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Urban stormwater runoff represents a significant challenge for the practical assessment of diffuse pollution sources on receiving water bodies. Given the high dimensionality of the problem, the main goal of this study was the comparison of linear and non-linear machine learning (ML) methods to characterize urban nutrient runoff from impervious surfaces. In particular, the principal component analysis (PCA) for the linear technique and the self-organizing map (SOM) for the non-linear technique were chosen and compared considering the high number of successful applications in the water quality field. To strengthen this comparison, these techniques were supported by well-known linear and non-linear methods. Those techniques were applied to a complete dataset with precipitation, flow rate, and water quality (sediments and nutrients) records of 577 events gathered for a watershed located in Southern Italy. According to the results, both linear and non-linear techniques can represent build-up and wash-off, the two main processes that characterize urban nutrient runoff. In particular, non-linear methods are able to capture and represent better the rainfall-runoff process and the transport of dissolved nutrients in urban runoff (dilution process). However, their computational time is higher than the linear technique (0.0054 s vs. 15.24 s, for linear and non-linear, respectively, in our study). The outcomes of this study provide significant insights into the application of ML methods for the water quality field.
Angela Gorgoglione; Alberto Castro; Vito Iacobellis; Andrea Gioia. A Comparison of Linear and Non-Linear Machine Learning Techniques (PCA and SOM) for Characterizing Urban Nutrient Runoff. Sustainability 2021, 13, 2054 .
AMA StyleAngela Gorgoglione, Alberto Castro, Vito Iacobellis, Andrea Gioia. A Comparison of Linear and Non-Linear Machine Learning Techniques (PCA and SOM) for Characterizing Urban Nutrient Runoff. Sustainability. 2021; 13 (4):2054.
Chicago/Turabian StyleAngela Gorgoglione; Alberto Castro; Vito Iacobellis; Andrea Gioia. 2021. "A Comparison of Linear and Non-Linear Machine Learning Techniques (PCA and SOM) for Characterizing Urban Nutrient Runoff." Sustainability 13, no. 4: 2054.
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.
Urban stormwater runoff is considered worldwide as one of the most critical diffuse pollutions since it transports contaminants that threaten the quality of receiving water bodies and represent a harm to the aquatic ecosystem. Therefore, a thorough analysis of nutrient build-up and wash-off from impervious surfaces is crucial for effective stormwater-treatment design. In this study, the self-organizing map (SOM) method was used to simplify a complex dataset that contains precipitation, flow rate, and water-quality data, and identify possible patterns among these variables that help to explain the main features that impact the processes of nutrient build-up and wash-off from urban areas. Antecedent dry weather, among the rainfall-related characteristics, and sediment transport resulted in being the most significant factors in nutrient urban runoff simulations. The outcomes of this work will contribute to facilitating informed decision making in the design of management strategies to reduce pollution impacts on receiving waters and, consequently, protect the surrounding ecological environment.
Angela Gorgoglione; Alberto Castro; Andrea Gioia; Vito Iacobellis. Application of the Self-organizing Map (SOM) to Characterize Nutrient Urban Runoff. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 12252, 680 -692.
AMA StyleAngela Gorgoglione, Alberto Castro, Andrea Gioia, Vito Iacobellis. Application of the Self-organizing Map (SOM) to Characterize Nutrient Urban Runoff. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; 12252 ():680-692.
Chicago/Turabian StyleAngela Gorgoglione; Alberto Castro; Andrea Gioia; Vito Iacobellis. 2020. "Application of the Self-organizing Map (SOM) to Characterize Nutrient Urban Runoff." Transactions on Petri Nets and Other Models of Concurrency XV 12252, no. : 680-692.
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.
