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Chief Operating Officier of GEOexplorer Impresa Sociale S.r.l., an Italian innovative SME, and Head of Geophysics and Hydrogeology Sector at CGT Center for GeoTechnologies of University of Siena (Italy). I’m coordinating consulting and research activities mainly concerning hydrogeology, geostatistics, environmental geology, applied geophysics. I’ve obtained a degree in geology sciences in November 1999 (Univ. Siena) and a MSc in Mining and Environmental Geostatistics (Univ. Leeds, UK). In November 2005, I achieved a PhD (XVII cycle) at the University of Siena, School of Earth Science (Italy). During more than 20 years of experience, I’ve gained skills in several fields as geologist and hydrogeologist, as specialist in environmental hydrology, statistics and geostatistics, spatial analysis, remote sensing, GIS, natural radioactivity, environmental pollution and remediation. Since 2005, I hae been a lecturer at the University of Siena at the CGT of University of Siena, besides other courses all around the world. Publons: Web of Science ResearcherID M-3064-2013; ORCID ID: 0000-0002-5756-3539; Scopus Author ID: 24528399700.
The hydrogeochemical characteristics of the significant subterranean water body between “Cecina River and San Vincenzo” (Italy) was evaluated using multivariate statistical analysis methods, like principal component analysis and self-organizing maps (SOMs), with the objective to study the spatiotemporal relationships of the aquifer. The dataset used consisted of the chemical composition of groundwater samples collected between 2010 and 2018 at 16 wells distributed across the whole aquifer. For these wells, all major ions were determined. A self-organizing map of 4 × 8 was constructed to evaluate spatiotemporal changes in the water body. After SOM clustering, we obtained three clusters that successfully grouped all data with similar chemical characteristics. These clusters can be viewed to reflect the presence of three water types: (i) Cluster 1: low salinity/mixed waters; (ii) Cluster 2: high salinity waters; and (iii) Cluster 3: low salinity/fresh waters. Results showed that the major ions had the greater influence over the groundwater chemistry, and the difference in their concentrations allowed the definition of three clusters among the obtained SOM. Temporal changes in cluster assignment were only observed in two wells, located in areas more susceptible to changes in the water table levels, and therefore, hydrodynamic conditions. The result of the SOM clustering was also displayed using the classical hydrochemical approach of the Piper plot. It was observed that these changes were not as easily identified when the raw data were used. The spatial display of the clustering results, allowed the evaluation in a hydrogeological context in a quick and cost-effective way. Thus, our approach can be used to quickly analyze large datasets, suggest recharge areas, and recognize spatiotemporal patterns.
Alessia Bastianoni; Enrico Guastaldi; Alessio Barbagli; Stefano Bernardinetti; Andrea Zirulia; Mariantonietta Brancale; Tommaso Colonna. Multivariate Analysis Applied to Aquifer Hydrogeochemical Evaluation: A Case Study in the Coastal Significant Subterranean Water Body between “Cecina River and San Vincenzo”, Tuscany (Italy). Applied Sciences 2021, 11, 7595 .
AMA StyleAlessia Bastianoni, Enrico Guastaldi, Alessio Barbagli, Stefano Bernardinetti, Andrea Zirulia, Mariantonietta Brancale, Tommaso Colonna. Multivariate Analysis Applied to Aquifer Hydrogeochemical Evaluation: A Case Study in the Coastal Significant Subterranean Water Body between “Cecina River and San Vincenzo”, Tuscany (Italy). Applied Sciences. 2021; 11 (16):7595.
Chicago/Turabian StyleAlessia Bastianoni; Enrico Guastaldi; Alessio Barbagli; Stefano Bernardinetti; Andrea Zirulia; Mariantonietta Brancale; Tommaso Colonna. 2021. "Multivariate Analysis Applied to Aquifer Hydrogeochemical Evaluation: A Case Study in the Coastal Significant Subterranean Water Body between “Cecina River and San Vincenzo”, Tuscany (Italy)." Applied Sciences 11, no. 16: 7595.
The authorities of Constantine city have been working on the redevelopment and calibration of the Rhumel and Boumerzoug wadis since 2015. The latter calebrage works caused great damage to the banks, thus affecting the Quaternary geological formations in place (alluvial terraces, flood plains). A multidisciplinary research project based on a geomorphological and sedimentological approach was quickly set up to create a scientific data base before their total destruction and loss of physical traces all along the wadis. The present study focuses on the sedimentological and geochemical analysis of the alluvial deposits of Boumerzoug wadi in order to describe the sediments, to reconstitute their nature, and to interpret both the climatic evolution and the paleo-environments of the region. Sedimentological and geochemical results confirm the succession of deposition cycles linked to progressive climate change.
Noureddine Rabahi; Foued Djaiz; Nabil Defaflia; Enrico Guastaldi; Abdelouahab Amroune. THE VERTICAL DISTRIBUTION OF THE ALLUVIAL CHEMO-FACIES OF BOUMERZOUG WADI, CONSTANTINE, NORTHEASTERN ALGERIA: PALEOENVEROMENTAL SIGNIFICANCE AND CLIMATE EVOLUTION. Analele Universităţii din Oradea, Seria Geografie 2021, 31, 68 -79.
AMA StyleNoureddine Rabahi, Foued Djaiz, Nabil Defaflia, Enrico Guastaldi, Abdelouahab Amroune. THE VERTICAL DISTRIBUTION OF THE ALLUVIAL CHEMO-FACIES OF BOUMERZOUG WADI, CONSTANTINE, NORTHEASTERN ALGERIA: PALEOENVEROMENTAL SIGNIFICANCE AND CLIMATE EVOLUTION. Analele Universităţii din Oradea, Seria Geografie. 2021; 31 (1):68-79.
Chicago/Turabian StyleNoureddine Rabahi; Foued Djaiz; Nabil Defaflia; Enrico Guastaldi; Abdelouahab Amroune. 2021. "THE VERTICAL DISTRIBUTION OF THE ALLUVIAL CHEMO-FACIES OF BOUMERZOUG WADI, CONSTANTINE, NORTHEASTERN ALGERIA: PALEOENVEROMENTAL SIGNIFICANCE AND CLIMATE EVOLUTION." Analele Universităţii din Oradea, Seria Geografie 31, no. 1: 68-79.
Two small Maltese aquifers, Mizieb and Pwales, were numerically analyzed to test the existing hydrogeological conceptual model and suggest optimized groundwater monitoring strategies in support of the forthcoming monitoring network coordinated by the Government of Malta through the Energy and Water Agency. The model will undergo further revision of the concepts on which it is based as soon as new data is available, considering the conceptual and numerical model development as parallel activities, rather than as sequential. The model structure and parameter estimation made use of qualitative information and data acquired by archive research; during model calibration information/assumptions were introduced as “prior information” while the available measurements were introduced as classical “observations” with proper associated weight. The information content of both qualitative and quantitative data could be assimilated along the calibration process, highlighting the uncertainties and open questions that remain because of data insufficiency.
Francesca Lotti; Iacopo Borsi; Enrico Guastaldi; Alessio Barbagli; Paolo Basile; Lorenzo Favaro; Adrian Mallia; Rachel Xuereb; Michael Schembri; Julian Alexander Mamo; Francesco Demichele; Manuel Sapiano. NECoM (Numerically Enhanced COnceptual Modelling) of two small Maltese Aquifers: Mizieb and Pwales. Acque Sotterranee - Italian Journal of Groundwater 2021, 10, 1 .
AMA StyleFrancesca Lotti, Iacopo Borsi, Enrico Guastaldi, Alessio Barbagli, Paolo Basile, Lorenzo Favaro, Adrian Mallia, Rachel Xuereb, Michael Schembri, Julian Alexander Mamo, Francesco Demichele, Manuel Sapiano. NECoM (Numerically Enhanced COnceptual Modelling) of two small Maltese Aquifers: Mizieb and Pwales. Acque Sotterranee - Italian Journal of Groundwater. 2021; 10 (1):1.
Chicago/Turabian StyleFrancesca Lotti; Iacopo Borsi; Enrico Guastaldi; Alessio Barbagli; Paolo Basile; Lorenzo Favaro; Adrian Mallia; Rachel Xuereb; Michael Schembri; Julian Alexander Mamo; Francesco Demichele; Manuel Sapiano. 2021. "NECoM (Numerically Enhanced COnceptual Modelling) of two small Maltese Aquifers: Mizieb and Pwales." Acque Sotterranee - Italian Journal of Groundwater 10, no. 1: 1.
Conventional hydrogeological practice is to formulate a conceptual model, which is often the basis of a numerical model. The numerical model is then used to test groundwater management strategies. A workflow is proposed, employing the numerically enhanced conceptual model (NECoM) of the Mean Sea Level Aquifer (MSLA) on the island of Malta. The Malta MSLA is overexploited and under threat of salinization. Data (heads, chloride concentrations, electrical conductivity logs, tidal tests and qualitative analyses) were assimilated into a fast-running numerical model. Simultaneously, strategies for optimal acquisition of further data were examined through the modelling process. The model was delivered through the Energy and Water Agency, with suggestions for flexible model deployment. These workflows will, hopefully, spawn model improvements through further revision of the base concepts. The model allows the agency to make predictions, which have uncertainties that are quantified and reduced through data assimilation as new data become available. Contemplated management plans can therefore be properly assessed before implementation. The proposed NECoM approach can be generalized since it bases model usage on the premise that modelling should make maximum use of existing data by assimilating its information content, thereby highlighting the uncertainties of decision-critical predictions that remain because of data insufficiency. Thus, the presently disjointed process of modelling on the one hand, and data acquisition on the other, can be better aligned. Conceptual and numerical model development become parallel, rather than sequential, activities. Together, they enable predictions of future system behaviour for which bias is reduced and uncertainties quantified.
Francesca Lotti; Iacopo Borsi; Enrico Guastaldi; Alessio Barbagli; Paolo Basile; Lorenzo Favaro; Adrian Mallia; Rachel Xuereb; Michael Schembri; Julian Alexander Mamo; Manuel Sapiano. Numerically enhanced conceptual modelling (NECoM) applied to the Malta Mean Sea Level Aquifer. Hydrogeology Journal 2021, 29, 1517 -1537.
AMA StyleFrancesca Lotti, Iacopo Borsi, Enrico Guastaldi, Alessio Barbagli, Paolo Basile, Lorenzo Favaro, Adrian Mallia, Rachel Xuereb, Michael Schembri, Julian Alexander Mamo, Manuel Sapiano. Numerically enhanced conceptual modelling (NECoM) applied to the Malta Mean Sea Level Aquifer. Hydrogeology Journal. 2021; 29 (4):1517-1537.
Chicago/Turabian StyleFrancesca Lotti; Iacopo Borsi; Enrico Guastaldi; Alessio Barbagli; Paolo Basile; Lorenzo Favaro; Adrian Mallia; Rachel Xuereb; Michael Schembri; Julian Alexander Mamo; Manuel Sapiano. 2021. "Numerically enhanced conceptual modelling (NECoM) applied to the Malta Mean Sea Level Aquifer." Hydrogeology Journal 29, no. 4: 1517-1537.
Hydrological Mediterranean situation has undergone rapid changes over the last years. This fact causes heavy consequences for both regional water authorities and water utilities to properly plan the future groundwater management. This work analyzes the presence of hydrological changes at local scales, through the reconstruction and time series analysis of hydroclimatic variables (precipitation and temperature) in a coastal Tuscany watershed. For this purpose, the following statistical analyses were performed: (a) change point analysis; (b) Mann–Kendall and Sen’s slope tests; (c) precipitation concentration index calculation; (d) analysis of anomalous data; (e) Autoregressive Integrated Moving Average model (ARIMA). The climate variation impact on the water cycle for the study area was then assessed. Although a significant temperature trend was not defined, it is possible to observe a growing trend starting from 1990, as confirmed by larger scale studies. The results of the Mann–Kendall test (p value = 7.3425e−06) and of the Sen’s slope test (− 6.6) for annual precipitation show a statistically significant tendency to decrease, enough to cause a shift in rainfall regimes. The average monthly precipitation values fitted by the ARIMA model show a decrease in time with a maximum expected monthly precipitation of 170 mm (95% confidence level). This scenario reflects rainfall change pattern observed in the study area, where rainfall regime starts in 1990 from sub-humid climate system (annual precipitation between 600 and 1200 mm) to reach a semi-arid one today, with the annual precipitation ranging, at the present day, between 400 and 600 mm (about − 40% respect the previous 30 years).
