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dc.contributor.authorZeroual, Sara
dc.contributor.authorŞen, Zekai
dc.contributor.authorBoutaghane, Hamouda
dc.contributor.authorHasbaia, Mahmoud
dc.date.accessioned2021-09-09T07:40:53Z
dc.date.available2021-09-09T07:40:53Z
dc.date.issued2021en_US
dc.identifier.citationZeroual, S., Şen, Z., Boutaghane, H. ve Hasbaia, M. (2021). Monthly extreme rainfall risk envelope graph method development and application in Algeria. Journal of Water and Climate Change, 12(5), 1838-1853. https://dx.doi.org/10.2166/wcc.2020.176en_US
dc.identifier.issn2040-2244
dc.identifier.issn2408-9354
dc.identifier.urihttps://dx.doi.org/10.2166/wcc.2020.176
dc.identifier.urihttps://hdl.handle.net/20.500.12511/8064
dc.description.abstractRainfall patterns are bound to change as a result of global warming and climate change impacts. Rainfall events are dependent on geographic location, geomorphology, coastal area closeness and general circulation air movements. Accordingly, there are increases and decreases at different meteorology station time-series records leading to extreme events such as droughts and floods. This paper suggests a methodology in terms of envelope curves for monthly extreme rainfall event occurrences at a set of risk levels or return periods that may trigger the extreme occurrences at meteorology station catchments. Generally, in many regions, individual storm rainfall records are not available for intensity-duration-frequency (IDF) curve construction. The main purpose of this paper is, in the absence of individual storm rainfall records, to suggest monthly envelope curves, which provide a relationship between return period and monthly extreme rainfall values. The first step is to identify each monthly extreme rainfall records probability distribution function (PDF) for risk level and return period calculations. Subsequently, the return period rainfall amount relationships are presented on double-logarithmic graphs with the best power model as a set of envelope curves. The applications of these methodologies are implemented for three Hodna drainage basin meteorology station rainfall records in northern Algeria. It is concluded that the most extreme rainfall risk months are June, August and September, which may lead to floods or flash floods in the study area. A new concept is presented for the possible extreme value triggering months through the envelope curves as 'low', 'medium' and 'high' class potentials.en_US
dc.language.isoengen_US
dc.publisherIWA Publishingen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectAlgeriaen_US
dc.subjectEnvelopeen_US
dc.subjectExtreme Rainfallen_US
dc.subjectProbabilityen_US
dc.subjectReturn Perioden_US
dc.subjectRisken_US
dc.titleMonthly extreme rainfall risk envelope graph method development and application in Algeriaen_US
dc.typearticleen_US
dc.relation.ispartofJournal of Water and Climate Changeen_US
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.authorid0000-0003-2754-5492en_US
dc.identifier.volume12en_US
dc.identifier.issue5en_US
dc.identifier.startpage1838en_US
dc.identifier.endpage1853en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.2166/wcc.2020.176en_US
dc.identifier.wosqualityQ3en_US
dc.identifier.scopusqualityQ2en_US


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