View More View Less
  • 1 Department of Land and Water Resources Management, Faculty of Civil Engineering Slovak University of Technology Bratislava, Radlinského 11, 810 05 Bratislava
Restricted access

Purchase article

USD  $25.00

Purchase this article

USD  $387.00

The paper focuses on the impact of climate change on runoff in the Ipoltica River basin in northern Slovakia. The analysis is divided into two parts: the first part contains an analysis of predicted changes in short-term rainfall intensities at the Liptovská Teplička climatological station; the second part is focused on the impact of runoff on a small mountainous river basin. The predicted short-term rainfall intensities were analyzed using the Community Land Model, which is a Regional Climate Model. The analysis was performed in durations of 60 to 1440 minutes for a warm period. The focus was aimed at comparing changes in rainfall characteristics, especially changes in seasonality, the scaling exponents, and design values. The second part focuses on the impact of changes in short-term rainfall on changes in runoff. The estimation of predicted runoff changes was provided for the period 2070 - 2100. These results were compared with the results from actual observations. The design floods were calculated using the Soil Conservation Service - Curve Number method. The results show that the runoff will be affected by climate change. Hence, it is important to reevaluate the land use management and practices at the Ipoltica River basin.

  • [1]

    Hlavčová K., Kohnová S., Borga M., Horvát O., Šťastný P., Pekárová P., Majerčáková O., Danáčová Z. Post-event analysis and flash flood hydrology in Slovakia, Journal of Hydrology and Hydromechanics, Vol. 64, No. 4, 2016, pp. 304315.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • [2]

    Pascale S., Lucarini V., Feng X., Porporato A., Ul Hasson P. Projected changes of rainfall seasonality and dry spells in a high greenhouse gas emissions scenario, Climate Dynamics, Vol. 46, No. 3-4, 2016, pp. 13311350.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • [3]

    De Franco M., Minniti M., Versaci R., Foti G., Canale C., Puntorieri P. Flash floods in urban areas: Case studies in Reggio Calabria (Italy),. in: Mannina G. (Ed.) New trends in urban drainage modeling, Springer, 2018, pp. 441446.

    • Search Google Scholar
    • Export Citation
  • [4]

    Skaugen T. E., Førland E. J. Future changes in extreme precipitation estimated in Norwegian catchments, Report, Norwegian Meteorological Institute, No. 13, 2011, pages 128.

    • Search Google Scholar
    • Export Citation
  • [5]

    Requena A. I., Burn D. H., Coulibaly P. Pooled frequency analysis for intensity–duration–frequency curve estimation, Hydrological Processes, Vol. 33, No. 15, 2019, pp. 2080-2094.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • [6]

    Soltani S., Helfi R., Almasi P., Modarres R. Regionalization of rainfall intensity-duration-frequency using a simple scaling model, Water Resources Management, Vol. 31, No. 13, 2017, pp. 42534273.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • [7]

    Lapin M., Damborská L., Gaál L., Melo M. Possible precipitation regime change in Slovakia due to air pressure and circulation changes in the Euro-Atlantic area until 2100, Contributions to Geophysics and Geodesy, Vol. 33, No. 3, 2003, pp. 161189.

    • Search Google Scholar
    • Export Citation
  • [8]

    Hanel M., Buishand T. A. On the value of hourly precipitation extremes in regional climate model simulations, Journal of Hydrology, Vol. 393, No. 3-4, 2010, pp. 265273.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • [9]

    Kohnová S., Vasilaki M., Hanel M., Szolgay J., Hlavčová K., Loukas A., Földes G. Detection of future changes in trends and scaling exponents in extreme short-term rainfall at selected stations in Slovakia, Contributions to Geophysics and Geodesy, Vol. 48, No. 3, 2018, pp. 207230.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • [10]

    Pindjaková T., Kelčík S., Šoltész A. Simulation of flood progress on the river Gidra, Pollack Periodica, Vol. 11, No. 1, 2016, pp. 2534.

  • [11]

    Čubanová L., Šoltész A., Janík A. Hydrological-hydraulic assessment of proposed flood protection measures, Pollack Periodica, Vol. 14, No. 3, 2019, pp. 97108.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • [12]

    Németová Z., Honek D., Látková T., Šulc Michalková, M., Kohnová S. An assessment of soil water erosion in the Myjava hill land: The application of a physically-based erosion model, Pollack Periodica, Vol. 13, No. 3, 2018, pp. 197208.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • [13]

    Nakicenovic N. (lead Author) Special report on emission scenarios, A special report of UN Working Group III of the Intergovernmental Panel on Climate Change, Special Report on Emissions Scenarios, Cambridge University Press, Cambridge, UK, 2000.

    • Search Google Scholar
    • Export Citation
  • [14]

    CLM Community land model, Overview, http://www.cgd.ucar.edu/tss/clm/ (last visited: 15 December 2019).

  • [15]

    CESM Community earth system model, Community Land Model, http://www.cesm.ucar.edu/models/clm/ (last visited 15 December 2019)

  • [16]

    Böhm U., Kücken M., Ahrens W., Block A., Hauffe D., Keuler K Rockel B., Will A. CLM-The climate version of LM: brief description and long-term applications, COSMO Newsletter, No. 6, 2006, pp. 225235.

    • Search Google Scholar
    • Export Citation
  • [17]

    Burn D. H. Catchments similarity for regional flood frequency analysis using seasonality measures, J. Hydrology, Vol. 202, Nos. 1-4, 1997, pp. 212–230.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • [18]

    Koutsoyiannis D., Foufoula-Georgiu E. A scaling model of storm hyetograph, Water Resources Research, Vol. 29, No. 7, 1993, pp. 23452361.

  • [19]

    Menabde M., Seed A., Pegram G. A simple scaling model for extreme rainfall, Water Resources Research, Vol. 35, No. 1, 1999, pp. 335−339.

  • [20]

    Boughton W. C. A review of the USDA SCS curve number method, Australian Journal of Soil Research, Vol. 27, No. 3, 1989, pp. 511523.

  • [21]

    Fan F., Deng Y., Hu X., Weng Q. Estimating composite curve number using an improved SCS-CN method with remotely sensed variables in Guangzhou, China, Remote Sensing, Vol. 5, No. 3, 2013, pp. 14251438.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • [22]

    Hydrology Training Series, Module 104, Runoff curve, number computations, Study Guide, US Department of Agriculture - Soil Conservation Service, Washington DC, 1989.

    • Search Google Scholar
    • Export Citation
  • [23]

    Mishra S. K., Singh V. Soil conservation service curve number (SCS-CN) methodology Springer, 2003.

  • [24]

    Rutkowska A Kohnová S., Banasik K., Szolgay J., Karabová B. Probabilistic properties of a curve number: A case study for small Polish and Slovak Carpathian Basins, Journal of Mountain Science, Vol. 12, No. 3, 2015, pp. 533548.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • [25]

    Lapin M., Bašták-Ďurán I., Gera M., Hrvoľ J., Kremler M., Melo M. New climate change scenarios for Slovakia based on global and regional general circulation models, Acta Met. Univ. Comen, Vol. 37, 2012, pp. 2574.

    • Search Google Scholar
    • Export Citation
  • [26]

    Copernicus land monitoring service, Corine land cover, Copernicus Programme, https://land.copernicus.eu/pan-european/corine-land-cover, (last visited 15 December 2019).

All Time Past Year Past 30 Days
Abstract Views 213 213 9
Full Text Views 52 52 0
PDF Downloads 23 23 0