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(1)E3S Web of Conferences 7, 03022 (2016) FLOODrisk 2016 - 3rd European Conference on Flood Risk Management. DOI: 10.1051/ e3sconf/2016 0703022. Numerical modelling of the impact of flood wave cyclicality on the stability of levees 1,a. 1. Anna Franczyk , Maciej Dwornik and Andrzej . 1. 1. AGH  University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection, al Mickiewicza 30, 30-059 Krakow, Poland. Abstract. Sensitivity analysis applied to the flooding process is discussed in the paper. The analysis was done as part of the ISMOP project devoted to elaborating and designing a complex system for embankment monitoring and threat forecasting. The analysis was performed using selected geotechnical parameters that describe embankment state. It was shown that the sensitivity analysis method is very practical for detecting places where the largest vertical displacement and pore pressure distribution are observed. The sensitivity analysis was carried out for a single flood wave numerical experiment as well as for a double successive flood wave experiment. Comparison of the results allowed us to detect the places where the biggest differences in total relative sensitivity values are observed. Plots of these differences can help to indicate the particular places within the embankment that are the most influenced by successive flood waves and should be especially examined during field experiments as part of the ISMOP project.. 1 Introduction Reliable flood defence is an important issue for the maintenance of the security of any country. This is a key issue for not only lowland areas and environmental protection, but is also essential for densely populated areas with a high degree of industrialisation. A commonly used method of flood protection is river embankments. Without embankments, most countries would be regularly inundated during seasonal high water levels or other sudden weather phenomena resulting in intensive precipitation. Therefore, much attention is paid nowadays to issues related to the design, construction, and maintenance of river embankments. In addition to visual inspection and modern sensor technology, a lot of work is also carried out to update levee state assessments during high water conditions [1-4]. The ISMOP project [5] is an example of such an experiment conducted currently in Poland. The main aim of the ISMOP project is to research complex systems for embankment monitoring and threat forecasting [6-7]. For the purpose of this project, an experimental embankment was constructed in order to measure the impact of given flood wave scenarios on the river embankment. Considering the fact that experiments conducted during the tests cannot cover all possible scenarios for the development of flood waves, several numerical models were constructed to discover the parameters that have the most impact on flood waves. A sensitivity analysis method previously used for uncertainty analysis in a real geotechnical problem [8] was used to indicate the most significant parameters of flood waves in terms of embankment state. a. 2 Sensitivity analysis  

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(41) . Corresponding author: franczyk@geol.agh.edu.pl. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/)..

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(171)    Two intervals of parameters were determined independently. The first set was determined by analysis of historical floods in Poland in the basin of the Vistula River where the experimental embankment was built [18]. The second was assumed according to the ISMOP project documentation that applied certain limited values to the rate of water level changes and the height of water level (experimental knowledge). &    

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(306)     . 6 References 1.. 2.. Figure 10. Differences of the total relative sensitivity values between single and double flood wave cycles.. DOI: 10.1051/ e3sconf/2016 0703022. 3..  

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(376)      .           7 . 6.. 7.. 8.. 9.. 10.. successive flood waves and should be especially examined as part of the ISMOP project.. 11.. Acknowledgements. This work is financed by the National Centre for Research and Development (NCBiR), Poland, project PBS1/B9/18/2013 - (no 180535). This work was partly supported by AGH - University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection, as a part of statutory research project.. 12.. 5. Van, m. A., Zwanenburg, C., Koelewijn, A. R. and van Lottum, H. (2009). Evaluation of Full Scale Levee Stability Tests at Booneschans and Corresponding Centrifuge Tests. Proc. 17th Int. Conf. on Soil Mech. and Geot. Eng., Alexandria, Egypt, pp. 2048-2051. Erdbrink, C.D., Krzhizhanovskaya, V.V. and Sloot, P.M.A., (2012), Controlling flow-induced vibrations of flood barrier gates with data-driven and finite-element modelling. Comprehensive Flood Risk Management ± Klijn & Schweckendiek (eds) © Taylor & Francis Group, London, pp. 425434. Krzhizhanovskaya V. V., Shirshov G. S., Melnikova N. B., Belleman R. G., Rusadi F. I., Broekhuijsen B. J,. Gouldby B. P., Lhomme  

(377)   Pyayt A. L., Mokhov I. I., Ozhigin A. V., Lang B. and Meijer R. J. (2011). Flood early warning system: design, implementation and computational modules, Procedia Computer Science 4, 106115. Radzicki, K., Bonelli, S. (2012). Monitoring of the suffusion process development using thermal analysis performed with IRFTA model, w Proc. of 6th ICSE, 593-600. Moscicki J.W., Bania, G., Cwiklik, M. and Borecka A. (2014). DC resistivity studies of shallow geology in the vicinity of Vistula river flood bank in Czernichów Village (near Kraków in Poland). Studia Geotechnica et Mechanica. 36 (1), 6370     a, M., M., C., Piórkowski, A., and     A model of a system for stream data storage and analysis dedicated to sensor networks of embankment monitoring. Computer Information Systems and Industrial Management, Lecture Notes in Computer Science. Berlin: Springer Berlin Heidelberg, 8838. pp. 514-525. Chuchro, M., Lupa,       !"#   and     A concept of time windows length selection in stream databases in the context of sensor networks monitoring. Advances in databases and information systems and associated satellite events. ADBIS 2014 Advances in Intelligent Systems and Computing. Springer International Publishing. pp. 173-174.    $" % $ (2015). Random set method application to flood embankment stability modeling. Procedia Computer Science, 51, 26682677. Clemson, B., Tang, Y., Pyne, J. and Unal, R. (1995). Efficient methods for sensitivity analysis, System Dynamics Review 11, 31-49. Lomas, K.J. and Eppel, H. (1992). Sensitivity analysis techniques for building thermal simulation programs, Energy and Buildings 19, 21-44. Iman R. L. and Helton, J. C. (1988). An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models. Risk Analysis 8, 71-90. Peschl G. M. (2004). Reliability analysis in &!%' %# " ' ' (!) # *  ) method. PhD thesis. Graz: Graz University of Technology, (unpublished)..

(378) E3S Web of Conferences 7, 03022 (2016) FLOODrisk 2016 - 3rd European Conference on Flood Risk Management. 13. Shen, H., and Abbas, S. (2013). Rock slope reliability analysis based on distinct element method and random set theory. Int. J. of Rock Mech. and Mining Sci, 15-22. 14. Pilecki, Z., Stanisz,  $" % $ +!,   - and Pilecka, E. (2014). Numerical stability analysis of slope with use of Random Set Theory. Zeszyty Naukowe IGSMiE PAN 86, 5  17. 15. Schweiger, H. F., and Peschl, G. M. (2005). Reliability analysis in geotechnics with the random set finite element method. Computers and Geotechnics, 422  435. 16. ."!   $" % $         (2015) Numerical and experimental stability analysis of earthen levees. IAMG 2015 : the 17th annual conference of the International Association for Mathematical Geosciences : Freiberg, Germany, Short Abstract: pp.163-164, Full Paper (DVD): pp. 857-864 17. Itasca Consulting Group, I. (2011). FLAC Fast Lagrangian Analysis of Continua and FLAC/Slope  /#0#  18. Kret E. (2015). ISMOP Internal Raport, Task 2.2.. 6. DOI: 10.1051/ e3sconf/2016 0703022.

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