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Prof. Dr. Francesco Sdao
School of Engineering - University of Basilicata

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Research Keywords & Expertise

0 Hydrogeology
0 Natural Hazard Assessment
0 Artificial Intelligence and Natural Risk
0 Groundwater Pollution Risk Assessment
0 Landslide hazard monitoring and management

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Hydrogeology
Artificial Intelligence and Natural Risk

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Short Biography

Prof. Francesco Sdao is graduated with honors in Geological Science from Università degli Studi di Roma "La Sapienza". Francesco Sdao is full professor and works at the School of Engineering of Basilicata University (Italy), where teaches Engineering Geology. He was associated researcher of the Institute of Methods for Enviromental Analysis (IMAA) of the Research National Council (CNR). He was visiting professor (2006, 2008, 2009, 2010, 2011 accademic years) at the Department of Natural Resources and Environment of the Technological Educational Institute of Crete (TEI) (sect. Chania) (Greece). Francesco Sdao have published, from 1983 unitl now, more than 200 scientific papers published on international journals, on international conference proceedings, on international books. Further, he realized many geomorphological and hydrogeological maps related to some Italian and Greek areas.

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Journal article
Published: 29 December 2020 in Water
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The Metaponto coastal plain extends about 40 km along the Ionian coast, between the Sinni and Bradano Rivers (southern Italy). During the 20th century, the increases in modern irrigation systems, land reclamation works, the overexploitation of wells, and agricultural and industrial activities have deeply modified land use and groundwater availability and quality along the plain. These modifications negatively impacted the natural systems in terms of groundwater and soil salinization, magnifying the risks due to seawater intrusion. In this study, we explored the proneness to seawater intrusion, testing a multidisciplinary approach based on hydrochemical and geophysical investigations. A significant portion of the coastal plain was selected for this purpose. A set of 49 groundwater samples was analyzed to define the chemical characteristics of the water and geoelectrical measurements were recorded along three long profiles. The geoelectrical surveys showed in detail the aquifer bottom pattern where it is deeply incised by paleovalleys, defining the main hydrostratigraphic features, as it is necessary to prevent seawater intrusion worsening. The hydrochemical data highlighted areas with higher seawater intrusion proneness. The acquired measurements show the high proneness to seawater intrusion, especially where the aquifer bottom is very deep below the sea level, also far from the coast, and the relevance of the detailed knowledge of the aquifer bottom in supporting any kind of management.

ACS Style

Rosalba Muzzillo; Livia Emanuela Zuffianò; Enzo Rizzo; Filomena Canora; Luigi Capozzoli; Valeria Giampaolo; Giorgio de Giorgio; Francesco Sdao; Maurizio Polemio. Seawater Intrusion Proneness and Geophysical Investigations in the Metaponto Coastal Plain (Basilicata, Italy). Water 2020, 13, 53 .

AMA Style

Rosalba Muzzillo, Livia Emanuela Zuffianò, Enzo Rizzo, Filomena Canora, Luigi Capozzoli, Valeria Giampaolo, Giorgio de Giorgio, Francesco Sdao, Maurizio Polemio. Seawater Intrusion Proneness and Geophysical Investigations in the Metaponto Coastal Plain (Basilicata, Italy). Water. 2020; 13 (1):53.

Chicago/Turabian Style

Rosalba Muzzillo; Livia Emanuela Zuffianò; Enzo Rizzo; Filomena Canora; Luigi Capozzoli; Valeria Giampaolo; Giorgio de Giorgio; Francesco Sdao; Maurizio Polemio. 2020. "Seawater Intrusion Proneness and Geophysical Investigations in the Metaponto Coastal Plain (Basilicata, Italy)." Water 13, no. 1: 53.

Journal article
Published: 01 July 2020 in Rendiconti Online della Società Geologica Italiana
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This paper contains the application of a heuristic method allowing the assessment of the rockfall risk along a Provincial road in Basilicata (Southern Italy) leading to an important lucanian geosite of growing touristic interest. The rockfall risk evaluation has been performed using an already published method based on the application of an exponential scoring function to several parameters concerning the geological characteristics of the slope and road and traffic data. A specific intensity matrix allowing a better assessment of the parameters linked to the rockfalls is hereafter described.The study case concerns the analysis of a rockfall phenomenon located along a road artery climbing up an important geosite that is to say the Lucanian Dolomites (Southern Italy) and connecting two villages of significant touristic importance: Castelmezzano and Pietrapertosa. The application of the RHRS 2.0 method allowed to obtain a medium risk level.

