609 results on '"Angelo Basile"'
Search Results
2. A multi-method approach for assessing groundwater vulnerability of shallow aquifers in the Marchfeld region (Austria)
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Francesco Fusco, Vincenzo Allocca, Marialaura Bancheri, Angelo Basile, Domenico Calcaterra, Antonio Coppola, Martin Neuwirth, Àngela Puig-Sirera, Fabio Terribile, and Pantaleone De Vita
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Groundwater vulnerability ,PCSM methods ,Numerical models ,SINTACS ,TFM-ext ,FLOWS ,Physical geography ,GB3-5030 ,Geology ,QE1-996.5 - Abstract
Study region: Marchfeld region (Austria) Study focus: A multi-method and multi-scale assessment of the intrinsic groundwater vulnerability to generic pollutants was carried out. At the regional scale, a parametric method, to assess the intrinsic groundwater vulnerability, and a transfer function model, to assess the travel time of a generic and non-reactive pollutant through the unsaturated zone, were applied. At the site-specific scale, the travel time of the peak concentration was evaluated by using a physically-based hydrological model. The comparison of results of different approaches allowed mutual validation and advanced the knowledge about the assessment of groundwater vulnerability. New hydrogeological insights for the region: To assess the groundwater vulnerability, a detailed hydrogeological map of the study area was reconstructed. A large variability of hydrogeological, morphological and anthropic conditions was recognized. Alluvial aquifers formed by high-permeability deposits hosting shallow groundwater circulation are characterized by the highest groundwater vulnerability. Contrarily, lower groundwater vulnerability was recognized for aquifers formed by low-permeability deposits, favoring a reduction of infiltration processes and a major attenuation of pollutants’ potential effects. The presented multi-method approach revealed how comparing the results of a DRASTIC-like method and two process-based models can deliver hints regarding their suitability, different spatial densities and quality of required inputs, and effectiveness. Finally, the potential strong impact of some agricultural practices was confirmed.
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- 2024
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3. Elimination of Dirofilaria immitis Infection in Dogs, Linosa Island, Italy, 2020–2022
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Emanuele Brianti, Ettore Napoli, Giovanni De Benedetto, Luigi Venco, Jairo Alfonso Mendoza-Roldan, Angelo Basile, Marcos Antônio Bezerra-Santos, Jason Drake, Roland Schaper, and Domenico Otranto
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Dirofilaria immitis ,dog ,elimination ,heartworm disease ,moxidectin ,soft-kill treatment ,Medicine ,Infectious and parasitic diseases ,RC109-216 - Abstract
On Linosa Island, Italy, Dirofilaria immitis infection has been hyperendemic in dogs and seroprevalent among islanders. In 2020, we implemented a heartworm disease elimination program on Linosa Island. Of 54 dogs tested for D. immitis antigen and microfilariae, 28 had positive results and received treatment with oral doxycycline twice daily for 4 weeks plus topical imidacloprid/moxidectin monthly for 12 months. The 26 dogs with negative results received monthly topical imidacloprid/moxidectin as preventive. During month 1, the number of microfilaremic dogs was reduced by 76.5%. From month 2 on, all animals were microfilariae negative, and during months 3 to 9, the number of antigen-positive dogs decreased progressively. Treatment of positive dogs coupled with chemoprophylaxis for noninfected dogs was effective, protecting them from new infections. The elimination program reduced the risk for human infection, representing a One Health paradigm. Monitoring and chemoprophylaxis are advocated to maintain the status of heartworm disease–free area.
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- 2023
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4. Clinical, Radiological, and Echocardiographic Findings in Cats Infected by Aelurostrongylus abstrusus
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Ettore Napoli, Michela Pugliese, Angelo Basile, Annamaria Passantino, and Emanuele Brianti
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cat ,Aelurostrongylus abstrusus ,cat lungworm ,pulmonary hypertension ,clinical signs ,Medicine - Abstract
Cats infected by Aelurostrongylus abstrusus may show a plethora of clinical signs, and pulmonary hypertension (PH) seems to be one of the possible alterations induced by the infection; however, data on this association are scant and contradictory. Therefore, the aims of this study were to investigate the association between aelurostrongylosis and PH and to evaluate the correlation between the number of A. abstrusus larvae expelled in the faeces and the clinical, echocardiographic, and radiological alterations. Fifteen cats (i.e., eight males and seven females) older than 3 months and naturally infected by A. abstrusus with different parasitic loads, expressed as larvae per grams of faeces (l.p.g.), were enrolled in the study. Each animal underwent clinical, echocardiographic, and radiographic examinations. Most cats (i.e., 10/15) showed pathological patterns on thoracic radiograms; particularly, the alveolar pattern (four cats), interstitial-nodular pattern (five cats), and bronchial pattern (one cat). No significant echocardiographic findings of PH were detected. No correlation between the number of l.p.g. and the severity of clinical signs was observed, but a significant correlation with activated partial thromboplastin time (aPTT), radiographic alterations (interstitial nodular pattern), and ultrasonographic findings (RIVIDs) were noticed. These findings suggest that other factors such as animal age and health status, as well as comorbidity, may influence the presentation of the disease or the clinical manifestation and severity of the disease.
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- 2023
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5. Right Pulmonary Artery Distensibility Index in Heartworm Infected Dogs: Are the Different Methods Leading to Same Results?
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Angelo Basile, Ettore Napoli, Emanuele Brianti, and Luigi Venco
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Dirofilaria immitis ,dog ,right pulmonary artery distensibility index ,echocardiography ,Veterinary medicine ,SF600-1100 ,Zoology ,QL1-991 - Abstract
Canine Heartworm Disease (HWD) is mainly a pulmonary vascular disease. The reduction of the Pulmonary Artery Distensibility (PAD) is an early index of pulmonary vascular disease. Echocardiographic evaluation of the Right Pulmonary Artery Distensibility index (RPADi) is calculated as the percentage change in diameter of the right pulmonary artery (RPA) between systole and diastole. Historically, two main methods have been used for RPADi calculation: The Venco method and Visser method; however, different hybrid methods have also been used by other authors. Therefore, it could be difficult for a clinician to decide which method to apply and how to interpret the results based on the reference values reported. The aim of this study was to compare the RPADi obtained by five different techniques (Venco classic, Venco modified, Visser classic, Visser modified 1, and Visser modified 2). The study design was a retrospective, single center, observational study. Forty-seven client-owned dogs were included. The measurements were performed off-line as an average of three consecutive cardiac cycles by a single investigator blinded to the dogs’ diagnosis. The RPADi was satisfactorily obtained by all methods in all dogs. Intra-observer measurement variability was clinically acceptable both for systolic and diastolic measurements. Although the Bland–Altman test showed a statistical agreement between the various methods used to calculate the RPADi, these methods cannot be used interchangeably in a clinical setting. Instead, the measurement method and reference values should always be specified.