Andrea Zirulia; Mariantonietta Brancale; Alessio Barbagli; Enrico Guastaldi; Tommaso Colonna. Hydrological changes: are they present at local scales? Rendiconti Lincei. Scienze Fisiche e Naturali 2021, 32, 295 -309.
AMA StyleAndrea Zirulia, Mariantonietta Brancale, Alessio Barbagli, Enrico Guastaldi, Tommaso Colonna. Hydrological changes: are they present at local scales? Rendiconti Lincei. Scienze Fisiche e Naturali. 2021; 32 (2):295-309.
Chicago/Turabian StyleAndrea Zirulia; Mariantonietta Brancale; Alessio Barbagli; Enrico Guastaldi; Tommaso Colonna. 2021. "Hydrological changes: are they present at local scales?" Rendiconti Lincei. Scienze Fisiche e Naturali 32, no. 2: 295-309.
In this paper, we present results of tectonic and geophysical investigations in the Kenya Rift valley, in the Nakuru area. We compiled a detailed geological map of the area based on published earlier works, well data and satellite imagery. The map was then integrated with original fieldwork and cross sections were constructed. In key areas, we then performed geophysical survey using Electrical Resistivity Tomography (ERT), Hybrid Source Audio MagnetoTelluric (HSAMT), and single station passive seismic measurements (HVSR). In the study area, a volcano-sedimentary succession of the Neogene-Quaternary age characterized by basalts, trachytes, pyroclastic rocks, and tephra with intercalated lacustrine and fluvial deposits crops out. Faulting linked with rift development is evident and occurs throughout the area crosscutting all rock units. We show a rotation of the extension in this portion of the Kenya rift with the NE–SW extension direction of a Neogene-Middle Pleistocene age, followed by the E–W extension direction of an Upper Pleistocene-Present age. Geophysical investigations allowed to outline main lithostratigraphic units and tectonic features at depth and were also useful to infer main cataclasites and fractured rock bodies, the primary paths for water flow in rocks. These investigations are integrated in a larger EU H2020 Programme aimed to produce a geological and hydrogeological model of the area to develop a sustainable water management system.
Paolo Conti; Marco Pistis; Stefano Bernardinetti; Alessio Barbagli; Andrea Zirulia; Lisa Serri; Tommaso Colonna; Enrico Guastaldi; Giorgio Ghiglieri. Tectonic Setting of the Kenya Rift in the Nakuru Area, Based on Geophysical Prospecting. Geosciences 2021, 11, 80 .
AMA StylePaolo Conti, Marco Pistis, Stefano Bernardinetti, Alessio Barbagli, Andrea Zirulia, Lisa Serri, Tommaso Colonna, Enrico Guastaldi, Giorgio Ghiglieri. Tectonic Setting of the Kenya Rift in the Nakuru Area, Based on Geophysical Prospecting. Geosciences. 2021; 11 (2):80.
Chicago/Turabian StylePaolo Conti; Marco Pistis; Stefano Bernardinetti; Alessio Barbagli; Andrea Zirulia; Lisa Serri; Tommaso Colonna; Enrico Guastaldi; Giorgio Ghiglieri. 2021. "Tectonic Setting of the Kenya Rift in the Nakuru Area, Based on Geophysical Prospecting." Geosciences 11, no. 2: 80.
The Highlands region, in Algeria, covers an area about 260,000 km2 wide and it is populated by more than 10 million inhabitants, whose activities are overstressing the water resource. As a case study to test a workflow, based on solid proven methodologies, the Algerian highlands climatic assessment was performed by analyzing precipitation, temperature, and evapotranspiration data (from 1985 to 2014), then by computing the aridity index, the standardized precipitation index, and the normalized difference vegetation index (NDVI), and by modeling the stochastic time series in order to predict climatic parameters using autoregressive integrated moving average (ARIMA) models. The seasonal-ARIMA (SARIMA) model performed better than the other models and returned significant p values for all the studied variables. An increasing trend in precipitation was detected for most of the study area, while no significant trend in temperature or evapotranspiration was usually detected. The trends were confirmed by the SARIMA forecasted model (2015–2024). Furthermore, the forecast model results were compared with the NDVI index for the periods of 2010–2014 and 2015–2020. This difference confirmed the results obtained in terms of precipitation trends for the forecast between 2015 and 2024 by an increase in the NDVI index in most of the study area. The proposed workflow could be reliable for water resource management and planning in order to help decision makers to face climate change.
Imad-Eddine Bouznad; Enrico Guastaldi; Andrea Zirulia; Mariantonietta Brancale; Alessio Barbagli; Djamal Bengusmia. Trend analysis and spatiotemporal prediction of precipitation, temperature, and evapotranspiration values using the ARIMA models: case of the Algerian Highlands. Arabian Journal of Geosciences 2020, 13, 1 -17.
AMA StyleImad-Eddine Bouznad, Enrico Guastaldi, Andrea Zirulia, Mariantonietta Brancale, Alessio Barbagli, Djamal Bengusmia. Trend analysis and spatiotemporal prediction of precipitation, temperature, and evapotranspiration values using the ARIMA models: case of the Algerian Highlands. Arabian Journal of Geosciences. 2020; 13 (24):1-17.
Chicago/Turabian StyleImad-Eddine Bouznad; Enrico Guastaldi; Andrea Zirulia; Mariantonietta Brancale; Alessio Barbagli; Djamal Bengusmia. 2020. "Trend analysis and spatiotemporal prediction of precipitation, temperature, and evapotranspiration values using the ARIMA models: case of the Algerian Highlands." Arabian Journal of Geosciences 13, no. 24: 1-17.
