Simulating spatial aspects of a flash flood using the Monte Carlo method and GRASS GIS: a case study of the Malá Svinka Basin (Slovakia)

Jaroslav Hofierka 1  and Monika Knutová 2
  • 1 Institute of Geography, Faculty of Science, Pavol Jozef Šafárik University in Košice, Jesenná 5, 04001 Košice, Slovak Republic
  • 2 Družstevná 37, 08006 Prešov, Slovak Republic


This paper focuses on the flash flood assessment using a spatially-distributed hydrological model based on the Monte Carlo simulation method. The model is implemented as r.sim.water module in GRASS GIS and was applied to the Malá Svinka Basin in Eastern Slovakia where a heavy rainfall (100 mm/hr.) caused a flash flood event with deadly consequences in July 1998. The event was simulated using standard datasets representing elevation, soils and land cover. The results were captured in time series of water depth maps showing gradual changes in water depths across the basin. The hydrological effects of roads in the study area were simulated using the preferential flow feature of the model. This simulation helped to identify source areas contributing to flooding in built-up areas. The implementation in a GIS environment simplifies the data preparation and eventual modification for various scenarios and flood protection measures. The simulation confirmed excellent robustness and flexibility of the method.

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  • [1] Marchi, L., Borga, M., Preciso, E., Gaume, E., Characterisation of selected flash floods in Europe and implications for flood risk management, J. Hydrol., 2010, 394, 118–133.

  • [2] Loóczy, D., Czigány, S., Pirkhoffer, E., Flash Flood Hazards, In: Kumarasamy, M. (Ed.) Studies onWaterManagement Issues, In- Tech, 2012.

  • [3] Solín, L., Feranec, J., Novácek, J., Land cover changes in small catchments in Slovakia during 1990-2006 and their effects on frequency of flood events, Nat. Hazards, 2010, 56, 195–214.

  • [4] Minea, G., Assessment of the Flash Flood Potential of Basca River Catchment (Romania) Based on Physiographic Factors. Cent. Eur. J. Geosci., 2013, 5, 344–353.

  • [5] Maidment, D.R., Handbook of Hydrology, McGraw-Hill, New York, 1993.

  • [6] Saghafian, B., Implementation of a distributed hydrologic model within Geographic Resources Analysis Support System (GRASS), Proceedings of the Second International Conference on Integrating Environmental Models and GIS, Breckenridge, CO, USA, 1993.

  • [7] Neteler, M., Mitasova, H., Open Source GIS: A GRASS GIS Approach, Third Edition, The International Series in Engineering and Computer Science: Vol. 773, Springer New York Inc., 2008.

  • [8] Hofierka, J., Mitasova, H., Mitas, L., GRASS and modeling landscape processes using duality between particles and fields. In: Ciolli M., Zatelli P. (Eds.): Proceedings of the Open Source Free Software GIS - GRASS users conference 2002, Trento, Italy 11-13 September, 2002.

  • [9] Mitasova, H., Thaxton, C., Hofierka, J., McLaughlin, R., Moore, A., Mitas L., Path sampling method for modeling overland water flow, sediment transport and short term terrain evolution in Open Source GIS. In: C.T. Miller, M.W. Farthing, V.G. Gray, G.F. Pinder (Eds.): Proceedings of the XVth International Conference on Computational Methods inWater Resources (CMWRXV), June 13-17 2004, Chapel Hill, NC, USA, Elsevier, 2004, 1479–1490.

  • [10] Mitas, L., Mitasova, H., Distributed soil erosion simulation for effective erosion prevention,Water Resour. Res. 1998, 34, 505– 516.

  • [11] Julien, P. Y., Saghafian, B., Ogden, F. L., Raster-based hydrologic modeling of spatially-varied surface runoff.Water Resour. Bull., AWRA, 31, 1995, 523–536.

  • [12] Vieux, B.E., Distributed Hydrologic Modeling Using GIS, Kluwer Academic Publishers, Dordrecht, Water Trans. 48, 2004.

  • [13] Engman, E.T., Roughness coefficient for routing surface runoff. J. Irrig. Drain. Eng., 1986, 112, 39–53.

  • [14] Syme, W.J., Flooding in urban areas - 2D modelling approaches for buildings and fences. In: Engineers Australia, 9th National Conference on Hydraulics inWater Engineering, Darwin Convention Centre, Australia, 2008.

  • [15] Kidwell, M.R., Weltz, M.A., Guertin, D.P., Estimation of Green- Ampt effective hydraulic conductivity for rangelands, J. Range Manage., 1997, 50, 290–299.

  • [16] Svoboda A., Pekárová P., Katastrofálna povoden z júla 1998 v povodíMalej Svinky - simulácia jej priebehu, Catastrophic flood of July 1998 in the Malá Svinka catchment - its simulation. J. Hydrol. Hydromech., 1998, 46, 356–365 (in Slovak with English summary).

  • [17] Gallay, M., Lloyd, C. McKinley, J., Barry, L., Assessing modern ground survey methods and airborne laser scanning for digital terrain modelling: A case study from the Lake District, England. Comput. Geosci., 2013, 51, 216–227.


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