A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Investigating Uncertainty in Developing Regional Building Inventories for Flood Damage Prediction
AbstractWith the ongoing development of the National Water Model at the National Water Center (NWC) in Tuscaloosa, Alabama, the hydrologic and hydraulic predictive capabilities of the USA are rapidly evolving. As this evolution continues, the National Water Model will make possible the ability to reconsider how researchers approach flood damage assessment. Flood damage wizard (FDW) is a new software application developed by the authors that quickly constructs a regional building inventory from cadastral information for use in rapid flood damage studies. Hazus-MH is a fixture in long-term planning studies, such as FEMA Flood Risk Reports. Each model relies on the accuracy of the building usage or occupancy assignment and the valuation of the replacement cost of the building. This article investigates how two different approaches to modeling flood damage demonstrate the uncertainty in classifying the usage and valuation of structures by comparing FDW to three Hazus-MH Level 2 analyses in central Alabama. The results show the need for better communication of these uncertainties to end users.
Investigating Uncertainty in Developing Regional Building Inventories for Flood Damage Prediction
AbstractWith the ongoing development of the National Water Model at the National Water Center (NWC) in Tuscaloosa, Alabama, the hydrologic and hydraulic predictive capabilities of the USA are rapidly evolving. As this evolution continues, the National Water Model will make possible the ability to reconsider how researchers approach flood damage assessment. Flood damage wizard (FDW) is a new software application developed by the authors that quickly constructs a regional building inventory from cadastral information for use in rapid flood damage studies. Hazus-MH is a fixture in long-term planning studies, such as FEMA Flood Risk Reports. Each model relies on the accuracy of the building usage or occupancy assignment and the valuation of the replacement cost of the building. This article investigates how two different approaches to modeling flood damage demonstrate the uncertainty in classifying the usage and valuation of structures by comparing FDW to three Hazus-MH Level 2 analyses in central Alabama. The results show the need for better communication of these uncertainties to end users.
Investigating Uncertainty in Developing Regional Building Inventories for Flood Damage Prediction
Gutenson, J. L (author) / Zhu, L / Sadeghi, S. T / Ernest, A. N. S / Zhang, X / Oubeidillah, A. A
2016
Article (Journal)
English
Investigating Uncertainty in Developing Regional Building Inventories for Flood Damage Prediction
| Online Contents | 2017
MANUSCRIPTS - Developing Regional Building Inventories: Lessons from the Field
| Online Contents | 2012