FLOOD RISK ASSESSMENT: A REVIEW OF FLOOD DAMAGE ESTIMATION MODEL FOR MALAYSIA

Flood damage assessment is important in flood risk management for the assessment of flood vulnerability, development of flood risk map and flood management financial appraisal. In Malaysia, there is a lack of studies on flood damages estimation. In addition, the needed data for the assessment of flood damages is scarce. This review identified the approaches and problems in flood damage assessment. For Malaysia, the combination of four elements namely; flood characteristics (flood depth and flood duration), characteristic of exposed elements, value of exposed element and flood damage function curve are recommended. The scarcity of data for developing flood damage curve could partly be overcome by applying synthetic method to generate additional data from the existing flood damage data.

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Multivariate Flood Loss Estimation of the 2018 Bago Flood in Myanmar

Journal of Disaster Research ◽

10.20965/jdr.2020.p0300 ◽

2020 ◽

Vol 15 (3) ◽

pp. 300-311 ◽

Cited By ~ 1

Author(s):

Win Win Zin ◽

Akiyuki Kawasaki ◽

Georg Hörmann ◽

Ralph Allen Acierto ◽

Zin Mar Lar Tin San ◽

...

Keyword(s):

Water Depth ◽

Building Material ◽

Damage Assessment ◽

Flood Damage ◽

Loss Estimation ◽

Flood Hazards ◽

Estimation Model ◽

Flood Duration ◽

Flood Loss ◽

Flood Damage Assessment

Flood loss models are essential tools for assessing flood risk. Flood damage assessment provides decision makers with critical information to manage flood hazards. This paper presents a multivariable flood damage assessment based on data from residential building and content damage from the Bago flood event of July 2018. This study aims to identify the influences on building and content losses. We developed a regression-based flood loss estimation model, which incorporates factors such as water depth, flood duration, building material, building age, building condition, number of stories, and floor level. Regression approaches, such as stepwise and best subset regression, were used to create the flood damage model. The selection was based on Akaike’s information criterion (AIC). We found that water depth, flood duration, and building material were the most significant factors determining flood damage in the residential sector.

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Development of Multivariate Flood Damage Function for Flood Damage Assessment in Gunsan City, Korea

Korean Society of Hazard Mitigation ◽

10.9798/kosham.2017.17.2.247 ◽

2017 ◽

Vol 17 (2) ◽

pp. 247-258

Author(s):

Insang Yu ◽

◽

Imee V. Necesito ◽

Hayong Kim ◽

Tae Sung Cheong ◽

...

Keyword(s):

Damage Assessment ◽

Flood Damage ◽

Damage Function ◽

Flood Damage Assessment

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Development of Damage Function for Flood Damage Assessment on Single Family Housing

Korean Society of Hazard Mitigation ◽

10.9798/kosham.2017.17.6.421 ◽

2017 ◽

Vol 17 (6) ◽

pp. 421-431 ◽

Cited By ~ 2

Author(s):

Cheonkyu Choi ◽

◽

Kyungtak Kim ◽

Gilho Kim ◽

Hungsoo Kim ◽

...

Keyword(s):

Damage Assessment ◽

Flood Damage ◽

Damage Function ◽

Single Family ◽

Family Housing ◽

Flood Damage Assessment

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Review article "Assessment of economic flood damage"

Natural Hazards and Earth System Science ◽

10.5194/nhess-10-1697-2010 ◽

2010 ◽

Vol 10 (8) ◽

pp. 1697-1724 ◽

Cited By ~ 576

Author(s):

B. Merz ◽

H. Kreibich ◽

R. Schwarze ◽

A. Thieken

Keyword(s):

