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  4. Evaluating the cost of failure risk: A case study of the kang-wei-kou stream diversion project
 
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Evaluating the cost of failure risk: A case study of the kang-wei-kou stream diversion project

Journal
Water (Switzerland)
Journal Volume
13
Journal Issue
20
Date Issued
2021
Author(s)
Liang C.-Y
Wang Y.-H
You G.J.-Y
Chen P.-C
Lo E.
JIING-YUN YOU  
DOI
10.3390/w13202881
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119302671&doi=10.3390%2fw13202881&partnerID=40&md5=5242de23e0ed7cfcfbbdfd430a2f250f
https://scholars.lib.ntu.edu.tw/handle/123456789/598518
Abstract
For water resource engineering projects, some potential risks that are unclear and difficult to investigate are the most crucial problem for engineers. This study presents a unique case of unknown risks, the Kang-Wei-Kou (KWK) Diversion project, which collapsed due to an unexpected hydraulic jump resulting from uneven regional rainfall. We used HEC-RAS incorporating Monte Carlo simulations for analyzing the potential risks to the original design of the KWK Diversion, concerning boundary conditions. An extreme value type I distribution was selected as the form of probability density function (PDF) to upstream discharge, whereas a normal distribution was selected as the form of PDF to downstream water depth, as boundary conditions. Applying the Monte Carlo method, the analysis revealed that the probability of failure was 7.5%, which was non-negligible and should have been considered in the design plan. This case study indicates that overlooking downstream conditions can lead a major facility to fail, and a stochastic analysis could be a way to find out potential risks. We also applied the cost–benefit analysis to review whether the design plans were appropriately estimated with careful risk based consideration. ? 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Subjects
Cost– benefit analysis
Hydraulic failure
Monte Carlo simulations
Risk management
Stochastic analysis
Boundary conditions
Cost benefit analysis
Costs
Failure (mechanical)
Failure rate
Intelligent systems
Normal distribution
Probability density function
Risk assessment
Risk perception
Rivers
Safety engineering
Stochastic systems
Case-studies
Cost-benefits analysis
Design plans
Diversion project
Down-stream
Monte Carlo's simulation
Potential risks
Risks management
Monte Carlo methods
boundary condition
extreme event
Monte Carlo analysis
probability density function
project assessment
risk assessment
water resource
Type
journal article

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