ACS Style

Lucia Losasso; Francesco Sdao. The Rockfall Risk Assessment along a road of the "Gallipoli-Cognato Regional Park" (Southern Italy). Rendiconti Online della Società Geologica Italiana 2020, 51, 25 -32.

AMA Style

Lucia Losasso, Francesco Sdao. The Rockfall Risk Assessment along a road of the "Gallipoli-Cognato Regional Park" (Southern Italy). Rendiconti Online della Società Geologica Italiana. 2020; 51 ():25-32.

Chicago/Turabian Style

Lucia Losasso; Francesco Sdao. 2020. "The Rockfall Risk Assessment along a road of the "Gallipoli-Cognato Regional Park" (Southern Italy)." Rendiconti Online della Società Geologica Italiana 51, no. : 25-32.

Recent landslides
Published: 17 June 2020 in Landslides
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Pomarico is a very small town in Basilicata, South Italy, historically landslide prone. The latest main landslide started on 25th of January 2019, on the northern east side of the hill, rapidly evolving and causing, on January 29th, the collapse of the main road of the town as well as of the overlooked buildings and serious damages of several buildings of the town. This work introduces the main features of this landslide and the earlier results of the studies on this phenomenon. The main geological characteristics of the site and the morphological features of the landslide are presented. Moreover, the interpretation of the complex failure mechanism as well as an analysis of the singularity of the triggering rainfall event are shown. Finally, this work focuses on the terrestrial radar monitoring system, installed after the event, and its preliminary outcomes.

ACS Style

Angelo Doglioni; Nicola Casagli; Massimiliano Nocentini; Francesco Sdao; Vincenzo Simeone. The landslide of Pomarico, South Italy, occurred on January 29th 2019. Landslides 2020, 17, 2137 -2143.

AMA Style

Angelo Doglioni, Nicola Casagli, Massimiliano Nocentini, Francesco Sdao, Vincenzo Simeone. The landslide of Pomarico, South Italy, occurred on January 29th 2019. Landslides. 2020; 17 (9):2137-2143.

Chicago/Turabian Style

Angelo Doglioni; Nicola Casagli; Massimiliano Nocentini; Francesco Sdao; Vincenzo Simeone. 2020. "The landslide of Pomarico, South Italy, occurred on January 29th 2019." Landslides 17, no. 9: 2137-2143.

Research article
Published: 28 April 2019 in Geofluids
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In this study, the hydrogeological characterization of the northern sector of the Lauria Mounts carbonate hydrostructure (southern Apennines, Basilicata region) has been carried out and the hydrochemical properties of different collected groundwater samples have been characterized. Several normal springs drain the hydrostructure, some of them characterized by high annual mean discharges. Groundwater samples were collected from different springs; many parameters such as pH, electrical conductivity, and total dissolved solids have been measured, and major (cations and anions) elements and stable isotopes have been analysed following standard test procedures. Other chemical characteristics were derived from the analysed quality parameters. The results elucidate that the main hydrogeochemical processes control the chemical content and assess the quality of the groundwater within the hydrostructure. The analyses highlight that the chemical compositions of groundwater are strongly influenced by the lithology, especially limestones and dolomitic limestones; they explain and confirm the hydrogeological setting of the system. The groundwater system displays light different geochemical signatures. The processes contributing to the concentrations of major ions depend primarily on carbonate dissolution. The analysis, in all studied groundwater samples, shows that the facies groundwater type is Ca–HCO3, bicarbonate is the dominant anion, and calcium is the dominant cation with appreciable magnesium concentrations. To identify the aquifer’s recharge areas, the environmental stable isotopes oxygen and hydrogen, deuterium, and 18O were analysed. The unaltered δ18O and δD signatures for the groundwater of the major springs allows identifying the recharge area of these emergencies at elevations ranging from 900 m to 1000 m (a.s.l.), pointing out the presence of deeper flow regime feeding of these springs. The groundwater sample isotopic characteristics of D and 18O suggest that most of the groundwater is recharged directly by infiltration in a high-permeability medium.

