Influence of infiltration and soil storage capacity on the skewness of the annual maximum flood peaks in a theoretically derived distribution

Abstract

Abstract. Understanding the spatial variability of key parameters of flood probability distributions represents a strategy to provide insights on hydrologic similarity and building probabilistic models able to reduce the uncertainty in flood prediction in ungauged basins. In this work, we exploited the theoretically derived distribution of floods model TCIF (Two Component Iacobellis and Fiorentino model; Gioia et al., 2008), based on two different threshold mechanisms associated to ordinary and extraordinary events. The model is based on the hypotheses that ordinary floods are generally due to rainfall events exceeding a constant infiltration rate in a small source area, while the so-called outlier events responsible for the high skewness of flood distributions are triggered when severe rainfalls exceed a storage threshold over a large portion of the basin. Within this scheme, a sensitivity analysis was performed with respect to climatic and geomorphologic parameters in order to analyze the effects on the skewness coefficient and provide insights in catchment classification and process conceptualization. The analysis was conducted to investigate the influence on flood distribution of physical factors such as rainfall intensity, basin area, and particular focus on soil behavior.

Flood frequency under the influence of trends in the Pearl River basin, China: changing patterns, causes and implications

“…To explore trends in annual maximum flood series and their consequence on flood frequency analyses, it is necessary to assume a probabilistic model which describes the relationship between the magnitude and frequency of annual. There are many studies concerning the flood frequency analysis (Eagleson, ; De Michele and Salvadori, ; Franchini et al ., ; Iacobellis et al ., ; Vogel et al ., ; Gioia et al ., ), such as that De Michele and Salvadori () derived an analytical formulation of peak flood and maximum annual peak flood; Iacobellis et al . () presented a regional probabilistic model for the estimation of medium–high return period flood quantiles.…”

Durum Wheat Cover Analysis in the Scope of Policy and Market Price Changes: A Case Study in Southern Italy

“…The sowing date for the tomatoes is generally in late April or after the harvesting of durum wheat in the rotation. A marked differentiation exists between seasonal and permanent vegetation (for instance between winter wheat and olives) [45]. During the winter season, the watershed is covered almost completely by rainfed cereal durum wheat.…”

Reservoir Routing on Double-Peak Design Flood

“…The assumption that the rainfall event duration is equal to the basin lag-time t r is supported by Fiorentino et al [44], who showed that, under different choices of the basin hydrologic response function, the critical duration approaches the lag time; the hypothesis that the time variability of the rainfall intensity can be neglected (e.g., [45][46][47][48][49]) within the critical duration is supported by the above quoted observation, considering that an event with a constant rainfall intensity, during the lag-time, is more precautionary with respect to other kinds of design hyetographs which include rainfall variability. Moreover, the context of application of the proposed model does not require the evaluation of the effects of the rainfall peak propagation as in urban contexts where the rainfall variability is more likely conditioning.…”