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dc.contributor.authorCingi, Didem Odabasi
dc.contributor.authorAkyuz, Dilek Eren
dc.contributor.authorAkkaya, Ergun Eray
dc.date.accessioned2021-03-03T08:40:01Z
dc.date.available2021-03-03T08:40:01Z
dc.identifier.citationCingi D. O. , Akkaya E. E. , Akyuz D. E. , "Chaos in hydrology: A case study in Konya Basin, Turkey", 13th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), Belfast, İngiltere, 21 - 24 Ağustos 2018, cilt.11, ss.1349-1356
dc.identifier.othervv_1032021
dc.identifier.otherav_18bd51e5-b6f4-47db-bde4-fef86afd5a81
dc.identifier.urihttp://hdl.handle.net/20.500.12627/21966
dc.description.abstractEvery natural behaviour is non-linear, but not always is chaotic. This paper aims to investigate low dimensional chaotic behaviour of study area: Konya Basin by using non-linear time series techniques with three stages: i) Mutual Information, ii) False Nearest Neighbour ( FNN) algorithm, iii) Stretching Exponential. These techniques calculate the delay time, the embedding dimensions and the maximal positive Lyapunov exponent respectively. The data set consists of daily average flow rates of three stations in Konya Basin through the study period between 1968 and 2014. Analysed data implied that these time series have shown chaos. This information helps catchment manager to forecast future and the extreme flow rates such as droughts and floods.
dc.language.isoeng
dc.subjectEkonomi ve İş
dc.subjectSosyal Bilimler (SOC)
dc.subjectSosyal ve Beşeri Bilimler
dc.subjectEkonometri
dc.subjectYöneylem
dc.subjectBilgisayar Bilimleri
dc.subjectAlgoritmalar
dc.subjectBilgi Güvenliği ve Güvenilirliği
dc.subjectBİLGİSAYAR BİLİMİ, BİLGİ SİSTEMLERİ
dc.subjectMühendislik ve Teknoloji
dc.subjectOPERASYON ARAŞTIRMA VE YÖNETİM BİLİMİ
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.titleChaos in hydrology: A case study in Konya Basin, Turkey
dc.typeBildiri
dc.contributor.departmentİstanbul Aydın Üniversitesi , ,
dc.identifier.volume11
dc.contributor.firstauthorID152799


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