Protection of surface water quality plays a crucial role for sustainable urban watershed management since the wash-off from impervious contaminated surfaces generates transport phenomena from a range of pollutants (like nutrients, such as total nitrogen (Ntot) and total phosphorus (Ptot)). This leads to the consequent reduction of water quality, and to phenomena, such as eutrophication and the presence of algae blooms. For this reason, a comprehensive understanding of nutrient build-up and wash-off is essential for efficient stormwater treatment design. However, data scarcity could represent one of the main limitations in this context. This manuscript presents a methodological framework able to tackle such limitations by an in-depth investigation of the main factors that influence the build-up and wash-off from impervious surfaces, including rainfall, watershed, and drainage-network characteristics. The outcomes highlight the key role played by the antecedent dry period, among the rainfall characteristics, and the width of the overland flow path, among the catchment/drainage characteristics. It is also confirmed as appropriate to use suspended solids as a surrogate for the investigation of the behavior of other pollutant species. Additionally, the capability of this approach in assessing modeling performance was successfully tested. The results of the present study are expected to contribute valuable knowledge for defining effective management strategies to minimize stream pollution and protect the health of aquatic ecosystems in urban watersheds characterized by data scarcity.
Angela Gorgoglione; Andrea Gioia; Vito Iacobellis. A Framework for Assessing Modeling Performance and Effects of Rainfall-Catchment-Drainage Characteristics on Nutrient Urban Runoff in Poorly Gauged Watersheds. Sustainability 2019, 11, 4933 .
AMA StyleAngela Gorgoglione, Andrea Gioia, Vito Iacobellis. A Framework for Assessing Modeling Performance and Effects of Rainfall-Catchment-Drainage Characteristics on Nutrient Urban Runoff in Poorly Gauged Watersheds. Sustainability. 2019; 11 (18):4933.
Chicago/Turabian StyleAngela Gorgoglione; Andrea Gioia; Vito Iacobellis. 2019. "A Framework for Assessing Modeling Performance and Effects of Rainfall-Catchment-Drainage Characteristics on Nutrient Urban Runoff in Poorly Gauged Watersheds." Sustainability 11, no. 18: 4933.
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 this study an analysis of the water supply variability for three towns in Puglia (Southern Italy), Roccaforzata, Palagianello and Palagiano, was carried out, based on time series continuously recorded over two years. The towns’ population ranges between 1800 and 16,000 inhabitants and the flow data, collected with time steps of 10 min, are referred to drinking water in an urban environment. The frequency analysis was conducted on the hourly and instantaneous peak factors and confirmed that the Gumbel distribution is able to represent the stochastic behavior of the peak water demand. A physically based formulation of the distribution parameters was exploited in order to investigate the regional distribution of the peak factor for towns with a different population.
Gabriella Balacco; Andrea Gioia; Vito Iacobellis; Alberto Ferruccio Piccinni. At-Site Assessment of a Regional Design Criterium for Water-Demand Peak Factor Evaluation. Water 2018, 11, 24 .
AMA StyleGabriella Balacco, Andrea Gioia, Vito Iacobellis, Alberto Ferruccio Piccinni. At-Site Assessment of a Regional Design Criterium for Water-Demand Peak Factor Evaluation. Water. 2018; 11 (1):24.
Chicago/Turabian StyleGabriella Balacco; Andrea Gioia; Vito Iacobellis; Alberto Ferruccio Piccinni. 2018. "At-Site Assessment of a Regional Design Criterium for Water-Demand Peak Factor Evaluation." Water 11, no. 1: 24.
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.
High and low flows and associated floods and droughts are extreme hydrological phenomena mainly caused by meteorological anomalies and modified by catchment processes and human activities. They exert increasing on human, economic, and natural environmental systems around the world. In this context, global climate change along with local fluctuations may eventually trigger a disproportionate response in hydrological extremes. This special issue focuses on observed extreme events in the recent past, how these extremes are linked to a changing global/regional climate, and the manner in which they may shift in the coming years.
Salvatore Manfreda; Vito Iacobellis; Andrea Gioia; Mauro Fiorentino; Krzysztof Kochanek. The Impact of Climate on Hydrological Extremes. Water 2018, 10, 802 .
AMA StyleSalvatore Manfreda, Vito Iacobellis, Andrea Gioia, Mauro Fiorentino, Krzysztof Kochanek. The Impact of Climate on Hydrological Extremes. Water. 2018; 10 (6):802.
Chicago/Turabian StyleSalvatore Manfreda; Vito Iacobellis; Andrea Gioia; Mauro Fiorentino; Krzysztof Kochanek. 2018. "The Impact of Climate on Hydrological Extremes." Water 10, no. 6: 802.