The three-dimensional alluvial aquifer reconstruction through deterministic method from well stratigraphical data is a well-known problem. The purpose of this study concerns the realization of a geostatistical stochastic model based on 1d Markov chains with the use of T-PROGS codes of GMS Aquaveo.This method allows to obtain the vertical transition probability of the alluvial deposits and propagate them to x-y plane through the application of Walther law. The Val di Cornia valley and San Vincenzo coastal plain constitute a unique multilayered coastal aquifer, which extends over an area of 170 square kilometers, in the southern coast of Tuscany (Italy), and it is the results of the erosional and depositional processes of the Cornia river. The better understanding of this aquiferis a crucial issue, due to its regional importance and for managing the increasing saltwater intrusion, which affects the area during the last 50 years.The model realization was initially based on 300 stratigraphic data logs coming from a water well database implemented by local authorities, subsequently integrated with HVSR data acquired for this work. The stratigraphic data were digitized and simplified in order to permit a better reconstruction. The control of the qualityof the input data allowed to eliminate the stratigraphic logs that could be inconsistent with the surrounding ones, in order to avoid interpretation problems of the conceptual geological model. This filtering operation led, finally, to the selection of only 140 stratigraphic logs.The processing of this data allowed the reconstruction of the bottom of the model (the bedrock) and the realization of n-equiprobable simulations of the sedimentary hetereogeneity.The obtained geological model will allow the realization of further groundwater flow model of the Cornia Valley to be implemented in the next months.
Simone Febo; Francesco Petrolo; Francesco Curedda; Andrea Zirulia; Matteo Vacca; Marilena Trotta; Enrico Guastaldi; Giovanna De Filippis; Rudy Rossetto; Claudio Benucci. Ricostruzione probabilistica 3D dell'acquifero alluvionale della Val di Cornia (Provincia di Livorno). Rendiconti Online della Società Geologica Italiana 2018, 46, 23 -28.
AMA StyleSimone Febo, Francesco Petrolo, Francesco Curedda, Andrea Zirulia, Matteo Vacca, Marilena Trotta, Enrico Guastaldi, Giovanna De Filippis, Rudy Rossetto, Claudio Benucci. Ricostruzione probabilistica 3D dell'acquifero alluvionale della Val di Cornia (Provincia di Livorno). Rendiconti Online della Società Geologica Italiana. 2018; 46 ():23-28.
Chicago/Turabian StyleSimone Febo; Francesco Petrolo; Francesco Curedda; Andrea Zirulia; Matteo Vacca; Marilena Trotta; Enrico Guastaldi; Giovanna De Filippis; Rudy Rossetto; Claudio Benucci. 2018. "Ricostruzione probabilistica 3D dell'acquifero alluvionale della Val di Cornia (Provincia di Livorno)." Rendiconti Online della Società Geologica Italiana 46, no. : 23-28.
Groundwater protection is always a prior environmental concern about water management; for this reason, several evaluation methods can be used to identify areas where an aquifer could be damaged by pollution. In this paper, the assessment of groundwater pollution vulnerability is realized using SINTACS method that was automated with the aid of ESRI Model Builder in ArcGIS software. SINTACS Method evaluates the intrinsic vulnerability using seven parameters:depth to groundwater (S), recharge action (I), attenuation capacity of the vadose zone (N), attenuation capacity of the soil (T), hydrogeologic characteristics of the aquifer media (A), hydraulic conductivity (C), and topographic slope (S). These parameters are adapted to five different weight classes depending on the hydrogeological features (porous, fissured or karstified media) and on impact condition (uncontaminated or urbanized environment). Actually, the real purpose of this project was to accelerate the application of the SINTACS method by creatingan automatic model, which every user can set according to his own needs. Model Builder is an application for building workflows, that are sequences of geoprocessing tools, feeding the output of one tool into another tool as input. In details, two tools are developed: a main model called SINTACS Model, realized with ESRI Model Builder (version 10.3.1) and an optional script tool called SINTACS Model – Scenari, created by using Python language and the ArcPy site-package. SINTACSModel produces all the outputs required from SINTACS method, while SINTACS Model – Scenari is able to identify the hydrological features and impact conditions in a specific area. The alluvial plan in Laterina (AR), an italian small country in Tuscany land, was selected as testsite: the results show that data has been correctly processed, filling in a reliable way all the information gaps.
Luisa Vernacchia; Enrico Guastaldi; Simone Febo; Francesco Petrolo. Stima della Vulnerabilità intrinseca di un acquifero: automazione del metodo SINTACS con strumenti software GIS. Rendiconti Online della Società Geologica Italiana 2018, 46, 49 -53.
AMA StyleLuisa Vernacchia, Enrico Guastaldi, Simone Febo, Francesco Petrolo. Stima della Vulnerabilità intrinseca di un acquifero: automazione del metodo SINTACS con strumenti software GIS. Rendiconti Online della Società Geologica Italiana. 2018; 46 ():49-53.
Chicago/Turabian StyleLuisa Vernacchia; Enrico Guastaldi; Simone Febo; Francesco Petrolo. 2018. "Stima della Vulnerabilità intrinseca di un acquifero: automazione del metodo SINTACS con strumenti software GIS." Rendiconti Online della Società Geologica Italiana 46, no. : 49-53.
Enrico Guastaldi; Fabio Brogna; Pierlorenzo Brignoli. Use of bio–activators for the degradation of different soils contaminated by hydrocarbons. MOJ Ecology & Environmental Sciences 2018, 3, 1 .
AMA StyleEnrico Guastaldi, Fabio Brogna, Pierlorenzo Brignoli. Use of bio–activators for the degradation of different soils contaminated by hydrocarbons. MOJ Ecology & Environmental Sciences. 2018; 3 (3):1.
Chicago/Turabian StyleEnrico Guastaldi; Fabio Brogna; Pierlorenzo Brignoli. 2018. "Use of bio–activators for the degradation of different soils contaminated by hydrocarbons." MOJ Ecology & Environmental Sciences 3, no. 3: 1.
