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Maurizio Mazzoleni

PhD fellow

Biography

Maurizio Mazzoleni was born in Brescia in November 1986. Mr.Mazzoleni graduated from University of Brescia, in Brescia, Italy, in May 2011. During his university studies he continued to pursue his interest in the flood protection by moving to UNESCO-IHE with the support of a scholarship awarded by University of Brescia to carry out his Master Thesis. Afterwards, he cooperate for 1 year within the KULTURisk Project as research fellow of the University of Brescia. Currently, Mr. Mazzoleni is a PhD candidate at UNESCO-IHE Institute for Water Education under the Department of Integrated Water Systems and Governance, Delft, The Netherlands. His research interest include hydrologic and hydrodynamic modelling, in particular he dealt with issue related to flood forecasting, data assimilation, flood inundation mapping, flood risk and uncertainty analysis, flood defence systems design and reliability analysis, statistical hydrology.

Publications

Journals:

  • Mazzoleni M., Veerlan M., Alfonso L., Monego M., Norbiato D., Ferri M., and Solomatine D.P. (2015) "Can assimilation of crowdsourced streamflow observations in hydrological modelling improve flood prediction?", Hydrology and Earth System Sciences, under review
  • Mazzoleni M., Alfonso L. and Solomatine D.P. (2015) "Effect of spatial distribution and quality of sensors on the assimilation of distributed streamflow observations in hydrological modeling", Hydrological Sciences Journal, under review
  • Mazzoleni M., Dottori F., Brandimarte L., Tekle S. and Martina M. (2015) "Effects of levee cover quality on flood mapping in case of levee breach due to overtopping", Hydrological Sciences Journal, under review
  • Mazzoleni M., Alfonso L., Chacon-Hurtado J.C. and Solomatine D.P. (2015) "Assimilating uncertain, dynamic and intermittent streamflow observations in hydrological models", Advances in Water Resources, 83, 323-339,
  • Mazzoleni, M., Barontini, S., Ranzi, R., and Brandimarte, L. (2014). "Innovative Probabilistic Methodology for Evaluating the Reliability of Discrete Levee Reaches Owing to Piping" Journal of Hydrologic Engineering (ASCE), 20(5), 04014067.
  • Mazzoleni M., Bacchi B., Barontini S., Di Baldassarre G. and Ranzi R. (2014) "Flooding Hazard Mapping In Floodplain areas Affected by Piping Breaches in the Po River, Italy", Journal of Hydrologic Engineering (ASCE), 19, 717-731;

Conference proceedings:

  • Mazzoleni M., Chacon-Hurtado J, Alfonso Segura L. and Solomatine D.P. (2015) "Towards the assimilation of anarchist flow observations in hydrological models", IAHR World Congress 2015, At Den Haag, The Netherlands
  • Mazzoleni M., Barontini S., Ranzi R., and Brandimarte L. (2015) "Effect of availability of levee data in the estimation of the probability of levee failure in case of piping", IAHR World Congress 2015, At Den Haag, The Netherlands
  • Mazzoleni M., Alfonso Segura L. and Solomatine D.P. (2014) "Effect of different hydrological model structures on the assimilation of distributed uncertain observations of discharge", In proc of IWA International conference on Hydroinformatics: Informatics and the environment: Data and model integration in a heterogeneous Hydro World, New York, 2014.
  • Mazzoleni M., Alfonso Segura L. and Solomatine D.P. (2014) "Assimilation of heterogeneous uncertain data, having different observational errors, in hydrological models", In proc of IWA International conference on Hydroinformatics: Informatics and the environment: Data and model integration in a heterogeneous Hydro World, New York, 2014.
  • Mazzoleni M., Barontini S. and Ranzi R. (2012) "Reliability levee model to support flooding hazard assessment", Proc. XXXIII Conference of Hydraulics and Hydraulic Engineering, Brescia (Italy), 10-14 September 2012, Bacchi B., Ranzi R. and Tomirotti M. (editors), ISBN: 978-88-97181-18-7, Edibios, Cosenza (Italy), 10 pp;
  • Mazzoleni M., Barontini S., Di Baldassarre G. and Ranzi R. (2011) "Probabilistic flood hazard mapping induced by piping breaches: Application to the Po River, Italy", Conference Proceeding at Second European Conference on FLOODrisk Management, Rotterdam, The Netherlands, 2012;
  • Ranzi R., Barontini S., Mazzoleni M., Ferri M. and Bacchi B. (2012) "Levee breaches and “geotechnical uncertainty" in flood risk mapping", IAHR European Division Congress, Munich, 27-28 June 2012, Technische Universitat Munchen, 6 pp. (on USB Pen), 2012;

