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The delineation of flood risk maps is a fundamental step in planning urban areas management. This evaluation can be carried out by hydraulic/hydrological modelling that allows obtaining water depths and related flooded areas. In this way, it is possible to mitigate and contain the catastrophic effects of floods, which become more frequent in the last decades. These events result in losses of both human lives and assets. In addition, the growing availability of high-resolution topographic data (i.e. Digital Terrain Models - DTM), due to new technologies for measuring surface elevation, gave a strong impulse to the development of new techniques capable of providing rapid and reliable identification of flood susceptibility. In this study, two methodologies for mapping flood-prone areas in karst ephemeral streams in Puglia region (Southern Italy) are compared, highlighting how DTM-based technologies are a precious source of information in data-poor environments. Results are in perfect agreement with previous studies on similar areas, showing the marked influences of topography in defining flood-prone areas. These researches can also be useful in investigating a wider gamma of hydrological-related aspects, in particular with respect to the social behavior of communities.
Beatrice Lioi; Andrea Gioia; Vincenzo Totaro; Gabriella Balacco; Vito Iacobellis; Giancarlo Chiaia. Coupled Use of Hydrologic-Hydraulic Model and Geomorphological Descriptors for Flood-Prone Areas Evaluation: A Case Study of Lama Lamasinata. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 12252, 607 -619.
AMA StyleBeatrice Lioi, Andrea Gioia, Vincenzo Totaro, Gabriella Balacco, Vito Iacobellis, Giancarlo Chiaia. Coupled Use of Hydrologic-Hydraulic Model and Geomorphological Descriptors for Flood-Prone Areas Evaluation: A Case Study of Lama Lamasinata. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; 12252 ():607-619.
Chicago/Turabian StyleBeatrice Lioi; Andrea Gioia; Vincenzo Totaro; Gabriella Balacco; Vito Iacobellis; Giancarlo Chiaia. 2020. "Coupled Use of Hydrologic-Hydraulic Model and Geomorphological Descriptors for Flood-Prone Areas Evaluation: A Case Study of Lama Lamasinata." Transactions on Petri Nets and Other Models of Concurrency XV 12252, no. : 607-619.
The COVID-19 pandemic affected the lives of millions of people, radically changing their habits in just a few days. In many countries, containment measures prescribed by national governments restricted the movements of entire communities, with the impossibility of attending schools, universities, workplaces, and no longer allowing for traveling or leading a normal social life. People were then compelled to revise their habits and lifestyles. In such a situation, the availability of drinking water plays a crucial role in ensuring adequate health conditions for people and tackling the spread of the pandemic. Lifestyle of the population, climate, water scarcity and water price are influent factors on water drinking demand and its daily pattern. To analyze the effect of restriction measures on water demand, the instantaneous flow data of five Apulian towns (Italy) during the lockdown have been analyzed highlighting the important role of users’ habits and the not negligible effect of commuters on the water demand pattern besides daily volume requested.
Gabriella Balacco; Vincenzo Totaro; Vito Iacobellis; Alessandro Manni; Mauro Spagnoletta; Alberto Piccinni. Influence of COVID-19 Spread on Water Drinking Demand: The Case of Puglia Region (Southern Italy). Sustainability 2020, 12, 5919 .
AMA StyleGabriella Balacco, Vincenzo Totaro, Vito Iacobellis, Alessandro Manni, Mauro Spagnoletta, Alberto Piccinni. Influence of COVID-19 Spread on Water Drinking Demand: The Case of Puglia Region (Southern Italy). Sustainability. 2020; 12 (15):5919.
Chicago/Turabian StyleGabriella Balacco; Vincenzo Totaro; Vito Iacobellis; Alessandro Manni; Mauro Spagnoletta; Alberto Piccinni. 2020. "Influence of COVID-19 Spread on Water Drinking Demand: The Case of Puglia Region (Southern Italy)." Sustainability 12, no. 15: 5919.
