contributor author | Omar M. Nofal | |
contributor author | John W. van de Lindt | |
date accessioned | 2022-01-30T21:18:52Z | |
date available | 2022-01-30T21:18:52Z | |
date issued | 6/1/2020 12:00:00 AM | |
identifier other | AJRUA6.0001060.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4267986 | |
description abstract | Flood events are one of the most common natural disasters in the United States and can disrupt businesses; strain the financial resources of agencies that respond; and often leave households dislocated for days, months, or permanently. Community resilience planning requires an assessment of the damage and loss caused by a hazard followed by recovery modeling, which couples the socioeconomics with the physical-infrastructure recovery process. This paper focuses on the first part of that analysis chain, namely damage and loss modeling to riverine flooding at the community level, with a case study of Lumberton, North Carolina, using empirical damage fragilities. The process includes the major components toward flood-loss quantification. The losses in the case study are computed from the damage fragilities and compared with the deterministic flood loss analysis in HAZUS-MH, which uses stage-damage functions. For the case study presented in this paper, the fragility-based approach resulted in slightly higher loss estimates. The fragility-based approach presented as part of this study can provide a mechanism to propagate uncertainty in damage and loss estimates. This ability to propagate such uncertainty into the analysis would allow for risk-informed decision making for floods using a similar approach to what is currently done for earthquake and wind community-level loss analyses. | |
publisher | ASCE | |
title | Probabilistic Flood Loss Assessment at the Community Scale: Case Study of 2016 Flooding in Lumberton, North Carolina | |
type | Journal Paper | |
journal volume | 6 | |
journal issue | 2 | |
journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
identifier doi | 10.1061/AJRUA6.0001060 | |
page | 15 | |
tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2020:;Volume ( 006 ):;issue: 002 | |
contenttype | Fulltext | |