Developing numerical equality to regional intensity-duration-frequency curves using evolutionary algorithms and multi-gene genetic programming

Citakoglu, Hatice; Demir, Vahdettin

doi:10.1007/s11600-022-00883-8

Artykuł - szczegóły

Tytuł artykułu

Developing numerical equality to regional intensity-duration-frequency curves using evolutionary algorithms and multi-gene genetic programming

Autorzy

Citakoglu Hatice , Demir Vahdettin

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-022-00883-8

Warianty tytułu

Języki publikacji

Abstrakty

This study aims to carry out regional intensity−duration−frequency (IDF) equality using the relationship with IDF obtained from point frequency analysis. Eleven empirical equations used in the literature for seven climate regions of Turkey were calibrated using particle swarm optimization (PSO) and genetic algorithm (GA) optimization techniques and the obtained results were compared. In addition, in this study, new regional IDF equations were obtained for each region utilizing Multi-Gene Genetic Programming (MGGP) method. Finally, Kruskal–Wallis (KW) test was applied to the IDF values obtained from the methods and the observed values. As a result of the study, it was observed that the coefficients of 11 empirical equations calibrated with PSO, and GA techniques were different from each other. The mean absolute error (MAE), root mean square error (RMSE), mean absolute relative error (MARE), coefficient of determination (R2 ), and Taylor diagram were used to evaluate the performances of PSO, GA, and MGGP techniques. According to the performance criteria, it has been determined that the IDF equations obtained by the MGGP method for the Eastern Anatolia, Aegean, Southeastern Anatolia, and Central Anatolia regions are more successful than the empirical equations calibrated with the PSO and GA method. The empirical IDF equations produced with PSO and the IDF equations acquired with MGGP have similar findings in the Mediterranean, Black Sea, and Marmara. In addition, the KW test results showed that the data of all models were from the same population.

Słowa kluczowe

genetic algorithm particle swarm optimization Turkey regional intensity-duration-frequency analysis multigene genetic programming

algorytm genetyczny optymalizacja roju cząstek Turcja

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2023

Tom

Vol. 71, no. 1

Strony

469--488

Opis fizyczny

Bibliogr. 87 poz.

Twórcy

autor

Citakoglu Hatice

Civil Engineering Department, Engineering Faculty, Erciyes University, Kayseri, Turkey

autor

Demir Vahdettin

vahdettin.demir@karatay.edu.tr

Civil Engineering Department, Faculty of Engineering and Natural Sciences, KTO Karatay University, Konya, Turkey

https://orcid.org/0000-0002-6590-56588

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).

Typ dokumentu

Bibliografia

Identyfikator YADDA

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