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Meteorological Drought Assessment and Trend Analysis in Puntland Region of Somalia

dc.contributor.author Muse, Nur Mohamed
dc.contributor.author Tayfur, Gökmen
dc.contributor.author Safari, Mir Jafar Sadegh
dc.contributor.other 03.03. Department of Civil Engineering
dc.contributor.other 03. Faculty of Engineering
dc.contributor.other 01. Izmir Institute of Technology
dc.date.accessioned 2023-10-03T07:15:23Z
dc.date.available 2023-10-03T07:15:23Z
dc.date.issued 2023
dc.description.abstract Drought assessment and trend analysis of precipitation and temperature time series are essential in the planning and management of water resources. Long-term precipitation and temperature historical records (monthly for 41 years, from 1980 to 2020) are used to investigate annual drought characteristics and trend analysis in Somalia's northern region. Six drought indices of the normal Standardized Precipitation Index (normal-SPI), the log normal Standardized Precipitation Index (log-SPI), the Standardized Precipitation Index using the gamma distribution (Gamma-SPI), the Percent of Normal Index (PNI), the Discrepancy Precipitation Index (DPI), and the Deciles Index (DI) are used in this study for the annual drought assessment. The log-SPI, the gamma-SPI, the PNI, and the DPI could capture historical extreme and severe droughts that occurred in the early 1980s and over the last two decades. The results indicate that Somalia has gone through extended drought periods over the past quarter century, exacerbating the existing humanitarian situation. The normal-SPI, gamma-SPI, and PNI indicate less and moderate drought conditions, whereas log-SPI, DPI, and DI accurately capture historical extreme and severe drought periods; thus, these methods are recommended as annual drought assessment tools in the studied region. Not only are the PNI and DPI less correlated to each other, but their correlation coefficient (CC) with SPI-based drought indices are not as high as SPI-based indices which are close to unity. For the purpose of the trend analysis, the Mann Kendall (MK) test, the Spearman's rho (SR) test, and the Sen test are used. Furthermore, the Pettitt test is implemented to detect the change points and the Thiel-Sen approach is used to estimate the magnitude of trend in the precipitation and temperature time series. The results indicate that there is overall warming in the region which has experienced a significant shift in trend direction since 2000. The trend analysis of annual precipitation data time series shows that Bossaso and Garowe stations have significant positive trends, while the Qardho station has no trend. In 1997 and 1998, respectively, abrupt changes in annual precipitation are detected at Qardho and Garowe stations. Due to the civil war of more than three decades in Somalia and the non-institutionalized governance to inform historical drought conditions in the country, determining the most appropriate meteorological drought index would help to develop a drought monitoring system for states and the entire country. en_US
dc.identifier.doi 10.3390/su151310652
dc.identifier.issn 2071-1050
dc.identifier.scopus 2-s2.0-85164977121
dc.identifier.uri https://doi.org/10.3390/su151310652
dc.identifier.uri https://hdl.handle.net/11147/13749
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.relation.ispartof Sustainability en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Deciles drought index en_US
dc.subject Discrepancy precipitation index en_US
dc.subject Drought en_US
dc.subject Percentage of normal index en_US
dc.subject Somalia en_US
dc.title Meteorological Drought Assessment and Trend Analysis in Puntland Region of Somalia en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id 0000-0001-9712-4031
gdc.author.institutional Tayfur, Gökmen
gdc.author.scopusid 58489611500
gdc.author.scopusid 6701638605
gdc.author.scopusid 56047228600
gdc.author.wosid Safari, Mir Jafar Sadegh/A-4094-2019
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.description.department İzmir Institute of Technology. Civil Engineering en_US
gdc.description.issue 13 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.volume 15 en_US
gdc.description.wosquality Q2
gdc.identifier.openalex W4383551139
gdc.identifier.wos WOS:001028204100001
gdc.openalex.fwci 3.532
gdc.openalex.normalizedpercentile 1.0
gdc.openalex.toppercent TOP 1%
gdc.opencitations.count 15
gdc.scopus.citedcount 17
gdc.wos.citedcount 13
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