In this study an analysis of the water supply variability for three towns in Puglia (Southern Italy), Roccaforzata, Palagianello and Palagiano was carried out, based on a time series continuously recorded over three years. The towns’ population ranges between 1800 and 16,000 inhabitants and the flow data, collected with time steps of 10 min, are referred to drinking water in urban environment. In particular the frequency analysis on the series of daily maximum hourly peak coefficients, calculated using the observed dataset, was conducted in order to assess the stochastic behavior of the hourly peak water demand at local scale.
Gabriella Balacco; Antonio Carbonara; Andrea Gioia; Vito Iacobellis; Alberto Ferruccio Piccinni. Investigation of Peak Water Consumption Variability at Local Scale in Puglia (Southern Italy). Proceedings 2018, 2, 674 .
AMA StyleGabriella Balacco, Antonio Carbonara, Andrea Gioia, Vito Iacobellis, Alberto Ferruccio Piccinni. Investigation of Peak Water Consumption Variability at Local Scale in Puglia (Southern Italy). Proceedings. 2018; 2 (11):674.
Chicago/Turabian StyleGabriella Balacco; Antonio Carbonara; Andrea Gioia; Vito Iacobellis; Alberto Ferruccio Piccinni. 2018. "Investigation of Peak Water Consumption Variability at Local Scale in Puglia (Southern Italy)." Proceedings 2, no. 11: 674.
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.
In recent decades the effects generated by human activity that have led to the reduction of the natural water retention capacity of the soil and those generated by climatic factors rapidly changing, have exacerbated the hydrogeological instability and amplified the national territory vulnerability. Despite the flood risk in Italy is a topic of great interest, there are several aspects, especially in the management of flood events, that require further investigation; examples are floods caused by dam discharge. In this paper the distribution of hazard areas in downstream of Occhito Dam, has been carried out. Several hazard scenarios were considered related to only dam discharge or relating to the simultaneous presence of the dam contribution and contributions from river basins downstream of the Occhito dam. The results, validated using flooding photo, are presented and discussed, providing flow-rate in order to predict potential floods.
Ciro Apollonio; Gabriella Balacco; Andrea Gioia; Vito Iacobellis; Alberto Ferruccio Piccinni. Flood Hazard Assessment of the Fortore River Downstream the Occhito Dam, in Southern Italy. Transactions on Petri Nets and Other Models of Concurrency XV 2017, 201 -216.
AMA StyleCiro Apollonio, Gabriella Balacco, Andrea Gioia, Vito Iacobellis, Alberto Ferruccio Piccinni. Flood Hazard Assessment of the Fortore River Downstream the Occhito Dam, in Southern Italy. Transactions on Petri Nets and Other Models of Concurrency XV. 2017; ():201-216.
Chicago/Turabian StyleCiro Apollonio; Gabriella Balacco; Andrea Gioia; Vito Iacobellis; Alberto Ferruccio Piccinni. 2017. "Flood Hazard Assessment of the Fortore River Downstream the Occhito Dam, in Southern Italy." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 201-216.
In the last few years the scientific community has developed several hydrological models aimed at the simulation of hydrological processes acting at the basin scale. In this context, the portion of peak runoff contributing areas represents a critical variable for a correct estimate of surface runoff. Such areas are strongly influenced by the saturated portion of a river basin (influenced by antecedent conditions), but may also evolve during a specific rainfall event. In the recent years, we have developed two theoretically derived probability distributions that attempt to interpret these two processes adopting daily runoff and flood-peak time series. The probability density functions (PDFs) obtained by these two schematizations were compared for humid river basins in southern Italy. Results highlighted that the PDFs of the peak runoff contributing areas can be interpreted by a gamma distribution and that the PDF of the relative saturated area provides a good interpretation of such process that can be used for flood prediction.
Andrea Gioia; Vito Iacobellis; Salvatore Manfreda; Mauro Fiorentino. Comparison of different methods describing the peak runoff contributing areas during floods. Hydrological Processes 2017, 31, 2041 -2049.
AMA StyleAndrea Gioia, Vito Iacobellis, Salvatore Manfreda, Mauro Fiorentino. Comparison of different methods describing the peak runoff contributing areas during floods. Hydrological Processes. 2017; 31 (11):2041-2049.