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- 2023
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6. Performance Comparison of Polymeric and Silica-Based Multi-Bed Pervaporation Membrane Reactors during Ethyl Levulinate Production
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Kamran Ghasemzadeh, Milad Ghahremani, Elham Jalilnejad, Taher Yousefi Amiri, and Angelo Basile
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ethyl levulinate ,levalunic acid ,water removal ,numerical study ,pervaporation membrane reactor ,operating conditions ,Chemical technology ,TP1-1185 ,Chemical engineering ,TP155-156 - Abstract
A detailed numerical study of ethyl levulinate (EtLA) production with levulinic acid (LA) and ethanol (Et) in a multi-bed traditional reactor (MB-TR) and a silica-based and polymeric multi-bed pervaporation membrane reactors (MB-PVMR) was conducted and the efficiency of each design was studied under different operation conditions. Due to water production in the EtLA production process, water removal by a pervaporation system may improve process performance. Our results showed that MB-PVMR had higher performance compared with MB-TR. In addition, the silica membrane was more effective in water removal compared with the polymeric membrane. Therefore, higher LA conversion was achievable by a silica-based multi-bed pervaporation membrane reactor (SMB-PVMR). All the results were evaluated for percentage of water removal and LA conversion, based on variations in the Et/LA molar ratio, feed molar flow, reaction zone temperature, and catalyst loading. The results showed that water removal was higher than 95% and LA conversion of about 95% was attained by SMB-PVMR.
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- 2022
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7. Silica membrane performance for hydrogen separation from methanol steam reforming products: Assessment of different multistage membrane schemes
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Abbas Aghaeinejad-Meybodi, Kamran Ghasemzadeh, and Angelo Basile
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silica membrane ,hydrogen separation ,modeling ,multistage membrane schemes ,Chemical technology ,TP1-1185 - Abstract
The aim of this work is a theoretical study of multistage silica membrane configurations for hydrogen purification by methanol steam reforming (MSR) products. Four membrane schemes including single permeator, CMC (continuous membrane column), ISMC ("in series" membrane cascade), and CRC (countercurrent recycle membrane cascade) were considered for this purpose. The modeling results showed that silica membranes have a high potential for high purity (more than 99.9%) hydrogen production. The lowest amounts of compressor duty and the required total membrane area were considered as the objective functions to select the optimal design and amount of hydrogen purification. A comparison of our simulation results of the different multistage membrane schemes showed the CRC configuration was more efficient than the other configurations. The modeling results show that that increasing the retentate side pressure from 2 to 5 bar reduced the total silica membrane area for the CRC scheme by almost 13 times (30.67 and 2.37 cm2 silica membrane area for a retentate side pressure of 2 and 5 bar, respectively).
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- 2019
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8. Facebook Reactions as Controversy Proxies: Predictive Models over Italian News
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Angelo Basile, Tommaso Caselli, Flavio Merenda, and Malvina Nissim
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Social Sciences ,Computational linguistics. Natural language processing ,P98-98.5 - Abstract
Discussion on social media over controversial topics can easily escalate to harsh interactions. Being able to predict whether a certain post will be controversial, and what reactions it might give rise to, could help moderators provide a better experience for all users. We develop a battery of distant supervised models that use Facebook reactions as proxies for predicting news controversy, building on the idea that controversy can be modeled via the entropy of the reaction distribution to a post. We create a Facebook-based corpus for the study of controversy in Italian, and test on it the validity of our approach as well as a series of controversy models. Results show that controversy and reactions can be modelled successfully at various degrees of granularity.
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- 2018
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9. Zero-Tillage Effects on Durum Wheat Productivity and Soil-Related Variables in Future Climate Scenarios: A Modeling Analysis
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Àngela Puig-Sirera, Marco Acutis, Marialaura Bancheri, Antonello Bonfante, Marco Botta, Roberto De Mascellis, Nadia Orefice, Alessia Perego, Mario Russo, Anna Tedeschi, Antonio Troccoli, and Angelo Basile
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climate change ,conservation agriculture ,crop-based model ,durum wheat ,soil spatial variability ,Agriculture - Abstract
Adoption of zero-tillage practices with residue retention in field crops has been introduced as an alternative soil-management technique to counteract the resource degradation and high production costs derived from intensive tillage. In this sense, the biophysical models are valuable tools to evaluate and design the most suitable soil-management technique in view of future climate variability. The aim of this study was to use the ARMOSA process-based crop model to perform an assessment of tillage (T) and no-tillage (No-T) practices of durum-wheat-cropping systems in the Campania region (South of Italy) under current and future climate scenarios. First, the model was calibrated using measurements of soil water content at different depths, leaf area index, and aboveground biomass in the T and No-T treatments during the 2013–2014 season. Then, the model was further applied in the T and No-T treatments to future climate data for 2020–2100 that was generated by the COSMO-CLM model using the RCP4.5 and 8.5 paths. Results of the calibration depicted that the model can accurately simulate the soil-crop-related variables of both soil-management treatments, and thus can be applied to identify the most appropriate conservation agricultural practices in the durum-wheat system. The simulation of soil water content at different depths resulted in small relative root mean square errors (RRMSE < 15%) and an acceptable Pearson’s correlation coefficient (r > 0.51); and the goodness-of-fit indicators for simulated LAI and AGB resulted in acceptable RRMSE (RRMSE < 28%), and high r (r > 0.84) in both soil-management treatments. Future climate simulations showed that No-T management will deliver 10% more wheat yield than the T, with an annual average 0.31% year−1 increase of soil organic carbon, and an increase of 3.80% year−1 for N uptake, which can diminish the N leaching. These results suggest that No-T could be implemented as a more resilient management for farming system in view of climate uncertainty and scarcity of resources. Therefore, these findings support the potential of the ARMOSA model to evaluate the soil-crop response of the durum-wheat system under different management conditions and to design appropriate soil-management practices for current and future climate predictions.