ACS Style

Filomena Canora; Giovanna Rizzo; Simona Panariello; Francesco Sdao. Hydrogeology and Hydrogeochemistry of the Lauria Mountains Northern Sector Groundwater Resources (Basilicata, Italy). Geofluids 2019, 2019, 1 -16.

AMA Style

Filomena Canora, Giovanna Rizzo, Simona Panariello, Francesco Sdao. Hydrogeology and Hydrogeochemistry of the Lauria Mountains Northern Sector Groundwater Resources (Basilicata, Italy). Geofluids. 2019; 2019 ():1-16.

Chicago/Turabian Style

Filomena Canora; Giovanna Rizzo; Simona Panariello; Francesco Sdao. 2019. "Hydrogeology and Hydrogeochemistry of the Lauria Mountains Northern Sector Groundwater Resources (Basilicata, Italy)." Geofluids 2019, no. : 1-16.

Conference paper
Published: 26 August 2018 in IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 2018 - Volume 2
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The paper briefly illustrates the main environmental and geological characteristics of the ancient historic centre of Matera, where the rupestrian settlements called “Sassi” are located. It illustrates how these characteristics conditioned the development and safeguarding of the old town. The main purpose of the paper is to present how Matera is an extraordinary example of geological and geo-mechanical features conditioning the human settlement development and their stability and safeguard.

ACS Style

Vincenzo Simeone; Angelo Doglioni; Rosa Maria Lacertosa; Francesco Sdao. Environmental and Geological Characters and Stability Problems in the Historic Centre of Matera (South Italy). IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 2018 - Volume 2 2018, 161 -168.

AMA Style

Vincenzo Simeone, Angelo Doglioni, Rosa Maria Lacertosa, Francesco Sdao. Environmental and Geological Characters and Stability Problems in the Historic Centre of Matera (South Italy). IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 2018 - Volume 2. 2018; ():161-168.

Chicago/Turabian Style

Vincenzo Simeone; Angelo Doglioni; Rosa Maria Lacertosa; Francesco Sdao. 2018. "Environmental and Geological Characters and Stability Problems in the Historic Centre of Matera (South Italy)." IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 2018 - Volume 2 , no. : 161-168.

Conference paper
Published: 04 July 2018 in Privacy Enhancing Technologies
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In the mountainous areas, rockfalls are a common type of massmovements that represents a major cause of fatalities and damages to properties because of their high energy and mobility. For this reason, the assessment of rockfall hazard and risk constitutes an important issue for technicians, administrators and local planners and requires reliable methods, in order to assure a proper land management. This paper is an attempt to assess rockfall susceptibility; in particular, the attention has been focused on the potential rockfall source areas assessment in the territory of the twenty-four Lucanian municipalities belonging to the Pollino National Park (Southern Italy). A DEM-based approach has been used, according to the Slope Angle Distribution (SAD) procedure, allowing to identify the most important Morphological Units of the topography: Cliffs, Steep Slopes, Foot Slopes and Plains. A terrain unit (usually a grid cell) is considered as potential rockfall source when its slope angle lie over an angle threshold, which is defined where the Gaussian distribution of the morphological unit “Cliffs” become dominant over the one of “Steep slopes”. The software Histofit [31] has been a very useful tool for the assessment of rockfall susceptibility. The results of the application of this approach have been compared with the rockfalls niches observed on the field in order to validate the method. Finally, the influence of the cell size of the DEM has been inspected by applying the methodology over two different DEM resolutions (5 m and 20 m).

ACS Style

Rosalba Muzzillo; Lucia LoSasso; Francesco Sdao. Rockfall Source Areas Assessment in an Area of the Pollino National Park (Southern Italy). Privacy Enhancing Technologies 2018, 366 -379.

AMA Style

Rosalba Muzzillo, Lucia LoSasso, Francesco Sdao. Rockfall Source Areas Assessment in an Area of the Pollino National Park (Southern Italy). Privacy Enhancing Technologies. 2018; ():366-379.

Chicago/Turabian Style

Rosalba Muzzillo; Lucia LoSasso; Francesco Sdao. 2018. "Rockfall Source Areas Assessment in an Area of the Pollino National Park (Southern Italy)." Privacy Enhancing Technologies , no. : 366-379.

