2023

• Bahmanpouri F., Termini D., Barbetta S., Dionigi M., Moramarco T. (2023), Investigating hydrodynamics and turbolent effects for different flow conditions using spatial complexity metrics (in preparation).
• Tarpanelli A., Bonaccorsi B., Sinagra M., Domeneghetti A., Brocca L., Barbetta S. (2023), Flooding in the Digital Twin Earth: the case study of the Enza river levee breach in December 2017 . Water – Special Issue ‘Remote Sensing for flood monitoring and risk assessment’ (under review).
• Barbetta S., Sahoo B., Bonaccorsi B., Nanda T., Chatterjee C., Moramarco T., Todini E. (2023), Addressing effective real-time forecasting inflows to dams through predictive uncertainty estimate. Journal of Hydrology (under review).
• Bahmanpouri F., Termini D., Barbetta S., Dionigi M., Moramarco T. (2023), Significance of hydraulic complexity parameters M1 and M2 based on laboratory and field data. Hydrology Research, Special Issue ‘Update: Innovations, Advances and Future Challenges’  (accepted for publication).

2022

• Brocca L., Massari C., Camici S., Tarpanelli A., Ciabatta L., Barbetta S., Dari J., Mosaffa H., Filippucci P., Modanesi S., Bonaccorsi B., Vreugdenhil M., Quast R., Alfieri L., Gabellani S., Rains D., Miralles D., Mantovani S., Briese C., Domeneghetti A., Jacob A., Volden E., Fernandez D., (2022), The role of Earth Observation in developing the Digital Twin Earth for the Water Cycle, Frontiers in Science (under review).
• J. Dari, L. Brocca, S. Modanesi, C. Massari, A. Tarpanelli, S. Barbetta, R. Quast, M. Vreugdenhil, V. Freeman, A. Barella-Ortiz, P. Quintana-Seguí, D. Bretreger, E. Volden (2022), Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space, Earth System Science Data ESSD (under discussion).
• Azimi S., Massari C., Formetta G., Barbetta S., Tazioli A., Fronzi D., Modanesi S., Tarpanelli A., Rigon R. (2022). Resolving the water budget of a complex carbonate basin in Central Italy with parsimonious modelling solutions. Hydrology and Earth System Sciences (under discussion). 
• Bahmanpouri, F., Eltner, A., Barbetta, S., Bertalan, L., & Moramarco, T. (2022). Estimating the average river cross-section velocity by observing only one surface velocity value and calibrating the entropic parameter. Water Resources Research, 58, e2021WR031821. https://doi.org/10.1029/2021WR031821
• Barbetta S., Bonaccorsi B., Tsitsifli S., Boljat I., Argiris P., Lukač Reberski J., Massari C., Romano E. (2022). Assessment of flooding impact on water supply systems: a comprehensive approach based on DSS. Water Resources Management, https://link.springer.com/content/pdf/10.1007/s11269-022-03306-x.pdf. 
• Bonaccorsi B., Moramarco T., Noto L. V., & Barbetta S. (2022). A multilayer soil approach for seepage process analysis in earthen levees. Journal of Flood Risk Management, e12801. https://doi.org/10.1111/jfr3.12801
• F. Bahmanpouri, S. Barbetta, C. Gualtieri, M. Ianniruberto, N. Filizola, D. Termini, T. Moramarco, Prediction of river discharges at confluences based on Entropy theory and surface-velocity measurements, Journal of Hydrology, 2022, 127404, ISSN 0022-1694, https://doi.org/10.1016/j.jhydrol.2021.127404.

2021

• Massari, C.; Modanesi, S.; Dari, J.; Gruber, A.; De Lannoy, G.J.M.; Girotto, M.; Quintana-Seguí, P.; Le Page, M.; Jarlan, L.; Zribi, M.; et al. A Review of Irrigation Information Retrievals from Space and Their Utility for Users. Remote Sens. 2021, 13, 4112. https://doi.org/10.3390/rs13204112.
• International Altimetry Team,  Altimetry for the future: building on 25  years of progress, Advances in Space Research, 68(2), 319-363, https://doi.org/10.1016/j.asr.2021.01.022.

2020

• Sinagra M., Nasello C., Tucciarelli T., Barbetta S., Massari C., Moramarco T. (2020) ‘A self-contained and automated method for flood hazard maps prediction in urban areas’, Water 2020, 12, 1266; doi:10.3390/w12051266,  https://www.mdpi.com/2073-4441/12/5/1266/htm.
• Manfreda S., Pizarro A., Moramarco T., Cimorelli L., Pianese D., Barbetta S. (2020) ‘Is it really advantageous the adoption of the flow-area rating curve?’, Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2020.124752. 
• Alimenti F., Bonafoni S., Gallo E., Palazzi V. Vincenti Gatti R., Mezzanotte P., Roselli L., Zito D., Barbetta S., Corradini C., Termini D., Moramarco T. (2020) ‘Non-contact measurement of river surface velocity and discharge estimation with a low-cost doppler radar sensor’, IEEE Transactions on Geoscience and Remote Sensing, 10.1109/TGRS.2020.2974185.
• Palladino M.R., Barbetta S., Camici S., Claps P., Moramarco T. (2020) ‘Impact of animal burrows on earthen levee body vulnerability to seepage’, J Flood Risk Management.2020;13 (Suppl. 1):e12559, https://doi.org/10.1111/jfr3.12559.

2019

• Sahoo B., Perumal M., Moramarco T., Barbetta S., Soumyaranjan (2019): A multilinear discrete Nash-cascade model for stage-hydrograph routing in compound river channels, Hydrological Sciences Journal, DOI: 10.1080/02626667.2019.1699243.
• Massari C., Maggioni V., Barbetta S., Brocca L., Ciabatta L., Camici S., Moramarco T., Coccia G., Todini E. (2019) ‘Complementing near-real time satellite rainfall products with satellite soil moisture-derived rainfall through a Bayesian Inversion approach’, J. of Hydrol., 573, 341-351, https://doi.org/10.1016/j.jhydrol.2019.03.038.
• Moramarco T., Barbetta S., Bjerklie D., Fulton J., Tarpanelli A. (2019) ‘Estimating River Bathymetry and Discharge using Remote sensing’, Water Resources Research, 55, 6692–6711. https://doi.org/10.1029/ 2018WR024220.

2018

• Tayfur G., Singh V.P., Moramarco T., Barbetta S. (2018) ‘Flood hydrograph prediction using machine learning methods’, Water, 10, 968; doi:10.3390/w10080968, http://www.mdpi.com/2073-4441/10/8/968/pdf.
• Barbetta S., Coccia G., Moramarco T., Todini E. (2018) ‘Real-time flood forecasting downstream river confluences using a Bayesian approach’, J. of Hydrol., 565, 516-523, https://doi.org/10.1016/j.jhydrol.2018.08.043.

2017

• Barbetta S., Moramarco T., Perumal M. (2017), ‘A Muskingum-based methodology for river discharge estimation and rating curve development under significant lateral inflow conditions’,  J. of Hydrol., 554, 216-232, http://dx.doi.org/10.1016/j.jhydrol.2017.09.022.
• Barbetta S., Coccia G., Moramarco T., Brocca L., and Todini E. (2017). Improving the effectiveness of real-time flood forecasting through Predictive Uncertainty estimation: the multi-temporal approach, J. of Hydrol., 51, 555-576, doi: https://doi.org/10.1016/j.jhydrol.2017.06.030. 
• Moramarco T., Barbetta S., A. Tarpanelli (2017), ‘From surface flow velocity measurements to discharge assessment by the entropy theory’, Water, 9(2), 120; doi:10.3390/w9020120.
• Spada E., Sinagra M., Tucciarelli T., Barbetta S., Moramarco T., Corato G. (2017). ‘Assessment of river flow with significant lateral inflow through reverse routing modeling’, Hydrological Processes, 31(7), 1539-1557; DOI: 10.1002/hyp.1112.
• Barbetta S., Camici S., Bertuccioli P., Palladino M.R., Moramarco T., (2017). ‘Refinement of seepage vulnerability assessment for different flood magnitude in National levee database of Italy’, Hydrology Research (Special Issue Hydrology Days), 48.3, 763-775; doi: 10.2166/nh.2017.101.OI: 10.2166/nh.2017.101.

 2016

• Barbetta S., Coccia G., Moramarco T., Todini E., (2016) ‘Case study: a real-time flood forecasting system with predictive uncertainty estimation for the Godavari River, India’, Water 2016, 8(10), 463; doi:3390/w8100463 (http://www.mdpi.com/2073-4441/8/10/463).

 2015

• Camici S., Barbetta S., Moramarco T. (2015), ‘Levee body vulnerability to seepage: the case study of the levee failure along the Foenna stream on 1 January 2006 (central Italy)’. Journal of Flood Risk Management, doi: 10.1111/jfr3.12137.
• Barbetta, S., Camici, S. and Moramarco, T. (2015), A reappraisal of bridge piers scour vulnerability: a case study in the Upper Tiber River basin (central Italy). Journal of Flood Risk Management. doi: 10.1111/jfr3.12130.
• Tarpanelli A., Brocca L., Barbetta S., Faruolo M., Lacava T., Moramarco T. (2015) Coupling MODIS and radar altimetry data for discharge estimation in poorly gauged river basin. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(1), 141-148. http://dx.doi.org/10.1109/JSTARS.2014.2320582.

 2014

• Sahoo, B., Perumal, M., Moramarco, T., and  Barbetta S. (2014). “Rating Curve Development at Ungauged River Sites using Variable Parameter Muskingum Discharge Routing Method.” Water Resources Management, 10.1007/s11269-014-0709-9, 3783-3800, Online publication date: 1-Sep-2014.
• Domeneghetti A., Tarpanelli A., Brocca L., Barbetta S., Moramarco T., Castellarin A., Brath A. (2014) The use of remote sensing-derived water surface data for hydraulic model calibration. Remote Sensing of Environment, 149, 130-141. http://dx.doi.org/10.1016/j.rse.2014.04.007.
• Barbetta, S., Moramarco, T., Brocca, L., Franchini, M. and Melone, F. (2014), Confidence interval of real-time forecast stages provided by the STAFOM-RCM model: the case study of the Tiber River (Italy). Hydrol. Process., Vol 28, Issue 3, 30 January 2014, pages 729-743, doi: 10.1002/hyp.9613.
• Alvisi S., Barbetta S., Franchini M., Melone F. and Moramarco T., “Comparing grey formulations of the velocity-area method and entropy method for discharge estimation with uncertainty”, Journal of Hydroinformatics, 16.4, 797-811, 2014.
• Massari C., Brocca L., Barbetta S., Papathanasiou C., Mimikou M., Moramarco T., “Using globally available soil moisture indicators for flood modelling in Mediterranean catchments’, Hydrol. Earth Syst. Sci., 18, 839-853, 2014, http://www.hydrol-earth-syst-sci.net/18/839/2014/, doi:10.5194/hess-18-839-2014.
• Barbetta S. and Moramarco T. (2014), ‘Real-time flood forecasting by relating local stage and remote discharge’, Hydrological Sciences Journal, Vol. 59, Iss. 9, 1656-1674. DOI:10.1080/02626667.2014.884717.
• Moramarco T., Barbetta S., Pandolfo C.,Tarpanelli A., Berni N. and R. Morbidelli (2014), ‘The spillway collapse of the Montedoglio dam on the Tiber River (central Italy): data collection and event analysis’, J. Hydrol. Eng., 19(6), 1264–1270.

2013

• Tarpanelli A., Barbetta S., Brocca L., Moramarco T. (2013) River discharge estimation by using altimetry data and simplified flood routing modeling. Remote Sensing, 5(9), 4145-4162. http://dx.doi.org/10.3390/rs5094145.

2012

• Barbetta, S., Franchini, M., Melone, F., and Moramarco, T. (2012). “Enhancement and comprehensive evaluation of the Rating Curve Model for different river sites.”, J. Hydrol., 464-465, 376-387 (http://dx.doi.org/10.1016/j.jhydrol.2012.07.027).

 2011

• Franchini, M., Bernini, A., Barbetta, S., and Moramarco, T. (2011). “Forecasting discharges at the downstream end of a river reach through two simple Muskingum based procedures.”, J. Hydrol., 399(3-4), 335-352.
• Barbetta, S., Moramarco, T., Franchini, M., Melone, F., Brocca, L., and Singh, V.P. (2011). “Case Study: Improving real-time stage forecasting Muskingum model by incorporating the Rating Curve Model.” J. Hydrol. Engng., HEENG-781R1, doi: 10.1061/(ASCE)HE.1943-5584.0000345.
• Perumal M., Moramarco T., Barbetta S., Melone F., Sahoo B. (2011), “Real-time flood stage forecasting by Parameter Muskingum Stage hydrograph routing method”, Hydrology Research, Vol. 42 No 2–3 pp 150–161 © IWA Publishing 2011 doi:10.2166/nh.2011.063.

2010

• Perumal M. Moramarco T., Sahoo B., Barbetta S. (2010), “On the practical applicability of the VPMS routing method for rating curve development at ungauged river sites”, Water Resources Research, Water Resour. Res., 46, W03522, doi:10.1029/2009WR008103, pp. 9.

 2009

• Perumal M., Sahoo B., Moramarco T., Barbetta S. (2009), “Multilinear Muskingum method for stage-hydrograph routing in compound channels”, Journal of Hydrologic Engineering, 14(7), 663-670.
• Tayfur G., Barbetta S. and Moramarco T. (2009), “Genetic Algorithm based discharges estimation at sites receiving lateral inflows”, Journal of Hydrologic Engineering 14(5), 463-474.

2007

• Perumal M. Moramarco T., Sahoo B., Barbetta S. (2007), “A methodology for discharge estimation and rating curve development at ungauged river sites”, Water Resour. Res., 43, W02412, doi:10.1029/2005WR004609, pp. 22.

 2006

• Moramarco T., Barbetta S., Melone F. & Singh V.P. (2006), “A real time stage Muskingum forecasting model for a site without rating curve”, Hydrological Science Journal, IAHS, 51(1), 66-82.

2005

• Moramarco T., Barbetta S., Melone F., Singh V.P. (2005), ” Relating local stage and remote discharge with significant lateral inflow”, Journal of Hydrologic Engineering 10(1), 58-69.

Attività di Ricerca
Silvia Barbetta svolge la propria attività presso l'Istituto di Ricerca per la Protezione Idrogeologica di Perugia. L’attività di ricerca ha come obiettivo principale lo studio dei processi di formazione e propagazione delle piene e riguarda principalmente le seguenti tematiche:

    Monitoraggio idrometeorologico ed analisi dei deflussi fluviali
    Studio dei processi idrologici di base nella formazione delle piene
    Studio del processo di trasferimento dell’onda lungo gli alvei fluviali naturali
    Stima della pericolosità idraulica in aree potenzialmente vulnerabili
    Studio e sviluppo di modelli operativi per il preannuncio in tempo reale
    Sicurezza idraulica-idrologica delle dighe e dei territori vallivi

Titoli di Studio
- Maturità Scientifica conseguita presso Liceo Scientifico Galeazzo Alessi di Perugia (60/60).
- Laurea nel 2001 in Ingegneria per l’Ambiente e il Territorio, indirizzo difesa del suolo, presso l’Università degli Studi di Perugia, con votazione 110/110 e Lode.
- Abilitazione alla professione di Ingegnere conseguita con votazione 111/120 nella 1° sessione del 2001.
- Borsista CNR presso l’Istituto di Ricerca per la Protezione Idrogeologica (CNR-IRPI) di Perugia nell’ambito della tematica “Processi idrologici di base nella formazione delle piene” (15/11/2001-14/11/2002).
- Titolare di un Assegno di Collaborazione e Attività di Ricerca nell’ambito del progetto di ricerca “Modelli operativi per il preannuncio delle piene e rischio di inondazione” svolto presso l’Istituto di Ricerca per la Protezione Idrogeologica (CNR-IRPI) di Perugia dal 1/12/2002 al 30/11/2008.

- Da Gennaio 2009 a dicembre 2022 Ricercatore presso l’Istituto di Ricerca per la Protezione Idrogeologica (CNR-IRPI) di Perugia.

- Da Gennaio 2023 riveste il ruolo di Primo Ricercatore.