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- 2022
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10. Investigating the Effects of Ultrasonic Frequency and Membrane Technology on Biodiesel Production from Chicken Waste
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Seyyedeh Faezeh Mirab Haghighi, Payam Parvasi, Seyyed Mohammad Jokar, and Angelo Basile
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biodiesel production ,ultrasound ,chicken feet oil ,response surface method ,the membrane system ,Technology - Abstract
In this study, the experiments were carried out under different operating conditions to evaluate the effect of ultrasound waves on biodiesel production from chicken feet oil. A two-step esterification–transesterification mechanism was employed to improve the biodiesel quality. The continuous (methanol-to-oil molar ratio and KOH catalyst amount) and discrete (frequencies, 25 and 45 kHz) variables were investigated using the experimental design method. The five-level three-factor response surface method (RSM) was assisted to optimize the biodiesel synthesis variables. Applying RSM based on the central composite design (CCD), a polynomial equation was fitted to the experimental data with the aid of Design-Expert software. The model accuracy was checked by analysis of variance (ANOVA). The results showed the highest yield of 89.74% could be achieved by using an M/O molar ratio of 12, a KOH concentration of 1 wt%, and an ultrasound frequency of 45 kHz. Finally, a mathematical model of biodiesel production in a membrane system was developed. The reaction rate constant was calculated as a function of ultrasonic frequency. Compared with the conventional method, the membrane system has significantly improved chicken feet biodiesel production’s reaction rate. The membrane is more effective at higher frequencies than at lower ones.
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- 2021
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11. An On-Board Pure H2 Supply System Based on A Membrane Reactor for A Fuel Cell Vehicle: A Theoretical Study
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Payam Parvasi, Seyyed Mohammad Jokar, Angelo Basile, and Adolfo Iulianelli
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fuel cell vehicle ,hydrogen ,on-board Pd–Ag membrane reformer ,methane steam reforming reaction ,Chemical technology ,TP1-1185 ,Chemical engineering ,TP155-156 - Abstract
In this novel conceptual fuel cell vehicle (FCV), an on-board CH4 steam reforming (MSR) membrane reformer (MR) is considered to generate pure H2 for supplying a Fuel Cell (FC) system, as an alternative to the conventional automobile engines. Two on-board tanks are forecast to store CH4 and water, useful for feeding both a combustion chamber (designed to provide the heat required by the system) and a multi tubes Pd-Ag MR useful to generate pure H2 via methane steam reforming (MSR) reaction. The pure H2 stream is hence supplied to the FC. The flue gas stream coming out from the combustion chamber is used to preheat the MR feed stream by two heat exchangers and one evaporator. Then, this theoretical work demonstrates by a 1-D model the feasibility of the MR based system in order to generate 5 kg/day of pure H2 required by the FC system for cruising a vehicle for around 500 km. The calculated CH4 and water consumptions were 50 and 70 kg, respectively, per 1 kg of pure H2. The on-board MR based FCV presents lower CO2 emission rates than a conventional gasoline-powered vehicle, also resulting in a more environmentally friendly solution.
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- 2020
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12. Managing Soils for Recovering from the COVID-19 Pandemic
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Rattan Lal, Eric C. Brevik, Lorna Dawson, Damien Field, Bruno Glaser, Alfred E. Hartemink, Ryusuke Hatano, Bruce Lascelles, Curtis Monger, Thomas Scholten, Bal Ram Singh, Heide Spiegel, Fabio Terribile, Angelo Basile, Yakun Zhang, Rainer Horn, Takashi Kosaki, and Laura Bertha Reyes Sánchez
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COVID-19 pandemic ,circular economy ,food security ,soil management ,urban agriculture ,soil carbon sequestration ,Physical geography ,GB3-5030 ,Chemistry ,QD1-999 - Abstract
The COVID-19 pandemic has disrupted the global food supply chain and exacerbated the problem of food and nutritional insecurity. Here we outline soil strategies to strengthen local food production systems, enhance their resilience, and create a circular economy focused on soil restoration through carbon sequestration, on-farm cycling of nutrients, minimizing environmental pollution, and contamination of food. Smart web-based geospatial decision support systems (S-DSSs) for land use planning and management is a useful tool for sustainable development. Forensic soil science can also contribute to cold case investigations, both in providing intelligence and evidence in court and in ascertaining the provenance and safety of food products. Soil can be used for the safe disposal of medical waste, but increased understanding is needed on the transfer of virus through pedosphere processes. Strengthening communication between soil scientists and policy makers and improving distance learning techniques are critical for the post-COVID restoration.
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- 2020
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13. Performance and Long-Term Stability of Pd/PSS and Pd/Al2O3 Membranes for Hydrogen Separation
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Simona Liguori, Adolfo Iulianelli, Francesco Dalena, Pietro Pinacci, Francesca Drago, Maria Broglia, Yan Huang, and Angelo Basile
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palladium composite membrane ,porous stainless steel ,ideal selectivity ,hydrogen separation ,Chemical technology ,TP1-1185 ,Chemical engineering ,TP155-156 - Abstract
The present work is focused on the investigation of the performance and long-term stability of two composite palladium membranes under different operating conditions. One membrane (Pd/porous stainless steel (PSS)) is characterized by a ~10 µm-thick palladium layer on a porous stainless steel substrate, which is pretreated by means of surface modification and oxidation; the other membrane (Pd/Al2O3) is constituted by a ~7 µm-thick palladium layer on an asymmetric microporous Al2O3 substrate. The operating temperature and pressure ranges, used for studying the performance of these two kinds of membranes, are 350–450 °C and 200–800 kPa, respectively. The H2 permeances and the H2/N2 selectivities of both membranes were investigated and compared with literature data. At 400 °C and 200 kPa as pressure difference, Pd/PSS and Pd/Al2O3 membranes exhibited an H2/N2 ideal selectivity equal to 11700 and 6200, respectively, showing stability for 600 h. Thereafter, H2/N2 selectivity of both membranes progressively decreased and after around 2000 h, dropped dramatically to 55 and 310 for the Pd/PSS and Pd/Al2O3 membranes, respectively. As evidenced by Scanning Electron Microscope (SEM) analyses, the pinholes appear on the whole surface of the Pd/PSS membrane and this is probably due to release of sulphur from the graphite seal rings.
