210
Views
10
CrossRef citations to date
0
Altmetric
Research Articles

A unified framework for the assessment of multiple source urban flash flood hazard: the case study of Monza, Italy

ORCID Icon, , , , , , , , , & show all
Pages 65-77 | Received 05 Dec 2019, Accepted 20 Feb 2020, Published online: 13 Mar 2020
 

ABSTRACT

This paper aims to analyze the flood hazard in the city of Monza, which periodically suffers from overflows from both the river Lambro and the urban drainage system during wet weather conditions. A unified Urban Flash Flood Model of Monza is therefore developed to capture both sources of hazard. The model is first validated by comparing the results of simulations with historical data related to the area of Monza, then is exploited to obtain maximum flood depth and velocity maps for three different return periods. Overall, the results show the different nature of the flood-related hazard and the sewer-related hazard: the former is concentrated across the rivers whereas the latter spreads patchy over the territory. Furthermore, the former features much larger water levels and flow velocities, which result in more serious hazard to citizens.

Acknowledgements

This work was carried out in the context of the NEWFRAME project, funded by Cariplo (reference number 2017-0724).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary material

Supplemental data for this article can be accessed here.

Additional information

Funding

This work was supported by the Fondazione Cariplo [2017-0724].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 239.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.