Salento peninsula (Southern Italy) hosts a coastal carbonate and karst aquifer. The semi-arid climate is favourable to human settlement and the development of tourism and agricultural activities, which involve high water demand and groundwater exploitation rates, in turn causing groundwater depletion and salinization. In the last decades these issues worsened because of the increased frequency of droughts, which emerges from the analysis of Standardized Precipitation Index (SPI), calculated during 1949–2011 on the base of monthly precipitation. Groundwater level series and chloride concentrations, collected over the extreme drought period 1989–1990, allow a qualitative assessment of groundwater behaviour, highlighting the concurrent groundwater drought and salinization.
Maria Rosaria Alfio; Gabriella Balacco; Alessandro Parisi; Vincenzo Totaro; Maria Dolores Fidelibus. Drought Index as Indicator of Salinization of the Salento Aquifer (Southern Italy). Water 2020, 12, 1927 .
AMA StyleMaria Rosaria Alfio, Gabriella Balacco, Alessandro Parisi, Vincenzo Totaro, Maria Dolores Fidelibus. Drought Index as Indicator of Salinization of the Salento Aquifer (Southern Italy). Water. 2020; 12 (7):1927.
Chicago/Turabian StyleMaria Rosaria Alfio; Gabriella Balacco; Alessandro Parisi; Vincenzo Totaro; Maria Dolores Fidelibus. 2020. "Drought Index as Indicator of Salinization of the Salento Aquifer (Southern Italy)." Water 12, no. 7: 1927.
Sewage systems play a crucial role in the framework of the water resources cycle. The detection of the causes and typologies of their malfunction is essential not only for guaranteeing correct hydraulic management of the network but also because it can prevent environmental contamination. In this study, a reconnaissance on the typologies and causes of intervention in sewer networks located in three Apulian provinces (Southern Italy) was carried out. The results showed that pipe occlusions with exfiltration are the main cause of intervention, followed by manhole occlusions. Data about pipe material highlighted that stoneware is absolutely the most used material and also the main object of maintenance for obstructions and breakages. Its correlation with the density of inhabitants was also investigated. The absence of detailed information about the age of any single pipe does not permit us to exclude the aging of pipes as a cause of major intervention. However, the frequency of some interventions in the same towns and often on the same trunks of pipes leads to the belief that criticalities occurring in the network could be addressed to incorrect use or bad hydraulic functioning.
Gabriella Balacco; Vito Iacobellis; Francesca Portincasa; Emilio Ragno; Vincenzo Totaro; Alberto Ferruccio Piccinni. Analysis of a Large Maintenance Journal of the Sewer Networks of Three Apulian Provinces in Southern Italy. Water 2020, 12, 1417 .
AMA StyleGabriella Balacco, Vito Iacobellis, Francesca Portincasa, Emilio Ragno, Vincenzo Totaro, Alberto Ferruccio Piccinni. Analysis of a Large Maintenance Journal of the Sewer Networks of Three Apulian Provinces in Southern Italy. Water. 2020; 12 (5):1417.
Chicago/Turabian StyleGabriella Balacco; Vito Iacobellis; Francesca Portincasa; Emilio Ragno; Vincenzo Totaro; Alberto Ferruccio Piccinni. 2020. "Analysis of a Large Maintenance Journal of the Sewer Networks of Three Apulian Provinces in Southern Italy." Water 12, no. 5: 1417.
Over the last few years, several socio-hydrological studies have investigated the risk dynamics generated by the complex interactions between floods and societies, with a focus on either changing reservoir operation rules or raising levees. In this study, we propose a new socio-hydrological model of human–flood interactions that represents both changes in the reservoir management strategies and updating of the levee system. Our model is applied to simulate three prototypes of floodplain management strategies to cope with flood risk: green systems, in which societies resettle outside the flood-prone area; technological systems, in which societies implement structural measures, such as levees; and green-to-techno systems, in which societies shift from green to technological approaches. Floodplain dynamics are explored simulating possible future scenarios in the city of Brisbane, Australia. Results show that flood risk is strongly influenced by changes in flood and drought memory of reservoir operators, while risk-awareness levels shape the urbanisation of floodplains. Furthermore, scenarios of more frequent and higher magnitude events prove to enhance social flood memory in green systems, while technological systems experience much higher losses. Interestingly, green-to-techno systems may also evolve toward green floodplain management systems in response to large losses and technical/economical unfeasibility of larger structural measures.
