Qualitative Flood Risk assessment for the Western Province of Sri Lanka

Weerasinghe, Kumari M.; Gehrels, Hans; Arambepola, N. M. S. I.; Vajja, Hari Prasad; Herath, J.M.K.; Atapattu, K.B.

doi:10.1016/j.proeng.2018.01.065

Cited by 34 publications

(24 citation statements)

References 3 publications

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“…The literature review confirmed the need to include different hazard variables, as done by Kreibich et al (2009). Lately, research started to pay particular attention to damages from Damage functions pluvial flooding, which still appeared to be sparsely examined (Vanneuville et al, 2016;Weerasinghe et al, 2018;Lee and Kim, 2018;Melvin et al, 2017).…”

Section: Discussionmentioning

confidence: 88%

Damage functions for transport infrastructure

Habermann

Hedel

2018

IJDRBE

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Purpose Damage functions constitute an essential part of the modelling of critical infrastructure (CI) performance under the influence of climate events. This paper aims to compile and discuss publications comprising damage functions for transport assets. Design/methodology/approach The research included the collection of contemplable literature and the subsequent screening for damage functions and information on them. In conclusion, the derived damage curves and formulae were transferred to a unified design. Findings Damage functions for the transport sector are scarce in the literature. Although specific damage functions for particular transport assets exist, they mainly consider infrastructure or transport in general. Occasionally, damage curves for the same asset in different publications vary. Major research gaps persist in wildfire damage estimation. Research limitations/implications The study scope was restricted to the hazards of fluvial floods and wildfires. Despite all efforts, this study did not cover all existing literature on the topic. Originality/value This publication summarises the state of the art of research concerning transport asset damage functions, and hence contributes to the facilitation of prospective research on CI performance, resilience and vulnerability modelling.

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Section: Discussionmentioning

confidence: 88%

Damage functions for transport infrastructure

Habermann

Hedel

2018

IJDRBE

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“…In the study by Weerasinghe (Weerasinghe et. al., 2018), the exposure parameter was also assigned to the hazard and vulnerability parameter.…”

Section: West Province Of Sri Lankamentioning

confidence: 99%

Flood risk assessment and flood damage evaluation – The review of the case studies

Šugareková¹,

Zeleňáková²

2021

AHS

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This article presents a brief overview of selected flood risk and flood damage assessment studies. The assessment on the Luvuvhu River focused on risk assessment based on hazard and vulnerability parameters. To these parameters was added another parameter, the exposure parameter in the assessment in the study of Sri Lanka. Hazard, vulnerability and exposure assessment were also performed on the Yangtze River in China, where the authors presented a proposal for a multi-index flood risk assessment concept. The output of these studies are flood risk maps for each indicator, as well as individual risk assessments in the given area. The next section is focused on the flood damage evaluation. The main tool for calculating flood damage in a study conducted in Beijing is flood risk. The calculation process focuses on the Integrated Flood Management (IFRM) method, which consists of risk identification, damage assessment and flood management to design flood protection measures. In flood management, the term vulnerability often occurs, which is a weakness or shortcoming that allows the hazard to be applied. Closely related to this concept is the sensitivity parameter, which can be used to estimate flood damage in the next case study in affected area in Netherland. The last of selected studies presents the application of the RESTful Application Program Interface (API) for the financial estimation of building damage. The API web service allows you to calculate flood damage to buildings without determining the flood risk.

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“…Alfa [10] developed a flood risk assessment system of Ofu River catchment in Nigeria, including elevation, slope, proximity, and soil type. Weerasinghe [11] put forward the risk assessment system of rainstorm for the Western Province of Sri Lanka. In the system, they adopted a statistical expression of hazard, exposure, and vulnerability to assess the combined flood risk levels.…”

Section: Introductionmentioning

confidence: 99%

Using Multiple Index Comprehensive Method to Assess Urban Rainstorm Disaster Risk in Jiangsu Province, China

Chen

Zhou

2020

Mathematical Problems in Engineering

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An integrated index system for urban rainstorm risk evaluation has been developed. Meanwhile, an information diffusion method (IDM) and variable fuzzy sets (VFSs) were employed to evaluate the dangerousness, sensitivity, and vulnerability risk of urban rainstorm disasters, respectively. Then, the comprehensive risk zoning map was drawn. Finally, Jiangsu Province has been taken as a case study area. Due to heavy rainfall in short-term and low rainstorm resistance ability, Wuxi, Changzhou, Nanjing, and Suzhou have higher dangerousness while Wuxi, Changzhou, and Nanjing have higher sensitivity. And because of potential losses in urban rainstorm disaster, Wuxi and Suzhou have higher vulnerability than other cities. The comprehensive risk zoning map showed that most cities of Jiangsu Province are at the moderate risk level, and the northwestern cities have lower risk level than the southern cities. The results are consistent with the actual situation of Jiangsu Province, and the study can provide some decision-making references for the urban rainstorm management.

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Qualitative Flood Risk assessment for the Western Province of Sri Lanka

Cited by 34 publications

References 3 publications

Damage functions for transport infrastructure

Damage functions for transport infrastructure

Flood risk assessment and flood damage evaluation – The review of the case studies

Using Multiple Index Comprehensive Method to Assess Urban Rainstorm Disaster Risk in Jiangsu Province, China

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