Evaluation and Assessment of Meteorological Drought by Different Methods in Trarza Region, Mauritania

dc.contributor.author Yacoub, Ely
dc.contributor.author Tayfur, Gökmen
dc.coverage.doi 10.1007/s11269-016-1510-8
dc.date.accessioned 2017-10-10T12:13:35Z
dc.date.available 2017-10-10T12:13:35Z
dc.date.issued 2017
dc.description.abstract Drought Indexes (DIs) are commonly used for assessing the effect of drought such as the duration and severity. In this study, long term precipitation records (monthly recorded for 44 years) in three stations (Boutilimit (station 1), Nouakchott (station 2), and Rosso (station 3)) are employed to investigate the drought characteristics in Trarza region in Mauritania. Six DI methods, namely normal Standardized Precipitation Index (normal-SPI), log normal Standardized Precipitation Index (log-SPI), Standardized Precipitation Index using Gamma distribution (Gamma-SPI), Percent of Normal (PN), the China-Z index (CZI), and Deciles are used for this purpose. The DI methods are based on 1-, 3-, 6-, and 12 month time periods. The results showed that DIs produce almost the same results for the Trarza region. The droughts are detected in the seventies and eighties more than the 1990s. Twelve drought years might be experienced in station 2 and six in stations 1 and 3 in every 44 years, according to reoccurrence probability of the gamma-SPI and log-SPI results. Stations 1 and 3 might experience fewer drought years than station 2, which is located right on the coast. In station 1, which is located inland, when the annual rainfall is less than 123 mm, it is likely that severe drought would occur. This is 63 mm/year for station 2 and 205 mm/year for station 3 which is located in the south west on the Senegal River. DI results indicate that the CZI and the gamma-SPI methods make similar predictions and the log-SPI makes extreme drought predictions for the monthly period for all the stations. For longer periods (3-, 6-, and 12 month period), for all the stations, the log-SPI and the gamma-SPI produce similar results, making severe drought predictions while the normal-SPI and the CZI methods predict more wet and fewer drought cases. The log-SPI, the gamma-SPI, PN and Deciles were able to capture the historical extreme and severe droughts observed in early 1970s and early 1980s. en_US
dc.identifier.citation Yacoub, E., and Tayfur, G. (2017). Evaluation and assessment of meteorological drought by different methods in Trarza Region, Mauritania. Water Resources Management, 31(3), 825-845. doi:10.1007/s11269-016-1510-8 en_US
dc.identifier.doi 10.1007/s11269-016-1510-8 en_US
dc.identifier.doi 10.1007/s11269-016-1510-8
dc.identifier.issn 0920-4741
dc.identifier.issn 1573-1650
dc.identifier.scopus 2-s2.0-84991011023
dc.identifier.uri http://doi.org/10.1007/s11269-016-1510-8
dc.identifier.uri https://hdl.handle.net/11147/6329
dc.language.iso en en_US
dc.publisher Springer Verlag en_US
dc.relation.ispartof Water Resources Management en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Trarza Region en_US
dc.subject Mauritania en_US
dc.subject Standardized precipitation index en_US
dc.subject Drought analysis en_US
dc.subject Precipitation en_US
dc.subject Deciles en_US
dc.title Evaluation and Assessment of Meteorological Drought by Different Methods in Trarza Region, Mauritania en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Tayfur, Gökmen
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Civil Engineering en_US
gdc.description.endpage 845 en_US
gdc.description.issue 3 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 825 en_US
gdc.description.volume 31 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W2530795220
gdc.identifier.wos WOS:000395000500007
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype BRONZE
gdc.oaire.diamondjournal false
gdc.oaire.impulse 8.0
gdc.oaire.influence 5.220997E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Trarza Region
gdc.oaire.keywords Mauritania
gdc.oaire.keywords Standardized precipitation index
gdc.oaire.keywords Drought analysis
gdc.oaire.keywords Precipitation
gdc.oaire.keywords Deciles
gdc.oaire.popularity 3.39544E-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
gdc.openalex.collaboration National
gdc.openalex.fwci 2.06979074
gdc.openalex.normalizedpercentile 0.89
gdc.opencitations.count 44
gdc.plumx.crossrefcites 5
gdc.plumx.mendeley 57
gdc.plumx.scopuscites 51
gdc.scopus.citedcount 51
gdc.wos.citedcount 45
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