Analysis of post-event damage data for supporting risk-modelling process

G. Minucci, M. T. Mendoza, F. Atun, S. Menoni, F. Ballio, D. Molinari, T. Simonelli

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Post-event damage and needs assessment can supply relevant information to feed risk models. Yet, data collected in the aftermath of disasters are usually not suitable for this aim as damage explicative variables (i.e. hazard, exposure, etc.) are missing or are unsuitable referring to different spatial or temporal scales than those used by damage models. Within this context, the present paper proposes a framework to support the development of multi-purposes ex-post scenarios. The paper emphasis how the model allows the rationalization of efforts currently implemented in ex-post damage assessments. Furthermore, it highlights how shared procedure and integrated interpretations are relevant to both obtain improved damage data to feed risk models and more complete picture of a disastrous event.

Original languageEnglish
Title of host publicationRiver Flow - Proceedings of the International Conference on Fluvial Hydraulics, RIVER FLOW 2016
EditorsDan Hanes, Marcelo Garcia, George Constantinescu
PublisherCRC Press/Balkema
Pages1951-1957
Number of pages7
ISBN (Print)9781138029132
Publication statusPublished - 1 Jan 2016
Event8th International Conference on Fluvial Hydraulics, RIVER FLOW 2016 - Saint Louis University, St. Louis, United States
Duration: 12 Jul 201615 Jul 2016
Conference number: 8
https://www.iihr.uiowa.edu/riverflow2016/

Publication series

NameRiver Flow - Proceedings of the International Conference on Fluvial Hydraulics, RIVER FLOW 2016

Conference

Conference8th International Conference on Fluvial Hydraulics, RIVER FLOW 2016
Abbreviated titleRiver Flow 2016
CountryUnited States
CitySt. Louis
Period12/07/1615/07/16
Internet address

Keywords

  • Ex-post damage assessment
  • Flood damage
  • Risk-modelling process

Fingerprint Dive into the research topics of 'Analysis of post-event damage data for supporting risk-modelling process'. Together they form a unique fingerprint.

  • Cite this

    Minucci, G., Mendoza, M. T., Atun, F., Menoni, S., Ballio, F., Molinari, D., & Simonelli, T. (2016). Analysis of post-event damage data for supporting risk-modelling process. In D. Hanes, M. Garcia, & G. Constantinescu (Eds.), River Flow - Proceedings of the International Conference on Fluvial Hydraulics, RIVER FLOW 2016 (pp. 1951-1957). (River Flow - Proceedings of the International Conference on Fluvial Hydraulics, RIVER FLOW 2016). CRC Press/Balkema.