The flood events observed during last years in the urban areas are subject of main interest for quantification of the hydro-climatic risks and climatic change to the regional scales. The establishment of a statistical relationship between the intensities of intense rains and the recurrence of these events allows us to determine the dimensions of the works according to a previously defined level of risk. They constitute today a leading tool for various users. This work concerns the study of the maximum annual rains, recorded at 49 stations in the northern Algeria. The objectives of this work are to determine the estimators who are the “intensity-duration-frequency” curves and to extract from these whole of information the b Montana climatic parameter to be regionalized for the calculating the river flow and for the dimensioning of the networks of cleansing in the event of insufficiency of data. Different durations going from 15 min to 24 h are studied. We utilised the collocated co-kriging as multivariate estimation method for interpolation in order to yield the space distribution maps of b Montana climatic parameter, with the benefit of using spatially correlated secondary variables, such as the digital elevation model and the distance from the coastline that are known at any localisation. All features led to choose the digital elevation model as covariate for interpolating b Montana values, yielding a better regionalisation of the studied climatic parameter. The geostatistical handling of b Montana values strictly related to auxiliary variables that constitute physical factors overcomes the data shortage in planning, managing and preventing the rain flood risk.
Mohamed El Amine Khelfi; Bénina Touaibia; Enrico Guastaldi. Regionalisation of the “intensity-duration-frequency” curves in Northern Algeria. Arabian Journal of Geosciences 2017, 10, 441 .
AMA StyleMohamed El Amine Khelfi, Bénina Touaibia, Enrico Guastaldi. Regionalisation of the “intensity-duration-frequency” curves in Northern Algeria. Arabian Journal of Geosciences. 2017; 10 (20):441.
Chicago/Turabian StyleMohamed El Amine Khelfi; Bénina Touaibia; Enrico Guastaldi. 2017. "Regionalisation of the “intensity-duration-frequency” curves in Northern Algeria." Arabian Journal of Geosciences 10, no. 20: 441.
The need to obtain a detailed hydrogeological characterization of the subsurface and its interpretation for the groundwater resources management, often requires to apply several and complementary geophysical methods. The goal of the approach in this paper is to provide a unique model of the aquifer by synthesizing and optimizing the information provided by several geophysical methods. This approach greatly reduces the degree of uncertainty and subjectivity of the interpretation by exploiting the different physical and mechanic characteristics of the aquifer. The studied area, into the municipality of Laterina (Arezzo, Italy), is a shallow basin filled by lacustrine and alluvial deposits (Pleistocene and Olocene epochs, Quaternary period), with alternated silt, sand with variable content of gravel and clay where the bottom is represented by arenaceous-pelitic rocks (Mt. Cervarola Unit, Tuscan Domain, Miocene epoch). This shallow basin constitutes the unconfined superficial aquifer to be exploited in the nearly future. To improve the geological model obtained from a detailed geological survey we performed electrical resistivity and P wave refraction tomographies along the same line in order to obtain different, independent and integrable data sets. For the seismic data also the reflected events have been processed, a remarkable contribution to draw the geologic setting. Through the k-means algorithm, we perform a cluster analysis for the bivariate data set to individuate relationships between the two sets of variables. This algorithm allows to individuate clusters with the aim of minimizing the dissimilarity within each cluster and maximizing it among different clusters of the bivariate data set. The optimal number of clusters “K”, corresponding to the individuated geophysical facies, depends to the multivariate data set distribution and in this work is estimated with the Silhouettes. The result is an integrated tomography that shows a finite number of homogeneous geophysical facies, which therefore permits to distinguish and interpret the porous aquifer in a quantitative and objective way.
Stefano Bernardinetti; Stefano Maraio; Pier Paolo Gennaro Bruno; Valentina Cicala; Serena Minucci; Miriana Giannuzzi; Marilena Trotta; Francesco Curedda; Simone Febo; Matteo Vacca; Enrico Guastaldi; Tommaso Colonna; Filippo Bonciani; Emanuele Tufarolo; Fabio Brogna; Andrea Zirulia; Omar Milighetti. Potential shallow aquifers characterization through an integrated geophysical method: multivariate approach by means of k-means algorithms. Acque Sotterranee - Italian Journal of Groundwater 2017, 6, 1 .
AMA StyleStefano Bernardinetti, Stefano Maraio, Pier Paolo Gennaro Bruno, Valentina Cicala, Serena Minucci, Miriana Giannuzzi, Marilena Trotta, Francesco Curedda, Simone Febo, Matteo Vacca, Enrico Guastaldi, Tommaso Colonna, Filippo Bonciani, Emanuele Tufarolo, Fabio Brogna, Andrea Zirulia, Omar Milighetti. Potential shallow aquifers characterization through an integrated geophysical method: multivariate approach by means of k-means algorithms. Acque Sotterranee - Italian Journal of Groundwater. 2017; 6 (2):1.
Chicago/Turabian StyleStefano Bernardinetti; Stefano Maraio; Pier Paolo Gennaro Bruno; Valentina Cicala; Serena Minucci; Miriana Giannuzzi; Marilena Trotta; Francesco Curedda; Simone Febo; Matteo Vacca; Enrico Guastaldi; Tommaso Colonna; Filippo Bonciani; Emanuele Tufarolo; Fabio Brogna; Andrea Zirulia; Omar Milighetti. 2017. "Potential shallow aquifers characterization through an integrated geophysical method: multivariate approach by means of k-means algorithms." Acque Sotterranee - Italian Journal of Groundwater 6, no. 2: 1.
Abdelouahab Amroune; Abderrahmane Boudoukha; Abderrahmane Boumazbeur; Lahcen Benaabidate; Enrico Guastaldi. Groundwater geochemistry and environmental isotopes of the Hodna area, Southeastern Algeria. DESALINATION AND WATER TREATMENT 2017, 73, 225 -236.
AMA StyleAbdelouahab Amroune, Abderrahmane Boudoukha, Abderrahmane Boumazbeur, Lahcen Benaabidate, Enrico Guastaldi. Groundwater geochemistry and environmental isotopes of the Hodna area, Southeastern Algeria. DESALINATION AND WATER TREATMENT. 2017; 73 ():225-236.
Chicago/Turabian StyleAbdelouahab Amroune; Abderrahmane Boudoukha; Abderrahmane Boumazbeur; Lahcen Benaabidate; Enrico Guastaldi. 2017. "Groundwater geochemistry and environmental isotopes of the Hodna area, Southeastern Algeria." DESALINATION AND WATER TREATMENT 73, no. : 225-236.
We present a detailed map of uranium distribution and its uncertainties in the Variscan Basement of Northeastern Sardinia (VBNS) at a scale of 1:100,000. An area of 2100 km2 was investigated by means of 535 data points obtained from laboratory and in situ gamma-ray spectrometry measurements. These data volume corresponds to the highest sampling density of the European Variscides, aimed at studying the genetic processes of the upper crust potentially triggered by an enrichment of radiogenic heat-producing elements. For the first time, the Kriging with Variance of Measurement Error method was used to assign weights to the input data which are based on the degree of confidence associated with the measurements obtained using different gamma-ray spectrometry techniques. A detailed tuning of the model parameters for the adopted Experimental Semi-Variogram led to the identification of a maximum distance of spatial variability coherent to the observed tendency of the experimental data. We demonstrate that the obtained uranium distribution in the VBNS, characterized by several calc-alkaline plutons emplaced within migmatitic massifs and amphibolite-facies metamorphic rocks, is an excellent benchmark for the study of ‘hot’ collisional chains. The uranium map of VBNS, and in particular the Arzachena minor pluton, confirms the emplacement model based on the recognition of the different petrological associations characterizing the Variscan magmatic processes in the Late Paleozoic. Furthermore, the presented model of the uranium content of the geological bedrock is a potential baseline for future mapping of radon-prone areas.
M. Kaçeli Xhixha; Matteo Alberi; Marica Baldoncini; G.P. Bezzon; G.P. Buso; Ivan Callegari; Leonardo Casini; S. Cuccuru; G. Fiorentini; E. Guastaldi; Fabio Mantovani; L. Mou; G. Oggiano; A. Puccini; C. Rossi Alvarez; V. Strati; G. Xhixha; A. Zanon. Uranium distribution in the Variscan Basement of Northeastern Sardinia. Journal of Maps 2015, 12, 1029 -1036.
AMA StyleM. Kaçeli Xhixha, Matteo Alberi, Marica Baldoncini, G.P. Bezzon, G.P. Buso, Ivan Callegari, Leonardo Casini, S. Cuccuru, G. Fiorentini, E. Guastaldi, Fabio Mantovani, L. Mou, G. Oggiano, A. Puccini, C. Rossi Alvarez, V. Strati, G. Xhixha, A. Zanon. Uranium distribution in the Variscan Basement of Northeastern Sardinia. Journal of Maps. 2015; 12 (5):1029-1036.
Chicago/Turabian StyleM. Kaçeli Xhixha; Matteo Alberi; Marica Baldoncini; G.P. Bezzon; G.P. Buso; Ivan Callegari; Leonardo Casini; S. Cuccuru; G. Fiorentini; E. Guastaldi; Fabio Mantovani; L. Mou; G. Oggiano; A. Puccini; C. Rossi Alvarez; V. Strati; G. Xhixha; A. Zanon. 2015. "Uranium distribution in the Variscan Basement of Northeastern Sardinia." Journal of Maps 12, no. 5: 1029-1036.
We present the first detailed map of the terrestrial natural radioactivity of the Veneto Region\ud (Italy), a 18,264 km2 densely populated area, previously investigated through indoor radon\ud surveys. The activity concentration in 709 representative samples of the main Alpine\ud lithostratigraphic units was measured by using a high-purity germanium (HPGe) g-ray\ud spectrometer to characterize the radioactivity content of the 41 cartographic units of the\ud Veneto Lithostratigraphic map at 1:250,000 scale. An area accounting for 61% of the\ud territory, comprising alluvial plains was investigated through airborne g-ray measurements.\ud The large-volume NaI detectors were mounted on an ultralight aircraft, flying a 7000 km\ud line. The data were interpolated using Ordinary Kriging, and a distribution model of the\ud radioactivity content was produced. The result of the data analysis is a total natural\ud radioactivity map of Veneto at 1:250,000 scale in which the activity concentration of the\ud territory is visualized in seven classes, according to the percentile values calculated on the\ud total dataset of measurements
Virginia Strati; Marica Baldoncini; G.P. Bezzon; C. Broggini; G.P. Buso; Antonio Caciolli; Ivan Callegari; L. Carmignani; T. Colonna; Giovanni Fiorentini; E. Guastaldi; M. Kaçeli Xhixha; Fabio Mantovani; Roberto Menegazzo; L. Mou; C. Rossi Alvarez; G. Xhixha; A. Zanon. Total natural radioactivity, Veneto (Italy). Journal of Maps 2014, 11, 545 -551.
AMA StyleVirginia Strati, Marica Baldoncini, G.P. Bezzon, C. Broggini, G.P. Buso, Antonio Caciolli, Ivan Callegari, L. Carmignani, T. Colonna, Giovanni Fiorentini, E. Guastaldi, M. Kaçeli Xhixha, Fabio Mantovani, Roberto Menegazzo, L. Mou, C. Rossi Alvarez, G. Xhixha, A. Zanon. Total natural radioactivity, Veneto (Italy). Journal of Maps. 2014; 11 (4):545-551.
Chicago/Turabian StyleVirginia Strati; Marica Baldoncini; G.P. Bezzon; C. Broggini; G.P. Buso; Antonio Caciolli; Ivan Callegari; L. Carmignani; T. Colonna; Giovanni Fiorentini; E. Guastaldi; M. Kaçeli Xhixha; Fabio Mantovani; Roberto Menegazzo; L. Mou; C. Rossi Alvarez; G. Xhixha; A. Zanon. 2014. "Total natural radioactivity, Veneto (Italy)." Journal of Maps 11, no. 4: 545-551.