Cinzia Albertini; Maurizio Mazzoleni; Vincenzo Totaro; Vito Iacobellis; Giuliano Di Baldassarre. Socio-Hydrological Modelling: The Influence of Reservoir Management and Societal Responses on Flood Impacts. Water 2020, 12, 1384 .
AMA StyleCinzia Albertini, Maurizio Mazzoleni, Vincenzo Totaro, Vito Iacobellis, Giuliano Di Baldassarre. Socio-Hydrological Modelling: The Influence of Reservoir Management and Societal Responses on Flood Impacts. Water. 2020; 12 (5):1384.
Chicago/Turabian StyleCinzia Albertini; Maurizio Mazzoleni; Vincenzo Totaro; Vito Iacobellis; Giuliano Di Baldassarre. 2020. "Socio-Hydrological Modelling: The Influence of Reservoir Management and Societal Responses on Flood Impacts." Water 12, no. 5: 1384.
In the context of climate and environmental change assessment, the use of probabilistic models in which the parameters of a given distribution may vary in accordance with time has reinforced the need for appropriate procedures to recognize the “statistical significance” of trends in data series arising from stochastic processes. This paper introduces a parametric methodology, which exploits a measure based on the Akaike Information Criterion (AICΔ), and a Rescaled version of the Generalized Extreme Value distribution, in which a linear deterministic trend in the position parameter is accounted for. A Monte Carlo experiment was set up with the generation of nonstationary synthetic series characterized by different sample lengths and covering a wide range of the shape and scale parameters. The performances of statistical tests based on the parametric AICΔ and the non-parametric Mann-Kendall measures were evaluated and compared with reference to observed ranges of annual maxima of precipitation, peak flow, and wind speed. Results allow for sensitivity analysis of the test power and show a strong dependence on the trend coefficient and the L-Coefficient of Variation of the parent distribution from the upper-bounded to the heavy-tailed special cases. An analysis of the sample variability of the position parameter is also presented, based on the same generation sets.
Andrea Gioia; Maria Francesca Bruno; Vincenzo Totaro; Vito Iacobellis. Parametric Assessment of Trend Test Power in a Changing Environment. Sustainability 2020, 12, 3889 .
AMA StyleAndrea Gioia, Maria Francesca Bruno, Vincenzo Totaro, Vito Iacobellis. Parametric Assessment of Trend Test Power in a Changing Environment. Sustainability. 2020; 12 (9):3889.
Chicago/Turabian StyleAndrea Gioia; Maria Francesca Bruno; Vincenzo Totaro; Vito Iacobellis. 2020. "Parametric Assessment of Trend Test Power in a Changing Environment." Sustainability 12, no. 9: 3889.
The present paper deals with a performance assessment of the ERA5 wave dataset in an ocean basin where local wind waves superimpose on swell waves. The evaluation framework relies on observed wave data collected during a coastal experimental campaign carried out offshore of the southern Oman coast in the Western Arabian Sea. The applied procedure requires a detailed investigation on the observed waves, and aims at classifying wave regimes: observed wave spectra have been split using a 2D partition scheme and wave characteristics have been evaluated for each wave component. Once the wave climate was defined, a detailed wave model assessment was performed. The results revealed that during the analyzed time span the ERA5 wave model overestimates the swell wave heights, whereas the wind waves’ height prediction is highly influenced by the wave developing conditions. The collected field dataset is also useful for a discussion on spectral wave characteristics during monsoon and post-monsoon season in the examined region; the recorded wave data do not suffice yet to adequately describe wave fields generated by the interaction of monsoon and local winds.
Maria Francesca Bruno; Matteo Gianluca Molfetta; Vincenzo Totaro; Michele Mossa. Performance Assessment of ERA5 Wave Data in a Swell Dominated Region. Journal of Marine Science and Engineering 2020, 8, 214 .
