Meteorological Drought Assessment and Trend Analysis in Puntland Region of Somalia

dc.contributor.author Nur Mohamed Muse
dc.contributor.author Gokmen Tayfur
dc.contributor.author Mir Jafar Sadegh Safari
dc.date JUL
dc.date.accessioned 2025-10-06T16:21:00Z
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.
dc.identifier.doi 10.3390/su151310652
dc.identifier.issn 2071-1050
dc.identifier.uri http://dx.doi.org/10.3390/su151310652
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/6642
dc.language.iso English
dc.publisher MDPI
dc.relation.ispartof Sustainability
dc.source SUSTAINABILITY
dc.subject deciles drought index, discrepancy precipitation index, drought, percentage of normal index, Somalia, standardized precipitation index
dc.subject PRECIPITATION, VARIABILITY
dc.title Meteorological Drought Assessment and Trend Analysis in Puntland Region of Somalia
dc.type Article
dspace.entity.type Publication
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gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.startpage 10652
gdc.description.volume 15
gdc.identifier.openalex W4383551139
gdc.index.type WoS
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.impulse 25.0
gdc.oaire.influence 3.6990484E-9
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gdc.oaire.keywords deciles drought index; discrepancy precipitation index; drought; percentage of normal index; Somalia; standardized precipitation index
gdc.oaire.popularity 2.0289779E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0207 environmental engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 01 natural sciences
gdc.oaire.sciencefields 0105 earth and related environmental sciences
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gdc.opencitations.count 19
gdc.plumx.mendeley 52
gdc.plumx.scopuscites 22
gdc.virtual.author Safari, Mir Jafar Sadegh
person.identifier.orcid TAYFUR- GOKMEN/0000-0001-9712-4031, Safari- Mir Jafar Sadegh/0000-0003-0559-5261
publicationissue.issueNumber 13
publicationvolume.volumeNumber 15
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