Development of flood damage assessment method for residential areas considering various house types for Bago Region of Myanmar

Shrestha, Badri Bhakta; Kawasaki, Akiyuki; Zin, Win Win

doi:10.1016/j.ijdrr.2021.102602

Cited by 26 publications

(23 citation statements)

References 43 publications

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“…Similarly, (Nurhaimi & Rahayu, 2014) explains that post-flood actions may include elevating homes and constructing a physical barrier. Similar research was conducted by (Brisibe, 2018) and (Shrestha, Kawasaki, & Zin, 2021), which concluded that the addition of basements to buildings, the use of stilt houses, and the raising of floors must be adapted to flooding. Due to flooding, one of the necessary adaptations is the use of floodresistant building materials (Garvin, 2017).…”

supporting

confidence: 53%

“…Infrastructure planning must also incorporate local government regulations into the design (Adeyeye, Codinhoto, & Emmitt, 2016). This modification is typically implemented after assessing flood damage (Shrestha, Kawasaki, & Zin, 2021). Most research on physical adaptation in residential houses in flood-prone areas focuses on structure and utility (Hidayati & Octavia, 2016), whereas research on space function and aesthetics is still limited.…”

mentioning

confidence: 99%

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Interior Modification of Residential Housing in Flood Prone Areas

Hidayati

Noviana

Rosyidi³

2023

IJDM

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For over two decades (1998, 2008, 2019), floods have occurred in Samarinda in various intensities and different areas. In Bengkuring, flooding has submerged houses for days since 2008. It happens for days with an average depth of 0.5-1 meter. Flooding can cause minor, moderate, and severe damage or destruction of homes, property, and community disorders. People whose homes are submerged by floods make some adaptations to mitigate. Some modifications are to create a small barrier in front of the house, raise the floor, and repair waterways. Safe space is crucial during floods, especially in a one-story house. This study aims to improve the form of adaptation in residential homes in flood-prone areas. Similarly, the objective is to modify the interior to create a safe space for goods and occupants. The method of data analysis is based on Space Syntax Analysis J-Graphs. Occasionally, J-Graphs can efficiently explain interior modifications, including the ratio and layer of safe spaces, the number of indoor and outdoor connecting rooms, and the ring configuration. Through the design approach and prototype demonstration, it is possible to install interior modifications by making mezzanine floors and utilizing the attic. Although most previous research on building adaptation focused on home construction, home interior modification promises advantages that will result in a more straightforward and workable project for the community's needs.

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supporting

confidence: 53%

mentioning

confidence: 99%

Interior Modification of Residential Housing in Flood Prone Areas

Hidayati

Noviana

Rosyidi³

2023

IJDM

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“…Quantitative data on flood hazard characteristics, building attributes and damage metrics, inform empirical or synthetic damage model development for building‐objects (Scorzini & Frank, 2017). Empirical direct tangible building damage information is generated from flood events through on‐site or remote‐based surveys (e.g., Thieken et al, 2005; Zhai et al, 2005; Kreibich et al, 2010; Vogel et al, 2018; Shrestha et al 2021) and loss compensation or insurance claim data (e.g., Hasanzadeh Nafari et al, 2016; Scorzini & Frank, 2017). On‐site damage surveys enable quantitative data collection for observed flood damage processes (Molinari et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Residential building flood damage: Insights on processes and implications for risk assessments

Paulik

Wild

Zorn

et al. 2022

J Flood Risk Management

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Flood damage assessments provide critical insights on processes controlling building damage and loss. Here, we present a novel damage assessment approach to develop an empirical residential building damage database from five flood events in New Zealand. Object-level damage data was collected for flood hazard and building characteristics, along with relative building component and sub-components damage ratios. A Random Forest Model and Spearman's Rank correlation test were applied to analyse damage data variable importance and monotonic relationships. Model and test results reveal flood inundation depth above first finished floor level is highly important and strongly correlated with total building damage ratios while flow velocity is important for structure component damage. Internal finishes components contribute highly to total building damage ratios as higher value sub-component materials are susceptible to direct damage from water contact and indirect damage during repair. The empirical damage data has several implications for damage model development due to the limited heterogeneity of flood hazard intensities and building attributes observed. Extending empirical damage data with synthetic damage data in future would support development of more representative object-specific damage models to evaluate direct tangible damages for local contexts.

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“…It typically precedes the occurrence of other causal factors, such as broken dams and overflowing rivers [7]. For instance, in countries, such as Australia, South Korea, India, and Myanmar, the bulk of flood damage is related to heavy rain [8][9][10]. Zurich [1] categorized flooding into three types: fluvial floods (riverine flooding), coastal floods (tidal/storm surge), and pluvial floods (flash floods and surface water).…”

Section: Introductionmentioning

confidence: 99%

Flood Damage Assessment: A Review of Microscale Methodologies for Residential Buildings

et al. 2022

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Flood damage assessment (FDA) is an essential tool for evaluating flood damage, vulnerability, and risk to civil systems such as residential buildings. The outcome of an FDA depends on the spatial limits of the study and the complexity of the data. For microscale FDA, a high level of detail is required to assess flood damage. This study reviewed the existing methodologies in microscale FDA based on empirical and synthetic data selection methods for model development. The merits and challenges of these approaches are discussed. This review also proposes an integrated step for assessing the stages of FDA. This study contributes to the literature by providing insights into the methodologies adopted, particularly on a microscale basis, which has not been comprehensively discussed in the previous reviews. The findings of this study reveal that univariate modeling of flood damage is nevertheless popular among researchers. New advanced approaches, such as advanced machine learning and 3D models, are yet to gain prominence when compared with the univariate modeling that has recorded a high success. This review concludes that there is a need to adopt a combined empirical–synthetic approach in the selection of data for developing damage models. Further research is required in the areas of multivariate modeling (advanced machine learning), 3D BIM-GIS modeling, 3D visualization of damages, and projection of probabilities in flood damage predictions to buildings. These are essential for performance flood-based building designs and for promoting building resilience to flood damage.

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Development of flood damage assessment method for residential areas considering various house types for Bago Region of Myanmar

Cited by 26 publications

References 43 publications

Interior Modification of Residential Housing in Flood Prone Areas

Interior Modification of Residential Housing in Flood Prone Areas

Residential building flood damage: Insights on processes and implications for risk assessments

Flood Damage Assessment: A Review of Microscale Methodologies for Residential Buildings

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