Conference paper
Published: 04 July 2018 in Privacy Enhancing Technologies
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The carbonate aquifer system of the northern sector of the Lauria Mounts, located in the southern-western part of the Basilicata region (southern Italy), represents a strategic hydrostructure of the Lucanian Apennines for its groundwater resources. Several springs exploited and not, characterized by important groundwater discharges, drain the aquifer system. In recent decades the demand of freshwater is rising in relation to the population needs, land use change and climate variations, rendering water availability in the future uncertain. For these reasons, intensive actions are being done to ensure the effective protection and quantification of the available groundwater resources. In this perspective, the assessment of the aquifer recharge is the starting point for the correct definition of the available groundwater resources, aimed at the delineation of the proper protection and adequate management of these resources. In this study the application of the inverse hydrogeological water balance method to assess the potential aquifer recharge distributed in the hydrogeological basin, has been carried out based on a GIS procedure. The hydrogeological characterization and the groundwater recharge assessment of the carbonate hydrostructure result to be essential to define integrated actions and strategies for groundwater effective protection and sustainable management.

ACS Style

Filomena Canora; Maria Assunta Musto; Francesco Sdao. Groundwater Recharge Assessment in the Carbonate Aquifer System of the Lauria Mounts (Southern Italy) by GIS-Based Distributed Hydrogeological Balance Method. Privacy Enhancing Technologies 2018, 166 -181.

AMA Style

Filomena Canora, Maria Assunta Musto, Francesco Sdao. Groundwater Recharge Assessment in the Carbonate Aquifer System of the Lauria Mounts (Southern Italy) by GIS-Based Distributed Hydrogeological Balance Method. Privacy Enhancing Technologies. 2018; ():166-181.

Chicago/Turabian Style

Filomena Canora; Maria Assunta Musto; Francesco Sdao. 2018. "Groundwater Recharge Assessment in the Carbonate Aquifer System of the Lauria Mounts (Southern Italy) by GIS-Based Distributed Hydrogeological Balance Method." Privacy Enhancing Technologies , no. : 166-181.

Journal article
Published: 01 January 2018 in Geomatics, Natural Hazards and Risk
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ACS Style

Lucia Losasso; Francesco Sdao. The artificial neural network for the rockfall susceptibility assessment. A case study in Basilicata (Southern Italy). Geomatics, Natural Hazards and Risk 2018, 9, 737 -759.

AMA Style

Lucia Losasso, Francesco Sdao. The artificial neural network for the rockfall susceptibility assessment. A case study in Basilicata (Southern Italy). Geomatics, Natural Hazards and Risk. 2018; 9 (1):737-759.

Chicago/Turabian Style

Lucia Losasso; Francesco Sdao. 2018. "The artificial neural network for the rockfall susceptibility assessment. A case study in Basilicata (Southern Italy)." Geomatics, Natural Hazards and Risk 9, no. 1: 737-759.

Conference paper
Published: 06 July 2017 in Transactions on Petri Nets and Other Models of Concurrency XV
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This work consists of the application of a modified method for the landslide risk assessment along a strategic touristic road. The proposed qualitative method is a modification of the original method Rockfall Hazard Rating System (RHRS) developed by Pierson et al. [26] at the Oregon State Highway Division (subsequently modified by other authors) and based on the exponential scoring functions. The proposed application involves a careful analysis of environmental factors that influence the type of the mass movement as the slope, the use of the soil, the climatic conditions and the lithology, as such as parameters related to the structural characteristics of roads and traffic for example the road width, the number of lanes in each direction and the Average Vehicle Risk. The use of the different technical approaches, like double entry matrices and the implementation, for a few steps, of an Artificial Neural Network (ANN) allows to assess the analyzed landslide intensity, as well as the probability that it will occur in a given area along a transportation corridor. The application of such method involves a first phase of the data retrieval followed by a subsequent implementation and processing in a GIS softwares. The analysis carried out has been characterized by a step aimed at obtaining different layers, essential for the classification of the landsliding predisposing factors cataloged according to a final score by identifying the five risk threshold classes. So, in order to prepare appropriate interventions of protection and monitoring (if necessary, e.g. evacuation plans), underling the most dangerous areas has been fundamental.

