Fuzzy standardized precipitation index (FSPI) for drought early warning procedure

Basit Öğe Kaydı
dc.authorid0000-0001-9846-8581
dc.contributor.authorŞen, Zekâi
dc.date.accessioned2024-03-22T06:09:15Z
dc.date.available2024-03-22T06:09:15Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü
dc.description.abstractThere are several standardized meteorological, hydrological, agricultural, and environmental indices for drought classification into a set of dry categories all of which are derived from the basic concept of standardized precipitation index (SPI). Almost all these indices are based on crisp (bivalent) logic where boundary limits between neighboring categories are numbers without transboundary inclusiveness. The SPI procedure depends on the standard normal (Gaussian) probability distribution function (PDF) with zero mean and standard deviation equal to one. This paper proposed fuzzification of the SPI limits among categories for the inclusion of more than one category with different membership degrees. This method is referred to as the fuzzy SPI (FSPI) procedure, which provides drought tracing possibility and categorization. At the end for a numerical value, one can defuzzify the fuzzy result through defuzzification methods. FSPI provides preliminary warning system in terms of two or more fuzzy rule propositions and categories. Thus, one can know the logical alternatives of the drought behavior of a given hydro-meteorology variable. The application of the FSPI is presented for New Jersey State wise and Istanbul annual precipitation records.
dc.identifier.citationŞen, Z. (2024). Fuzzy standardized precipitation index (FSPI) for drought early warning procedure. Theoretical and Applied Climatology, 155(2), 1281-1287. https://dx.doi.org/10.1007/s00704-023-04691-y
dc.identifier.doi10.1007/s00704-023-04691-y
dc.identifier.endpage1287
dc.identifier.issn0177-798X
dc.identifier.issn1434-4483
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85173111344
dc.identifier.scopusqualityQ2
dc.identifier.startpage1281
dc.identifier.urihttps://dx.doi.org/10.1007/s00704-023-04691-y
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12388
dc.identifier.volume155
dc.identifier.wos001142035500005en_US
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorŞen, Zekâi
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofTheoretical and Applied Climatologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectClassification
dc.subjectDrought
dc.subjectEarly Warning
dc.subjectFuzzy
dc.subjectLogic
dc.subjectPrecipitation
dc.subjectStandardization
dc.titleFuzzy standardized precipitation index (FSPI) for drought early warning procedure
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
Sen-Zekai-2024.pdf
Boyut:
614.4 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu