Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Sensitivity of flood loss estimates to building representation and flow depth attribution methods in micro-scale flood modelling
by
Bermúdez, María
, Zischg, Andreas Paul
in
Buildings
/ Computer applications
/ Computer simulation
/ Environmental risk
/ Estimates
/ Flood insurance
/ Flood predictions
/ Flood risk
/ Floods
/ Hazards
/ Methods
/ Modelling
/ Representations
/ Risk assessment
/ Scale (ratio)
/ Sensitivity analysis
/ Spatial analysis
/ Spatial discrimination
/ Two dimensional models
/ Vulnerability
2018
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Sensitivity of flood loss estimates to building representation and flow depth attribution methods in micro-scale flood modelling
by
Bermúdez, María
, Zischg, Andreas Paul
in
Buildings
/ Computer applications
/ Computer simulation
/ Environmental risk
/ Estimates
/ Flood insurance
/ Flood predictions
/ Flood risk
/ Floods
/ Hazards
/ Methods
/ Modelling
/ Representations
/ Risk assessment
/ Scale (ratio)
/ Sensitivity analysis
/ Spatial analysis
/ Spatial discrimination
/ Two dimensional models
/ Vulnerability
2018
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Sensitivity of flood loss estimates to building representation and flow depth attribution methods in micro-scale flood modelling
by
Bermúdez, María
, Zischg, Andreas Paul
in
Buildings
/ Computer applications
/ Computer simulation
/ Environmental risk
/ Estimates
/ Flood insurance
/ Flood predictions
/ Flood risk
/ Floods
/ Hazards
/ Methods
/ Modelling
/ Representations
/ Risk assessment
/ Scale (ratio)
/ Sensitivity analysis
/ Spatial analysis
/ Spatial discrimination
/ Two dimensional models
/ Vulnerability
2018
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Sensitivity of flood loss estimates to building representation and flow depth attribution methods in micro-scale flood modelling
Journal Article
Sensitivity of flood loss estimates to building representation and flow depth attribution methods in micro-scale flood modelling
2018
Request Book From Autostore
and Choose the Collection Method
Overview
Thanks to modelling advances and the increase in computational resources in recent years, it is now feasible to perform 2-D urban flood simulations at very high spatial resolutions and to conduct flood risk assessments at the scale of single buildings. In this study, we explore the sensitivity of flood loss estimates obtained in such micro-scale analyses to the spatial representation of the buildings in the 2D flood inundation model and to the hazard attribution methods in the flood loss model. The results show that building representation has a limited effect on the exposure values (i.e. the number of elements at risk), but can have a significant impact on the hazard values attributed to the buildings. On the other hand, the two methods for hazard attribution tested in this work result in remarkably different flood loss estimates. The sensitivity of the predicted flood losses to the attribution method is comparable to the one associated with the vulnerability curve. The findings highlight the need for incorporating these sources of uncertainty into micro-scale flood risk prediction methodologies.
This website uses cookies to ensure you get the best experience on our website.