AMA StyleMaria Francesca Bruno, Matteo Gianluca Molfetta, Vincenzo Totaro, Michele Mossa. Performance Assessment of ERA5 Wave Data in a Swell Dominated Region. Journal of Marine Science and Engineering. 2020; 8 (3):214.
Chicago/Turabian StyleMaria Francesca Bruno; Matteo Gianluca Molfetta; Vincenzo Totaro; Michele Mossa. 2020. "Performance Assessment of ERA5 Wave Data in a Swell Dominated Region." Journal of Marine Science and Engineering 8, no. 3: 214.
The need to fit time series characterized by the presence of a trend or change points has generated increased interest in the investigation of nonstationary probability distributions in recent years. Considering that the available hydrological time series can be recognized as the observable part of a stochastic process with a definite probability distribution, two main topics can be tackled in this context: the first is related to the definition of an objective criterion for choosing whether the stationary hypothesis can be adopted, whereas the second regards the effects of nonstationarity on the estimation of distribution parameters and quantiles for an assigned return period and flood risk evaluation. Although the time series trend or change points are usually detected using nonparametric tests available in the literature (e.g., Mann–Kendall or CUSUM test), the correct selection of the stationary or nonstationary probability distribution is still required for design purposes. In this light, the focus is shifted toward model selection criteria; this implies the use of parametric methods, including all of the issues related to parameter estimation. The aim of this study is to compare the performance of parametric and nonparametric methods for trend detection, analyzing their power and focusing on the use of traditional model selection tools (e.g., the Akaike information criterion and the likelihood ratio test) within this context. The power and efficiency of parameter estimation, including the trend coefficient, were investigated via Monte Carlo simulations using the generalized extreme value distribution as the parent with selected parameter sets.
Vincenzo Totaro; Andrea Gioia; Vito Iacobellis. Numerical investigation on the power of parametric and nonparametric tests for trend detection in annual maximum series. Hydrology and Earth System Sciences 2020, 24, 473 -488.
AMA StyleVincenzo Totaro, Andrea Gioia, Vito Iacobellis. Numerical investigation on the power of parametric and nonparametric tests for trend detection in annual maximum series. Hydrology and Earth System Sciences. 2020; 24 (1):473-488.
Chicago/Turabian StyleVincenzo Totaro; Andrea Gioia; Vito Iacobellis. 2020. "Numerical investigation on the power of parametric and nonparametric tests for trend detection in annual maximum series." Hydrology and Earth System Sciences 24, no. 1: 473-488.
Flood-hazard map delineation is an important task in planning land management activities. This evaluation is usually based on coupled hydraulic/hydrological models, which often require time consuming and expensive measurement campaigns in order to estimate the necessary distributed physical information for their implementation (e.g. digital elevation models, land cover and geological maps); moreover, the observed effects of flood events are needed for their calibration and validation. The obtained flooded maps can allow to perform geomorphic DEM-based procedure, which is a valid tool useful for the rapid identification and mapping of flood-prone areas; in addition remote sensing is a reliable and widespread source of input data for the application of hydrological and hydraulic models: particular interest generate the attitude of the Landsat-8 OLISR data in the definition of the effective flooded area. The goal of this work is to compare performances of remote sensing and DEM-based techniques for the definition of flood-prone areas, using as reference map that obtained by a two-dimensional hydraulic simulation. An objective comparison between these two approaches has been carried out(using linear binary classifiers method and ROC curves) on the case study of Lato river basin, located in the Puglia region, Southern Italy; the satellite indices showed good performances even if the selected geomorphic descriptors still remain the most performing in reproducing the inundated areas.
Vincenzo Totaro; Giuseppe Peschechera; Andrea Gioia; Vito Iacobellis; Umberto Fratino. Comparison of Satellite and Geomorphic Indices for Flooded Areas Detection in a Mediterranean River Basin. Transactions on Petri Nets and Other Models of Concurrency XV 2019, 173 -185.
AMA StyleVincenzo Totaro, Giuseppe Peschechera, Andrea Gioia, Vito Iacobellis, Umberto Fratino. Comparison of Satellite and Geomorphic Indices for Flooded Areas Detection in a Mediterranean River Basin. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():173-185.
