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The Procedure of Detecting Drought Trend by Using Sen's Innovative Trend Analysis Methodology

dc.authorid Aydin, Mahsum/0000-0001-9739-4066
dc.authorscopusid 57208403040
dc.authorwosid Aydin, Mahsum/Gxh-1507-2022
dc.contributor.author Aydin, Mahsum
dc.date.accessioned 2025-05-10T17:25:11Z
dc.date.available 2025-05-10T17:25:11Z
dc.date.issued 2024
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp [Aydin, Mahsum] Van Yuzuncu Yil Univ, Engn Fac, Civil Engn Dept, TR-65080 Van, Turkiye en_US
dc.description Aydin, Mahsum/0000-0001-9739-4066 en_US
dc.description.abstract The increasing effect of drought causes negative effects on water resources. To prevent these negative effects, it is of great importance to know the trend of drought over time. Many methods are used in the literature to determine the severity of drought. One of these methods is the Standard Precipitation Index (SPI), which is calculated based on precipitation data. The SPI method was chosen in this study because it is widely used in the literature for its simplicity, flexibility, and effectiveness in characterizing drought duration and intensity. There are different classifications for drought severity in the SPI method. Therefore, it is of great importance to know the individual trends for each classification. Classical trend detection methods (such as Mann-Kendall) require a separate analysis for each drought classification. However, with Sen's Innovative Trend Analysis (ITA) method, it becomes possible to determine the trends for all drought classifications on a single graph. In this way, the change of drought events over time can be easily determined for all drought classifications. en_US
dc.description.woscitationindex Science Citation Index Expanded
dc.identifier.doi 10.1680/jwama.23.00026
dc.identifier.endpage 71 en_US
dc.identifier.issn 1741-7589
dc.identifier.issn 1751-7729
dc.identifier.issue 1 en_US
dc.identifier.scopus 2-s2.0-85201161019
dc.identifier.scopusquality Q3
dc.identifier.startpage 62 en_US
dc.identifier.uri https://doi.org/10.1680/jwama.23.00026
dc.identifier.uri https://hdl.handle.net/20.500.14720/11303
dc.identifier.volume 178 en_US
dc.identifier.wos WOS:001288104500001
dc.identifier.wosquality Q4
dc.institutionauthor Aydin, Mahsum
dc.language.iso en en_US
dc.publisher Emerald Group Publishing Ltd en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Innovative Trend Analysis en_US
dc.subject Drought Trend en_US
dc.subject Standard Precipitation Index en_US
dc.subject Central Park en_US
dc.subject Un Sdg 13 en_US
dc.title The Procedure of Detecting Drought Trend by Using Sen's Innovative Trend Analysis Methodology en_US
dc.type Article en_US

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