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Settore Idraulica e Settore Costruzioni Idrauliche e Marittime e Idrologia

Area di ricerca: Area 08 - Ingegneria Ambientale e Civile

Settore: ICAR/01 - Idraulica; ICAR/02 - Costruzioni Idrauliche e Marittime e Idrologia

Ricercatori:
Strutturati
Albano Raffaele, De Vincenzo Annamaria, Greco Michele, Margiotta Maria Rosaria, Masi Vincenzo, Mirauda Domenica, Oliveto Giuseppe, Pannone Marilena, Sole Aurelia, Telesca Vito

Non strutturati
Andrea Cantisani, Gianfranco Castronuovo, Arianna Mazzariello, Nicla Notarangelo

Tecnici:
Beniamino Onorati, Vincenzo Scuccimarra

Tematiche di ricerca:
Le tematiche di ricerca, sviluppate nel corso del 2021, si articolano nei seguenti settori:

-   meccanica dei fluidi: analisi del flusso e del trasporto in mezzi porosi (con particolare riferimento alle formazioni prive di scala caratteristica ed ai processi di diluizione delle sostanze chimiche sversate);  valutazione della risposta dinamica di corpi investiti da correnti a superficie libera in modo stazionario; modellazione del processo di perfusione ventricolare fisiologica e patologica a partire dalle equazioni di governo dei fenomeni di swelling-drainage dei mezzi porosi; analisi dei flussi sanguigni in corrispondenza di valvole cardiache attraverso l’uso di tecniche PIV.

-   idrologia: previsione degli estremi idrologici; modellazione idrologica distribuita sia per il bilancio idrico sia per la valutazione delle piene in tempo reale; analisi dei fenomeni di cambiamento climatico e degli effetti delle variazioni del clima sulla salute umana con algoritmi di intelligenza artificiale; studio dell’eco-idrologia; implementazione dei modelli di bilancio energetico per la stima dell’evapotraspirazione reale.

-    rischio idraulico-idrologico: monitoraggio, previsione e valutazione, a scala locale, regionale e continentale, delle piene in ambito fluviale, pluviale e dovute ad eventi di dam-break; progettazione di sistemi di mitigazione e adattamento del rischio; sviluppo di sistemi di comunicazione e di partecipazione ai processi decisionali nel campo della resilienza idraulica, della gestione integrata delle risorse idriche e dell’agricoltura sostenibile. Le attività di ricerca in tale ambito fanno uso di immagini telerilevate e di moderne tecniche di rilievo del territorio (Laser scanner, droni, GPS, fotogrammetria), di modelli di Intelligenza Artificiale, di modelli idrodinamici e geomorfici e di Sistemi Informativi.

-   idraulica fluviale: studio della dispersione idrodinamica e del campo di moto delle correnti fluviali, anche in presenza di alvei multicorsali (braiding e sua interpretazione teorico-sperimentale in termini di stream-power) e meandriformi (nel qual caso l’enfasi è posta sulle dinamiche ed i tempi caratteristici del cutoff e la creazione degli oxbow-lakes); analisi dei fenomeni di sedimentazione degli invasi ed erosione a valle, delle problematiche connesse al riutilizzo dei sedimenti dragati per il ripascimento delle spiagge in erosione e della fattibilità economica dello stesso; caratterizzazione dei processi di sedimentazione e aggregazione dei sedimenti argillosi negli invasi e nei geotubi di stoccaggio; valutazione del trasporto solido sia su scala locale (ad esempio nell’interazione fra le correnti fluviali e i ponti) che su scala di asta fluviale (ad esempio nel caso di restringimenti d’alveo); modellamento degli alvei alluvionati; modellazione basata su tecnica Smoothed Particle Hydrodynamics - SPH anche per il trasporto di materiale flottante; monitoraggio delle grandezze idrauliche nei corsi d’acqua naturali attraverso l’uso di tecnologie di realtà aumentata e virtuale.

-   infrastrutture idrauliche: sviluppo di metodologie innovative per l’ottimizzazione delle reti idriche e recupero di energia attraverso tecnologie Smart; implementazione di metodi numerici avanzati per la rilevazione delle perdite nei sistemi acquedottistici.

-    idraulica marittima e costiera: valutazione degli scenari indotti sia da mareggiate estreme sia in combinazione con gli effetti dovuti ai cambiamenti climatici per innalzamento del livello medio mare.