Conference abstracts:

  • Mazzoleni M., Alfonso L. and Solomatine D.P. (2014)  "Assimilation of soil moisture observations from remote sensing in operational flood forecasting", EGU 2014 conference, Geophysical Research Abstract.
  • Mazzoleni M., Alfonso L. and Solomatine D.P. (2014) "Data assimilation of soil moisture remote sensing data using different semi-distributed hydrological model structures", abstract accepted at the 6th International Conference of Flood Management (ICFM), Sao Paulo;
  • Mazzoleni M. Alfonso Segura L. Chacon-Hurtado J.C. and Solomatine D.P. (2013) "Reducing uncertainty in a hydrological semi-distributed model by means of assimilation of observations of discharge varying in time and space", EGU Leonardo conference, Kos.
  • Mazzoleni M., Alfonso Segura L., Chacon-Hurtado J.C. and Solomatine D.P. (2013) "Assimilation of uncertain data varying in time and space into hydrological model", EGU 2013 conference, Geophysical Research Abstract;
  • Ranzi R., Bacchi B., Barontini S., Ferri M. and Mazzoleni M. (2012) "Levee breaches statistics and “geotechnical uncertainty" in flood risk mapping. EGU Leonardo 2012, “Hydrology and Society", Torino;
  • Mazzoleni M., Barontini S. and Ranzi R. (2012) "A probabilistic levee breach model for evaluating different breach scenarios for flooding hazard mapping", UMH-Uncertainty Modelling in Hydraulics, Stresa;
  • Mazzoleni M., Bacchi B., Barontini S., Di Baldassarre G. and Ranzi R. (2011) "Uncertainty in flood hazard mapping for piping-induced levee breaches in the Po river" Geophysical Research Abstract Vol.13:10212, ISSN 1029-7006Vienna;

Topic

OPTIMAL INTEGRATION OF HETEROGENEOUS UNCERTAIN DATA INTO WATER MODELS

RESEARCH SUMMARY

In recent years the water-related risk is increasing worldwide and floods are one of the natural disasters which induces the maximum damages in terms of economic losses in Europe. The increasing data availability makes it possible to realize truly uncertainty aware adaptive modelling which can be used to handle important issue as flood forecasting. Current water modelling technologies typically do not take into account heterogeneous data sources.

The PhD research of Mr.Mazzoleni aims at developing new adaptive methodology, focusing on optimal water model design and updating in order to deal with heterogeneous data, as quantitative (deterministic, interval, probabilistic) and qualitative (non-numerical data) data, coming from static or dynamic sensors having varying life span, space-time coverage and uncertainty.

The methodologies will be tested and validated in three case studies in collaboration with relevant Water Authority Agencies in the UK (Doncaster), the Netherlands (Delft) and Italy (Alto Adriatico Water Authority). These case studies cover the entire hydrologic cycle with a major focus on variables responsible for flood and drought occurrences.

 

Funding Source: FP7 European Project “WeSenseIt” Citizen Water Observatories

Part of Project Part: FP7 European Project “WeSenseIt”

LINKS
   
WeSenseIt Project

KULTURisk Project