A pilot study involving screening measurements of gross alpha/beta activity concentration in drinking water was performed in 12 cities with the highest population density in Albania. The aim of this study was to develop a first insight regarding the radiological quality of drinking and bottled water supplies. The tap and bottled water samples investigated are acceptable for consumption, complying with the WHO recommendations for drinking water. The average gross alpha and beta activity concentrations were \( 36_{ - 18}^{ + 37} \) and \( 269_{ - 150}^{ + 337} \) mBq/L, respectively in tap waters. While for bottled water the gross alpha and beta activities were respectively \( 39_{ - 23}^{ + 55} \) and \( 220_{ - 132}^{ + 336} \) mBq/L. The data obtained can provide information for authorities regarding the quality of drinking water and a baseline for future contaminations.
F. Cfarku; G. Xhixha; E. Bylyku; P. Zdruli; Fabio Mantovani; F. Përpunja; Ivan Callegari; E. Guastaldi; M. Xhixha Kaçeli; H. Thoma. A preliminary study of gross alpha/beta activity concentrations in drinking waters from Albania. Journal of Radioanalytical and Nuclear Chemistry 2014, 301, 435 -442.
AMA StyleF. Cfarku, G. Xhixha, E. Bylyku, P. Zdruli, Fabio Mantovani, F. Përpunja, Ivan Callegari, E. Guastaldi, M. Xhixha Kaçeli, H. Thoma. A preliminary study of gross alpha/beta activity concentrations in drinking waters from Albania. Journal of Radioanalytical and Nuclear Chemistry. 2014; 301 (2):435-442.
Chicago/Turabian StyleF. Cfarku; G. Xhixha; E. Bylyku; P. Zdruli; Fabio Mantovani; F. Përpunja; Ivan Callegari; E. Guastaldi; M. Xhixha Kaçeli; H. Thoma. 2014. "A preliminary study of gross alpha/beta activity concentrations in drinking waters from Albania." Journal of Radioanalytical and Nuclear Chemistry 301, no. 2: 435-442.
Three different parametric methods for the evaluation of intrinsic vulnerability to pollution have been applied in a hydrothermal carbonate aquifer located in central-northern Italy and the results obtained were compared with each other. The study area, large, approximately 152 km2, lies in an area of the northern Apennines. The investigated aquifer feeds the hot thermal springs of Saturnia. The vulnerability assessment methods used are: SINTACS, GODS and COP. The vulnerability maps obtained were first individually examined, and then they were compared with each other by means of spatial analysis. These maps show similar results for the estimation of the vulnerability just in some areas. SINTACS yields areas potentially vulnerable to pollution along the Albegna River and its major tributaries in the northern part of the study area. The GODS index map reflects the great importance that this method gives to the lithological characteristics of the unsaturated zone in the subdivision of areas with different vulnerability. GODS and COP methods agree in classifying low vulnerability in the most part of central-southern study area, where the aquifer is confined by the Pliocene clay deposits. Based on the conceptual model of groundwater flow developed for the aquifer under investigation, COP seems the most appropriate method among those applied in this work, in particular with regard to the assessment of the vulnerability of the recharge area of thermal groundwater. Located in the northern part of the study area, where karst carbonate formations of the Tuscan Nappe outcrop, this recharge area is classified by the COP method as highly vulnerable to pollution.
Enrico Guastaldi; Luca Graziano; Giovanni Liali; Fabio Nunzio Antonio Brogna; Alessio Barbagli. Intrinsic vulnerability assessment of Saturnia thermal aquifer by means of three parametric methods: SINTACS, GODS and COP. Environmental Earth Sciences 2014, 72, 2861 -2878.
AMA StyleEnrico Guastaldi, Luca Graziano, Giovanni Liali, Fabio Nunzio Antonio Brogna, Alessio Barbagli. Intrinsic vulnerability assessment of Saturnia thermal aquifer by means of three parametric methods: SINTACS, GODS and COP. Environmental Earth Sciences. 2014; 72 (8):2861-2878.
Chicago/Turabian StyleEnrico Guastaldi; Luca Graziano; Giovanni Liali; Fabio Nunzio Antonio Brogna; Alessio Barbagli. 2014. "Intrinsic vulnerability assessment of Saturnia thermal aquifer by means of three parametric methods: SINTACS, GODS and COP." Environmental Earth Sciences 72, no. 8: 2861-2878.
Sedimentary heterogeneity conditions of Catania Plain quaternary aquifer (CPQA), the wider alluvial multi-aquifer system of Sicily, were rebuilt to simulate and quantify groundwater flow. Transition probabilities based on a Markov Chain (MC) and Sequential Indicator Simulation (SIS) are the structure-imitating simulators utilized for generating stochastic distributions of hydraulic conductivity fields of CPQA, basing on borehole data: plausible equiprobable solutions of the complex geological structure of the CPQA were simulated. This study highlights that the choice of geostatistical simulation method plays a fundamental role in predictive scenarios for groundwater resources managing of CPQA. Indeed, simulated characteristics of the sedimentary heterogeneity constituted the basis of finite difference models for simulating the groundwater flow of CPQA. In heterogeneous systems such as CPQA, SIS may be inadequate for reproducing the macrostructures. Instead, MC adequately reproduced spatial connection of lithofacies, representing a more realistic solution dealing to the proposed geological model of CPQA. MC and SIS models were utilized to both assess the uncertainty of the generated hydraulic conductivity fields of CPQA and predictions about its behavior under normal stress conditions induced by urbanization. The calibration of CPQA groundwater flow models based on MC and SIS simulations allowed to achieve a realistic feedback about the quality of the geostatistical reconstructions of the geological heterogeneity field.
Enrico Guastaldi; Andrea Carloni; Giovanna Pappalardo; Jacopo Nevini. Geostatistical Methods for Lithological Aquifer Characterization and Groundwater Flow Modeling of the Catania Plain Quaternary Aquifer (Italy). Journal of Water Resource and Protection 2014, 06, 272 -296.