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- 2014
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14. A Geospatial Decision Support System Tool for Supporting Integrated Forest Knowledge at the Landscape Scale
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Gina Marano, Giuliano Langella, Angelo Basile, Francesco Cona, Carlo De Michele, Piero Manna, Maurizio Teobaldelli, Antonio Saracino, and Fabio Terribile
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spatial decision support system ,forestry ,LiDAR ,simulation ,Plant ecology ,QK900-989 - Abstract
Forests are part of a complex landscape mosaic and play a crucial role for people living both in rural and urbanized spaces. Recent progresses in modelling and Decision Support System (DSS) applied to the forestry sector promise to improve public participative forest management and decision-making in planning and conservation issues. However, most DSS are not open-source systems, being in many cases software designed for site-specific applications in forest ecosystems. Furthermore, some of these systems often miss challenging the integration of other land uses within the landscape matrix, which is a key issue in modern forestry planning aiming at linking recent developments in open-source Spatial-DSS systems to sectorial forest knowledge. This paper aims at demonstrating that a new type of S-DSS, developed within the Life+ project SOILCONSWEB over an open-source Geospatial Cyber-Infrastructure (GCI) platform, can provide a strategic web-based operational tool for forest resources management and multi-purpose planning. In order to perform simulation modelling, all accessible via the Web, the GCI platform supports acquisition and processing of both static and dynamic data (e.g., spatial distribution of soil and forest types, growing stock and yield), data visualization and computer on-the-fly applications. The DSS forestry tool has been applied to a forest area of 5,574 ha in the southern Apennines of Peninsular Italy, and it has been designed to address forest knowledge and management providing operational support to private forest owners and decision-makers involved in management of forest landscape at different levels. Such a geospatial S-DSS tool for supporting integrated forest knowledge at landscape represents a promising tool to implement sustainable forest management and planning. Results and output of the platform will be shown through a short selection of practical case studies.
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- 2019
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15. Assessing the Potential of Cereal Production Systems to Adapt to Contrasting Weather Conditions in the Mediterranean Region
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Marie Therese Abi Saab, Mohamed Houssemeddine Sellami, Pasquale Giorio, Angelo Basile, Antonello Bonfante, Youssef Rouphael, Salim Fahed, Ihab Jomaa, Chafic Stephan, Rabih Kabalan, Randa Massaad, Mladen Todorovic, and Rossella Albrizio
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climate change ,cereal production ,supplemental irrigation ,no-till ,frost ,Triticum durum Desf. ,Hordeum vulgare L. ,Agriculture - Abstract
Variable rainfall, water stress, and spring frost are the main challenges for cereal growers in the Mediterranean region. The potential of wheat and barley to adapt to contrasting weather conditions was investigated through the adoption of no-till, supplemental irrigation and drought tolerant cultivars over a period of three years. Seasonal precipitation was 732, 336 and 685 mm in the first, second and third seasons, respectively. The second and third seasons were characterized by the occurrence of spring frost. No tillage did not affect productivity in either crop, while supplemental irrigation increased yield only in barley. For wheat, the grain yield was 60 and 43% respectively lower in the second and third seasons than in the first season. For barley, grain yield was 43% higher in the first season than the other two. The negative effect of frost on wheat yield was indirectly assessed by crop growth simulation. Principal component analysis shows that freezing temperatures associated with spring frost and rainfall both dictated crop growth and productivity.
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- 2019
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16. Special Issue 'Soil Hydrology in Agriculture'
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Angelo Basile and Antonio Coppola
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n/a ,Hydraulic engineering ,TC1-978 ,Water supply for domestic and industrial purposes ,TD201-500 - Abstract
Understanding the hydrological behavior of soils is essential for managing and protecting agricultural (and natural) ecosystems [...]
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- 2019
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17. Identifying Optimal Irrigation Water Needs at District Scale by Using a Physically Based Agro-Hydrological Model
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Antonio Coppola, Giovanna Dragonetti, Asma Sengouga, Nicola Lamaddalena, Alessandro Comegna, Angelo Basile, Nicoletta Noviello, and Luigi Nardella
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irrigation ,decision support systems ,soil water flow modeling ,irrigation networks modeling ,Hydraulic engineering ,TC1-978 ,Water supply for domestic and industrial purposes ,TD201-500 - Abstract
This paper mainly aims to illustrate an irrigation management tool to simulate scheduling of district-level water needs over the course of an irrigation season. The tool is mostly based on a daily model for simulating flow of water (and solutes) in heterogeneous agri-environmental systems (called FLOWS-HAGES). The model produces information on the daily evolution of: soil water contents and pressure potentials in the soil profile; water uptake and actual evapotranspiration; stress periods for each crop; return fluxes to the groundwater and their quality in terms of solute concentrations (e.g., nitrates). FLOWS-HAGES provides a daily list of hydrants to be operated according to water or crop-based criteria. The daily optimal sequence of hydrant use may thus be established by passing the volumes to be delivered on to the model for simulating the hydraulics of the irrigation network, in order to ensure that the discharges flowing inside the network of distribution pipes are delivered under optimal pressure head distribution in the system. All the above evaluations can be carried out in a stochastic framework to account for soil heterogeneity and climate changes. To illustrate the potential of FLOWS-HAGES, a case study was considered for a selected sector of the Irrigation District 10 in the “Sinistra Ofanto„ irrigation system (southern Italy, Apulia region). In a 139 ha area (Sector 6 of the Irrigation District), soil profiles were analyzed for characterization of hydraulic properties variability. Hydraulic properties were determined by a combination of field and laboratory measurements. Model simulations were validated by comparing soil water storage simulated and measured by a sensor based on electromagnetic induction technique. Irrigation water volumes and frequency calculated by the model were compared to the volumes actually supplied by the farmers. Compared to the farmers behavior, the model simulates more frequent irrigations with lower irrigation volumes. Finally, some indexes of irrigation performance were calculated for each farm under study. The resulting maps provide useful information on the spatial distribution of farmer behavior, indicating the abuse or underuse of water as well as the fraction of the water lost by drainage following the irrigation method applied.