Pubblicazioni degli ultimi 5 anni

- Rivista

2021

  2. Cimorelli, L., Covelli, C., De Vincenzo, A., Pianese, D., Molino, B.  (2021). Sedimentation in Reservoirs: Evaluation of Return Periods Related to Operational Failures of Water Supply Reservoirs with Monte Carlo Simulation. Journal of Water Resources Planning and Management 147(1), https://doi.org/10.1061/(ASCE)WR.1943-5452.0001307.
  4. Greco, M., Arbia, F., Giampietro, R. (2021). Definition of Ecological Flow Using IHA and IARI as an Operative Procedure for Water Management. Environments 2021, 8, 77. https://doi.org/10.3390/environments8080077.
  6. Lay-Ekuakille, A., Ugwiri, M.A., Telesca, V., Velazquez, R., Passarella, G., Maggi S. (2021). Detection of river flow slow-down through sensing system and quasi-real time imaging. Flow Measurement and Instrumentation, vol. 81, ISSN: 0955-5986, doi:10.1016/j.flowmeasinst.2021.102042.
  8. Lay-Ekuakille, Telesca, V., Visconti, P., Giannoccaro, N.I. (2021). Accurate spectral estimation technique based on decimated linear predictor for leak detection in waterworks. Sensors, vol. 21, ISSN: 1424-8220, doi: 10.3390/s21062185.
  10. Jain, R., Lodhi, A.S., Oliveto, G., Pandey, M. (2021). Influence of cohesion on scour at piers founded in clay-sand-gravel mixtures. Journal of Irrigation and Drainage Engineering ASCE, Vol.147 (10), 04021046, doi.org/10.1061/(ASCE)IR.1943-4774.0001616. [Paper also included in the Special Collection of JIDE on “Sediment Transport in Water-Resources Engineering”].
  12. Mirauda, D., Caniani, D., Colucci, M.T., Ostoich, M. (2021). Assessing the fluvial system resilience of the river Bacchiglione to point sources of pollution in Northeast Italy: a novel Water Resilience Index (WRI) approach. Environmental Science and Pollution Research 28(27), 36775–36792, https://doi.org/10.1007/s11356-021-13157-5.
  14. Najafzadeh, M., Oliveto, G. (2021). Exploring 3D wave-induced scouring patterns around subsea pipelines with artificial intelligence techniques. Applied Sciences MDPI, Vol.11 (9), 3792, https://doi.org/doi.org/10.3390/ app11093792.
  16. Najafzadeh, M., Oliveto, G. (2021). More reliable predictions of clear-water scour depth at pile groups by robust artificial intelligence techniques while preserving physical consistency. Soft Computing Springer 25, 5723-5746, https://doi.org/10.1007/s00500-020-05567-3.
  18. Notarangelo, N.M., Hirano, K., Albano R., Sole A. (2021). Transfer Learning with Convolutional Neural Networks for Rainfall Detection in Single Images, Water, 13(5), 588, DOI:10.3390/w13050588
  20. Notarangelo, N.M., Mazzariello, A., Albano, R., Sole, A. (2021). Comparing Three Machine Learning Techniques for Building Extraction from a Digital Surface Model Appl. Sci., 11(13), 6072, DOI:10.3390/app11136072
  22. Pannone, M. (2021). Modeling Left Ventricle Perfusion in Healthy and Stenotic Conditions, Bioengineering, 8(5), 64, https://doi.org/10.3390/bioengineering8050064.
  24. Pannone, M, De Vincenzo, A. (2021).Theoretical Investigation of Equilibrium Dynamics in Braided Gravel Beds for the Preservation of a Sustainable Fluvial Environment, Sustainability, 13(3), 1246, https://doi.org/10.3390/su13031246.
  26. Perna, M., De Vincenzo, A., Di Nunzio, G., Molino, B., Ambrosone, L. (2021). Settling analyses and investigations of clayey sediments to storage in geotubes. Sustainability 13(15), 8475, https://doi.org/10.3390/su13158475.
  28. Pizzulli, V.A., Telesca, V., Gabriela Covatariu (2021). Analysis of Correlation between Climate Change and Human Health Based on a Machine Learning Approach. Healthcare, vol. 9, ISSN: 2227-9032, https://doi.org/10.3390/healthcare9010086.
  30. Ragosta M., D'emilio M., Casaletto L., Telesca V. (2021). A statistical procedure for analyzing the behavior of air pollutants during temperature extreme events: The case study of emilia‐romagna region (northern Italy). Applied Sciences, vol. 11, ISSN: 2076-3417, https://doi.org/10.3390/app11178266.
  32. Sharma, A., Kumar, B., Oliveto, G. (2021). Experimental study on the near-bed flow characteristics of alluvial channel with seepage. Applied Sciences MDPI, 11 (20), 9619, https://doi.org/10.3390/app 11209619.
  34. Siciliano, A., Curcio, G .M., Limonti, C., Masi, S., Greco, M. (2021). Methylene blue adsorption on thermo plasma expanded graphite in a multilayer column system, J. of Env. Man., 296, 113365, ISSN 0301-4797, https://doi.org/10.1016/j.jenvman.2021.113365.
  36. Paridad, P., S.F. Dal Sasso, A. Pizarro, L. Mita, M. Fiorentino, M.R. Margiotta, F. Faridani, A. Farid, and S. Manfreda,  ( 2021) Estimation of soil moisture from UAS platforms using RGB and thermal imaging sensors in arid and semi-arid regions, ACTA Horticulture (in press).

