Probabilistic Flood Loss Assessment at the Community Scale: Case Study of 2016 Flooding in Lumberton, North Carolina

Author(s):  
Omar M. Nofal ◽  
John W. van de Lindt
Water ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 126
Author(s):  
Youjie Jin ◽  
Jianyun Zhang ◽  
Na Liu ◽  
Chenxi Li ◽  
Guoqing Wang

Flash-flood disasters pose a serious threat to lives and property. To meet the increasing demand for refined and rapid assessment on flood loss, this study exploits geomatic technology to integrate multi-source heterogeneous data and put forward the comprehensive risk index (CRI) calculation with the fuzzy comprehensive evaluation (FCE). Based on mathematical correlations between CRIs and actual losses of flood disasters in Weifang City, the direct economic loss rate (DELR) model and the agricultural economic loss rate (AELR) model were developed. The case study shows that the CRI system can accurately reflect the risk level of a flash-flood disaster. Both models are capable of simulating disaster impacts. The results are generally consistent with actual impacts. The quantified economic losses generated from simulation are close to actual losses. The spatial resolution is up to 100 × 100 m. This study provides a loss assessment method with high temporal and spatial resolution, which can quickly assess the loss of rainstorm and flood disasters. The method proposed in this paper, coupled with a case study, provides a reliable reference to loss assessment on flash floods caused disasters and will be helpful to the existing literature.


2014 ◽  
Vol 13 (2) ◽  
pp. 471-486 ◽  
Author(s):  
Angelo Masi ◽  
Leonardo Chiauzzi ◽  
Carmelinda Samela ◽  
Luigi Tosco ◽  
Marco Vona

2015 ◽  
Vol 2015 (4) ◽  
pp. 1-8
Author(s):  
J.D Solomon ◽  
Kim Colson ◽  
Francine Durso
Keyword(s):  

2020 ◽  
Author(s):  
Jesse S. Hill ◽  
◽  
Kevin G. Stewart ◽  
Corey M. Scheip ◽  
Richard M. Wooten

2021 ◽  
Vol 284 ◽  
pp. 125305
Author(s):  
Xiajing Lin ◽  
Guohe Huang ◽  
Joseph M. Piwowar ◽  
Xiong Zhou ◽  
Yuanyuan Zhai

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