Application of Signal Processing in Tracking Meteorological Drought in a Mountainous Region

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dc.authorid0000-0002-4767-6660en_US
dc.authorscopusid57113743700en_US
dc.contributor.authorVaheddoost, Babak
dc.contributor.authorSafari M.J.S.
dc.date.accessioned2022-04-01T12:04:20Z
dc.date.available2022-04-01T12:04:20Z
dc.date.issued2021en_US
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.description.abstractThis study addresses the application of signal processing in the evaluation of meteorological drought associated with monthly precipitation time series. Several drought indices and a Haar wavelet decomposition (WD) with ten components are implemented in the evaluation of the monthly precipitation of a mountainous region called Mount Uludag in Turkey. Monthly precipitation time series in three meteorological stations at the summit and foothills are used. The Standardized Precipitation Index (SPI) is used at monthly, annual, and 12- and 48-month moving average time frames as the benchmark to investigate the drought patterns. The results obtained by the WD and SPI are then confirmed using the Z-score index (ZSI) at monthly and annual scales, together with the modified China Z-index (MCZI) and rainfall anomaly index (RAI) at a monthly scale. Changes in the moments of the distribution, correlation analysis, mutual information, and power spectrum are applied to investigate the nature of the relationship between the sequences of precipitation events in time and space. The temporal correlation analysis, together with the mutual information, showed that the system has a short-term memory with strong seasonality. Similarly, the power spectra depicted major seasonality at 1, 3, 5, 6, 12, 22, and 60 months in the precipitation time series. It is concluded that the recent drought events have an infrequent nature, which altered the sinusoidal patterns of the large-scale events. The SPI-48 and the WD showed that declines are strongly related to the large-scale cycles, but the decline patterns are more related to the station located at the mountain summit.en_US
dc.identifier.doi10.1007/s00024-021-02737-8en_US
dc.identifier.endpage1957en_US
dc.identifier.issn00334553
dc.identifier.issue5en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1943en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1846
dc.identifier.volume178en_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorVaheddoost, Babak
dc.language.isoenen_US
dc.publisherBirkhauseren_US
dc.relation.ispartofPure and Applied Geophysicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDroughten_US
dc.subjectMount Uludagen_US
dc.subjectRAIen_US
dc.subjectSignal processingen_US
dc.subjectSPIen_US
dc.subjectZ-scoreen_US
dc.titleApplication of Signal Processing in Tracking Meteorological Drought in a Mountainous Regionen_US
dc.typeArticleen_US

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