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Brunella Bonaccorso   Dr.  University Lecturer 
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Brunella Bonaccorso published an article in September 2018.
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David J. Peres

14 shared publications

Dept. of Civil Engineering and Architecture, Univ. of Catania, Via S. Sofia, 64 95123, Catania, Italy

G. Rossi

7 shared publications

Department of Civil and Environmental Engineering , University of Catania , Italy

Antonio Castaño

1 shared publications

University of Catania

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Distribution of Articles published per year 
(2009 - 2018)
Total number of journals
published in
 
8
 
Publications See all
PROCEEDINGS-ARTICLE 0 Reads 0 Citations Performance Analysis of the Water Distribution System of the City of Messina Through Sustainability Indices Iolanda Borzì, Brunella Bonaccorso, Giuseppe Tito Aronica Published: 20 September 2018
doi: 10.29007/sr9c
DOI See at publisher website
Article 0 Reads 1 Citation Flood and landslide warning based on rainfall thresholds and soil moisture indexes: the HEWS (Hydrohazards Early Warning... Giuseppina Brigandì, Giuseppe Tito Aronica, Brunella Bonacco... Published: 07 September 2017
Advances in Geosciences, doi: 10.5194/adgeo-44-79-2017
DOI See at publisher website ABS Show/hide abstract
The main focus of the paper is to present a flood and landslide early warning system, named HEWS (Hydrohazards Early Warning System), specifically developed for the Civil Protection Department of Sicily, based on the combined use of rainfall thresholds, soil moisture modelling and quantitative precipitation forecast (QPF). The warning system is referred to 9 different Alert Zones in which Sicily has been divided into and based on a threshold system of three different increasing critical levels: ordinary, moderate and high. In this system, for early flood warning, a Soil Moisture Accounting (SMA) model provides daily soil moisture conditions, which allow to select a specific set of three rainfall thresholds, one for each critical level considered, to be used for issue the alert bulletin. Wetness indexes, representative of the soil moisture conditions of a catchment, are calculated using a simple, spatially-lumped rainfall–streamflow model, based on the SCS-CN method, and on the unit hydrograph approach, that require daily observed and/or predicted rainfall, and temperature data as input. For the calibration of this model daily continuous time series of rainfall, streamflow and air temperature data are used. An event based lumped rainfall–runoff model has been, instead, used for the derivation of the rainfall thresholds for each catchment in Sicily characterised by an area larger than 50km2. In particular, a Kinematic Instantaneous Unit Hydrograph based lumped rainfall–runoff model with the SCS-CN routine for net rainfall was developed for this purpose. For rainfall-induced shallow landslide warning, empirical rainfall thresholds provided by Gariano et al. (2015) have been included in the system. They were derived on an empirical basis starting from a catalogue of 265 shallow landslides in Sicily in the period 2002–2012. Finally, Delft-FEWS operational forecasting platform has been applied to link input data, SMA model and rainfall threshold models to produce warning on a daily basis for the entire region.
Conference 0 Reads 0 Citations Uncertainty Analysis of the Standardized Precipitation Index within a Non-Stationary Framework Antonino Cancelliere, Brunella Bonaccorso, Christopher N. Du... Published: 18 May 2017
World Environmental and Water Resources Congress 2017, doi: 10.1061/9780784480601.027
DOI See at publisher website
Article 0 Reads 2 Citations Combining regional rainfall frequency analysis and rainfall-runoff modelling to derive frequency distributions of peak f... Brunella Bonaccorso, Giuseppina Brigandì, Giuseppe Tito Aron... Published: 24 February 2017
Advances in Geosciences, doi: 10.5194/adgeo-44-15-2017
DOI See at publisher website ABS Show/hide abstract
In the present study an attempt is made to provide a general Monte Carlo approach for deriving flood frequency curves in ungauged basins in Sicily region (Italy). The proposed procedure consists of (i) a regional frequency analysis of extreme rainfall series, combined with Huff curves-based synthetic hyetographs, for design storms and (ii) a rainfall-runoff model, based on the Time-Area technique, to generate synthetic hydrographs. Validation of the procedure is carried out on four gauged river basins in Sicily region (Italy), where synthetic peak flow frequency curves, obtained by simulating 1000 flood events, are compared with observed values. Results of the application reveal that the proposed Monte Carlo approach is suitable to reproduce with reasonable accuracy the hydrologic response of the investigated basins. Given its relative simplicity, the developed procedure can be easily extended to poorly gauged or ungauged basins.
Article 0 Reads 3 Citations Estimating Temporal Changes in Extreme Rainfall in Sicily Region (Italy) Brunella Bonaccorso, Giuseppe T. Aronica Published: 20 July 2016
Water Resources Management, doi: 10.1007/s11269-016-1442-3
DOI See at publisher website
Conference 0 Reads 1 Citation A Non-Stationary Analytical Framework for the Probabilistic Characterization of Drought Events Antonino Cancelliere, Brunella Bonaccorso Published: 16 May 2016
World Environmental and Water Resources Congress 2016, doi: 10.1061/9780784479858.036
DOI See at publisher website
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