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No. de sistema: 000059302

LDR _ _ 00000nab^^22^^^^^za^4500
008 _ _ 190110m20189999xx^^r^p^o^^^^z0^^^a0eng^d
040 _ _ a| ECO
c| ECO
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245 0 2 a| A framework approach for unravelling the impact of multiple factors influencing flooding
506 _ _ a| Disponible para usuarios de ECOSUR con su clave de acceso
520 1 _ a| To have a better understanding of the in fluence of topographic, climatic, and, especially, anthropogenic factors on hydrological discharge and flooding, this study proposes a new framework approach using a set of methods to answer the questions why, where, when, and how flooding occurs. Including conditional inference tree (CIT), cross-correlation, and double-mass curves analysis, the approach is demonstrated in an application to the Wei River Basin, China. From the CIT analysis, dam construction period was identified as the most important factor (why), and the sub-catchment farthest upstream contributed the most to the flooding of the downstream floodplain (where). We then analysed the effect of the periods of dam construction on the time lag change (when) and the precipitation – discharge relationship (how) using cross-correlation analysis and double-mass curves analysis, respectively. The results suggested that the dam construction delayed the precipitation for 0.4 days on average compared to before the dam construction period, and the discharge at the outlet of the basin was reduced by 44%. This framework approach is promising as it can quantitatively evaluate the importance of multiple factors on multiple years of flooding, while many studies evaluate single flooding events.
530 _ _ a| Disponible en línea
533 _ _ a| Reproducción electrónica en formato PDF
538 _ _ a| Adobe Acrobat profesional 6.0 o superior
650 _ 4 a| Inundaciones
650 _ 4 a| Construcción de presas
650 _ 4 a| Evaluación de riesgos
650 _ 4 a| Análisis cuantitativo
651 _ 4 a| Cuenca del Río Wei (China)
700 1 _ a| Gai, Lingtong
e| autora
700 1 _ a| Baartman, Jantiene E. M.
e| autora
700 1 _ a| Mendoza Carranza, Manuel
c| Dr.
e| autor
700 1 _ a| Wang, Feng
e| autor
700 1 _ a| Ritsema, Coen J.
e| autor
700 1 _ a| Geissen Geissen, Violette
e| autora
773 0 _
t| Journal of Flood Risk Management
g| Vol. 11 (2018), p. 111-126
x| 1753-318X
900 _ _ a| Solicítelo con su bibliotecario/a
901 _ _ a| Artículo con arbitraje
902 _ _ a| BG / MM
904 _ _ a| Enero 2019
905 _ _ a| Artecosur
905 _ _ a| Agua
905 _ _ a| Desastres
905 _ _ a| Biblioelectrónica
LNG eng
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*Solicítelo con su bibliotecario/a
A framework approach for unravelling the impact of multiple factors influencing flooding
Gai, Lingtong (autora)
Baartman, Jantiene E. M. (autora)
Mendoza Carranza, Manuel (autor)
Wang, Feng (autor)
Ritsema, Coen J. (autor)
Geissen Geissen, Violette (autora)
Nota: Disponible en línea
Disponible para usuarios de ECOSUR con su clave de acceso
Contenido en: Journal of Flood Risk Management. Vol. 11 (2018), p. 111-126. ISSN: 1753-318X
No. de sistema: 59302
Tipo: - Artículo con arbitraje
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"To have a better understanding of the in fluence of topographic, climatic, and, especially, anthropogenic factors on hydrological discharge and flooding, this study proposes a new framework approach using a set of methods to answer the questions why, where, when, and how flooding occurs. Including conditional inference tree (CIT), cross-correlation, and double-mass curves analysis, the approach is demonstrated in an application to the Wei River Basin, China. From the CIT analysis, dam construction period was identified as the most important factor (why), and the sub-catchment farthest upstream contributed the most to the flooding of the downstream floodplain (where). We then analysed the effect of the periods of dam construction on the time lag change (when) and the precipitation – discharge relationship (how) using cross-correlation analysis and double-mass curves analysis, respectively. The results suggested that the dam construction delayed the precipitation for 0.4 days on average compared to before the dam construction period, and the discharge at the outlet of the basin was reduced by 44%. This framework approach is promising as it can quantitatively evaluate the importance of multiple factors on multiple years of flooding, while many studies evaluate single flooding events."


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