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dc.contributor.authorŞen, Zekai
dc.contributor.authorŞişman, Eyüp
dc.contributor.authorDabanlı, İsmail
dc.date.accessioned2020-11-30T06:09:41Z
dc.date.available2020-11-30T06:09:41Z
dc.date.issued2020en_US
dc.identifier.citationŞen, Z., Şişman, E. ve Dabanlı, İ. (2020). Wet and dry spell feature charts for practical uses. Natural Hazards, 104(3), 1975-1986. https://dx.doi.org/10.1007/s11069-020-04257-5en_US
dc.identifier.issn0921-030X
dc.identifier.issn1573-0840
dc.identifier.urihttps://dx.doi.org/10.1007/s11069-020-04257-5
dc.identifier.urihttps://hdl.handle.net/20.500.12511/6056
dc.description.abstractWater resources management is dependent on wet and dry spells occurrences in an alternative manner. Therefore, information about their probabilistic occurrence frequencies and statistical parameters are the most required quantities for optimum and well-balanced operations for water demand. Among the most important dry spells are the meteorological (precipitation) and hydrological (runoff, stream flow, reservoir level, ground water level, etc.) drought occurrences and their future expectations under a certain level of risk (exceedance probability) or return period, which is the inverse of the risk. Firstly, this paper presents detection of wet and dry spell parameters among which are the duration, maximum surplus or deficit, magnitude, and intensity. Secondly, a set ofbeneficialcharts is presented in the new graphical form for each dry (wet) spell characteristic versus different risk levels (0.50, 0.20, 0.10, 0.04 0.02, 0.01, 0.004 and 0.002) corresponding to return periods (2-year, 5-year, 10-year, 25-year, 50-year, 100-year, 250-year and 500-year). These applications of the methodology are presented for New Jersey Statewide annual precipitation and Danube River annual discharge records each with more than 100 years records. Finally, it is found that the mathematical relationship between each wet and dry spell parameter and the return periods abide with exponential function, which appears on semi-logarithmic papers as straight lines. Consequently, it can be generalized for the study area that any drought (wet) parameters variation with the return period appears as exponential function for hydro-meteorological records.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectDry (Wet) Spellen_US
dc.subjectDroughten_US
dc.subjectDurationen_US
dc.subjectIntensityen_US
dc.subjectMagnitudeen_US
dc.subjectReturn Perioden_US
dc.subjectRisken_US
dc.titleWet and dry spell feature charts for practical usesen_US
dc.typearticleen_US
dc.relation.ispartofNatural Hazardsen_US
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, İklim Değişikliği Araştırmaları Araştırma Merkezi (İKLİMER)en_US
dc.authorid0000-0003-2754-5492en_US
dc.authorid0000-0003-3696-9967en_US
dc.authorid0000-0003-3108-8167en_US
dc.identifier.volume104en_US
dc.identifier.issue3en_US
dc.identifier.startpage1975en_US
dc.identifier.endpage1986en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1007/s11069-020-04257-5en_US
dc.identifier.wosqualityQ2en_US
dc.identifier.scopusqualityQ1en_US


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