Commenced in January 2007
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Paper Count: 30172
Automatic Flood Prediction Using Rainfall Runoff Model in Moravian-Silesian Region

Authors: B. Sir, M. Podhoranyi, S. Kuchar, T. Kocyan


Rainfall runoff models play important role in hydrological predictions. However, the model is only one part of the process for creation of flood prediction. The aim of this paper is to show the process of successful prediction for flood event (May 15 – May 18 2014). Prediction was performed by rainfall runoff model HEC–HMS, one of the models computed within Floreon+ system. The paper briefly evaluates the results of automatic hydrologic prediction on the river Olše catchment and its gages Český Těšín and Věřňovice.

Keywords: Flood, HEC-HMS, Prediction, Rainfall – Runoff.

Digital Object Identifier (DOI):

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[1] X. Y. Li, K. W. Chau, Ch. T. Cheng, Y. S. Li, “A Web-based flood forecasting system for Shungpai region, ” Adv. Eng. Softw., vol. 37, pp. 146-158, 2006.
[2] J. A. Reistetter, M. Russell, “High-resolution land cover datasets, composite curve numbers, and storm water retention in the Tampa Bay, FL region,” Appl. Geogr., vol.31, pp. 740-747, 2011.
[3] A. Petroselli, S.Grimaldi, N.Romano, “Curve-Number/Green-Ampt mixed procedure for net rainfall estimation: a case study of the Mignone watershed, IT,” Proc. Env. Sc., vol.19, pp.113-121, 2013.
[4] S. Isik, L. Kalin, J. E. Schoonover, P. Srivastava, B. G. Lockaby, “Modeling effects of changing land use/cover on daily streamflow: An Artificial Neural Network and curve number based hybrid approach,” J. Hydrol., vol. 485, pp.103-112, 2013.
[5] I. Demir, W. F. Krajewski, “Towards an integrated Flood Information System: Centralized data access, analysis, and visualization,” Environ. Modell. Softw. , vol. 50, pp.77-84, 2013.
[6] Y.Bahat, T.Grodek, J.Lekach, E. Morin, “Rainfall-runoff modeling in a small hyper-arid catchment,” J.Hydrol., vol.373, pp.204-217, 2009.
[7] Y.Jia, H.Zhao, C.Niu, Y.Jiang, H.Gan, Z.Xing, X. Zhao, Z.Zhao, “A WebGIS-based system for rainfall-runoff prediction and real-time water resources assessment for Beijing,” Comput. Geosci., vol.35, pp.1517- 1528, 2009.
[8] M. Seyoum, S. J. van Andel, Y. Xuan, K. Amare, “Precipitation forecasts for rainfall runoff predictions. A case study in poorly gauged Ribb and Gumara catchments, upper Blue Nile, Ethiopia,” Phys. Chem. Earth, vol.61-62, pp. 43-51, 2013.
[9] B.Arheimer, G.Lindstrom, J.Olsson, “A systematic review of sensitivities in the Swedish flood-forecasting system,” Atmos. Res., vol.100, pp.275-284, 2011.
[10] R.Modarres, T.B.M.J. Ouarda, “Modeling rainfall-runoff relationship using multivariate GARCH model,” J.Hydrol., vol. 499, pp.1-18, 2013.
[11] European Union, “Directive 2007/60/ec of the European Parliament and of the Council - on the assessment and management of flood risks,” J. of the EU, pp.27-34, 2007.
[12] J.E. Nash, J.V. Sutcliffe, “River flow forecasting through conceptual models: 1. A discussion of principles”, Journal of Hydrology, vol10, pp. 282–290, 1970.
[13] I. Vondrák, J. Martinovič, J. Kožusznik, S. Štolfa, T. Kozubek, P. Kubíček, V. Vondrák, J. Unucka, “A description of a highly modular system for the emergent flood prediction”, 7th Computer Information Systems and Industrial Management Applications International Conference, CISIM ’08, pp. 219-224, 2008.
[14] J. Martinovič, Š. Kuchař, I. Vondrák, V. Vondrák, B. Šír, J. Unucka, “Multiple Scenarios Computing In The Flood Prediction System FLOREON”, 24th European Conference on Modelling and Simulation, pp. 182-188, 2010.
[15] Czech Hydrometeorological Institute, “Actual radar data, czrad”, 2014.