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- 2019
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18. How does PTF Interpret Soil Heterogeneity? A Stochastic Approach Applied to a Case Study on Maize in Northern Italy
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Angelo Basile, Antonello Bonfante, Antonio Coppola, Roberto De Mascellis, Salvatore Falanga Bolognesi, Fabio Terribile, and Piero Manna
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hydraulic properties ,simulation model ,PTF ,Monte Carlo ,NDVI ,maize ,above ground biomass ,Hydraulic engineering ,TC1-978 ,Water supply for domestic and industrial purposes ,TD201-500 - Abstract
Soil water balance on a local scale is generally achieved by applying the classical nonlinear Richards equation that requires hydraulic properties, namely, water retention and hydraulic conductivity functions, to be known. Its application in agricultural systems on field or larger scales involves three major problems being solved, related to (i) the assessment of spatial variability of soil hydraulic properties, (ii) accounting for this spatial variability in modelling large-scale soil water flow, and (iii) measuring the effects of such variability on real field variables (e.g., soil water storage, biomass, etc.). To deal with the first issue, soil hydraulic characterization is frequently performed by using the so-called pedotransfer functions (PTFs), whose effectiveness in providing the actual information on spatial variability has been questioned. With regard to the second problem, the variability of hydraulic properties at the field scale has often been dealt with using a relatively simple approach of considering soils in the field as an ensemble of parallel and statistically independent tubes, assuming only vertical flow. This approach in dealing with spatial variability has been popular in the framework of a Monte Carlo technique. As for the last issue, remote sensing seems to be the only viable solution to verify the pattern of variability, going by several modelling outputs which have considered the soil spatial variability. Based on these premises, the goals of this work concerning the issues discussed above are the following: (1) analyzing the sensitivity of a Richards-based model to the measured variability of θ(h) and k(θ) parameters; (2) establishing the predictive capability of PTF in terms of a simple comparison with measured data; and (3) establishing the effectiveness of use of PTF by employing as data quality control an independent and spatially distributed estimation of the Above Ground Biomass (AGB). The study area of approximately 2000 hectares mainly devoted to maize forage cultivation is located in the Po plain (Lodi), in northern Italy. Sample sites throughout the study area were identified for hydropedological analysis (texture, bulk density, organic matter content, and other chemical properties on all the samples, and water retention curve and saturated hydraulic conductivity on a sub-set). Several pedotransfer functions were tested; the PTF‒Vereckeen proved to be the best one to derive hydraulic properties of the entire soil database. The Monte Carlo approach was used to analyze model sensitivity to two measured input parameters: the slope of water retention curve (n) and the saturated hydraulic conductivity (k0). The analysis showed sensitivity of the simulated process to the parameter n being significantly higher than to k0, although the former was much less variable. The PTFs showed a smoothing effect of the output variability, even though they were previously validated on a set of measured data. Interesting positive and significant correlations were found between the n parameter, from measured water retention curves, and the NDVI (Normalized Difference Vegetation Index), when using multi-temporal (2004⁻2018) high resolution remotely sensed data on maize cultivation. No correlation was detected when the n parameter derived from PTF was used. These results from our case study mainly suggest that: (i) despite the good performance of PTFs calculated via error indexes, their use in the simulation of hydrological processes should be carefully evaluated for real field-scale applications; and (ii) the NDVI index may be used successfully as a proxy to evaluate PTF reliability in the field.
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- 2019
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19. Progress in Modeling of Silica-Based Membranes and Membrane Reactors for Hydrogen Production and Purification
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Kamran Ghasemzadeh, Angelo Basile, and Adolfo Iulianelli
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silica membrane reactor ,hydrogen production ,modeling ,silica-based membrane ,Chemistry ,QD1-999 - Abstract
Hydrogen is seen as the new energy carrier for sustainable energy systems of the future. Meanwhile, proton exchange membrane fuel cell (PEMFC) stacks are considered the most promising alternative to the internal combustion engines for a number of transportation applications. Nevertheless, PEMFCs need high-grade hydrogen, which is difficultly stored and transported. To solve these issues, generating hydrogen using membrane reactor (MR) systems has gained great attention. In recent years, the role of silica membranes and MRs for hydrogen production and separation attracted particular interest, and a consistent literature is addressed in this field. Although most of the scientific publications focus on silica MRs from an experimental point of view, this review describes the progress done in the last two decades in terms of the theoretical approach to simulate silica MR performances in the field of hydrogen generation. Furthermore, future trends and current challenges about silica membrane and MR applications are also discussed.
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- 2019
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20. PyRater: A Python Toolkit for Annotation Analysis.
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Angelo Basile, Marc Franco-Salvador, and Paolo Rosso
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- 2024
21. Advances in Methanol Production and Utilization, with Particular Emphasis toward Hydrogen Generation via Membrane Reactor Technology
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Francesco Dalena, Alessandro Senatore, Marco Basile, Sarra Knani, Angelo Basile, and Adolfo Iulianelli
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methanol ,steam reforming ,water gas shift ,partial oxidation ,membrane reactors ,hydrogen ,Chemical technology ,TP1-1185 ,Chemical engineering ,TP155-156 - Abstract
Methanol is currently considered one of the most useful chemical products and is a promising building block for obtaining more complex chemical compounds, such as acetic acid, methyl tertiary butyl ether, dimethyl ether, methylamine, etc. Methanol is the simplest alcohol, appearing as a colorless liquid and with a distinctive smell, and can be produced by converting CO2 and H2, with the further benefit of significantly reducing CO2 emissions in the atmosphere. Indeed, methanol synthesis currently represents the second largest source of hydrogen consumption after ammonia production. Furthermore, a wide range of literature is focused on methanol utilization as a convenient energy carrier for hydrogen production via steam and autothermal reforming, partial oxidation, methanol decomposition, or methanol–water electrolysis reactions. Last but not least, methanol supply for direct methanol fuel cells is a well-established technology for power production. The aim of this work is to propose an overview on the commonly used feedstocks (natural gas, CO2, or char/biomass) and methanol production processes (from BASF—Badische Anilin und Soda Fabrik, to ICI—Imperial Chemical Industries process), as well as on membrane reactor technology utilization for generating high grade hydrogen from the catalytic conversion of methanol, reviewing the most updated state of the art in this field.
