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Análisis regional de frecuencia de precipitaciones extremas en el Norte de Mozambique

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Análisis regional de frecuencia de precipitaciones extremas en el Norte de Mozambique

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dc.contributor.author Álvarez, M. es_ES
dc.contributor.author Puertas, J. es_ES
dc.contributor.author Peña, E. es_ES
dc.coverage.spatial east=39.32062410000003; north=-12.3335474; name=Cabo Delgado, Moçambic
dc.date.accessioned 2017-01-20T12:29:11Z
dc.date.available 2017-01-20T12:29:11Z
dc.date.issued 2016-01-29
dc.identifier.issn 1134-2196
dc.identifier.uri http://hdl.handle.net/10251/77099
dc.description.abstract [EN] Extreme precipitation events that occur over internal basins of Cabo Delgado (Northern Mozambique) often result in the occurrence of flood events with associated loss of life and infrastructure. This paper presents a study of regional frequency analysis of maximum daily precipitations based on the index flood procedure with estimated parameters by L-moments approach. Observed annual maximum daily precipitation series of 12 stations with records of more than 20 years were analyzed. The discordancy and heterogeneity measures based on the L-moments suggest that the region can be considered as homogeneous. Among the candidate distributions analyzed Monte Carlo simulations identified the Generalized Logistic distribution function as the best regional fit for the region. The achieved results will be useful in hydrologic and hydraulic studies related to floods and floodplain delineation in the region. es_ES
dc.description.abstract [ES] Las precipitaciones extremas que tienen lugar sobre las cuencas internas de Cabo Delgado (Norte de Mozambique) generan eventos de avenidas que provocan anualmente inundaciones que causan cuantiosas pérdidas materiales, económicas y vidas humanas. Se presenta un estudio de análisis regional de frecuencia de precipitaciones máximas basado en el método del índice de avenida con sus parámetros estimados por los L-momentos. Se ha contado con un total de 12 estaciones pluviométricas con registros de observaciones de más de 20 años. Las medidas de discordancia y heterogeneidad basadas en los L-momentos revelaron que la región de estudio puede ser considerada homogénea. De entre las funciones de distribución candidatas analizadas las simulaciones de Monte Carlo identificaron la función de distribución Logística Generalizada como la de mejor ajuste a escala regional. Los resultados obtenidos pueden ser de utilidad en estudios relacionados con las avenidas y delimitación de zonas inundables de la región es_ES
dc.description.sponsorship Los autores desean expresar su agradecimiento a la Xunta de Galicia y Cooperación Galega por la financiación de este estudio que ha sido realizado en el marco del proyecto: “Análise de mapas de inundação e redução de desastres nas bacias internas de Cabo Delgado. Caracterização e fortalecimento institucional em ARA-Norte”. Asimismo agradecen la colaboración prestada por los técnicos del Departamento Técnico de la Administración Regional de Aguas del Norte de Mozambique (ARA-Norte).
dc.language Español es_ES
dc.publisher Universitat Politècnica de València
dc.relation Xunta de Galicia y Cooperación Galega es_ES
dc.relation.ispartof Ingeniería del Agua
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Regional frequency analysis es_ES
dc.subject L-moments es_ES
dc.subject Index flood es_ES
dc.subject Análisis regional de frecuencia es_ES
dc.subject Índice de avenida es_ES
dc.subject L-momentos es_ES
dc.subject Inundaciones es_ES
dc.title Análisis regional de frecuencia de precipitaciones extremas en el Norte de Mozambique es_ES
dc.title.alternative Regional frequency analysis of extremes precipitations in Northern of Mozambique es_ES
dc.type Artículo es_ES
dc.date.updated 2017-01-20T12:21:45Z
dc.identifier.doi 10.4995/ia.2016.4176
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Álvarez, M.; Puertas, J.; Peña, E. (2016). Análisis regional de frecuencia de precipitaciones extremas en el Norte de Mozambique. Ingeniería del Agua. 20(1):28-42. doi:10.4995/ia.2016.4176. es_ES
dc.relation.publisherversion https://doi.org/10.4995/ia.2016.4176 es_ES
dc.description.upvformatpinicio 28 es_ES
dc.description.upvformatpfin 42 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20
dc.description.issue 1
dc.identifier.eissn 1886-4996
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