ACS Style

Lucia LoSasso; Carmela Rinaldi; Domenico Alberico; Francesco Sdao. Landslide Risk Analysis Along Strategic Touristic Roads in Basilicata (Southern Italy) Using the Modified RHRS 2.0 Method. Transactions on Petri Nets and Other Models of Concurrency XV 2017, 10404, 761 -776.

AMA Style

Lucia LoSasso, Carmela Rinaldi, Domenico Alberico, Francesco Sdao. Landslide Risk Analysis Along Strategic Touristic Roads in Basilicata (Southern Italy) Using the Modified RHRS 2.0 Method. Transactions on Petri Nets and Other Models of Concurrency XV. 2017; 10404 ():761-776.

Chicago/Turabian Style

Lucia LoSasso; Carmela Rinaldi; Domenico Alberico; Francesco Sdao. 2017. "Landslide Risk Analysis Along Strategic Touristic Roads in Basilicata (Southern Italy) Using the Modified RHRS 2.0 Method." Transactions on Petri Nets and Other Models of Concurrency XV 10404, no. : 761-776.

Conference paper
Published: 21 May 2017 in Advancing Culture of Living with Landslides
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This paper deals with mass movement risk assessment along roads using a modified qualitative method. In fact, one of the most important problems for transportation corridors is linked to the risk caused by natural phenomena like mass movements and landslides. These events could cause serious damage to people and properties. In particular the roads and motorways, more so than the other communication lines, assume an important role especially in the emergency conditions because their inefficiency could cause substantial damages connected to delays in rescue operations, creating other inconveniences such as social and economic problems. The applied method regards the use of exponential scoring functions allowing the assessment of landslide risk along roads. It has been applied to the three main transportation corridors of the Dolomiti Lucane, in Basilicata (Southern Italy). This method represents an important tool for the preliminary mapping of the landslides risk along roads, allowing researcher to identify the most dangerous slopes and the roads sections that need more detailed investigations and, later, urgent remedial works.

ACS Style

Lucia LoSasso; Stefania Pascale; Francesco Sdao. Landslides Risk Assessment Along Roads: The Transportation Corridors of the “Dolomiti Lucane” (Basilicata). Advancing Culture of Living with Landslides 2017, 661 -667.

AMA Style

Lucia LoSasso, Stefania Pascale, Francesco Sdao. Landslides Risk Assessment Along Roads: The Transportation Corridors of the “Dolomiti Lucane” (Basilicata). Advancing Culture of Living with Landslides. 2017; ():661-667.

Chicago/Turabian Style

Lucia LoSasso; Stefania Pascale; Francesco Sdao. 2017. "Landslides Risk Assessment Along Roads: The Transportation Corridors of the “Dolomiti Lucane” (Basilicata)." Advancing Culture of Living with Landslides , no. : 661-667.

Original paper
Published: 06 March 2017 in Landslides
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In this work an overview of the potential rock fall source areas and propagation assessment in the Province of Potenza territory has been presented. The rock fall process is characterized by two steps: the detachment of blocks and subsequently their propagation along the slope. The adopted methodology, used for the first time in the study area, and the software Histofit and FlowR have been very useful tools for the preliminary assessment of rock fall susceptibility at a regional scale, in particular because they have required low data of the study area. Only the DEM may be sufficient together with an appropriate choice of the input parameters and algorithms, that is to say: calculation method, directions algorithm, inertial algorithm and friction loss function. The output of the model is a map of the rock fall source areas, the propagation probabilities and the propagation kinetic energy. The results show that the adopted methodology is successful for the identification of rock fall source areas at a regional scale and the propagation probability obtaining an interesting rock fall susceptibility map.

ACS Style

Lucia Losasso; Michel Jaboyedoff; Francesco Sdao. Potential rock fall source areas identification and rock fall propagation in the province of Potenza territory using an empirically distributed approach. Landslides 2017, 14, 1593 -1602.

AMA Style

Lucia Losasso, Michel Jaboyedoff, Francesco Sdao. Potential rock fall source areas identification and rock fall propagation in the province of Potenza territory using an empirically distributed approach. Landslides. 2017; 14 (5):1593-1602.

Chicago/Turabian Style

Lucia Losasso; Michel Jaboyedoff; Francesco Sdao. 2017. "Potential rock fall source areas identification and rock fall propagation in the province of Potenza territory using an empirically distributed approach." Landslides 14, no. 5: 1593-1602.

