Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/113373
DC Field | Value | Language |
---|---|---|
dc.contributor.author | de Barros de Sousa, Lizandra | - |
dc.contributor.author | de Assunção Montenegro, Abelardo Antônio | - |
dc.contributor.author | da Silva, Marcos Vinícius | - |
dc.contributor.author | Almeida, Thayná Alice Brito | - |
dc.contributor.author | de Carvalho, Ailton Alves | - |
dc.contributor.author | da Silva, Thieres George Freire | - |
dc.contributor.author | Lima, João L. M .P. de | - |
dc.date.accessioned | 2024-02-19T10:17:43Z | - |
dc.date.available | 2024-02-19T10:17:43Z | - |
dc.date.issued | 2023 | - |
dc.identifier.issn | 2072-4292 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/113373 | - |
dc.description.abstract | Precipitation estimation is a challenging task, especially in regions where its spatial distribution is irregular and highly variable. This study evaluated the spatial distribution of annual rainfall in a semiarid Brazilian basin under different regimes and its impact on land use and land cover dynamics. Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) records and observed data from 40 weather stations over a time series of 55 years were used, in addition to the Standardized Precipitation Index. Spatiotemporal analysis was carried out based on geostatistics. Remote sensing images were also interpreted for different rainfall regimes using the Normalized Difference Vegetation Index and Modified Normalized Difference Water Index. The Gaussian semivariogram model best represented the rainfall spatial structure, showing strong spatial dependence. Results indicated that rainfall amount in the basin significantly increases with elevation, as expected. There is high variation in the dynamics of water storage that can threaten water security in the region. Our findings point out that the application of geostatistics for mapping both the annual precipitation and the Standardized Precipitation Index provides a powerful framework to support hydrological analysis, as well as land use and land cover management in semiarid regions. | pt |
dc.language.iso | eng | pt |
dc.publisher | MDPI | pt |
dc.relation | The Coordination for the Improvement of Higher Education Personnel (CAPES), the Foundation for the Support of Science and Technology of the State of Pernambuco (FACEPE— APQ-0300-5.03/17 and IBPG-0855-5.03/20), the National Council for Scientific and Technological Development (CNPq—308890/2018-3; 140281/2022-3), and the CAPES-PrInt/UFRPE financed and provided scholarships. | pt |
dc.relation | UIDB/04292/2020 | pt |
dc.relation | UIDP/04292/2020 | pt |
dc.relation | LA/P/0069/2020 | pt |
dc.rights | openAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt |
dc.subject | spatial dependence | pt |
dc.subject | temporal variability | pt |
dc.subject | sequential Gaussian simulation | pt |
dc.subject | kriging | pt |
dc.subject | cokriging | pt |
dc.subject | CHIRPS | pt |
dc.title | Spatiotemporal Analysis of Rainfall and Droughts in a Semiarid Basin of Brazil: Land Use and Land Cover Dynamics | pt |
dc.type | article | - |
degois.publication.firstPage | 2550 | pt |
degois.publication.issue | 10 | pt |
degois.publication.title | Remote Sensing | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.3390/rs15102550 | pt |
degois.publication.volume | 15 | pt |
dc.date.embargo | 2023-01-01 | * |
uc.date.periodoEmbargo | 0 | pt |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.fulltext | Com Texto completo | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | article | - |
crisitem.author.researchunit | MARE - Marine and Environmental Sciences Centre | - |
crisitem.author.orcid | 0000-0002-0135-2249 | - |
Appears in Collections: | FCTUC Eng.Civil - Artigos em Revistas Internacionais I&D MARE - Artigos em Revistas Internacionais |
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File | Description | Size | Format | |
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Spatiotemporal-Analysis-of-Rainfall-and-Droughts-in-a-Semiarid-Basin-of-Brazil-Land-Use-and-Land-Cover-DynamicsRemote-Sensing.pdf | 9.16 MB | Adobe PDF | View/Open |
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This item is licensed under a Creative Commons License