Coping With Floods 1994
DOI: 10.1007/978-94-011-1098-3_8
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Regional flood estimation methods

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Cited by 22 publications
(24 citation statements)
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“…Figure 10 shows the relative changes in the estimated return period of a 20 year return period flood peak when neglecting the contribute of the forest cover, as function of the forest cover fraction S b scaled by the dimensionless number C L h A,T (t c )/V b,T , for a generic catchment with a dimensionless flood growth factor as defined for the Campania region (Rossi and Villani, 1992). For example, neglecting the effect of a 30 % (scaled) forest cover fraction can lead to underestimating the corresponding return period by almost 3 times, i.e.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Figure 10 shows the relative changes in the estimated return period of a 20 year return period flood peak when neglecting the contribute of the forest cover, as function of the forest cover fraction S b scaled by the dimensionless number C L h A,T (t c )/V b,T , for a generic catchment with a dimensionless flood growth factor as defined for the Campania region (Rossi and Villani, 1992). For example, neglecting the effect of a 30 % (scaled) forest cover fraction can lead to underestimating the corresponding return period by almost 3 times, i.e.…”
Section: Discussionmentioning
confidence: 99%
“…Other indirect methods provide an estimate of the flood index based on a conceptual description of the hydrological response of the basin to intense rainfall events. Within the flood assessment procedures employed in Italy, an indirect estimation method largely applied is based on a conceptual model structured according to the well-known rational formula (Rossi and Villani, 1992). Other conceptual approaches have been also proposed, based on an analytical derivation of the probability distribution of floods (e.g.…”
Section: F Preti Et Al: Forest Cover Influence On Regional Flood Frmentioning
confidence: 99%
“…Data used for Fig. 1 can be found in Wenzel (1982), Iida (2004), Rossi and Villani (1994), Brutsaert (2005), Elsebaie (2012), Chang et al (2015), Rasel and Hossain (2015), Van de Vyver (2015) and Damé et al (2016). Data used for Fig.…”
Section: Concluding Remarks and Outlookmentioning
confidence: 99%
“…Examples of intensity-duration-frequency curves for a 10-year return period (1-9) and curve of the maximum observed precipitation (10). Location and source: 1 -Najran region, Saudi Arabia (Elsebaie, 2012); 2 -Uccle, Belgium (Van de Vyver, 2015); 3 -Naples, Italy (Rossi and Villani, 1994); 4 -Los Angeles, California (Wenzel, 1982); 5 -Pelotas, Brazil (Damé et al, 2016); 6 -New York (Wenzel, 1982); 7 -Hamada, Japan (Iida, 2004); 8 -Selangor, Malaysia (Chang et al, 2015); 9 -Sylhet, Bangladesh (Rasel and Hossain, 2015); 10 -greatest known observed point rainfall (Brutsaert, 2005).…”
mentioning
confidence: 99%
“…Besides this, since the years '80s and '90s in Southern Italy regional analysis for flood prediction and flood frequency analysis has been applied, using methods based on the index flood approach and regional growth curves on homogeneous areas (e.g. Rossi and Villani, 1992). Today, this kind of approach still represents the most robust methodology for flood prediction in ungauged basins but it shows two main strong limitations.…”
Section: Introductionmentioning
confidence: 99%