Journal article
Published: 01 November 2016 in Rendiconti Online della Società Geologica Italiana
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ACS Style

Lucia >Losasso; Marc-Henr Derron; Pascal Horton; Michel Jaboyedoff; Francesco Sdao. Definition and mapping of potential rockfall source and propagation areas at a regional scale in Basilicata region (Southern Italy). Rendiconti Online della Società Geologica Italiana 2016, 41, 175 -178.

AMA Style

Lucia >Losasso, Marc-Henr Derron, Pascal Horton, Michel Jaboyedoff, Francesco Sdao. Definition and mapping of potential rockfall source and propagation areas at a regional scale in Basilicata region (Southern Italy). Rendiconti Online della Società Geologica Italiana. 2016; 41 ():175-178.

Chicago/Turabian Style

Lucia >Losasso; Marc-Henr Derron; Pascal Horton; Michel Jaboyedoff; Francesco Sdao. 2016. "Definition and mapping of potential rockfall source and propagation areas at a regional scale in Basilicata region (Southern Italy)." Rendiconti Online della Società Geologica Italiana 41, no. : 175-178.

Conference paper
Published: 01 July 2016 in Transactions on Petri Nets and Other Models of Concurrency XV
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ACS Style

Lucia Losasso; Stefania Pascale; Francesco Sdao. Rockfall Hazard Assessment in an Area of the “Parco Archeologico Storico-Naturale Delle Chiese Rupestri” of Matera (Basilicata Southern–Italy). Transactions on Petri Nets and Other Models of Concurrency XV 2016, 496 -511.

AMA Style

Lucia Losasso, Stefania Pascale, Francesco Sdao. Rockfall Hazard Assessment in an Area of the “Parco Archeologico Storico-Naturale Delle Chiese Rupestri” of Matera (Basilicata Southern–Italy). Transactions on Petri Nets and Other Models of Concurrency XV. 2016; ():496-511.

Chicago/Turabian Style

Lucia Losasso; Stefania Pascale; Francesco Sdao. 2016. "Rockfall Hazard Assessment in an Area of the “Parco Archeologico Storico-Naturale Delle Chiese Rupestri” of Matera (Basilicata Southern–Italy)." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 496-511.

Editorial
Published: 27 June 2016 in Applied and Environmental Soil Science
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ACS Style

Pantelis Soupios; Victor Kavvadias; Katherine Huddersman; Francesco Sdao; Dimitrios Ntarlagiannis. Integrated Approaches to Soil Contamination Monitoring. Applied and Environmental Soil Science 2016, 2016, 1 -2.

AMA Style

Pantelis Soupios, Victor Kavvadias, Katherine Huddersman, Francesco Sdao, Dimitrios Ntarlagiannis. Integrated Approaches to Soil Contamination Monitoring. Applied and Environmental Soil Science. 2016; 2016 ():1-2.

Chicago/Turabian Style

Pantelis Soupios; Victor Kavvadias; Katherine Huddersman; Francesco Sdao; Dimitrios Ntarlagiannis. 2016. "Integrated Approaches to Soil Contamination Monitoring." Applied and Environmental Soil Science 2016, no. : 1-2.

Book chapter
Published: 06 June 2016 in Landslides and Engineered Slopes. Experience, Theory and Practice
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ACS Style

R Pellicani; G Spilotro; R Ermini; F Sdao. The large Montescaglioso landslide of December 2013 after prolonged and severe seasonal climate conditions. Landslides and Engineered Slopes. Experience, Theory and Practice 2016, 1591 -1597.

AMA Style

R Pellicani, G Spilotro, R Ermini, F Sdao. The large Montescaglioso landslide of December 2013 after prolonged and severe seasonal climate conditions. Landslides and Engineered Slopes. Experience, Theory and Practice. 2016; ():1591-1597.

Chicago/Turabian Style

R Pellicani; G Spilotro; R Ermini; F Sdao. 2016. "The large Montescaglioso landslide of December 2013 after prolonged and severe seasonal climate conditions." Landslides and Engineered Slopes. Experience, Theory and Practice , no. : 1591-1597.