2020

  2. Albano, R., Samela, C., Craciun, I., Manfreda, S., Adamowski, J., Sole, A., Sivertun, A., Ozunu, A. (2020). Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for Romania, Water, 12(6), 1834, DOI:10.3390/w12061834
  4. Albano, R., Manenti, S., Dominiguez, J.M., Li, S., Wang, D., (2020). Computational Methods and Applications to Simulate Water-Related Natural Hazards,  Mathematical Problems in Engineering,4363095, DOI:10.1155/2020/4363095
  6. Amicarelli, A., Manenti, S., Albano, R., Agate, G., Paggi, M., Longoni, L., Mirauda, D., Ziane, L., Viccione, G., Todeschini, S., Sole, A., Baldini, L. M., Brambilla, D., Papini, M., Khellaf, M. C., Tagliafierro, B., Sarno, L., Pirovano, G. (2020). SPHERA v.9.0.0: A Computational Fluid Dynamics research code, based on the Smoothed Particle Hydrodynamics mesh-less method. Computer Physics Communications, 250, 107157; doi: 10.1016/j.cpc.2020.107157.
  8. Anzidei M., Doumaz F., Vecchio A., Serpelloni E., Pizzimenti L., Civico R., Greco M., Martino G., Enei F., 2020: Sea Level Rise Scenario for 2100 A.D. in the Heritage Site of Pyrgi (Santa Severa, Italy), J. Mar. Sci. Eng. 2020, 8, 64, https://doi.org/10.3390/jmse8020064.
  10. Bagarani, M., De Vincenzo, A., Ievoli, C., Molino, B.  (2020). The reuse of sediments dredged from artificial reservoirs for beach nourishment: Technical and economic feasibility. Sustainability 12(17), 6820, https://doi.org/10.3390/su12176820.
  12. Lay-Ekuakille, A., Ugwiri, M.A., Okitadiowo, J.P.D., Telesca, V., Picuno, P., Liguori, C., Singh, S. (2020). SAR sensors measurements for environmental classification: Machine learning-based performances. IEEE Instrumentation & Measurement Magazine, vol. 23, p. 23-30, ISSN: 1094-6969.
  14. Mirauda, D., Albano, R., Sole, A., Adamowski, J. (2020). Smoothed particle hydrodynamics modeling with advanced boundary conditions for two dimensional dam-break floods. Water, 12, 1142, https://doi.org/10.3390/W12041142.
  16. Mirauda, D., Ostoich, M. (2020). MIMR criterion application: Entropy approach to select the optimal quality parameter set responsible for river pollution. Sustainability, 12, 2078; https://doi.org/ 10.3390/su12052078.
  18. Mirauda, D., Capece, N., Erra, U. (2020). Sustainable water management: Virtual reality training for open-channel flow monitoring. Sustainability, 12, 757, https://doi.org/ 10.3390/su12030757.
  20. Mirauda, D., Russo, M. G. (2020). Entropy wake law for streamwise velocity profiles in smooth rectangular open channels. Entropy, 22, 654, https://doi.org/10.3390/e22060654.
  22. Mirauda, D., Russo, M.G. (2020). Modeling bed shear stress distribution in rectangular channels using the entropic parameter. Entropy, 22, 87, https://doi.org/10.3390/e22010087.
  24. Molino, B., Bufalo, G., De Vincenzo, A., Ambrosone, L.  (2020). Semiempirical model for assessing dewatering process by flocculation of dredged sludge in an artificial reservoir. Applied Sciences 10(9), 3051, https://doi.org/10.3390/app10093051.
  26. Najafzadeh, M., Oliveto G. (2020). Riprap incipient motion for overtopping flows with machine learning models. Journal of Hydroinformatics IWA, 22 (4), 749-767, doi.org/10.2166/hydro.2020.129.
  28. Negri, M., Mirauda, D., Malavasi, S. (2020). An analysis method of the vortex induced vibrations of a tethered sphere. Meccanica, 55, 1949-1974, https://doi.org/ 10.1007/s11012-020-01231-0.
  30. Oliveto G. (2020). The impact of river contractions on the bed morphology under unsteady flows. International Journal of Sustainable Development and Planning IIETA, 15 (2), 185-191, https://doi. org/10.18280/ ijsdp.150208.
  32. Pandey, M., Oliveto, G., Pu, J.H., Sharma, P.K., Ojha, C.S.P. (2020). Pier Scour Prediction in Non-Uniform Gravel Beds. Water MDPI, 12 (6), 1696, https://doi.org/10.3390/w12061696.
  34. Pannone, M. (2020). A Theoretical Study about Ergodicity Issues in Predicting Contaminant Plume Evolution in Aquifers, Water, 12(10), 2929; https://doi.org/10.3390/w12102929.
  36. Peng, X., Admowski, J., Inam, A., Alizadeh, R. M., Albano, R. (2020). Development of a behaviour-pattern based global sensitivity analysis procedure for coupled socioeconomic and environmental models, Journal of Hydrology, 585, 124745, DOI:10.1016/j.jhydrol.2020.124745
  38. Perrone, A, Inam, A., Albano, R., Adamowski, J., Sole, A. (2020). A participatory system dynamics modeling approach to facilitate collaborative flood risk management: A case study in the Bradano River (Italy), Journal of Hydrology, 580, 124354, DOI:10.1016/j.jhydrol.2019.124354
  40. Taye, J., Barman, J., Kumar, B., Oliveto, G. (2020). Deciphering Morphological Changes in a Sinuous River System by Higher Order Velocity Moments. Water MDPI, 12 (3), 772, https://doi.org/10.3390/ w12030772.
  42. Telesca, V., Lay-Ekuakille, A. (2020). Flow distribution imaging and sensing for leaks in pipelines using decimated signal diagonalization. Measurement, vol. 7-9, ISSN: 0263-2241, https://doi.org/10.1016/j.measen.2020.100014.