AMA StyleEnrico Guastaldi, Andrea Carloni, Giovanna Pappalardo, Jacopo Nevini. Geostatistical Methods for Lithological Aquifer Characterization and Groundwater Flow Modeling of the Catania Plain Quaternary Aquifer (Italy). Journal of Water Resource and Protection. 2014; 06 (04):272-296.
Chicago/Turabian StyleEnrico Guastaldi; Andrea Carloni; Giovanna Pappalardo; Jacopo Nevini. 2014. "Geostatistical Methods for Lithological Aquifer Characterization and Groundwater Flow Modeling of the Catania Plain Quaternary Aquifer (Italy)." Journal of Water Resource and Protection 06, no. 04: 272-296.
Aim of this study is to define the groundwater flow of thermal area of Saturnia, through both chemical and isotope analyses. After a first detailed geological-geophysical survey and a quantification of the available groundwater resources, we analyzed several chemical compounds (Na, Ca, Mg, K, Chlorides, Sulfates, Nitrates, total alkalinity, Li, Sr, B, Fluorides, soluble Silica, free Carbon Dioxide, Sb, As, Se, H2S, Fe, Mn, Hg e Pb) and isotopes (2H; 3H, 3He, 4He, 13C, 18O, 86Sr, 87Sr). Excluding the uncertainties mainly related to a large repetition of measures over time, we concluded the following conclusions. Both Lithium and Boron high values and 87Sr/86Sr values highlighted that “Calcare Cavernoso” limestone geological formation constitutes the Saturnia thermal aquifer. Such samples showed both the same chemical characteristics and source area. Boron, Lithium, δ2H, δ18O and 87Sr/86Sr show the Saturnia thermal aquifer is separated by those of Pitigliano (Latera- Bolsena thermal circuit) and Bagni San Filippo (Mt. Amiata thermal circuit). 18O, 3H e δ13C measured in samples coming from Saturnia thermal spring respectively indicate that water feeding the thermal aquifer infiltrate at 350-440 m a.s.l., that they are almost 30 years old, and finally they that are isolated regarding to external infiltration. Low value of R/Ra tends to exclude the influence of Earth mantle to the geothermal anomaly of Saturnia area. The high content in Selenium indicates a possible interaction between Saturnia spring water and those coming from the Saturnia well, with volcanic fluids. However, considering also the evidence of the separation between the Saturnia groundwater flow and those of neighboring thermal fields (Bolsena and Mt. Amiata), we hypothesized that only a exchange among these volcanic complexes and the source area of thermal water points exists, but not among these complex and Saturnia aquifer.
Alessio Barbagli; Fabio Nunzio Antonio Brogna; Ivan Callegari; Enrico Guastaldi; Giovanni Liali; Natalie Marsico; Carmela Rezza; Marilena Trotta. Multi-isotope and Hydrogeochemical approach for characterizing Saturnia thermal groundwater (Grosseto, Italy). Acque Sotterranee - Italian Journal of Groundwater 2013, 2, 1 .
AMA StyleAlessio Barbagli, Fabio Nunzio Antonio Brogna, Ivan Callegari, Enrico Guastaldi, Giovanni Liali, Natalie Marsico, Carmela Rezza, Marilena Trotta. Multi-isotope and Hydrogeochemical approach for characterizing Saturnia thermal groundwater (Grosseto, Italy). Acque Sotterranee - Italian Journal of Groundwater. 2013; 2 (4):1.
Chicago/Turabian StyleAlessio Barbagli; Fabio Nunzio Antonio Brogna; Ivan Callegari; Enrico Guastaldi; Giovanni Liali; Natalie Marsico; Carmela Rezza; Marilena Trotta. 2013. "Multi-isotope and Hydrogeochemical approach for characterizing Saturnia thermal groundwater (Grosseto, Italy)." Acque Sotterranee - Italian Journal of Groundwater 2, no. 4: 1.
We studied the environmental impact of geothermal activities in the Mt. Amiata area, using on-site spectral analyses of various ecological components. Analytical techniques were based on the study of the “red-edge”, which represents the spectral feature of the reflectance spectra defined between red and infrared wavelengths (λ) within the range 670-780 nm. Since in the study area the geothermal exploitation causes the drifting of contaminants such as Hg, Sb, S, B, As and H2S (hydrogen sulfide) from power plants, the spectral response of vegetation and lichens depends on their distance from the power stations, and also on the exposed surface, material type and other physical parameters. In the present research, the spectral radiance of targets was measured in the field using an Analytical Spectral Device (ASD) Field-Spec™FR portable radiometer. Spectral measurements were made on vegetation and lichen samples located near to and far from geothermal areas and potential pollution sources (e.g., power plants), with the aim of spatially defining their environmental impact. Observations for vegetation and lichens showed correlation with laboratory chemical analyses when these organisms were under stress conditions. The evaluation of relationships was carried out using several statistical approaches, which allowed to identify methods for identifying contamination indicators for plants and lichens in polluted areas. Results show that the adopted spectral indices are sensitive to environmental pollution and their responses spatial-statically correlated to chemical and ecophysiological analyses within a notable distance
Ciro Manzo; Riccardo Salvini; Enrico Guastaldi; Valentina Nicolardi; Giuseppe Protano. Reflectance spectral analyses for the assessment of environmental pollution in the geothermal site of Mt. Amiata (Italy). Atmospheric Environment 2013, 79, 650 -665.
AMA StyleCiro Manzo, Riccardo Salvini, Enrico Guastaldi, Valentina Nicolardi, Giuseppe Protano. Reflectance spectral analyses for the assessment of environmental pollution in the geothermal site of Mt. Amiata (Italy). Atmospheric Environment. 2013; 79 ():650-665.
Chicago/Turabian StyleCiro Manzo; Riccardo Salvini; Enrico Guastaldi; Valentina Nicolardi; Giuseppe Protano. 2013. "Reflectance spectral analyses for the assessment of environmental pollution in the geothermal site of Mt. Amiata (Italy)." Atmospheric Environment 79, no. : 650-665.