- Published
- 2018
- Full Text
- View/download PDF
22. Progress in Methanol Steam Reforming Modelling via Membrane Reactors Technology
- Author
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Adolfo Iulianelli, Kamran Ghasemzadeh, and Angelo Basile
- Subjects
methanol steam reforming ,hydrogen production ,modelling ,membrane reactors ,Chemical technology ,TP1-1185 ,Chemical engineering ,TP155-156 - Abstract
Hydrogen has attracted growing attention for various uses, and, particularly, for polymer electrolyte membrane fuel cells (PEMFCs) supply. However, PEMFCs need high grade hydrogen, which is difficult in storing and transportation. To solve these issues, hydrogen generation from alcohols and hydrocarbons steam reforming reaction has gained great consideration. Among the various renewable fuels, methanol is an interesting hydrogen source because at room temperature it is liquid, and then, easy to handle and to store. Furthermore, it shows a relatively high H/C ratio and low reforming temperature, ranging from 200 to 300 °C. In the field of hydrogen generation from methanol steam reforming reaction, a consistent literature is noticeable. Despite various reviews that are more devoted to describe from an experimental point of view the state of the art about methanol steam reforming reaction carried in conventional and membrane reactors, this work describes the progress in the last two decades about the modelling studies on the same reaction in membrane reactors.
- Published
- 2018
- Full Text
- View/download PDF
23. Supported Pd-Au Membrane Reactor for Hydrogen Production: Membrane Preparation, Characterization and Testing
- Author
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Adolfo Iulianelli, Marjan Alavi, Giuseppe Bagnato, Simona Liguori, Jennifer Wilcox, Mohammad Reza Rahimpour, Reza Eslamlouyan, Bryce Anzelmo, and Angelo Basile
- Subjects
Pd-Au membrane ,methane steam reforming ,composite membrane ,hydrogen production ,Organic chemistry ,QD241-441 - Abstract
A supported Pd-Au (Au 7wt%) membrane was produced by electroless plating deposition. Permeation tests were performed with pure gas (H2, H2, N2, CO2, CH4) for long time operation. After around 400 h under testing, the composite Pd-Au membrane achieved steady state condition, with an H2/N2 ideal selectivity of around 500 at 420 °C and 50 kPa as transmembrane pressure, remaining stable up to 1100 h under operation. Afterwards, the membrane was allocated in a membrane reactor module for methane steam reforming reaction tests. As a preliminary application, at 420 °C, 300 kPa of reaction pressure, space velocity of 4100 h−1, 40% methane conversion and 35% hydrogen recovery were reached using a commercial Ni/Al2O3 catalyst. Unfortunately, a severe coke deposition affected irreversibly the composite membrane, determining the loss of the hydrogen permeation characteristics of the supported Pd-Au membrane.
- Published
- 2016
- Full Text
- View/download PDF
24. Zero-Shot Data Maps. Efficient Dataset Cartography Without Model Training.
- Author
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Angelo Basile, Marc Franco-Salvador, and Paolo Rosso
- Published
- 2023
- Full Text
- View/download PDF
25. A sound understanding of a cropping system model with the global sensitivity analysis.
- Author
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Annachiara Colombi, Marialaura Bancheri, Marco Acutis, Angelo Basile, Marco Botta, and Alessia Perego
- Published
- 2024
- Full Text
- View/download PDF
26. Active Few-Shot Learning with FASL.
- Author
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Thomas Müller 0009, Guillermo Pérez-Torró, Angelo Basile, and Marc Franco-Salvador
- Published
- 2022
- Full Text
- View/download PDF
27. Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot Classifiers.
- Author
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Angelo Basile, Marc Franco-Salvador, and Paolo Rosso
- Published
- 2022
- Full Text
- View/download PDF
28. UPV-Symanto at eRisk 2021: Mental Health Author Profiling for Early Risk Prediction on the Internet.
- Author
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Angelo Basile, Mara Chinea-Rios, Ana Sabina Uban, Thomas Müller 0014, Luise Rössler, Seren Yenikent, Berta Chulvi, Paolo Rosso, and Marc Franco-Salvador
- Published
- 2021
29. Probabilistic Ensembles of Zero- and Few-Shot Learning Models for Emotion Classification.
- Author
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Angelo Basile, Guillermo Pérez-Torró, and Marc Franco-Salvador
- Published
- 2021
30. Protest Event Detection: When Task-Specific Models Outperform an Event-Driven Method.
- Author
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Angelo Basile and Tommaso Caselli
- Published
- 2020
- Full Text
- View/download PDF
31. SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations.
- Author
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Angelo Basile, Marc Franco-Salvador, Neha Pawar, Sanja Stajner, Mara Chinea-Rios, and Yassine Benajiba
- Published
- 2019
- Full Text
- View/download PDF
32. You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification.
- Author
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Angelo Basile, Albert Gatt, and Malvina Nissim
- Published
- 2019
- Full Text
- View/download PDF
33. Active Few-Shot Learning with FASL.
- Author
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Thomas Müller 0014, Guillermo Pérez-Torró, Angelo Basile, and Marc Franco-Salvador
- Published
- 2022
- Full Text
- View/download PDF
34. TAJJEB at SemEval-2018 Task 2: Traditional Approaches Just Do the Job with Emoji Prediction.
- Author
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Angelo Basile and Kenny W. Lino
- Published
- 2018
- Full Text
- View/download PDF
35. Biomedical Engineering Challenges: A Chemical Engineering Insight
- Author
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Vincenzo Piemonte, Angelo Basile, Taichi Ito, Luigi Marrelli, Vincenzo Piemonte, Angelo Basile, Taichi Ito, Luigi Marrelli and Vincenzo Piemonte, Angelo Basile, Taichi Ito, Luigi Marrelli, Vincenzo Piemonte, Angelo Basile, Taichi Ito, Luigi Marrelli