Chicago/Turabian StyleAndrea Gioia; Vito Iacobellis; Salvatore Manfreda; Mauro Fiorentino. 2017. "Comparison of different methods describing the peak runoff contributing areas during floods." Hydrological Processes 31, no. 11: 2041-2049.
Agricultural land systems are the result of human interactions with the natural environment, and subjective evidence of socio-economic and environmental interactions has been demonstrated. Nevertheless, it is still difficult to analyze empirically the link between agricultural market and policy, as well as the environmental response due to changes in crop management by local stakeholders. In this study, we propose a cross investigation and analysis to bring the link between vegetation cover, policy, market and farmer’s behavior to light. Our methodology is a combination of a rational positive and analogical approach between the quantifiable and non-quantifiable agents on a temporal basis. The method is applied to a dominant mono-crop agricultural watershed in Southern Italy that has been dedicated to durum wheat cultivation. In this region, we studied the relationship between the Common Agricultural Policy (CAP), durum wheat market price, vegetation cover and land allocation. As a first step, we conducted a separate analysis for each factor, exploiting Moderate Resolution Imaging Spectroradiometer (MODIS) satellite observed Leaf Area Index (LAI) to analyze the land vegetation space–time distribution over the period 2000–2014 and three Land Satellite (Landsat) validated images as check-points for the agricultural pattern and CAP’s reforms. We used the Farm Accountancy Data Network (FADN) and Eurostat data to investigate the on-farm accountancy and the durum wheat market price changes, respectively. Based on the study period, we developed a storyline of the major relevant CAP’s policy changes. In a second step, we conducted a comparative analysis where the CAP’s reforms were used as interpretational support, the land allocation and the on-farm accountability for CAP’s implementation, the price of durum wheat and the LAI for analytical comparison. We found interesting insights regarding the non-agronomic driving forces of LAI dynamics. The behavior of the individual farmers is influenced by the CAP policy that has been implemented by using profitability as the stimulus for the decision making of the farmer. This explains the correlation of the trend between the market price, the LAI of durum wheat and their associated dynamics.
Si Mokrane Siad; Andrea Gioia; Gerrit Hoogenboom; Vito Iacobellis; Antonio Novelli; Eufemia Tarantino; Pandi Zdruli. Durum Wheat Cover Analysis in the Scope of Policy and Market Price Changes: A Case Study in Southern Italy. Agriculture 2017, 7, 12 .
AMA StyleSi Mokrane Siad, Andrea Gioia, Gerrit Hoogenboom, Vito Iacobellis, Antonio Novelli, Eufemia Tarantino, Pandi Zdruli. Durum Wheat Cover Analysis in the Scope of Policy and Market Price Changes: A Case Study in Southern Italy. Agriculture. 2017; 7 (2):12.
Chicago/Turabian StyleSi Mokrane Siad; Andrea Gioia; Gerrit Hoogenboom; Vito Iacobellis; Antonio Novelli; Eufemia Tarantino; Pandi Zdruli. 2017. "Durum Wheat Cover Analysis in the Scope of Policy and Market Price Changes: A Case Study in Southern Italy." Agriculture 7, no. 2: 12.
In the design of a water supply network, the use of traditional formulas of the peak factor may lead to over-dimensioning the network pipelines, especially in small towns. This discrepancy is probably due to changes in human habits as a consequence of a general improvement of living conditions. Starting from these considerations, and given the availability of a wide random sample data, an analysis of the water demand for several towns in Puglia was carried out, leading to the definition of a relationship between the above mentioned peak factor and the number of inhabitants, based on a stochastic approach. An interesting outcome of this study is that the design of water supply network is possible without considering the use of monthly and weekly peak factors, since the current water demands appear not specifically sensitive to these variations; moreover, the magnitude of the peak factor, as shown by measured data, is considerably lower compared to literature values, especially for small towns.
Gabriella Balacco; Antonio Carbonara; Andrea Gioia; Vito Iacobellis; Alberto Ferruccio Piccinni. Evaluation of Peak Water Demand Factors in Puglia (Southern Italy). Water 2017, 9, 96 .