Journal article
Published: 01 June 2015 in Journal of Environmental Accounting and Management
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ACS Style

Rosalba Muzzillo; Stefania Pascale; Francesco Sdao. Hydrogeology and Vulnerability to Pollution of Carbonate Aquifers in the High Valley of the Basento River (Lucanian Apennines, Southern Italy). Journal of Environmental Accounting and Management 2015, 3, 181 -196.

AMA Style

Rosalba Muzzillo, Stefania Pascale, Francesco Sdao. Hydrogeology and Vulnerability to Pollution of Carbonate Aquifers in the High Valley of the Basento River (Lucanian Apennines, Southern Italy). Journal of Environmental Accounting and Management. 2015; 3 (2):181-196.

Chicago/Turabian Style

Rosalba Muzzillo; Stefania Pascale; Francesco Sdao. 2015. "Hydrogeology and Vulnerability to Pollution of Carbonate Aquifers in the High Valley of the Basento River (Lucanian Apennines, Southern Italy)." Journal of Environmental Accounting and Management 3, no. 2: 181-196.

Science
Published: 02 June 2014 in Journal of Maps
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In the Basilicata region (South Italy) slope movements, caused by soft rocks, rapid tectonic uplift, earthquakes, and seasonally heavy precipitation, constitute one of the major geologic hazards. For this reason a detailed inventory map of mass movements has been created in a test area of south-eastern Basilicata. The map was compiled from field surveys and multi-temporal air photo interpretation. For each landslide, the map depicts the state of activity and dominant type of slope movement. The integration and analysis of the data obtained by using a geographic information system has produced the mass movements inventory map at a scale of 1:25,000. Mass movements are widespread and play a key role in the landscape evolution of the study area. A total of 175 landslides were recognized, occupying a surface area of 16.2 km2, about 9% of the whole basin of interest. The spatial distribution and type of mass movements are mainly related to the lithology and structural features. Field surveys coupled with interpretation of multi-temporal aerial photos allowed us to distinguish between active (20.6%) and inactive (79.4%) landslides. Mass movements, mapped on the basis of movement type, are represented by slides, flows and complex landslides. The complex and slide type movements are very common, and represent more than 86% of the landslides mapped.

ACS Style

Massimo Conforti; Stefania Pascale; Francesco Sdao. Mass movements inventory map of the Rubbio stream catchment (Basilicata – South Italy). Journal of Maps 2014, 11, 454 -463.

AMA Style

Massimo Conforti, Stefania Pascale, Francesco Sdao. Mass movements inventory map of the Rubbio stream catchment (Basilicata – South Italy). Journal of Maps. 2014; 11 (3):454-463.

Chicago/Turabian Style

Massimo Conforti; Stefania Pascale; Francesco Sdao. 2014. "Mass movements inventory map of the Rubbio stream catchment (Basilicata – South Italy)." Journal of Maps 11, no. 3: 454-463.

Journal article
Published: 12 March 2014 in Natural Hazards and Earth System Sciences
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This paper represents a contribution to the study of hazard caused by the interaction between landslides and river courses. The effects of such interferences are often catastrophic and could include the formation of upstream lakes, potential dam failure, river bed dynamics and morphological alterations. These scenarios could be substantially reduced if it was possible to predict the eventuality that a moving landslide would block the river. This is a complex topic because it involves composite geomorphic phenomena concerning both hillslope and river systems and their interpretation, through model approaches, is still under development and testing. In this study, a methodology developed in the framework of European Research Project IMPRINTS (FP7) was adopted and integrated in order to identify the areas of triggering and propagation of landslides and to characterize the possible scenarios of the interaction with river networks. Different deterministic and probabilistic approaches, calibrated using a case test in the middle valley of the Noce River in Basilicata (Italy), were applied and compared at basin scale.

ACS Style

S. F. Dal Sasso; A. Sole; S. Pascale; F. Sdao; A. Bateman Pinzòn; V. Medina. Assessment methodology for the prediction of landslide dam hazard. Natural Hazards and Earth System Sciences 2014, 14, 557 -567.

AMA Style

S. F. Dal Sasso, A. Sole, S. Pascale, F. Sdao, A. Bateman Pinzòn, V. Medina. Assessment methodology for the prediction of landslide dam hazard. Natural Hazards and Earth System Sciences. 2014; 14 (3):557-567.