2019

  2. Albano, R. (2019). Investigation on Roof Segmentation for 3D Building Reconstruction from Aerial LIDAR Point Clouds. Appl. Sci., 9, 4674. DOI:10.3390/app9214674
  4. Albano, R., Mancusi, L., Adamowski, J., Cantisani, A., Sole, A. (2019). A GIS Tool for Mapping Dam-Break Flood Hazards in Italy. ISPRS Int. J. Geo-Inf., 8, 250.DOI:10.3390/ijgi8060250
  6. Manenti, S., Wang, D., Domínguez, J.M., Li, S., Amicarelli, A., Albano, R. (2019). SPH Modeling of Water-Related Natural Hazards. Water, 11, 1875. DOI:10.3390/w11091875
  8. Coluzzi, R., D’Emilio, M., Imbrenda, V., Giorgio, G. A., Lanfredi, M., Macchiato, M., Ragosta, M., Simoniello, T., Telesca, V. (2019). Investigating climate variability and long-term vegetation activity across heterogeneous Basilicata agroecosystems. Geomatics, Natural Hazards & Risk, vol. 10, p. 168-180, ISSN: 1947-5705, https://doi.org/10.1080/19475705.2018.1513872.
  10. Corbari, C., Salerno, R., Ceppi, A., Telesca, V., Mancini, M. (2019). Smart irrigation forecast using satellite LANDSAT data and meteo-hydrological modeling. Agricultural Water Management, vol. 212, p. 283-294, ISSN: 0378-3774, https://doi.org/ 10.1016/j.agwat.2018.09.005.
  12. Lade, A.D., Deshpande, V., Kumar, B., Oliveto, G. (2019). On the morphodynamic alterations around bridge piers under the influence of instream mining. Water MDPI, 11 (8), 1683, https://doi.org/10.3390/w11081676.
  14. Lay-Ekuakille, Telesca, V., Giorgio, G. A. (2019). A sensing and monitoring system for hydrodynamic flow based on imaging and ultrasound. Sensors, vol. 19, ISSN: 1424-8220, https://doi.org/10.3390/s19061347.
  16. Mirauda, D., Russo, M.G. (2019). Information Entropy Theory Applied to the Dip Phenomenon Analysis in Open Channel Flows. Entropy, 21, 554, https://doi.org/10.3390/e21060554.
  18. Mirauda, D., Capece, N., Erra, U. (2019). StreamflowVL: A virtual fieldwork laboratory that supports traditional hydraulics engineering learning. Applied Sciences, 9, 4972, https://doi.org/10.3390/APP9224972.
  20. Oliveto, G., Marino, M.C. (2019). Morphological patterns at river contractions. Water MDPI, Vol.11 (8), 1683, https://doi.org/ 10.3390/w11081683.
  22. Mirauda, D., De Vincenzo, A., Pannone, M. (2019). Statistical characterization of flow field structure in evolving braided gravel beds, Spatial Statistics, 34, 100268, https://doi.org/10.1016/j.spasta.2017.10.004.

