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Comparación de índices de sequía univariables y multivariables basados en datos satelitales para la monitorización de sequías hidrológicas en el ARA Sur, Mozambique

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Comparación de índices de sequía univariables y multivariables basados en datos satelitales para la monitorización de sequías hidrológicas en el ARA Sur, Mozambique

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dc.contributor.author Araneda-Cabrera, Ronnie J. es_ES
dc.contributor.author Bermúdez, María es_ES
dc.contributor.author Puertas, Jerónimo es_ES
dc.contributor.author Penas, Víctor es_ES
dc.coverage.spatial east=35.529562; north=-18.665695; name=Mozambique es_ES
dc.date.accessioned 2022-09-07T08:08:43Z
dc.date.available 2022-09-07T08:08:43Z
dc.date.issued 2022-07-29
dc.identifier.issn 1134-2196
dc.identifier.uri http://hdl.handle.net/10251/185471
dc.description.abstract [EN] Drought is a natural phenomenon that affects socio-economic and environmental systems, so monitoring it is crucial to minimize its impacts. In Mozambique, in southern Africa, 70% of the population depends on agriculture for subsistence, and water for this activity is mostly extracted directly from rivers. In this paper we have compared several univariate and multivariate drought indices calculated with variables from satellite databases to define one that best fits the hydrological drought conditions in the watersheds of the Southern ARA of Mozambique. The hydrological conditions were defined using the Standardized Runoff Index 3-month cumulative (SRI-3). Using cross-correlations and linear and non-linear regression models, it was found that the Standardized Precipitation Index 3-month cumulative (SPI-3) could be used to monitor hydrological droughts in this region in (near) real time. es_ES
dc.description.abstract [ES] La sequía es un fenómeno natural que afecta a los sistemas socioeconómicos y medioambientales por lo que su monitorización es clave para minimizar sus impactos. En Mozambique, en el sur de África el 70% de la población depende la agricultura para sobrevivir, y el agua para esta actividad se extrae mayoritariamente directo de los ríos. En este trabajo hemos comparado varios índices de sequía univariables y multivariables calculados con variables provenientes de bases de datos satelitales para definir uno que mejor se ajuste a las condiciones de sequía hidrológica en las cuencas hidrográficas del ARA Sur de Mozambique. Las condiciones hidrológicas se definieron con el Índice Estandarizado de Escorrentía acumulado 3 meses (SRI-3). Mediante relaciones cruzadas y modelos de regresión lineales y no lineales se encontró que el Índice Estandarizado de Precipitación acumulado 3 meses (SPI-3) podría usarse para monitorizar las sequías hidrológicas en esta región en tiempo (casi) real. es_ES
dc.description.sponsorship Este trabajo fue realizado en el marco del proyecto AquaMoz-Secara Fase 2, financiado por Augas de Galicia y la Dirección Xeral de Relacións Exteriores y con la Unión Europea de la Xunta de Galicia. es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Ingeniería del Agua es_ES
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Hydrological droughts es_ES
dc.subject Remote sensing es_ES
dc.subject Mozambique es_ES
dc.subject Southern ARA es_ES
dc.subject SPI es_ES
dc.subject Regression models es_ES
dc.subject Sequías hidrológicas es_ES
dc.subject Teledetección es_ES
dc.subject ARA Sur es_ES
dc.subject Modelos de regresión es_ES
dc.title Comparación de índices de sequía univariables y multivariables basados en datos satelitales para la monitorización de sequías hidrológicas en el ARA Sur, Mozambique es_ES
dc.title.alternative Comparison of univariate and multivariate drought indices based on satellite data for hydrological drought monitoring in the Southern ARA, Mozambique es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/ia.2022.18037
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Araneda-Cabrera, RJ.; Bermúdez, M.; Puertas, J.; Penas, V. (2022). Comparación de índices de sequía univariables y multivariables basados en datos satelitales para la monitorización de sequías hidrológicas en el ARA Sur, Mozambique. Ingeniería del Agua. 26(3):217-229. https://doi.org/10.4995/ia.2022.18037 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/ia.2022.18037 es_ES
dc.description.upvformatpinicio 217 es_ES
dc.description.upvformatpfin 229 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 26 es_ES
dc.description.issue 3 es_ES
dc.identifier.eissn 1886-4996
dc.relation.pasarela OJS\18037 es_ES
dc.contributor.funder Augas de Galicia es_ES
dc.contributor.funder Xunta de Galicia es_ES
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