Chicago/Turabian StyleVincenzo Totaro; Giuseppe Peschechera; Andrea Gioia; Vito Iacobellis; Umberto Fratino. 2019. "Comparison of Satellite and Geomorphic Indices for Flooded Areas Detection in a Mediterranean River Basin." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 173-185.
Using geomorphic descriptors is a fast and reliable approach for mapping flood-prone areas exploiting Digital Elevation Models and their tools. However, calibration and validation procedures require a flooded map obtained by 1D/2D hydraulic simulation, which usually needs lots of information (available, for example, from remote sensing techniques) and important computational efforts. This approach is usually performed by calibration on a single event, using linear binary classifiers method and Receiver Operating Characteristics curves, in order to define an optimal threshold corresponding to a selected flooded map. On the other hand, the availability of flood-risk maps, provided by public or private institutions, is an important source of data for applying this procedure on a wide and hydrologically homogeneous area, in order to analyze some similitudes. In this study some interesting case studies located in Puglia region (Southern Italy) are investigated, using flooded maps for return periods of 30, 200 and 500 years provided by Basin Authority of Puglia; the aim of the proposed work is to compare the known flooded map areas with those obtained using several geomorphologic index on four case studies located in the metropolitan area of Bari (Puglia).
Gabriella Balacco; Vincenzo Totaro; Andrea Gioia; Alberto Ferruccio Piccinni. Evaluation of Geomorphic Descriptors Thresholds for Flood Prone Areas Detection on Ephemeral Streams in the Metropolitan Area of Bari (Italy). Transactions on Petri Nets and Other Models of Concurrency XV 2019, 239 -254.
AMA StyleGabriella Balacco, Vincenzo Totaro, Andrea Gioia, Alberto Ferruccio Piccinni. Evaluation of Geomorphic Descriptors Thresholds for Flood Prone Areas Detection on Ephemeral Streams in the Metropolitan Area of Bari (Italy). Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():239-254.
Chicago/Turabian StyleGabriella Balacco; Vincenzo Totaro; Andrea Gioia; Alberto Ferruccio Piccinni. 2019. "Evaluation of Geomorphic Descriptors Thresholds for Flood Prone Areas Detection on Ephemeral Streams in the Metropolitan Area of Bari (Italy)." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 239-254.
In the context of flood risk assessment and urban territory protection, the proposed research is focused on the definition of flood hazard maps by using high-resolution Digital Terrain Models (DTMs) obtained by a Light Detection And Ranging [LiDAR], remote sensing technique. The hydrologic/hydraulic model was calibrated on a flood event occurred on June 2014 on Lama Balice, ephemeral stream located in Puglia (Southern Italy), using the water levels observed during field campaign. In particular the analysis was performed for the definition of hazard maps with return periods of 30, 200 and 500 years, exploiting a combined scheme of a mono/two dimensional flood propagation approach for the delineation of flooded areas. The conducted research gives a significant contribution for the assessment of techniques of dynamic hazard and risk evaluation, in order to support institutions (like Basin Authorities and Civil Protection agencies) and professionals, in the context of the application of recent European legislation on flood risk protection (Floods Directive 2007/60/EC) and for European programs of scientific research (as Horizon 2020) in ungauged karstic catchment.
Vito Iacobellis; Audrey M. N. Martellotta; Andrea Gioia; Davide Prato; Vincenzo Totaro; Rocco Bonelli; Gabriella Balacco; Alisa A. M. G. Esposito. Investigation of a Flood Event Occurred on Lama Balice, in the Context of Hazard Map Evaluation in Karstic-Ephemeral Streams. Transactions on Petri Nets and Other Models of Concurrency XV 2018, 317 -333.
AMA StyleVito Iacobellis, Audrey M. N. Martellotta, Andrea Gioia, Davide Prato, Vincenzo Totaro, Rocco Bonelli, Gabriella Balacco, Alisa A. M. G. Esposito. Investigation of a Flood Event Occurred on Lama Balice, in the Context of Hazard Map Evaluation in Karstic-Ephemeral Streams. Transactions on Petri Nets and Other Models of Concurrency XV. 2018; ():317-333.
