Study on Flood Control Safety Evaluation Based on Composite Risk Model

Lan, Yingying; Gui, Faliang; Luo, Dongnan; Zou, Youqin; Bai, Hua

doi:10.5194/nhess-2019-236

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…In Quebec, the Monte Carlo simulation technique combined with information on vulnerability-related aspects was developed to estimate the annual average cost of damage to the built environment by floods. A case study conducted in the North Johnstone River in Australia has highlighted the flexibility of the Monte Carlo simulation approach while combining it with hydraulic models (Agili et al , 2016; Charalambous et al , 2013; Lan et al , 2019).…”

Section: Flood Risk Assessment In the Built Environmentmentioning

confidence: 99%

Development of flood vulnerability curves for Sri Lankan hospitals

Koneswaran

Siriwardana

Jayasekara

2022

IJDRBE

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Purpose The government-led public healthcare services in Sri Lanka became a major strength in managing the COVID-19 comparatively well. However, natural hazards are a major threat to this healthcare system, as they cause severe damages, especially to curative healthcare infrastructures such as hospitals. Floods have been the major contributor to the economic loss of the Sri Lankan healthcare system. Therefore, the purpose of this study is to develop a proper flood risk assessment framework for Sri Lankan hospitals. Design/methodology/approach This research study has attempted to develop a flood vulnerability assessment tool for hospitals using the concept of Depth Damage Functions (DDFs). Flood vulnerability curves have been developed for identified critical units of hospitals considering the damage caused to building contents which are predominantly expensive medical equipment. The damage caused only by wetting was considered in generating vulnerability curves. Structured interviews were conducted with government officials in the healthcare sector to gather details on the cost and damages of medical equipment. Pilot studies were carried out in two hospitals identified as located in flood-prone areas and have previous experiences of flooding, to acquire data regarding building contents of the critical units. Findings The developed vulnerability curves indicate that no major damage would occur to building contents in critical units (other than the labor room) until the inundation depth reaches a value of 0.6–0.9 m (varies for each type of unit). It is also noteworthy that after a certain range in the inundation depth, the damage increases drastically, and building contents would incur total damage if the inundation depth passes a value of 1.2–1.5 m. Originality/value This study explains the initial phase of developing a flood vulnerability assessment framework for Sri Lankan hospitals. Not many studies had been carried out to assess the vulnerability of hospitals specifically for floods using vulnerability curves. The study recommends a zoning system with pre-defined vulnerability levels for critical units during a flood, which can be associated with evacuation planning as well. Further studies must be carried out to verify this system for hospitals in Sri Lanka.

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Section: Flood Risk Assessment In the Built Environmentmentioning

confidence: 99%

Development of flood vulnerability curves for Sri Lankan hospitals

Koneswaran

Siriwardana

Jayasekara

2022

IJDRBE

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“…Namazian et al [57] used it for assessing completion time of projects under risk. Lan et al [58] presented an integrated probabilistic framework that combines Monte Carlo simulation and a flood control risk model. Aronica et al [59] performed the probabilistic evaluation of flood hazard in urban areas using Monte Carlo simulation.…”

Section: Application Of Reliability Analysis For Risk Ranking In the mentioning

confidence: 99%

Application of Reliability Analysis for Risk Ranking in a Levee Reconstruction Project

et al. 2020

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Levees are embankments designed for passive flood protection. In order to reduce the potential of climate-induced flooding risks, it is necessary to reconstruct or upgrade the existing levees. Flood risk management aims to reduce the probability of floods and their potential adverse effects on the population, economy, and environment. This paper presents the novel application of reliability analysis for risk ranking in the Otok Virje-Brezje levee reconstruction project in the Republic of Croatia. To identify, verify and analyse key risks, a group of 35 experts, who were directly involved in the levee reconstruction project or have extensive experience in similar projects, was selected. An Analytic network process (ANP) was used for group multi criteria decision-making. Quantitative and qualitative approaches to risk analysis were combined. Different experts from the various organisations may have diverse interests and goals. The geometric mean method was chosen to reach group consensus. The resources that will be allocated to the risk responses are proportional to the risk exposures. To analyse the reliability of the group consensus-reaching method a determination of the risk ranking probability matrix is proposed by using the Monte Carlo simulation method. Different decision-making approaches are proposed for cases in which consensus is not reached with satisfactory reliability.

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Study on Flood Control Safety Evaluation Based on Composite Risk Model

Cited by 2 publications

References 5 publications

Development of flood vulnerability curves for Sri Lankan hospitals

Development of flood vulnerability curves for Sri Lankan hospitals

Application of Reliability Analysis for Risk Ranking in a Levee Reconstruction Project

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