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Spatiotemporal variability analysis of standardized precipitation indexed droughts using wavelet transform

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dc.citedby6
dc.contributor.authorChong K.L.en_US
dc.contributor.authorHuang Y.F.en_US
dc.contributor.authorKoo C.H.en_US
dc.contributor.authorNajah Ahmed A.en_US
dc.contributor.authorEl-Shafie A.en_US
dc.contributor.authorid57208482172en_US
dc.contributor.authorid55807263900en_US
dc.contributor.authorid57204843657en_US
dc.contributor.authorid57214837520en_US
dc.contributor.authorid16068189400en_US
dc.date.accessioned2023-05-29T09:38:24Z
dc.date.available2023-05-29T09:38:24Z
dc.date.issued2022
dc.descriptionK-means clustering; Risk management; Stream flow; Testing; Wavelet transforms; Continuous wavelet transform; K-means++ clustering; Malaysia; Mann-Kendall test; Sarawak; Spatiotemporal variability; Spearman's rho; Standardized precipitation index; Drought; hydrometeorology; index method; precipitation (chemistry); precipitation (climatology); spatiotemporal analysis; wavelet analysis; East Malaysia; Malaysia; Sabah; Sarawaken_US
dc.description.abstractStatistical drought characterization is critical for drought studies within the multivariate temporal and frequency domains. An efficient drought management can result in improved drought preparedness and risk management. In this study, Standardized precipitation indices (SPIs) over various timeframes were derived using precipitation data. The historical data for the hydrological stations and meteorological stations in Sabah and Sarawak, Malaysia were courtesy of the Department of Irrigation and Drainage, Malaysia. Based on the SPI index, the meteorological drought trends, periodicities, and the turning points were analysed using the Mann-Kendall (MK) test, Spearman rho (SR) test, sequential Mann-Kendall (SQMK) test, k-means clustering algorithm, and the Continuous wavelet transform (CWT). The MK and SR test were applied on a decade interval, for a period of years from 1989 to 2018. According to the findings, it was observed that there was a declining tendency shifting from the east to the west in Sabah, whereas in Sarawak, there was observed a declining trend across the state, particularly in its central area. The underlying trend of the droughts in Sabah reveals that the dominant periodicity of the SPI series that persisted throughout the study period at the Sabah stations varied between 2.5 and 5.5 years. However, the periodicity in Sarawak did not vary as much as it did in Sabah. The wavelet coherence analysis also reveals that significant coherence between SPI and climatic indices occurred intermittently for shorter periodicities. Furthermore, the longer dominating periodicities were shown to be associated with one or more climate phenomena. � 2021 Elsevier B.V.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo127299
dc.identifier.doi10.1016/j.jhydrol.2021.127299
dc.identifier.scopus2-s2.0-85121595318
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85121595318&doi=10.1016%2fj.jhydrol.2021.127299&partnerID=40&md5=fe00b5001584b5af6807efed6a9474d2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26985
dc.identifier.volume605
dc.publisherElsevier B.V.en_US
dc.sourceScopus
dc.sourcetitleJournal of Hydrology
dc.titleSpatiotemporal variability analysis of standardized precipitation indexed droughts using wavelet transformen_US
dc.typeArticleen_US
dspace.entity.typePublication
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