Chicago/Turabian Style

S. F. Dal Sasso; A. Sole; S. Pascale; F. Sdao; A. Bateman Pinzòn; V. Medina. 2014. "Assessment methodology for the prediction of landslide dam hazard." Natural Hazards and Earth System Sciences 14, no. 3: 557-567.

Journal article
Published: 01 February 2014 in CATENA
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Landslides are one of the most widespread natural hazards that cause damage to both property and life every\ud year, and therefore, the spatial distribution of the landslide susceptibility is necessary for planning future developmental\ud activities. In this paper the artificial neural network (ANN) technique is tested for developing a landslide\ud susceptibility map in Turbolo River catchment, North Calabria, South Italy.\ud Landslideswere mapped through air-photo interpretation and field surveys, by identifying both the landslide depletion\ud zones (DZs) and accumulation zones (AZs); and relevant geo-environmental thematic layers pertaining\ud to landslide predisposing factors were generated using air-photo interpretation, field surveys and Geographic Information\ud System (GIS) tools. Ten predisposing factors were related to the occurrence of landslide: lithology,\ud faults, land use, drainage network, and a series of topographic factors: elevation, slope, aspect, plan curvature, topographic\ud wetness index (TWI) and stream power index (SPI).\ud In order to evaluate and validate landslide susceptibility, the DZs were divided in twogroups using a randompartition\ud strategy. The first group (training set) was used to prepare the susceptibility map, employing a backpropagation\ud learning algorithm in the Idrisi Taiga software. The second group (testing set) was used to validate\ud the landslide susceptibility model, using the confusion matrix and the receiver operating characteristic (ROC)\ud curve.\ud The susceptibilitymapwas classified into five susceptibility classes: very low, low, moderate, high, and very high.\ud About 46% of the study area falls in high to very high susceptible classes and most of the DZs mapped (87.3%)\ud occur in the same classes.\ud The validation results showed satisfactory agreement between the susceptibilitymap and the DZs locations; over\ud 85% of the DZs of the validation set are correctly classified falling in high and very high susceptibility areas. Also,\ud the ROC curve had shown an area under curve (AUC) value of 0.90which demonstrates the robustness and good\ud reliability of the landslide susceptibilitymodel. According to these results,we conclude that the map produced by\ud the artificial neural network is reliable and the methodology applied in the study produced high performance,\ud and satisfactory results, which may be useful for land planning policy

ACS Style

Massimo Conforti; Stefania Pascale; Gaetano Robustelli; Francesco Sdao. Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the Turbolo River catchment (northern Calabria, Italy). CATENA 2014, 113, 236 -250.

AMA Style

Massimo Conforti, Stefania Pascale, Gaetano Robustelli, Francesco Sdao. Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the Turbolo River catchment (northern Calabria, Italy). CATENA. 2014; 113 ():236-250.

Chicago/Turabian Style

Massimo Conforti; Stefania Pascale; Gaetano Robustelli; Francesco Sdao. 2014. "Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the Turbolo River catchment (northern Calabria, Italy)." CATENA 113, no. : 236-250.

Conference paper
Published: 01 January 2014 in Transactions on Petri Nets and Other Models of Concurrency XV
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ACS Style

Stefania Pascale; Jessica Bellanova; Lucia Losasso; Angela Perrone; Alessandro Giocoli; Sabatino Piscitelli; Beniamino Murgante; Francesco Sdao. Geomorphological Fragility and Mass Movements of the Archaeological Area of “Torre di Satriano” (Basilicata, Southern Italy). Transactions on Petri Nets and Other Models of Concurrency XV 2014, 495 -510.

AMA Style

Stefania Pascale, Jessica Bellanova, Lucia Losasso, Angela Perrone, Alessandro Giocoli, Sabatino Piscitelli, Beniamino Murgante, Francesco Sdao. Geomorphological Fragility and Mass Movements of the Archaeological Area of “Torre di Satriano” (Basilicata, Southern Italy). Transactions on Petri Nets and Other Models of Concurrency XV. 2014; ():495-510.

Chicago/Turabian Style

Stefania Pascale; Jessica Bellanova; Lucia Losasso; Angela Perrone; Alessandro Giocoli; Sabatino Piscitelli; Beniamino Murgante; Francesco Sdao. 2014. "Geomorphological Fragility and Mass Movements of the Archaeological Area of “Torre di Satriano” (Basilicata, Southern Italy)." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 495-510.