Journal : Acta Geophysica
Article : Development of Local IDF-formula Using Controlled Random Search Method for Global Optimization

Authors :
Karakostas, V.
Geophysics Department, Aristotle University of Thessaloniki, Thessaloniki, Greece, vkarak@geo.auth.gr,
Papadimitriou, E.
Geophysics Department, Aristotle University of Thessaloniki, Thessaloniki, Greece, ritsa@geo.auth.gr,
Mesimeri, M.
Geophysics Department, Aristotle University of Thessaloniki, Thessaloniki, Greece, mmesimer@geo.auth.gr,
Paradisopoulou, P.
Geophysics Department, Aristotle University of Thessaloniki, Thessaloniki, Greece, ppara@geo.auth.gr,
Gkarlaouni, Ch.
Geophysics Department, Aristotle University of Thessaloniki, Thessaloniki, Greece, hagarl@geo.auth.gr,
Trojanowski, J.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, jtroj@igf.edu.pl,
Plesiewicz, B.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland,
Wiszniowski, J.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland,
Danek, T.
Department of Earth Sciences, Memorial University of Newfoundland, St. John’s, Canad,
Slawinski, M. A.
Department of Geoinformatics and Applied Computer Science, AGH – University of Science and Technology, Kraków, Poland,
Baddari, K.
Laboratory of Physics of the Earth UMBB, Boumerdes, Algeria / University of Bouira, Bouira, Algeria / Laboratory LIMOSE UMBB, Boumerdes, Algeria,
Frolov, A. D.
Geophysical Division NCG, Russian Academy of Sciences, Moscow, Russia,
Tourtchine, V.
Laboratory LIMOSE UMBB, Boumerdes, Algeria,
Rahmoune, F.
Laboratory LIMOSE UMBB, Boumerdes, Algeria,
Makdeche, S.
Laboratory LIMOSE UMBB, Boumerdes, Algeria,
Semenov, V. Yu.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, sem@igf.edu.pl,
Giorgi, L.
IBAM – National Council of Research, Lecce, Italy,
Leucci, G.
IBAM – National Council of Research, Lecce, Italy,
Narayan, J. P.
Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, India,
Arafat, M. Y.
Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, India,
Kamal
Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, India,
Lizurek, G.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, lizurek@igf.edu.pl,
Rudziński, Ł.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland,
Plesiewicz, B.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland,
Kwietniak, A.
Academy of Science and Technology AGH, Faculty of Geology, Geophysics and Environmental Protection, Kraków, Poland, kwietnia@agh.edu.pl,
Singh, M. K.
Department of Applied Mathematics, Indian School of Mines, Dhanbad, India, drmks29@rediffmail.com,
Mahato, N. K.
Department of Mathematics, C.V. Raman College of Engineering, Bhubaneswar, India, kr.nav81@gmail.com,
Kumar, N.
Department of Mathematics, Banaras Hindu University, Varanasi, India, nks_1953@yahoo.co.in,
Weinerowska-Bords, K.
Faculty of Civil and Environmental Engineering, Gdańsk University of Technology, Gdańsk, Poland, kwein@pg.gda.pl,
Abstract : The aim of the study is to present the effective and relatively simple empirical approach to rainfall intensity-duration-frequency-formulas development, based on Controlled Random Search (CRS) for global optimization. The approach is mainly dedicated to the cases in which the commonly used IDF-relationships do not provide satisfactory fit between simulations and observations, and more complex formulas with higher number of parameters are advisable. Precipitation data from Gdańsk gauge station were analyzed as the example, with use of peak-overthreshold method and Chomicz scale for rainfall intensity. General forms of the IDF-function were chosen and the parameter calibration with use of CRS algorithm was developed. The compliance of the obtained IDFformulas with precipitation data and the efficiency of the algorithm were analyzed. The study confirmed the proposed empirical approach may be an interesting alternative for probabilistic ones, especially when IDFrelationship has more complex form and precipitation data do not match “typical” hydrological distributions.

Keywords : precipitation, data analysis, IDF formulas, optimization,
Publishing house : Instytut Geofizyki PAN
Publication date : 2015
Number : Vol. 63, no. 1
Page : 232– – 274

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DOI :
Qute : Karakostas, V. ,Papadimitriou, E. ,Mesimeri, M. ,Paradisopoulou, P. ,Gkarlaouni, Ch. ,Trojanowski, J. ,Plesiewicz, B. ,Wiszniowski, J. ,Danek, T. ,Slawinski, M. A. ,Baddari, K. ,Frolov, A. D. ,Tourtchine, V. ,Rahmoune, F. ,Makdeche, S. ,Semenov, V. Yu. ,Giorgi, L. ,Leucci, G. ,Narayan, J. P. ,Arafat, M. Y. ,Kamal ,Lizurek, G. ,Rudziński, Ł. ,Plesiewicz, B. ,Kwietniak, A. ,Singh, M. K. ,Mahato, N. K. ,Kumar, N. ,Weinerowska-Bords, K. ,Weinerowska-Bords, K. , Development of Local IDF-formula Using Controlled Random Search Method for Global Optimization. Acta Geophysica Vol. 63, no. 1/2015
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