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.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. https://doi.org/10.4995/ia.2016.4176 |
es_ES |
dc.description.accrualMethod |
SWORD |
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 |
|
dc.contributor.funder |
Xunta de Galicia |
es_ES |
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