Articles | Volume 19, issue 9
https://doi.org/10.5194/nhess-19-2027-2019
https://doi.org/10.5194/nhess-19-2027-2019
Research article
 | 
13 Sep 2019
Research article |  | 13 Sep 2019

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

Dayang Li, Zhongmin Liang, Yan Zhou, Binquan Li, and Yupeng Fu

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Cited articles

Andersen, F. H.: Hydrological modeling in a semi-arid area using remote sensing data, PhD thesis, University of Copenhagen, Copenhagen, Denmark, 2008. 
Bao, H., Wang L., Zhang, K., and Li, Z.: Application of a developed distributed hydrological model based on the mixed runoff generation model and 2D kinematic wave flow routing model for better flood forecasting, Atmos. Sci. Lett., 18, 284–293, https://doi.org/10.1002/asl.754, 2017. 
Bao, W.: Improvement and application of the Green-Ampt infiltration curve, Yellow River, 9, 1–3, 1993. 
Bao, W. and Zhao, L.: Application of Linearized Calibration Method for Vertically Mixed Runoff Model Parameters, J. Hydrol. Eng., 33, 85–91, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000984, 2014. 
Beven, K. J.: Surface water hydrology – runoff generation and basin structure, Rev. Geophys., 21, 721–730, https://doi.org/10.1029/RG021i003p00721, 1983. 
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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.
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