scholarly journals Physical Flood Vulnerability Assessment Using Geospatial Indicator-Based Approach and Participatory Analytical Hierarchy Process: A Case Study in Kota Bharu, Malaysia

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1786
Author(s):  
Ismaila Usman Kaoje ◽  
Muhammad Zulkarnain Abdul Rahman ◽  
Nurul Hazrina Idris ◽  
Khamarrul Azahari Razak ◽  
Wan Nurul Mardiah Wan Mohd Rani ◽  
...  
Keyword(s):  
Analytical Hierarchy Process ◽  
Vulnerability Assessment ◽  
Flood Hazard ◽  
Integrated Approach ◽  
Vulnerability Index ◽  
Kappa Statistics ◽  
Flood Vulnerability ◽  
Expert Opinions ◽  
Hierarchy Process ◽  
Flood Vulnerability Assessment

The most devastating flood event in Kota Bharu was recorded in December 2014, which affected several properties worth millions of dollars and thousands of homes. Damage to physical properties, especially buildings, is identified as a significant contributor to flood disasters in Malaysia. Therefore, it is essential to address physical flood vulnerability by developing an integrated approach for modeling buildings’ flood vulnerability to decrease the flood consequences. This study aims at developing a flood vulnerability assessment approach using an indicator-based model (IBM) for individual buildings in Kota Bahru, Kelantan, Malaysia. An intensive literature review and expert opinions were used to determine suitable indicators that contribute to the physical flood vulnerability of buildings. The indicators were grouped into three components, i.e., flood hazard intensity (I), building characteristics (C), and effect of the surrounding environment (E). The indicators were further refined based on expert opinions and Relative Importance Index (RII) analysis. Based on their contribution to the Malaysia local building flood vulnerability, priority weight is assigned by the experts to each of the selected indicators using the participatory Analytical Hierarchy Process (AHP). A spatial database of buildings in Kota Bharu is developed through field surveys and manually digitizing building footprints from satellite imageries. The identified indicators and their weight are added to each building footprint. The Weighted Linear Combination (WLC) aggregation method combined the weight of indicators into a vulnerability index and maps. The results of a physical flood vulnerability were validated using building damage information obtained through interviews with the community that experienced previous flood in the study area. The result showed that about 98% of the study area’s buildings have either moderate or low vulnerability to flooding. The flood vulnerability map has an overall accuracy of 75.12% and 0.63 kappa statistics. In conclusion, the IBM approach has been used successfully to develop a physical flood vulnerability for buildings in Kota Bharu. The model contributes to support different structural and non-structural approaches in the flood mitigations process.

scholarly journals Participatory flood vulnerability assessment: a multi-criteria approach

2018 ◽  
Vol 22 (1) ◽  
pp. 373-390 ◽  
Author(s):  
Mariana Madruga de Brito ◽  
Mariele Evers ◽  
Adrian Delos Santos Almoradie
Keyword(s):  
Vulnerability Assessment ◽  
Vulnerability Index ◽  
Private Companies ◽  
Flood Vulnerability ◽  
Governmental Organizations ◽  
Network Process ◽  
Vulnerability Maps ◽  
Criteria Importance ◽  
Hierarchy Process ◽  
Flood Vulnerability Assessment

Abstract. This paper presents a participatory multi-criteria decision-making (MCDM) approach for flood vulnerability assessment while considering the relationships between vulnerability criteria. The applicability of the proposed framework is demonstrated in the municipalities of Lajeado and Estrela, Brazil. The model was co-constructed by 101 experts from governmental organizations, universities, research institutes, NGOs, and private companies. Participatory methods such as the Delphi survey, focus groups, and workshops were applied. A participatory problem structuration, in which the modellers work closely with end users, was used to establish the structure of the vulnerability index. The preferences of each participant regarding the criteria importance were spatially modelled through the analytical hierarchy process (AHP) and analytical network process (ANP) multi-criteria methods. Experts were also involved at the end of the modelling exercise for validation. The final product is a set of individual and group flood vulnerability maps. Both AHP and ANP proved to be effective for flood vulnerability assessment; however, ANP is preferred as it considers the dependences among criteria. The participatory approach enabled experts to learn from each other and acknowledge different perspectives towards social learning. The findings highlight that to enhance the credibility and deployment of model results, multiple viewpoints should be integrated without forcing consensus.

