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

Related authors

Statistical post-processing of precipitation forecasts using circulation classifications and spatiotemporal deep neural networks
Tuantuan Zhang, Zhongmin Liang, Wentao Li, Jun Wang, Yiming Hu, and Binquan Li
Hydrol. Earth Syst. Sci., 27, 1945–1960, https://doi.org/10.5194/hess-27-1945-2023,https://doi.org/10.5194/hess-27-1945-2023, 2023
Short summary
Connections between meteorological and hydrological droughts in a semi-arid basin of the middle Yellow River
Binquan Li, Changchang Zhu, Zhongmin Liang, Guoqing Wang, and Yu Zhang
Proc. IAHS, 379, 403–407, https://doi.org/10.5194/piahs-379-403-2018,https://doi.org/10.5194/piahs-379-403-2018, 2018
Short summary
Non-stationary hydrological frequency analysis based on the reconstruction of extreme hydrological series
Y. M. Hu, Z. M. Liang, X. L. Jiang, and H. Bu
Proc. IAHS, 371, 163–166, https://doi.org/10.5194/piahs-371-163-2015,https://doi.org/10.5194/piahs-371-163-2015, 2015
Short summary

Related subject area

Hydrological Hazards
Precursors and pathways: dynamically informed extreme event forecasting demonstrated on the historic Emilia-Romagna 2023 flood
Joshua Dorrington, Marta Wenta, Federico Grazzini, Linus Magnusson, Frederic Vitart, and Christian M. Grams
Nat. Hazards Earth Syst. Sci., 24, 2995–3012, https://doi.org/10.5194/nhess-24-2995-2024,https://doi.org/10.5194/nhess-24-2995-2024, 2024
Short summary
Demonstrating the use of UNSEEN climate data for hydrological applications: case studies for extreme floods and droughts in England
Alison L. Kay, Nick Dunstone, Gillian Kay, Victoria A. Bell, and Jamie Hannaford
Nat. Hazards Earth Syst. Sci., 24, 2953–2970, https://doi.org/10.5194/nhess-24-2953-2024,https://doi.org/10.5194/nhess-24-2953-2024, 2024
Short summary
Exploring the use of seasonal forecasts to adapt flood insurance premiums
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024,https://doi.org/10.5194/nhess-24-2923-2024, 2024
Short summary
Are 2D shallow-water solvers fast enough for early flood warning? A comparative assessment on the 2021 Ahr valley flood event
Shahin Khosh Bin Ghomash, Heiko Apel, and Daniel Caviedes-Voullième
Nat. Hazards Earth Syst. Sci., 24, 2857–2874, https://doi.org/10.5194/nhess-24-2857-2024,https://doi.org/10.5194/nhess-24-2857-2024, 2024
Short summary
Water depth estimate and flood extent enhancement for satellite-based inundation maps
Andrea Betterle and Peter Salamon
Nat. Hazards Earth Syst. Sci., 24, 2817–2836, https://doi.org/10.5194/nhess-24-2817-2024,https://doi.org/10.5194/nhess-24-2817-2024, 2024
Short summary

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. 
Download
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.
Altmetrics
Final-revised paper
Preprint