Actual precipitation index (API) for drought classification

dc.authorid0000-0003-2754-5492
dc.contributor.authorŞen, Zekai
dc.contributor.authorAlmazroui, Mansour
dc.date.accessioned2021-10-07T09:17:53Z
dc.date.available2021-10-07T09:17:53Z
dc.date.issued2021
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü
dc.description.abstractThe Standard Precipitation Index (SPI) is a widely used statistical technique for the characterization of droughts. It is based on a probabilistic standardization procedure, which converts a Gamma-type probability distribution function (PDF) into a normal (Gaussian) standard series with zero mean and unit standard deviation. Drought classification based on SPI indicates dry and wet spell characteristics, provided that the hydro-meteorological records abide by normal (Gaussian) PDF only, otherwise the results will be biased. Therefore, in this paper, the actual precipitation index (API) method is presented, which provides drought classification and information regardless of the underlying PDFs. The main purpose of this paper is to explain the main differences between SPI and API and to prove that the use of API is the more reliable solution for classification of droughts into five categories described as "Normal dry", "Slightly dry", "Medium dry", "Very dry" and "Extremely dry". The application of the methodology is presented for two sets of precipitation data; one with exponential PDF monthly precipitation records from Istanbul City, Turkey and one for New Jersey, USA with almost normal (Gaussian) PDF based on annual precipitation records. The comparisons indicate that API is applicable regardless of the underlying PDF of the hydro-meteorology data. It produces real drought classification from the original data without recourse to standard normal PDF conversion.
dc.identifier.citationŞen, Z. ve Almazroui, M. (2021). Actual precipitation index (API) for drought classification. Earth Systems and Environment, 5(1), 59-70. https://dx.doi.org/10.1007/s41748-021-00201-0
dc.identifier.doi10.1007/s41748-021-00201-0
dc.identifier.endpage70
dc.identifier.issn2509-9426
dc.identifier.issn2509-9434
dc.identifier.issue1
dc.identifier.scopusqualityQ2
dc.identifier.startpage59
dc.identifier.urihttps://dx.doi.org/10.1007/s41748-021-00201-0
dc.identifier.urihttps://hdl.handle.net/20.500.12511/8384
dc.identifier.volume5
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer International Publishing AG
dc.relation.ispartofEarth Systems and Environmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectActual
dc.subjectClassification
dc.subjectDrought Duration
dc.subjectIndex
dc.subjectPrecipitation
dc.subjectProbability
dc.subjectStandard
dc.subjectStatistics
dc.titleActual precipitation index (API) for drought classification
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Yükleniyor...
Küçük Resim
İsim:
Sen-Zekai-2021.pdf
Boyut:
1.48 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
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: