Silvia BARBETTA

Research personnel
Senior Researcher
+39 075 5014417
+39 075 5014420
silvia.barbetta (at) irpi.cnr.it
Via della Madonna Alta, 126 06128, Perugia
Perugia


hydrology

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

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.

The main research interests of Silvia Barbetta are the real time flood forecasting modeling and the forecast uncertainty assessment. In particular, the research activity deals with the development of forecasting models based on flood wave routing process to support in real time the flood risk management activities and with the assessment of the uncertainty to be coupled with the forecast quantity derived through different approaches.
Other research interests are related to:

- discharge assessment at ungauged river sites
- hydraulic risk assessment in flooding prone areas
- flood wave routing modelling
- hydrological and hydraulic modelling
- hydro-meteorological monitoring
- streamflow measurements
- water resources management
- bridges and levees vulnerability

Silvia Barbetta was born in Perugia, Italy, in 1974. She received the M.S. degree in Environmental Engineering with excellence from the University of Perugia, Italy, in 2001. Since 2001 she received a Scholarship and, successively, a Research Fellowship to carry research at the Research Institute of geo-Hydrological Protection (IRPI) of the National Research Council (CNR) of Perugia (Italy) under the project “Flood wave formation processes”. Since 2009 she is a Researcher at CNR-IRPI.
She serves as reviewer for different international journals and has been co-author of more than 60 papers (journal and conference proceedings) and more than 50 scientific reports on the above topics. She has held more than 20 presentations at conference and workshops and she participated to more than 30 seminars held by Italian and foreign professors. Moreover, she has actively participated in several research projects in the frame of Italian and European programs and in collaboration with Italian and international institutions.
She is member of the Italian Hydrological Society, the international Environmental Modelling and Software society (iEMSs) and the European Geophysical Union (EGU).
She has been co-director of 7 Master thesis and 4 PhD thesis.