Physical flood vulnerability assessment of buildings in Kota Bharu, Malaysia: an indicator-based approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismaila Usman Kaoje ◽  
Muhammad Zulkarnain Abdul Rahman ◽  
Nurul Hazrina Idris ◽  
Tze Huey Tam ◽  
Mohd Radhie Mohd Sallah
Keyword(s):  
Vulnerability Assessment ◽  
Flood Hazard ◽  
Vulnerability Index ◽  
Flood Vulnerability ◽  
Content Type ◽  
Gis Environment ◽  
Physical Elements ◽  
Damage Mapping ◽  
Flood Vulnerability Assessment ◽  
Flood Vulnerability Index

Purpose The purpose of this paper is to introduce a geospatial approach for buildings flood vulnerability assessment using an indicator-based method (IBM) to support flood risk assessment and mapping of physical elements at risk in Kota Bharu District, Kelantan, Malaysia. Design/methodology/approach The study developed an indicator-based approach to undertake physical flood vulnerability assessment of buildings. The approach takes into consideration flood hazard intensity, building characteristics and structures surrounding the environment as factors that influence flood vulnerability. The aggregation of the total flood vulnerability index is carried out in a geographic information system (GIS) environment. Findings The results provide a spatial representation of buildings flood vulnerability index in Kota Bharu Malaysia, and the degree of expected vulnerability is expressed on a scale between 0 to 1 (low damage to total damage). Mapping flood vulnerability index of buildings should be considered in future flood mitigation and evacuation planning. Originality/value Unlike other indicator-based methods (IBMs) developed for physical flood vulnerability assessment, in the current study, hazard intensity has been considered and incorporated in the physical flood vulnerability model.

scholarly journals Participatory flood vulnerability assessment: a multi-criteria approach

2017 ◽  
Author(s):  
Mariana Madruga de Brito ◽  
Mariele Evers ◽  
Adrian Almoradie
Keyword(s):  
Vulnerability Assessment ◽  
Vulnerability Index ◽  
Private Companies ◽  
Flood Vulnerability ◽  
Governmental Organizations ◽  
Network Process ◽  
Vulnerability Maps ◽  
Criteria Importance ◽  
Hierarchy Process ◽  
Flood Vulnerability Assessment

Abstract. This paper presents a participatory multi-criteria decision-making (MCDM) approach for flood vulnerability assessment while considering the relationships between vulnerability drivers. The applicability of the proposed framework is demonstrated in the municipalities of Lajeado and Estrela, Brazil. The model was co-constructed by 101 experts from governmental organizations, universities, research institutes, NGOs, and private companies. Participatory methods such as the Delphi survey, focus groups and workshops were applied. A participatory problem structuration, in which the modellers work closely with end-users, was used to establish the structure of the vulnerability index. The preferences of each participant regarding the criteria importance were spatially modelled through the Analytical Hierarchy Process (AHP) and Analytical Network Process (ANP) multi-criteria methods. Experts were also involved at the end of the modelling exercise for validation. The final product is a set of individual and group flood vulnerability maps. Both AHP and ANP proved to be effective for flood vulnerability assessment; however, ANP is preferred as it considers the relationships between vulnerability drivers. The participatory approach enabled experts to learn from each other and acknowledge different perspectives towards social learning. The findings highlight that to enhance the credibility and deployment of model results, multiple viewpoints should be integrated without forcing consensus.

scholarly journals Integrating GIS and Analytical Hierarchy Process to Determine Flood Vulnerability Level in Surabaya, Indonesia

2021 ◽  
Vol 936 (1) ◽  
pp. 012036
Author(s):  
Nurwatik ◽  
A B Cahyono ◽  
A O Rachmandafitri
Keyword(s):  
Analytical Hierarchy Process ◽  
Social Economic ◽  
Flood Vulnerability ◽  
The Social ◽  
Huge Impact ◽  
National Disaster ◽  
Inundation Height ◽  
The Impact ◽  
Hierarchy Process ◽  
Flood Vulnerability Assessment

Abstract Flood is one of the hydrometeorological disasters that occur in Surabaya, especially during the rainy season. The occurrence of floods brings a huge impact on the economy, the environment, and humans’ losses. Based on the National Disaster Management Agency in Indonesia (BNPB) records, the flood inundation height in Surabaya reach about 10 -70 cm for 6 hours. Some anticipation efforts are required to minimize the impact. Therefore, this study aims to provide a flood vulnerability level assessment using the GIS and Analytical Hierarchy Process (AHP) method as a priority recommendation in increasing capacity. This research uses 4 criteria in the assessment including social, economic, physical, and environmental. Each criterion is divided into several classes with adjusted scoring values. The results of the AHP rank the social criteria as the highest weighted value of 0.42322. Furthermore, the results of the flood vulnerability assessment yield some areas that have the highest vulnerability value including Trengilismejoyo District, Wonocolo District, Dukuhpakis District, Sukolilo District, Krembangan District, Semampir District, and Benowo District.

scholarly journals Artificial Intelligence in Geospatial Analysis for Flood Vulnerability Assessment: A Case of Dire Dawa Watershed, Awash Basin, Ethiopia