- Published
- 2018
36. Simply the Best: Minimalist System Trumps Complex Models in Author Profiling.
- Author
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Angelo Basile, Gareth Dwyer, Maria Medvedeva, Josine Rawee, Hessel Haagsma, and Malvina Nissim
- Published
- 2017
- Full Text
- View/download PDF
37. An Open-Vocabulary Approach to Authorship Attribution.
- Author
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Angelo Basile
- Published
- 2019
38. ProTestA: Identifying and Extracting Protest Events in News Notebook for ProtestNews Lab at CLEF 2019.
- Author
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Angelo Basile and Tommaso Caselli
- Published
- 2019
39. A geospatial decision support system to assist olive growing at the landscape scale.
- Author
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Piero Manna, Antonello Bonfante, Marco Colandrea, Claudio Di Vaio, Giuliano Langella, Luigi Marotta, Florindo Antonio Mileti, Luciana Minieri, Fabio Terribile, Simona Vingiani, and Angelo Basile
- Published
- 2020
- Full Text
- View/download PDF
40. In situ estimation of soil hydraulic and hydrodispersive properties by inversion of electromagnetic induction measurements and soil hydrological modeling
- Author
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Giovanna Dragonetti, Mohammad Farzamian, Antonio Coppola, Angelo Basile, and Fernando Monteiro Santos
- Subjects
General Earth and Planetary Sciences ,General Environmental Science - Abstract
Determining soil hydraulic and hydrodispersive properties is crucial for the sustainable management of water resources and agricultural land. Due to the local heterogeneity of soil hydrological properties and the lack of fast in-situ measurement techniques, it is hard to assess these properties at the field scale. The present study proposes a methodology based on the integration of Electromagnetic Induction (EMI) and hydrological modeling to estimate soil hydraulic and transport properties at the field scale. To this aim, two sequential water infiltration and solute transport experiments were carried out over a small field plot. The propagation of wetting front and solute concentration along the soil profile was monitored using an EMI sensor (i.e. CMD mini-Explorer), Time Domain Reflectometry (TDR) probes, and tensiometers. Time-lapse apparent electrical conductivity (σa) data obtained from the EMI sensor were inverted to estimate the evolution of the vertical distribution of the bulk electrical conductivity (σb) over time. The σb distributions were converted to water content and solute concentration by using a laboratory calibration, relating σb to water content (θ) and soil solution electrical conductivity (σw). The hydraulic and hydrodispersive properties were then obtained by an optimization procedure minimizing the deviations between the numerical solution of the water flow and solute transport processes and the estimated water contents and concentrations inferred from the EMI results. The EMI-based results were finally compared to the results obtained from the in-situ TDR and tensiometer measurements. In general, the EMI readings lead to underestimated water contents as compared to the TDR data. And yet, the water content changes over time detected by the EMI closely followed those observed by TDR and contain enough information for effective EMI-based reconstructions of water retention and hydraulic conductivity curves for the soil profile. In addition, this allowed us to reproduce the solute concentration distributions and thus the hydro-dispersive properties of the soil profile. Overall, the results suggest that time-lapse EMI measurements could be used as a rapid, non-invasive, field-scale method to assess soil hydraulic and hydro-dispersive properties, which are critical to hydrological models for agro-environmental applications.
- Published
- 2022
41. CrotoneMilano for AMI at Evalita2018. A Performant, Cross-lingual Misogyny Detection System.
- Author
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Angelo Basile and Chiara Rubagotti
- Published
- 2018
42. CapetownMilanoTirana for GxG at Evalita2018. Simple N-gram Based Models Perform Well for Gender Prediction. Sometimes. (Short Paper).
- Author
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Angelo Basile, Gareth Dwyer, and Chiara Rubagotti
- Published
- 2018
43. A geospatial decision support system for supporting quality viticulture at the landscape scale.
- Author
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Fabio Terribile, Antonello Bonfante, Antonio Derossi, R. De Mascellis, Carlo De Michele, Giuliano Langella, Piero Manna, Florindo Antonio Mileti, Simona Vingiani, and Angelo Basile
- Published
- 2017
- Full Text
- View/download PDF
44. Multi-approach assessment of soil-based ecosystem services: the study case of Emilia Romagna Region (Italy)
- Author
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Piero Manna, Alessandra Aprea, Marialaura Bancheri, Angelo Basile, Gabriele Buttafuoco, Costanza Calzolari, Eduardo Medina, Paola Tarocco, and Fabrizio Ungaro
- Abstract
The European vision for soil by 2050 is anchored in the EU biodiversity strategy for 2030 and in the Climate Adaption Strategy with the purpose of contributing significantly to several objectives of the European Green Deal and Sustainable Development Goal 15.3 of the United Nations. Consequently, Soil based Ecosystem Services (SESs) have now become a critical topic within the scientific community and policy where both definition and quantification of SESs are being actively discussed. Based on available inputs, different approaches can be chosen at the required spatial scale and outputs. Among the many available approaches, there are those based on a time-invariant soil property (e.g., clay content, AWC) or on a soil property varying on time (e.g., SOM), or yet process-based (e.g., soil functions). The study was carried out within the EJP Soil SERENA project and was aimed at comparing the outcomes of two different approaches for assessing SESs, in which soil physics is the key factor in regulating the functioning of agricultural ecosystems. In particular, i) a physically based modelling approach to map and quantify multiple potential SESs considering the non-linear processes and dynamic nature of the whole ecosystem ii) a spatially explicit indicators-based approach based on DSM and geostatistics. Both approaches are fed with soil data from the regional soil database. The study area (3703 km2) is the province of Bologna (Emilia Romagna Region, NE Italy) and was chosen because of its large variability in terms of pedoclimatic conditions with 7 climatic zones and about 200 soil mapping units. The comparison involved the following SESs: water regulation and storage, buffering capacity, climate regulation (via C stock sequestration), crop production, and was performed in terms of data availability, spatial scale, output provided, and users’ needs.
