Preprints
https://doi.org/10.5194/egusphere-2022-225
https://doi.org/10.5194/egusphere-2022-225
 
27 Apr 2022
27 Apr 2022

Building-scale flood loss estimation through enhanced vulnerability pattern characterization: application to an urban flood in Milano, Italy

Andrea Taramelli1,2, Margherita Righini1, Emiliana Valentini3, Lorenzo Alfieri4, Ignacio Gatti1, and Simone Gabellani4 Andrea Taramelli et al.
  • 1Istituto Universitario di Studi Superiori di Pavia (IUSS), Pavia, 27100, Italy
  • 2Institute for Environmental Protection and Research (ISPRA), Roma, 00144, Italy
  • 3Institute of Polar Sciences of the Italian National Research Council (ISP CNR), Roma, 00015, Italy
  • 4CIMA Research Foundation, Savona, 17100, Italy

Abstract. The vulnerability of flood-prone areas is determined by the susceptibility of the exposed assets to the hazard. It is a crucial component in risk assessment studies, both for climate change adaptation and disaster risk reduction. In this study, we analyse patterns of vulnerability for the residential sector in a frequently hit urban area of Milano, Italy. The conceptual foundation for a quantitative assessment of the structural dimensions of vulnerability is based on the modified Source-Pathway-Receptor-Consequence model. This conceptual model is used to improve the parameterization of the flood risk analysis describing: (i) hazard scenarios definition performed by hydraulic modelling based on past event data (Source estimation) and morphological features and land use evaluation (Pathway estimation); (ii) the exposure and vulnerability assessment which consists of recognizing elements potentially at risk (Receptor estimation) and event losses (Consequence estimation). The structural dimension of vulnerability is mapped at building level and used in loss estimation for the residential sector at meso and micro-scale. Results produces accurate estimates of the flood characteristics, with mean error in flood depths estimation in the range 0.2–0.3 m and provide a basis to obtain site-specific damage curves and damage mapping. Findings show that the nature of flood pathways varies spatially and is influenced by landscape characteristics and alters vulnerability spatial distribution and hazard propagation. At the mesoscale, the ‘Continuous urban fabric’ Urban Atlas 2018 land-use class with the occurrence of at least 80 % of soil sealing shows higher absolute damage values. At microscale, evidence demonstrated that even events with moderate magnitude in terms of flood depth in a complex urbanized area may cause more damage than it would expect.

Andrea Taramelli et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-225', Anonymous Referee #1, 10 May 2022
    • AC1: 'Reply on RC1', Margherita Righini, 21 Jul 2022
  • RC2: 'Comment on egusphere-2022-225', Anonymous Referee #2, 02 Jun 2022
    • AC3: 'Reply on RC2', Margherita Righini, 21 Jul 2022
  • RC3: 'Comment on egusphere-2022-225', Anonymous Referee #3, 02 Jun 2022
    • AC2: 'Reply on RC3', Margherita Righini, 21 Jul 2022

Andrea Taramelli et al.

Andrea Taramelli et al.

Viewed

Total article views: 369 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
247 110 12 369 4 4
  • HTML: 247
  • PDF: 110
  • XML: 12
  • Total: 369
  • BibTeX: 4
  • EndNote: 4
Views and downloads (calculated since 27 Apr 2022)
Cumulative views and downloads (calculated since 27 Apr 2022)

Viewed (geographical distribution)

Total article views: 266 (including HTML, PDF, and XML) Thereof 266 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 28 Sep 2022
Download
Short summary
This work aims to support decision-making processes to prioritize effective interventions for flood risk reduction and mitigation for the implementation of flood risk management concepts in urban areas. Our findings provides new insight into vulnerability pattern of urban flood event for residential sector demonstrating that the nature of flood pathways varies spatially influenced by landscape characteristics, beside buildings features.