Chicago/Turabian StyleVito Iacobellis; Audrey M. N. Martellotta; Andrea Gioia; Davide Prato; Vincenzo Totaro; Rocco Bonelli; Gabriella Balacco; Alisa A. M. G. Esposito. 2018. "Investigation of a Flood Event Occurred on Lama Balice, in the Context of Hazard Map Evaluation in Karstic-Ephemeral Streams." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 317-333.
In the proposed work areas exposed to flood risk were evaluated in a particular context of karst ephemeral streams located in Puglia region (Southern Italy). The case study of Lama Balice, characterized by a natural geomorphologic structure, was tested for the application of a DTM-based approach, aimed to the rapid identification and mapping of flood risk. The inundated areas, obtained with a 2D hydraulic model, following design rainfall events characterized by different return periods, were used as reference maps for the selection of the most appropriate geomorphological descriptor exploiting the binary classifiers test. The performance of the adopted procedure was tested by validating the selected geomorphological descriptors on a different area with respect to that used for calibration, in order to estimate the discrepancy between DTM-based flood maps and those obtained by numerical simulation.
Andrea Gioia; Vincenzo Totaro; Rocco Bonelli; Alisa A. M. G. Esposito; Gabriella Balacco; Vito Iacobellis. Flood Susceptibility Evaluation on Ephemeral Streams of Southern Italy: A Case Study of Lama Balice. Transactions on Petri Nets and Other Models of Concurrency XV 2018, 334 -348.
AMA StyleAndrea Gioia, Vincenzo Totaro, Rocco Bonelli, Alisa A. M. G. Esposito, Gabriella Balacco, Vito Iacobellis. Flood Susceptibility Evaluation on Ephemeral Streams of Southern Italy: A Case Study of Lama Balice. Transactions on Petri Nets and Other Models of Concurrency XV. 2018; ():334-348.
Chicago/Turabian StyleAndrea Gioia; Vincenzo Totaro; Rocco Bonelli; Alisa A. M. G. Esposito; Gabriella Balacco; Vito Iacobellis. 2018. "Flood Susceptibility Evaluation on Ephemeral Streams of Southern Italy: A Case Study of Lama Balice." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 334-348.
In the last few years, the scientific community has dedicated a strong effort for the rapid identification and mapping of flood risk. Last generation models have often taken advantage (even without of in-situ measurements) of the distributed information provided from remotely sensed data. In this work is proposed a multidisciplinary approach to reproduce maps of flooded areas. The method compared spectral descriptors to estimate the areas at risk of flooding in the Lato river basin (Puglia region - Southern Italy) using the ground effects caused by flood events. The inundated areas, obtained with a 2D hydraulic model, were used as reference for Landsat-8 spectral indices. The selection of the most appropriate spectral index was achieved using the binary classifiers test. Lastly, the adopted procedure provided also the calibration of different geomorphological descriptors for a rapid identification of areas at risk of flooding by using Digital Elevation Models.
Vincenzo Totaro; Andrea Gioia; Antonio Novelli; Grazia CaraDonna. The Use of Geomorphological Descriptors and Landsat-8 Spectral Indices Data for Flood Areas Evaluation: A Case Study of Lato River Basin. Transactions on Petri Nets and Other Models of Concurrency XV 2017, 10407, 30 -44.
AMA StyleVincenzo Totaro, Andrea Gioia, Antonio Novelli, Grazia CaraDonna. The Use of Geomorphological Descriptors and Landsat-8 Spectral Indices Data for Flood Areas Evaluation: A Case Study of Lato River Basin. Transactions on Petri Nets and Other Models of Concurrency XV. 2017; 10407 ():30-44.
Chicago/Turabian StyleVincenzo Totaro; Andrea Gioia; Antonio Novelli; Grazia CaraDonna. 2017. "The Use of Geomorphological Descriptors and Landsat-8 Spectral Indices Data for Flood Areas Evaluation: A Case Study of Lato River Basin." Transactions on Petri Nets and Other Models of Concurrency XV 10407, no. : 30-44.