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Article

A Bayesian Network-Based Integrated for Flood Risk Assessment (InFRA)

1
Department of Civil Engineering, Inha University, Incheon 22212, Korea
2
Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology, Ilsan 10223, Korea
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(13), 3733; https://0-doi-org.brum.beds.ac.uk/10.3390/su11133733
Received: 28 May 2019 / Revised: 26 June 2019 / Accepted: 2 July 2019 / Published: 9 July 2019
Floods are natural disasters that should be considered a top priority in disaster management, and various methods have been developed to evaluate the risks. However, each method has different results and may confuse decision-makers in disaster management. In this study, a flood risk assessment method is proposed to integrate various methods to overcome these problems. Using factor analysis and principal component analysis (PCA), the leading indicators that affect flood damage were selected and weighted using three methods: the analytic hierarchy process (AHP), constant sum scale (CSS), and entropy. However, each method has flaws due to inconsistent weights. Therefore, a Bayesian network was used to present the integrated weights that reflect the characteristics of each method. Moreover, a relationship is proposed between the elements and the indicators based on the weights called the Integrated Index for Flood Risk Assessment (InFRA). InFRA and other assessment methods were compared by receiver operating characteristics (ROC)-area under curve (AUC) analysis. As a result, InFRA showed better applicability since InFRA was 0.67 and other methods were less than 0.5. View Full-Text
Keywords: flood risk; Bayesian networks; integrated index for flood risk assessment flood risk; Bayesian networks; integrated index for flood risk assessment
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MDPI and ACS Style

Joo, H.; Choi, C.; Kim, J.; Kim, D.; Kim, S.; Kim, H.S. A Bayesian Network-Based Integrated for Flood Risk Assessment (InFRA). Sustainability 2019, 11, 3733. https://0-doi-org.brum.beds.ac.uk/10.3390/su11133733

AMA Style

Joo H, Choi C, Kim J, Kim D, Kim S, Kim HS. A Bayesian Network-Based Integrated for Flood Risk Assessment (InFRA). Sustainability. 2019; 11(13):3733. https://0-doi-org.brum.beds.ac.uk/10.3390/su11133733

Chicago/Turabian Style

Joo, Hongjun, Changhyun Choi, Jungwook Kim, Deokhwan Kim, Soojun Kim, and Hung S. Kim 2019. "A Bayesian Network-Based Integrated for Flood Risk Assessment (InFRA)" Sustainability 11, no. 13: 3733. https://0-doi-org.brum.beds.ac.uk/10.3390/su11133733

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