Data Collection ◽

Flood Risk ◽

Policy Development ◽

Damage Assessment ◽

Flood Control ◽

Natural Hazard ◽

Model Development ◽

Flood Damage ◽

Time Space ◽

Flood Damage Assessment

Abstract. Damage assessments of natural hazards supply crucial information to decision support and policy development in the fields of natural hazard management and adaptation planning to climate change. Specifically, the estimation of economic flood damage is gaining greater importance as flood risk management is becoming the dominant approach of flood control policies throughout Europe. This paper reviews the state-of-the-art and identifies research directions of economic flood damage assessment. Despite the fact that considerable research effort has been spent and progress has been made on damage data collection, data analysis and model development in recent years, there still seems to be a mismatch between the relevance of damage assessments and the quality of the available models and datasets. Often, simple approaches are used, mainly due to limitations in available data and knowledge on damage mechanisms. The results of damage assessments depend on many assumptions, e.g. the selection of spatial and temporal boundaries, and there are many pitfalls in economic evaluation, e.g. the choice between replacement costs or depreciated values. Much larger efforts are required for empirical and synthetic data collection and for providing consistent, reliable data to scientists and practitioners. A major shortcoming of damage modelling is that model validation is scarcely performed. Uncertainty analyses and thorough scrutiny of model inputs and assumptions should be mandatory for each damage model development and application, respectively. In our view, flood risk assessments are often not well balanced. Much more attention is given to the hazard assessment part, whereas damage assessment is treated as some kind of appendix within the risk analysis. Advances in flood damage assessment could trigger subsequent methodological improvements in other natural hazard areas with comparable time-space properties.

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A Three-Parameter S-Shaped Function of Flood Return Period and Damage

Advances in Meteorology ◽

10.1155/2016/6583906 ◽

2016 ◽

Vol 2016 ◽

pp. 1-11 ◽

Cited By ~ 2

Author(s):

Chaochao Li ◽

Xiaotao Cheng ◽

Na Li ◽

Zhongmin Liang ◽

Yanyan Wang ◽

...

Keyword(s):

Return Period ◽

Flood Risk ◽

Damage Assessment ◽

Socioeconomic Development ◽

Flood Control ◽

Flood Damage ◽

Strategy Development ◽

Flood Hazards ◽

Study Results ◽

Flood Damage Assessment

With growing flood risk due to increased urbanization, flood damage assessment and flood risk management must be reconsidered. To demonstrate and assess the new features and trends of flood risk in urbanized areas, a novel S-shaped function of return period and damage(R-D)is proposed. The function contains three parameters, which are defined as the maximum flood damageA, critical return periodRc, and integrated loss coefficientk. A basic framework for flood damage assessment was established to evaluate flood damage in the Taihu Basin under various scenarios. The simulation results were used to construct the floodR-Dfunctions. The study results show that the floodR-Dmodel based on the Gompertz function agrees well with the mutability of flood damage in the highly urbanized basin when the flood scale exceeds the defense capability. TheR-Dfunction can be utilized for timely and effective flood damage assessment and prediction. It can describe the impacts of socioeconomic development, urbanization degree, and flood control capability improvements well. The turning points of the function curve can be used as gradation criteria for rational strategy development associated with flood hazards.

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A segmentation and classification approach of IKONOS-2 imagery for land cover mapping to assist flood risk and flood damage assessment

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/s0303-2434(03)00003-5 ◽

2003 ◽

Vol 4 (3) ◽

pp. 217-229 ◽

Cited By ~ 184

Author(s):

C.J. van der Sande ◽

S.M. de Jong ◽

A.P.J. de Roo

Keyword(s):

Land Cover ◽

Flood Risk ◽

Damage Assessment ◽

Flood Damage ◽

Land Cover Mapping ◽

Classification Approach ◽

Flood Damage Assessment

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Flood damage and risk assessment for urban area in Malaysia

Hydrology Research ◽

10.2166/nh.2020.121 ◽

2020 ◽

Cited By ~ 1

Author(s):

Noor Suraya Romali ◽

Zulkifli Yusop

Keyword(s):

Risk Assessment ◽

Flood Risk ◽

Flood Hazard ◽

Flood Damage ◽

Damage Function ◽

Residential Areas ◽

Distribution Maps ◽

Inundation Maps ◽

Flood Depth ◽

Expected Annual Damage

Abstract In recent years, flood risk map has been widely accepted as a tool for flood mitigation. The risk of flooding is normally illustrated in terms of its hazard (flood inundation maps), while vulnerability emphasizes the consequences of flooding. In developing countries, published studies on flood vulnerability assessment are limited, especially on flood damage. This paper attempts to establish a flood damage and risk assessment framework for Segamat town in Johor, Malaysia. A combination of flood hazard (flood characteristics), exposure (value of exposed elements), and vulnerability (flood damage function curve) were used for estimating the flood damage. The flood depth and areal extent were obtained from flood modeling and mapping using HEC-HMS/RAS and Arc GIS, respectively. Expected annual damage (EAD) for residential areas (50,112 units) and commercial areas (9,318 premises) were RM12.59 million and RM2.96 million, respectively. The flood hazard map shows that Bandar Seberang area (46,184 properties) was the most affected by the 2011 flood. The flood damage map illustrates similar patterns, with Bandar Seberang suffering the highest damage. The damage distribution maps are useful for reducing future flood damage by identifying properties with high flood risk.

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