AMA StyleGabriella Balacco, Antonio Carbonara, Andrea Gioia, Vito Iacobellis, Alberto Ferruccio Piccinni. Evaluation of Peak Water Demand Factors in Puglia (Southern Italy). Water. 2017; 9 (2):96.
Chicago/Turabian StyleGabriella Balacco; Antonio Carbonara; Andrea Gioia; Vito Iacobellis; Alberto Ferruccio Piccinni. 2017. "Evaluation of Peak Water Demand Factors in Puglia (Southern Italy)." Water 9, no. 2: 96.
This work investigates the routing effect provided by an artificial reservoir to a double-peak flood of a given return period. The present paper introduces a dimensionless form of the reservoir balance equation that describes the hydrologic-hydraulic processes that may occur and allows for the evaluation of the reservoir routing coefficient (RC). Exploiting this equation, an extensive sensitivity analysis based on the use of two simple parametric indices that depend on the storage capacity (SC) of the reservoir, the discharge capacity (DC) of the spillway (with fixed-crest) and the hydrologic behavior of the basin was performed.
Andrea Gioia. Reservoir Routing on Double-Peak Design Flood. Water 2016, 8, 553 .
AMA StyleAndrea Gioia. Reservoir Routing on Double-Peak Design Flood. Water. 2016; 8 (12):553.
Chicago/Turabian StyleAndrea Gioia. 2016. "Reservoir Routing on Double-Peak Design Flood." Water 8, no. 12: 553.
The identification of flood-prone areas is a critical issue becoming everyday more pressing for our society. A preliminary delineation can be carried out by DEM-based procedures that rely on basin geomorphologic features. In the present paper, we investigated the dominant topographic controls for the flood exposure using techniques of pattern classification through linear binary classifiers based on DEM-derived morphologic features. Our findings may help the definition of new strategies for the delineation of flood-prone areas with DEM-based procedures. With this aim, local features—which are generally used to describe the hydrological characteristics of a basin—and composite morphological indices are taken into account in order to identify the most significant one. Analyses are carried out on two different datasets: one based on flood simulations obtained with a 1D hydraulic model, and the second one obtained with a 2D hydraulic model. The analyses highlight the potential of each morphological descriptor for the identification of the extent of flood-prone areas and, in particular, the ability of one geomorphologic index to represent flood-inundated areas at different scales of application.
Salvatore Manfreda; Caterina Samela; Andrea Gioia; Giuseppe Gerardo Consoli; Vito Iacobellis; Luciana Giuzio; Andrea Cantisani; Aurelia Sole. Flood-prone areas assessment using linear binary classifiers based on flood maps obtained from 1D and 2D hydraulic models. Natural Hazards 2015, 79, 735 -754.
AMA StyleSalvatore Manfreda, Caterina Samela, Andrea Gioia, Giuseppe Gerardo Consoli, Vito Iacobellis, Luciana Giuzio, Andrea Cantisani, Aurelia Sole. Flood-prone areas assessment using linear binary classifiers based on flood maps obtained from 1D and 2D hydraulic models. Natural Hazards. 2015; 79 (2):735-754.
Chicago/Turabian StyleSalvatore Manfreda; Caterina Samela; Andrea Gioia; Giuseppe Gerardo Consoli; Vito Iacobellis; Luciana Giuzio; Andrea Cantisani; Aurelia Sole. 2015. "Flood-prone areas assessment using linear binary classifiers based on flood maps obtained from 1D and 2D hydraulic models." Natural Hazards 79, no. 2: 735-754.
Eufemia Tarantino; Antonio Novelli; Maurizio Laterza; Andrea Gioia. Testing high spatial resolution WorldView-2 imagery for retrieving the leaf area index. Remote Sensing 2015, 9535, 95351 .
AMA StyleEufemia Tarantino, Antonio Novelli, Maurizio Laterza, Andrea Gioia. Testing high spatial resolution WorldView-2 imagery for retrieving the leaf area index. Remote Sensing. 2015; 9535 ():95351.
Chicago/Turabian StyleEufemia Tarantino; Antonio Novelli; Maurizio Laterza; Andrea Gioia. 2015. "Testing high spatial resolution WorldView-2 imagery for retrieving the leaf area index." Remote Sensing 9535, no. : 95351.