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Prediction of snowmelt floods with a distributed hydrological model using a physical snow mass and energy balance approach

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  • H. Zeinivand
  • F. De Smedt

Abstract

Modeling snowmelt is important for water resources management and the assessment of spring snowmelt flood risk. The objective of this study was to develop a physically based module for the WetSpa model to improve the simulation of snowmelt processes. The improved model is applied, calibrated, and verified on the Hornad watershed, upstream of Margecany, Western Carpathians, Slovakia, with 10 years of observed daily precipitation and air temperature, and estimated daily potential evaporation. Daily discharge data of the gauging station at Margecany is used for model calibration and verification. The model proves to predict accurately snow accumulation and snowmelt floods, although the parameters of the snow simulation module are preset and not adjusted by model calibration. In order to show the performance of the model, two particular snow accumulation and melt periods are discussed in detail. The relevant terms of the snowpack mass and energy balances as well as the related heat and mass transport processes are discussed. The study demonstrates that accurate snowmelt prediction based on a physically energy budget approach is possible with controlling parameters that do not need any calibration. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • H. Zeinivand & F. De Smedt, 2010. "Prediction of snowmelt floods with a distributed hydrological model using a physical snow mass and energy balance approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 54(2), pages 451-468, August.
    • Handle: RePEc:spr:nathaz:v:54:y:2010:i:2:p:451-468
    DOI: 10.1007/s11069-009-9478-9
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    References listed on IDEAS

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    1. N/A, 1996. "Note:," Foreign Trade Review, , vol. 31(1-2), pages 1-1, January.
    2. Nurünnisa Usul & Burak Turan, 2006. "Flood forecasting and analysis within the Ulus Basin, Turkey, using geographic information systems," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 39(2), pages 213-229, October.
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    Cited by:

    1. Xuanyi Zhou & Jialiang Li & Ming Gu & Lulu Sun, 2015. "A new simulation method on sliding snow load on sloped roofs," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(1), pages 39-65, May.
    2. Xuanyi Zhou & Yunqing Zhang & Ming Gu & Jialiang Li, 2013. "Simulation method of sliding snow load on roofs and its application in some representative regions of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(2), pages 295-320, June.
    3. Omid Rahmati & Ali Haghizadeh & Stefanos Stefanidis, 2016. "Assessing the Accuracy of GIS-Based Analytical Hierarchy Process for Watershed Prioritization; Gorganrood River Basin, Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1131-1150, February.
    4. Mahtab Forootan Danesh & Mohammad Reza Dahmardeh Ghaleno & Ehsan Alvandi & Sarita Gajbhiye Meshram & Ercan Kahya, 2020. "RETRACTED ARTICLE: Predicting the Impacts of Optimal Residential Development Scenario on Soil Loss Caused by Surface Runoff and Raindrops Using TOPSIS and WetSpa Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(10), pages 3257-3277, August.
    5. Siquan Yang & Haixia He & Weitao Chen & Lizhe Wang, 2018. "Direct tangible damage assessment for regional snowmelt flood disasters with HJ-1 and HR satellite images: a case study of the Altay region, northern Xinjiang, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(3), pages 1099-1116, December.

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