The paper aims at evaluating to what extent the forest cover can explain the component of runoff coef???cient as de???ned in a regional ???ood frequency analysis based on the application of the rational formula coupled with a regional model of the annual maximum rainfall depths. The analysis is addressed to evaluate the component of the runoff coef???cient which cannot be captured by the catchment lithology alone. Data mining is performed on 75 catchments distributed from South to Central Italy. Cluster and correlation structure analyses are conducted for distinguishing forest cover effects within catchments characterized by hydromorphological similarities. We propose to improve the prediction of the runoff coef???cient by a linear regression model, exploiting the ratio of the forest cover to the catchment critical rainfall depth as dependent variable. The proposed regression enables a signi???cant bias correction of the runoff coef???cient, particularly for those small mountainous catchments, characterised by larger forest cover fraction and lower critical rainfall depth.
Forest cover influence on regional flood frequency assessment in Mediterranean catchments / Preti, F.; Forzieri, G.; Chirico, GIOVANNI BATTISTA. - In: HYDROLOGY AND EARTH SYSTEM SCIENCES. - ISSN 1027-5606. - 15:(2011), pp. 3077-3090. [10.5194/hess-15-3077-2011]
Forest cover influence on regional flood frequency assessment in Mediterranean catchments
CHIRICO, GIOVANNI BATTISTA
2011
Abstract
The paper aims at evaluating to what extent the forest cover can explain the component of runoff coef???cient as de???ned in a regional ???ood frequency analysis based on the application of the rational formula coupled with a regional model of the annual maximum rainfall depths. The analysis is addressed to evaluate the component of the runoff coef???cient which cannot be captured by the catchment lithology alone. Data mining is performed on 75 catchments distributed from South to Central Italy. Cluster and correlation structure analyses are conducted for distinguishing forest cover effects within catchments characterized by hydromorphological similarities. We propose to improve the prediction of the runoff coef???cient by a linear regression model, exploiting the ratio of the forest cover to the catchment critical rainfall depth as dependent variable. The proposed regression enables a signi???cant bias correction of the runoff coef???cient, particularly for those small mountainous catchments, characterised by larger forest cover fraction and lower critical rainfall depth.| File | Dimensione | Formato | |
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