- Published
- 2023
45. A DSS for the dynamical assessment and mapping of the groundwater vulnerability: the pesticide and the nitrate fate tools
- Author
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Marialaura Bancheri, Marco Acutis, Marco Botta, Francesco Fusco, Giuliano Langella, Daniele Lezzi, Alessia Perego, and Angelo Basile
- Abstract
This work presents two web-based, freely-available dynamical tools for the assessment and the mapping of the groundwater vulnerability to both pesticides and nitrate, within the geospatial Decision Support system (s-DSS) LandSupport (www.landsupport.eu).The pesticide fate tool simulates the transport of reactive solutes, i.e., pesticides, and maps the percentage of pollutant mass that reaches the groundwater depth within a user defined time-interval. The tool is based on the extended transfer function model (TFM-ext) and its main inputs are: the soil and, eventually, the vadose zone physical and hydrological properties, the climate, the groundwater table depth, the investigated crop and its management (sowing and harvesting dates, pesticides doses and time of application).The nitrate fate tool simulates the crop growth dynamics and assess the transport of nitrate through the unsaturated zone till the groundwater table depth. The output maps represent the number of years for the arrival to the groundwater of the 50% of the mass of nitrate leachate from the root zone. The tool is based on the coupling of the dynamical crop-growth ARMOSA model and of the TFM-ext model and its main inputs are: the type of crop and/or crop-rotation and related managements (tillage, irrigation, fertilization and residues), the soil physical and hydrological properties, the climate and the groundwater table depth.Eventually, both tools were extended using the COMPSs programming framework that allows to parallelize the execution of multiple model runs.The work presents the implementations of both tools for different case studies across three European regions (Campania Region-IT, Marchfeld Region-AT, Zala County-HU), characterized by different spatial scales, pedo-climatic conditions and land-use, showing some examples of applications in support of local farmers, public authorities and environmental planners for the Water, Pesticides and Nitrate Directive applications.
- Published
- 2023
46. An outlook on the state of soil health research
- Author
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Fabio Terribile, Angelo Basile, and Antonello Bonfante
- Abstract
Looking to research databases (e.g. WoS), it is self-evident that (i) in the last 5 years there is an exponential increase of papers having a Soil Health (SH) focus (« soil health » in the title), (ii) most of these papers are produced after USA and Asian countries while Europe is well behind (less than 1/3 of USA production), (iii) most of this scientific production is sustained by public authorities (e.g. USDA in USA). It is also well known that Soil health has become a key topic for policy due to the contribution of the EU Soil Mission. Thanks to this effort, in EU we have an important direction towards its definition since Soil Health needs to deliver a specific list of ecosystem services (after the Soil Thematic Strategy policy instrument). Then how to measure soil health? If we look the scientific work on SH, there are plenty of indicators based on soil parameters, soil properties and soil functions, but almost no or minimal ecosystem services evaluations. The most widespread approaches in scientific literature is to evaluate SH are based on empirical approaches. But if SH has to evaluate ecosystem services and if SH requires approaches easy to be transferable to new areas then it is of paramount importance to stress the need and importance of mechanistic models versus empiric models. In fact decades of research have proved that empirical approaches require much larger calibration dataset and they have also much lower transferability as compared to mechanistic models. Consequently, not all models are the same especially in view of their implementation in operational Decision Support Systems. This approach it will enable adaptation to every specific region and their related ecosystem services. What is now required from the research community are: (i) Operational procedures to assess multiscale ecosystem services and the role of soils in contributing to such services and (ii) effective way to communicate results to end-users and stakeholders.
- Published
- 2023
47. A web-based tool for the quantification of the soil health based on Ecosystem Services
- Author
-
Angelo Basile, Marco Acutis, Antonello Bonfante, Marco Botta, Giuliano Langella, Piero Manna, Alessia Perego, Angela Puig-Sirera, Fabio Terribile, and Marialaura Bancheri
- Abstract
A formal definition and quantification of soil health is still a long way off. However, a broad consensus is based on the close connection between the soil capacity to provide ecosystem services and its state of health.We propose a integrate assessment of multiple potential soil-based ecosystem services through the use of a process-based modelling, simulating the water flow and the crop growth in the soil-plant-atmosphere system.Specifically, we evaluate the soil contribution to i) Food provision through the biomass estimation; ii) Nutrient and pollutants retention and release through the estimation of soil filtering capacity; iii) Water regulation/runoff and flood control through the number of days showing a potential runoff triggering; iv) Water regulation/water storage through the water yearly stored in the soil; v) Water regulation/groundwater recharge through its yearly value; and vi) Microclimate regulation through the total evapotranspiration. All of the above ecosystem services are combined into one indicator of soil health. The proposed approach was framed in the context of the geospatial Decision Support Systems LandSupport (www.landsupport.eu) that, in the latest years, proved to be powerful instruments for the what-if scenario analysis in support of multiple stockholders and end-users.Through the what-if scenario analysis the end-user can evaluate the soil health resilience of a specific soil by simulating the effects of some degradation processes occurrence: i) a compacted plow layer at a chosen ploughing depth, ii) a compacted soil surface, iii) a thickness reduction of the Ap horizon following an erosion process. Furthermore, the gain in soil health can be evaluated by simulating the effect of an increase of organic matter.The Soil Health tool is designed to assist Public Authorities, such as regional environmental agencies, farmers and farmer advisors in designing plans and in evaluation of impacts of the measures in order to ensure a good health of the soils.
- Published
- 2023
48. Guest Editorial for a special issue on the selected papers from 'HYdrogen POwer THeoretical and Engineering Solutions – International Symposium (HYPOTHESIS XVI).'
- Author
-
Ala'a H. Al-Muhtaseb and Angelo Basile
- Subjects
Fuel Technology ,Renewable Energy, Sustainability and the Environment ,Energy Engineering and Power Technology ,Condensed Matter Physics - Published
- 2023
49. Membrane Reactor Engineering: Applications for a Greener Process Industry
- Author
-
Angelo Basile, Marcello De Falco, Gabriele Centi, Gaetano Iaquaniello, Angelo Basile, Marcello De Falco, Gabriele Centi, Gaetano Iaquaniello and Angelo Basile, Marcello De Falco, Gabriele Centi, Gaetano Iaquaniello, Angelo Basile, Marcello De Falco, Gabriele Centi, Gaetano Iaquaniello
- Published
- 2016
50. Guest editorial for special issue EFC21
- Author
-
Viviana Cigolotti, Gaetano Squadrito, and Angelo Basile
- Subjects
Fuel Technology ,Renewable Energy, Sustainability and the Environment ,Energy Engineering and Power Technology ,Condensed Matter Physics - Published
- 2023
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