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Habtamu Tamiru ◽  
Megersa O. Dinka
Keyword(s):  
Artificial Intelligence ◽  
Vulnerability Assessment ◽  
Flood Hazard ◽  
Geospatial Analysis ◽  
Flood Events ◽  
Ann Model ◽  
Flood Vulnerability ◽  
Dire Dawa ◽  
Ground Truthing ◽  
Flood Vulnerability Assessment

This study presents the novelty artificial intelligence in geospatial analysis for flood vulnerability assessment in Dire Dawa, Ethiopia. Flood-causing factors such as rainfall, slope, LULC, elevation NDVI, TWI, SAVI, K-factor, R-factor, river distance, geomorphology, road distance, SPI, and population density were used to train the ANN model. The weights were generated in the ANN model and prioritized. Initial values were randomly assigned to the NN and trained with the feedforward processes. Ground-truthing points collected from the historical flood events of 2006 were used as targeting data during the training. A rough flood hazard map generated in feedforward was compared with the actual data, and the errors were propagated back into the NN with the backpropagation technique, and this step was repeated until a good agreement was made between the result of the GIS-ANN and the historical flood events. The results were overlapped with ground-truthing points at 88.46% and 89.15% agreement during training and validation periods. Therefore, the application of the GIS-ANN for the assessment of flood vulnerable zones for this city and its catchment was successful. The result of this study can also be further considered along with the city and its catchment for practical flood management.

scholarly journals Flood Vulnerability Assessment for Prioritizing and Evaluating Rehabilitation of Ungauged Reservoirs Considering Climate Change

Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1901
Author(s):  
Sang-Min Jun ◽  
Moon-Seong Kang ◽  
Soonho Hwang ◽  
Jihoon Park ◽  
Jung-Hun Song
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Vulnerability Assessment ◽  
Hydraulic Structure ◽  
Vulnerability Index ◽  
Hydraulic Structures ◽  
Flood Vulnerability ◽  
Before And After ◽  
Flood Vulnerability Assessment ◽  
Flood Vulnerability Index

The objective of this research was to apply the flood vulnerability assessment to ungauged reservoirs for prioritizing and evaluating the reservoir rehabilitation according to climate change. The flood vulnerability index (FVI) can quantitatively compare the flood vulnerabilities of the analysis targets and can be used for the relative comparison of hydraulic structures to determine the reinforcement priority. In this study, we proposed a simple FVI that contained exposure and adaptive capacity of the hydraulic structure. We selected ten dam heightening reservoirs in Korea and constructed data for flood vulnerability assessment. The FVI was calculated before and after the dam heightening to analyze the priority and effect of reservoir rehabilitation under climate change. Flood vulnerability indices were estimated for four periods (1995s: 1981–2010, 2025s: 2011–2040, 2055s: 2041–2070, 2085s: 2071–2100) and before/after the dam heightening project. As a result, flood vulnerability indices decreased after the dam heightening project for all reservoirs, and the indices have increasing tendencies in the future. The indices developed in this study can be useful to determine the priority and to evaluate the effect of rehabilitation for hydraulic structures.

scholarly journals GIS Based Method for Flood Hazard Assesment in Kobe River Watershed - North Maluku Province

2021 ◽  
Vol 328 ◽  
pp. 04019
Author(s):  
Nani Nagu ◽  
A. Latif Lita ◽  
H Bebi ◽  
Nurhalis Wahiddin
Keyword(s):  
Flood Hazard ◽  
Vulnerability Index ◽  
Hazard Map ◽  
Flood Vulnerability ◽  
Flood Susceptibility ◽  
Flood Hazard Map ◽  
Prone Area ◽  
Flood Prone Area ◽  
Hierarchy Process ◽  
Selection Of

The objectives of this study are to mapping the hazard-prone area and to analyse the flood vulnerability index in Kobe Watershed, Central Halmahera District. In order to determine the optimal selection of weights for the factors that contribute to flood risk, GIS and multi-criteria decision analysis (MCDA) were used in conjunction with the application of the analytical hierarchy process (AHP) method to create the flood hazard map. The flood hazard map was generated by using selected hazard factors including land use, topography, slope, and rainfall pattern. The result shows that the Kobe River basin is a flood-prone area, with 77.46 percent of its land classified as less prone to flooding and 21.41 percent classified as flood-prone. However, only 21.41 percent of its land is classified as flood-prone. Only 1.13 percent of the land is protected from the danger of floods, compared to the whole country. The altitude factor is the most important element influencing flood susceptibility in Weda District, where the majority of the land (16.34 percent) is located at or below sea level, making it particularly vulnerable to flooding.

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