Giovanni Grillone
University of Palermo
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Publication
Featured researches published by Giovanni Grillone.
Journal of Hydrologic Engineering | 2012
Francesco D’Asaro; Giovanni Grillone
AbstractThe curve number (CN) method is widely used as a technique for estimating surface runoff depth from rainstorms. This simply lumped method is based on the main parameter CN, which represents the lumped expression of basin absorption, and on a parameter that represents interception, infiltration during the early part of a storm, and surface depression storage, called initial abstraction. In this paper, CN is evaluated at the basin scale from rainfall-runoff multiday events, in the observation period 1940–1997 (recorded length mean equal to 20xa0years) for 61 Sicilian basins with three different methods: NEH4 method, asymptotic fitting method, and a least-squares method. A first analysis of Sicilian watershed behavior indicates a major occurrence of standard CN response (43 basins), as opposed to a complacent response (10 basins), and a few cases of violent behavior (3 basins). For basins with complacent behavior a modified formula of a runoff CN equation is proposed. The original assumption of the ini...
Journal of Irrigation and Drainage Engineering-asce | 2012
Giovanni Grillone; C. Agnese; F. D’Asaro
AbstractDaily solar radiation Rs at ground level is a necessary input variable required for the evaluation of evapotranspiration and crop growth, development, and yield-simulation models. Nevertheless, it is measured in few weather stations and at many locations it is not observed; also, available Rs temporal series are generally no longer than a few years. A valid surrogate of Rs measurement is the diurnal air-temperature range (ΔT); indeed, ΔT is inversely proportional to cloudiness and therefore could be a good indicator of atmospheric transmittance. As opposed to Rs, daily maximum and minimum air temperatures are measured at many locations and their observations in developed countries began in the 19th century. For this reason, several models that permit Rs indirect evaluation from air-temperature data have been suggested in the literature. The most famous models are the simple Hargreaves-Samani (HS) formula, many times recalibrated by the authors, and the Bristow-Campbell model, which has recently be...
Journal of Hydrologic Engineering | 2014
Francesco D’Asaro; Giovanni Grillone; Richard H. Hawkins
AbstractThe curve number (CN) method is widely used for estimating direct runoff depth from rainstorms. The procedure is on the basis of the parameter CN, a lumped expression of basin absorption and runoff potential, and a second parameter, initial abstraction (IA), which represents the interception, infiltration, and surface depression during the early part of a storm. The evaluation of CN in Sicily at a basin scale from rainfall-runoff multiday events is done using rainfall-runoff observations during the period 1940–1997 (mean record length of 20xa0years) in 61 Sicilian watersheds using three different methods: (1)xa0the national engineering handbook, sectionxa04 hydrology (NEH4) method (NEH4M) (the median CN for the annual flood events); (2)xa0asymptotic fitting of ordered and natural data; and (3)xa0least-squares method using rainfall-runoff using both ordered and natural data. Asymptotic fitting showed a major occurrence of the standard CN response (43 basins), with a lesser complacent response (10 basins), an...
Journal of Irrigation and Drainage Engineering-asce | 2015
Giorgio Baiamonte; Francesco D’Asaro; Giovanni Grillone
AbstractThis work presents a simplified probabilistic-topologic model for reproducing rill network surface runoff on a square-plane hillslope. The model requires only two parameters: the first is related to the production capacity of overland flow of the hillslope, at the initial conditions of the process, and the second depends on the sinuosity of the rill network. From a hydrological point of view, the following parameters account for the effects that essentially delineate the hydrologic response of a natural hillslope: rainfall intensity, hillslope roughness, and slope. Obviously, the reliability of the model is pending experimental validation that has only just begun. However, a preliminary experiment conducted on a 1.0×1.3-m test plot, with variable slope, has produced promising first results.
Journal of Irrigation and Drainage Engineering-asce | 2016
C. Agnese; Giorgio Baiamonte; Francesco D'Asaro; Giovanni Grillone
AbstractIn this work, the probability distribution of peak discharge at the hillslope bottom is determined hypothesizing a prevalent Hortonian mechanism of runoff production for a given rainfall duration. As is well known, the probability distribution of peak discharge depends on the probability of both the rainfall event as well as that of the antecedent soil moisture conditions. In particular, the probability of the rainfall event is calculated according to the familiar rainfall duration–intensity–frequency approach, whereas the ecohydrological method from the literature is used here to define the probability of the antecedent soil moisture conditions. The latter depends on a set of parameters describing the dynamic interactions between average climate, soil and vegetation. By using the Monte Carlo procedure, the peak discharge is derived for a given rainfall duration and for each antecedent moisture condition/rainfall intensity pair from a physical-based model from the literature, by coupling the analy...
Journal of Irrigation and Drainage Engineering-asce | 2016
Francesco D'Asaro; Giovanni Grillone
AbstractFor landslide mitigation purposes, a system of two screen dams was created along the main channel of the Capreria River in Sicily. The de facto constructed wetlands occasioned behind the flow-path barriers produced, for several years, an appreciable reduction of organic load of the upstream municipal wastewaters from the nearby town of Riesi, Italy. This coincidence inspires the prospect of promoting a multifunctional role for these slope-stabilization works, thereby allowing them to be viewed from an intriguing and innovative planning perspective.
American Journal of Applied Sciences | 2014
Giovanni Grillone; Giorgio Baiamonte; Francesco D’Asaro
Journal of The American Water Resources Association | 2015
Francesco D'Asaro; Giovanni Grillone
American Journal of Applied Sciences | 2014
Federico Martinelli; Giovanni Grillone; Filippo Sgroi
Journal of Agricultural Engineering | 2008
Francesco D’Asaro; Giovanni Grillone