriterion assessment framework combining the absolute relative error, the flow partitioning and the confidence interval estimated by the Hydrologic Uncertainty Processor (HUP) to assess the most striking feature of an event-based flood–the peak flow. The physically based model MIKE SHE and three conceptual models (two models with a single runoff generation mechanism, the Xi’anjiang model (XAJ) and the Shanbei model (SBM), and one model with the mixed runoff generation mechanism, the vertically mixed runoff model (VMM)) are compared in terms of flood modeling performance in four semiarid catchments (Qiushui River, Qingjian River, Tuwei River and Kuye River) in the middle Yellow River. Our results show that VMM has a better flood estimation performance than the other models, and under the multicriterion assessment framework, the average acceptance of flood events accounts for 58 %, but when absolute relative error 20 % is used as the performance criterion, its figure is only 41 % in four semiarid catchments.

Dayang Li et al.
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Dayang Li et al.
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Hydrologic model: the vertically mixed runoff model (vmm) D. Li https://doi.org/10.4211/hs.c5232287d5c04bfb8cac5ce4e391ea0f

Dayang Li et al.
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Short summary
Flood forecasting and simulation in semiarid regions are always poor, and a single criterion assessment provides limited information for decision making. Here, we propose a multicriterion assessment framework combining the absolute relative error, the flow partitioning and the confidence interval to assess the most striking feature of an event-based flood––the peak flow. Our results show that the accepted rates of flood events improve a lot under the multicriterion assessment framework.
Flood forecasting and simulation in semiarid regions are always poor, and a single criterion...
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