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Assessing spatial variability and trends of droughts in Eastern Algeria using SPI, RDI, PDSI, and MedPDSI—A novel drought index using the FAO56 evapotranspiration method

2023-02Artigo científico Acesso aberto
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dc.contributor.authorMerabti, Abdelaaziz
dc.contributor.authorDarouich, Hanaa
dc.contributor.authorParedes, Paula
dc.contributor.authorMeddi, Mohamed
dc.contributor.authorPereira, L.S.
dc.date.accessioned2023-12-22T11:01:52Z
dc.date.available2023-12-22T11:01:52Z
dc.date.issued2023-02
dc.description.abstractDrought is one of the most severe natural disasters worldwide, but with a particular emphasis in sub-humid and semi-arid climates. Several indices have been created to appropriately identify drought’s characteristics and variability. The main objectives of this study consisted of analyzing the behavior of different indices applied in northeast Algeria and comparing them across a long-term data set (1961–2014). The SPI and RDI at 9-month time scales were compared to the PDSI and MedPDSI based on 123 rainfall stations and gridded PET data interpolated to all the locations. A principal component analysis (PCA) in S-mode with varimax rotation (RPC) was applied to the monthly values of all indices to analyze the spatiotemporal patterns of droughts. Two principal components were retained, which identified two sub-regions with coherent differences related to their distance from the Mediterranean Sea and the UNEP aridity index. Trends in the RPC scores were assessed using the modified Mann–Kendall (MMK) test and Sen’s slope estimator, which showed a fundamental difference between the two sub-regions. The RPC of all drought indices showed trends of decreases in the frequency and severity of droughts in the northern sub-region, and trends of increases in the frequency and severity of droughts in the southern region, where the climate is mostly semi-arid and arid. Only a few cases were statistically significant, mostly when using the PDSI and MedPDSI for the southern sub-region. The spatial patterns of moderate, severe, and extreme drought occurrences were similar for the SPI and RDI pair of indices based on the probability of rainfall anomalies, and for the Sc-PDSI and MedPDSI pair based on water balance anomalies. The interpretation of the spatial variability of droughts, mainly of the extreme ones, was supported by an analysis of semi-variograms. The novel index MedPDSI compared well with the other indices and showed advantages of performing the soil water balance following the FAO56 dual Kc method with the actual olive evapotranspiration instead of PET, and of better explaining the spatial variability of extreme droughts; in addition, the trends detected were significant for both the northern and southern sub-regions.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMerabti, A.; Darouich, H.; Paredes, P.; Meddi, M.; Pereira, L.S. Assessing spatial variability and trends of droughts in Eastern Algeria using SPI, RDI, PDSI, and MedPDSI—A novel drought index using the FAO56 evapotranspiration method. Water 2023, 15, 626pt_PT
dc.identifier.doidoi.org/10.3390/w15040626pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/29665
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationLinking Landscape, Environment, Agriculture and Food
dc.relationLinking Landscape, Environment, Agriculture and Food
dc.relationNot Available
dc.relationNot Available
dc.relation.publisherversionhttps://www.mdpi.com/journal/waterpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectdrought patternspt_PT
dc.subjecttrendspt_PT
dc.subjectPDSIpt_PT
dc.subjectMedPDSIpt_PT
dc.subjectSPIpt_PT
dc.subjectRDIpt_PT
dc.subjectAlgeriapt_PT
dc.titleAssessing spatial variability and trends of droughts in Eastern Algeria using SPI, RDI, PDSI, and MedPDSI—A novel drought index using the FAO56 evapotranspiration methodpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleLinking Landscape, Environment, Agriculture and Food
oaire.awardTitleLinking Landscape, Environment, Agriculture and Food
oaire.awardTitleNot Available
oaire.awardTitleNot Available
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04129%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04129%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F01153%2F2017%2FCP1430%2FCT0002/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/DL 57%2F2016/DL 57%2F2016%2FCP1382%2FCT0022/PT
oaire.citation.issue4pt_PT
oaire.citation.startPage626pt_PT
oaire.citation.titleWaterpt_PT
oaire.citation.volume15pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamCEEC IND 2017
oaire.fundingStreamDL 57/2016
person.familyNameDarouich
person.familyNameParedes
person.givenNameHanaa
person.givenNamePaula
person.identifier.ciencia-id5D13-DECD-D29D
person.identifier.ciencia-idEC14-3F53-471D
person.identifier.orcid0000-0001-8811-1175
person.identifier.orcid0000-0001-5609-0234
person.identifier.ridF-9463-2010
person.identifier.scopus-author-id25923078000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication2f3da168-54c0-4b69-8d21-0db117ba3530
relation.isAuthorOfPublication8246248d-9151-4403-9fcc-72d61f999151
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