2018

  2. Albano, R. Sole, A. (2018). Geospatial Methods and Tools for Natural Risk Management and Communications. ISPRS Int. J. Geo-Inf., 7, 470. DOI:10.3390/ijgi7120470
  4. Albano, R., Sole, A., Adamowski, J., Perrone, A., Inam, A., (2018). Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy, International Journal of Applied Earth Observation and Geoinformation, Volume 73, pp. 220-229. DOI:10.1016/j.jag.2018.06.019
  6. Caniani, D., Calace, S., Mazzone, G., Caivano, M., Mancini, I.M., Greco M., Masi, S., (2018). Removal of Hydrocarbons from Contaminated Soils by Using a Thermally Expanded Graphite Sorbent, Bulletin of Environmental Contamination and Toxicology, Springer Nature, https://doi.org/10.1007/s00128-018-2395-4.
  8. Console, R., Chiappini, M., Minelli, M., Speranza, F., Carluccio, R., Greco, M. (2018). Seismic hazard in southern Calabria (Italy) based on the analysis of a synthetic earthquake catalog, Acta Geophysica, Springer Nature,  https://doi.org/10.1007/s11600-018-0181-7.
  10. De Vincenzo, A., Covelli, C., Molino, A.J., Pannone, M., Ciccaglione, M., Molino, B. (2018). Long-term management policies of reservoirs: Possible re-use of dredged sediments for coastal nourishment. Water 11(1), 15, https://doi.org/10.3390/w11010015.
  12. Greco, M., Martino, G. (2018). 1-D versus 2-D Entropy Velocity Law for Water Discharge Assessment in a Rough Ditch. Entropy 2018, 20, ISSN: 1099-4300,  https://doi.org/ 10.3390/e20090638.
  14. Lay-Ekuakille, A., Fabbiano, L., Vacca, G., Kitoko, J. K., Bibala, K.P., Telesca, V. (2018). A comparison between the decimated padé approximant and decimated signal diagonalization methods for leak detection in pipelines equipped with pressure sensors. Sensors, vol. 18, ISSN: 1424-8220, https://doi.org/10.3390/s18061810.
  16. Mirauda, D., Ostoich, M. (2018). Assessment of pressure sources and water body resilience: An integrated approach for action planning in a polluted river basin. International Journal of Environmental Research and Public Health, 15, 390,  https://doi.org/10.3390/ijerph15020390.
  18. Mirauda, D., Erra, U., Agatiello, R., Cerverizzo, M. (2018). Mobile Augmented Reality for flood events management. International Journal of Sustainable Development and Planning, 13(3), 418–424, https://doi.org/10.2495/SDP-V13-N3-418-424.
  2. Mirauda, D., De Vincenzo, A., Pannone, M. (2018). Simplified entropic model for the evaluation of suspended load concentration. Water, 10, 378, https://doi.org/10.3390/w10040378.
  4. Mirauda, D., Pannone, M., De Vincenzo, A. (2018). An entropic model for the assessment of streamwise velocity dip in wide open channels. Entropy, 20, 69;  https://doi.org/10.3390/e20010069.
  6. Negri, M., Mirauda, D., Malavasi, S. (2018). VIV trajectories of an elastically mounted sphere. Applied Ocean Research, 70, 62-75, https://doi.org/10.1016/j.apor.2017.11.006.
  8. Pannone, M., Mirauda, D., De Vincenzo, A., Molino, B. (2018). Longitudinal dispersion in straight open channels: Anomalous breakthrough curves and first-order analytical solution for the depth-averaged concentration. Water, 10, 478, https://doi.org/10.3390/w10040478.
  10. Samela, C., Albano, R., Sole, A., Manfreda, S. (2018). An open source GIS software tool for cost effective delineation of flood prone areas. Computers, Environment and Urban Systems, Volume 70, pp. 43-52. DOI:10.1016/j.compenvurbsys.2018.01.013
  12. Scarpino, S., Albano, R., Cantisani, A., Mancusi, L., Sole, A., Milillo, G., (2018). Multitemporal SAR Data and 2D Hydrodynamic Model Flood Scenario Dynamics  Assessment, ISPRS Int. J. Geo-Inf., 7 (3), 105. DOI:10.3390/ijgi7030105
  14. Telesca, V., Lay-Ekuakille, A., Ragosta, M., Giorgio, G.A., Lumpungu, B. (2018). Effects on Public Health of Heat Waves to Improve the Urban Quality of Life. Sustainability, vol. 10, ISSN: 2071-1050, https://doi.org/10.3390/su10041082.

2017

  2. Albano, R., Mancusi, L., Sole, A., Adamowski, J., (2017). FloodRisk: a collaborative free and open-source software for flood risk analysis, Geomatics Natural Hazard and Risk, Volume 8, Iss. 2, pp. 1812-1832. DOI:10.1080/19475705.2017.1388854
  4. Albano, R., Mancusi, L. and Abbate, A. (2017). Improving Flood Risk Analysis for effectively supporting the implementation of flood risk management plans: the case study of “Serio” Valley,  Environmental Science and Policy, Volume 75, pp. 158-172. DOI:10.1016/j.envsci.2017.05.017
  6. Albano, R., Craciun, I., Mancusi, L., Sole, A., Ozunu, A. (2017). Flood damage assessment and uncertainity analysis: the case study of 2006 flood in Ilisua Basin in Romania, Carpathian Journal of Earth and Environmental Sciences Volume 12, Number 2
  8. Albano, R., Manfreda, S., Celano, C. (2017). MY SIRR: Minimalist agro-hYdrological model for Sustainable Irrigation management – soil moisture and crop dynamics, 2017. Software X, Volume 6, Pages 107–117. DOI:10.1016/j.softx.2017.04.005
  10. Cioffi, F., Conticello, F. R., Lall, U., Marotta, L., Telesca V. (2017). Large scale climate and rainfall seasonality in a Mediterranean Area: Insights from a non-homogeneous Markov model applied to the Agro-Pontino plain. Hydrological Processes, vol. 31, p. 668- 686, ISSN: 1099-1085, https://doi.org/10.1002/hyp.11061.
  12. De Vincenzo, A., Jacopo Molino, A., Molino, B., Scorpio, V. (2017). Reservoir rehabilitation: The new methodological approach of Economic Environmental Defence. International Journal of Sediment Research 32(2), pp. 288–294, https://doi.org/ 10.1016/j.ijsrc.2016.05.007.
  14. Elferchichi, A., Giorgio, G. A., Lamaddalena, N., Ragosta, M., Telesca, V. (2017). Variability of temperature and its impact on reference evapotranspiration: The test case of the Apulia Region (Southern Italy). Sustainability, vol. 9, p. 2337-2351, ISSN: 2071-1050, doi: 10.3390/su9122337.
  16. Giorgio, G. A., Ragosta, M., Telesca, V. (2017). Climate variability and suburban-rural heat environment in a Mediterranean area. Sustainability, vol. 9, p. 775-785, ISSN: 2071-1050, https://doi.org/10.3390/su9050775.
  18. Giorgio, G. A., Ragosta, M., Telesca, V. (2017). Application of a multivariate statistical index on series of weather measurements at local scale. Measurement, vol. 112, p. 61-66, ISSN: 0263-2241, https://doi.org/10.1016/j.measurement.2017.08.005.
  20. Greco, M., Martino, G., Guariglia, A., Trivigno, L., Losurdo, A., Sansanelli, V. (2017). Development of an Integrated SDSS for Coastal Risks Monitoring and Assessment. J Coastal Zone Management 20: 446. doi: 10.4172/2473-3350.1000446
  22. Greco, M., Martino, G., Gravino, S., Anatrone, A. (2017). Analisi degli indicatori di alterazione idrologica nella valutazione preliminare del flusso ecologico per i fiumi della Basilicata, L’Acqua, vol. 1, pp. 89-98 ISSN 1125-1255.
  24. Inam, A, Adamowski, J.,  Prasher, S., Albano, R. (2017). Parameter estimation and uncertainty analysis of Spatial Agro Hydro Salinity Model (SAHYSMOD) in semi-arid climate of Rechna Doab, Pakistan, Environmental Modelling & Software, Pages 186–211. DOI:10.1016/j.envsoft.2017.04.002
  26. Inam, A,  Adamowski, Prasher, O., Halbe, J., Malard, J.,  Albano, R. (2017). Coupling of a Distributed Stakeholder-Built System Dynamics Socio-Economic Model with SAHYSMOD for Sustainable Soil Salinity Management. Part 1: Model Development, Journal of Hydrology, Volume 551  pp. 596-618. DOI:10.1016/j.jhydrol.2017.03.039
  28. Inam, A,  Adamowski, Prasher, O., Halbe, J., Malard, J.,  Albano, R. (2017). Coupling of a Distributed Stakeholder-Built System Dynamics Socio-Economic Model with SAHYSMOD for Sustainable Soil Salinity Management. Part 2: Model Coupling and Application, Journal of Hydrology, Volume 551, pp. 278-299. DOI:10.1016/j.jhydrol.2017.03.040
  30. Lay Ekuakille, A., Telesca, V., Ragosta, M., Giorgio, G. A., Mvemba, P. Kapita, Kidiamboko, S. (2017). Supervised and Characterized Smart Monitoring Network for Sensing Environmental Quantities. IEEE Sensors Journal, vol. 17, p. 7812-7819, ISSN: 1530-437X, https://doi.org/10.1109/JSEN.2017.2727962.
  2. Mirauda, D., Erra, U., Agatiello, R., Cerverizzo, M. (2017). Applications of mobile augmented reality to water resources management. Water, 9, 699, https://doi.org/10.3390/w9090699;
  4. Oliveto, G., Marino, M.C. (2017). Temporal scour evolution at non-uniform bridge piers. Water Management ICE, Vol.170 (5), 254-261, DOI:10.1680/jwama.16.00005. [Paper awarded by the Council of the Institution of Civil Engineers (ICE) - London (UK): ICE Publishing Awards 2018 - Robert Alfred Carr Prize].
  6. Pannone, M. (2017). An Analytical Model of Fickian and Non-Fickian Dispersion in Evolving-Scale Log-Conductivity Distributions, Water, 9(10), 751, https://doi.org/10.3390/w9100751.
  8. Samela, C., Manfreda, S., De Paola, F., Giugni, M., Sole, A., Fiorentino, M., (2017). DEM-Based Approaches for the Delineation of Flood-Prone Areas in an Ungauged Basin in Africa, J. Hydro. Eng., 21(2) ASCE. DOI:10.1061/(ASCE)HE.1943-5584.0001272

- Capitoli di libri

  2. Greco, M. (2019). Informational Entropy Approach for Rating Curve Assessment in Rough and Smooth Irrigation Ditch, in book: Irrigation in Agroecosystems, Gabrijel Ondrašek, IntechOpen, DOI: 10.5772/intechopen.78975.

-  Atti di Convegno

  2. Cioffi, F., Rosario Conticello, F., Lall, U., Telesca, V. (2018). Novel stacking models for improved extreme rainfall predictions under climate change scenarios. EGU General Assembly Conference (p. 15469).
  4. Cioffi, F., Castronuovo, G., Conticello, F. R., Giannini, M., Telesca V. (2021). Development of combined statistical downscaling and machine learning models for the estimation of precipitation extremes. 8th International Meeting on Meteorology and Climatology of the Mediterranean (online, 25-27 May 2021).
  6. Arbia, F., Di Giuseppe, L., Giampietro, R., Greco, M., Mauro, P., Martino, G., Montella, A., Mussuto, G., Napoli, E., Smaldone, A. (2019). Assessment of the ecological potential of heavily modified water bodies in the Basilicata region, Italy: case study of the Agri river basin, WIT Transactions on Ecology and the Environment, Volume 234, Issue 2019, 2019, Pages 131-141.
  2. Capece, N., Erra, U., Mirauda, D. (2019). StreamFlowVR: A Tool for Learning Methodologies and Measurement Instruments for River Flow Through Virtual Reality. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Artificial Intelligence, vol. 11614, p. 456-471, Springer Verlag, ISBN: 978-3-030-25998-3, ISSN: 0302-9743, ita, 2019, https://doi.org/10.1007/978-3-030-25999-0_37
  4. Corrado, S., Giannini, B., Santopietro, L., Oliveto, G., Scorza, F. (2020). Water management and municipal climate adaptation plans: a preliminary assessment for flood risks management at urban scale, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 20th International Conference on Computational Sciences and Its Applications, ICCSA 2020, Cagliari, 1 July 2020 through 4 July 2020, Vol. 12255, pp. 184-192, ISBN 978-303058819-9, doi: 10.1007/978-3-030-58820-5_14.
  6. Greco, M., Martino, G., Guariglia, A., Trivigno, L., Sansanelli, V., Losurdo, A., Mussuto, G. (2018) Integrated SDSS for Environmental Risk Analysis in Sustainable Coastal Area Planning. In: Gervasi O. et al. (eds) Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science, vol 10964. Springer, Cham, doi:.1007/978-3-319-95174-4_51.
  8. Greco, M., Martino, G., Guariglia, A., Trivigno, L., Losurdo, A., Sansanelli, V. (2017). Sviluppo di un DSS integrato per il monitoraggio e la valutazione dei rischi costieri, Convegno Nazionale GNRAC 2016 “La gestione delle spiagge: processi costieri e sostenibilità turistica”, Studi Costieri 2017-26 – pag. 147-160.
  10. Greco, M., Martino, G., Santoro, C., Gravino, S., Corbau, C., Simeoni, U. (2017). Piano Regionale per la Gestione delle Coste della Basilicata: Analisi delle criticità costiere, Convegno Nazionale GNRAC 2016 “La gestione delle spiagge: processi costieri e sostenibilità turistica”, Studi Costieri 2017-26 – pag. 35-48.
  12. Greco, M., Ungaro, N., Caricato, G., Martino, G., Di Giuseppe, L., Gimbatti, G., Mauro, P., Montella, A., Mussuto, G., Salera, M. E., Faraone, D., Di Grazia, C., De Luise, P. (2020). Methodological approach for the delimitation of “no bathing areas” in marine coastal zones close to the outlets of natural and artificial water courses in Basilicata region – Italy, WIT Transactions on Ecology and the Environment, vol. 242, 97-107, doi: 10.2495/WP200091.
  14. Mirauda, D., Ostoich, M., Di Maria, F., Benacchio, S., Saccardo, I. (2018). Integrity Model Application: A Quality Support System for Decision-makers on Water Quality Assessment and Improvement. In: IOP Conference Series: Earth and Environmental Science. vol. 120, Institute of Physics Publishing, sgp, 2017, https://doi.org/10.1088/1755-1315/120/1/012006.
  16. Mirauda, D., Negri, M., Martinelli, L., Malavasi, S. (2018). Influence of boundary conditions on the hydrodynamic forces of an oscillating sphere. In: EPJ Web of Conferences, 12th International Conference on Experimental Fluid Mechanics, EFM 2017. vol. 180, p. 1-12, Dancova P., Mikulov; Czech Republic, 21 November - 24 November 2017, https://doi.org/10.1051/epjconf/201818002067.
  18. Notarangelo, N.M, Hirano, K., Sole, A., Albano, R., (2020). Rilevamento delle precipitazioni piovose in immagini singole con reti neurali convoluzionali – Rainfall detection in single images through convolutional neural networks, ICIRBM 2020, Volume 41, Tecniche per la difesa del suolo e dall’inquinamento, Technologies for integrate driver basin management, EdiBios, Cosenza (CZ), ISSN 2282-5517, ISBN: 978-88-97181-75-0.
  20. Oliveto G. (2019). Sediment transport at river contractions, WIT Transactions on Ecology and the Environment, Vol. 234, pp. 1-7, ISSN 1743-3541 (on-line), doi: 10.2495/RBM190011.
  22. Oliveto G. (2017). The temporal scour progress downstream of low-head stilling basins under unsteady flow, WIT Transactions on Ecology and the Environment, Vol. 221, pp. 51-57, ISSN 1746-448X (on-line), doi: 10.2495/RBM170061.
  24. Savalli, S., Saganeiti, L., Greco, M., Murgante, B. (2019). Integrated Assessment of the Anthropic Pressure Level on Natural Water Bodies: The Case Study of the Noce River (Basilicata, Italy). In: Misra S. et al. (eds) Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science, vol 11624. Springer, Cham
  26. Sole, A., Ermini, R., Notarangelo, N.M., Mancusi, L., Albano, R. (2021). Lettura idromorfica delle trasformazioni operate nei bacini urbani e valutazione della risposta idrologica: il caso studio di Matera. ICIRBM 2021, Volume 42, Tecniche per la difesa del suolo e dall’inquinamento, Technologies for integrate driver basin management, EdiBios, Cosenza (CZ).
  28. Sole, A., Cantisani, A., Mancusi, L., Ermini, R., Albano, R. (2020). La stima della pericolosità idraulica per eventi pluviometrici estremi in aree urbane: Il Ruolo della Modellazione Idrodinamica, IDRA2020, XXXVII Convegno Nazionale di Idraulica e Costruzioni Idrauliche, Reggio Calabria, 7-9 Settembre 2020.
  30. Sole, A., Ermini, R., Albano, R., Mancusi, L. (2019). Matera, analisi di resilienza urbana, VII PROARCH Forum, 21-23 Novembre, Napoli.
  32. Sole, A.  Albano, R., Samela, C., Craciun, I., Perrone, A., Manfreda, S.  Ozunu, A. (2019). Mappatura del danno alluvionale a vasta scala: un’applicazione in Romania / Large scale flood risk mapping: an application over Romania. In: Tecnologies for Integrated River Basin Management - ICIRBM Proceeding of Italian Conference on Integrated River Basin Management - Tecniche per la Difesa del Suolo e dall'Inquinamento. vol. 40, p. 77-90, Cosenza:EDIBIOS, ISBN: 978-88-97181-71-2.
  34. Sole, A., Scarpino, S., Albano, R., Cantisani, A., Mancusi, L., (2018). Utilizzo di dati Cosmo-SkyMed per supportare la modellazione idrodinamica nel monitoraggio di eventi di inondazione : il caso studio del fiume Bradano, Tecniche per la difesa dall’inquinamento, Edibios.
  36. Sole, A., Albano, R., Perrone, A., Mancusi, L., Cantisani, A., De Santo, A., Taramasso, A.C., (2017). Analisi dell’incertezza nella catena di modellazione del danno da alluvione: il caso di studio di Albenga. In: Tecniche per la difesa dall’inquinamento, Edibios.
  38. Sole, A., Albano, R., Mancusi, L., Presta, A., (2016). Realizzazione di software GIS Open-source per la Gestione e la Comunicazione del Rischio. In: Tecniche per la difesa dall’inquinamento, Edibios, p. 23-39,. ISBN: 978-88-97181477.
  40. Telesca, V., Castronuovo, G., Favia, G., Marranchelli, C., Nigro, P. (2021). Development of an integrated system to analyse interactions between climatic factors and the risk of potential exposure to Covid-19. 8th International Meeting on Meteorology and Climatology of the Mediterranean (online, 25-27 May 2021).
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