Compound flooding conditions present a significant challenge for civil engineers in their pursuit to design for and maintain the integrity of a structure’s entire life cycle. Coupled with non-stationary processes due to a changing climate and land use change, risk is a moving target. Through the support of ASCE’s Task Committee on Compound Flooding, the Hydroclimatology Engineering Adaptation (HYDEA) sub-committee is developing a Manual of Practice (MOP) to provide a synthesis of available tools and methods of best practice for civil engineers designing for compound flooding conditions. This paper presents a primer for practicing civil engineers on this work. Hydrodynamic process-based models such as rainfall-runoff, riverine, and coastal modeling, as well as statistical models including multivariate statistical models, will be addressed. In addition, the importance of linking statistical and process-based models and their various approaches is identified. The MOP also discusses addressing nonstationarity due to changing local and regional conditions and tools to assess risk and uncertainty.

Compound Flooding in a Non-Stationary World: A Primer for Practice

Salvadori G.;
2023-01-01

Abstract

Compound flooding conditions present a significant challenge for civil engineers in their pursuit to design for and maintain the integrity of a structure’s entire life cycle. Coupled with non-stationary processes due to a changing climate and land use change, risk is a moving target. Through the support of ASCE’s Task Committee on Compound Flooding, the Hydroclimatology Engineering Adaptation (HYDEA) sub-committee is developing a Manual of Practice (MOP) to provide a synthesis of available tools and methods of best practice for civil engineers designing for compound flooding conditions. This paper presents a primer for practicing civil engineers on this work. Hydrodynamic process-based models such as rainfall-runoff, riverine, and coastal modeling, as well as statistical models including multivariate statistical models, will be addressed. In addition, the importance of linking statistical and process-based models and their various approaches is identified. The MOP also discusses addressing nonstationarity due to changing local and regional conditions and tools to assess risk and uncertainty.
2023
978-0-7844-8516-3
File in questo prodotto:
File Dimensione Formato  
2023-ASCE-inspire-2023.pdf

non disponibili

Tipologia: Versione editoriale
Licenza: Copyright dell'editore
Dimensione 1.78 MB
Formato Adobe PDF
1.78 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/536006
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact