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.

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 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 Ensemble-based flood vulnerability assessment for probable maximum flood in a changing environment

2019 ◽  
Vol 576 ◽  
pp. 342-355 ◽  
Author(s):  
Sudershan Gangrade ◽  
Shih-Chieh Kao ◽  
Tigstu T. Dullo ◽  
Alfred J. Kalyanapu ◽  
Benjamin L. Preston
Keyword(s):  
Vulnerability Assessment ◽  
Changing Environment ◽  
Flood Vulnerability ◽  
Probable Maximum Flood ◽  
Flood Vulnerability Assessment

Flood vulnerability assessment in the light of rice cultivation characteristics in Mekong River flood plain in Cambodia

2013 ◽  
Vol 12 (S2) ◽  
pp. 275-286 ◽  
Author(s):  
Toshio Okazumi ◽  
Shigenobu Tanaka ◽  
Youngjoo Kwak ◽  
Badri Bhakta Shrestha ◽  
Ai Sugiura
Keyword(s):  
Vulnerability Assessment ◽  
Flood Plain ◽  
Rice Cultivation ◽  
Mekong River ◽  
Flood Vulnerability ◽  
River Flood ◽  
Flood Vulnerability Assessment

scholarly journals A GIS-based Approach for Flood Vulnerability Assessment in Hoa Vang District, Danang City, Vietnam

2021 ◽  
Vol 652 (1) ◽  
pp. 012003
Author(s):  
Tran Thi An ◽  
Venkatesh Raghavan ◽  
Nguyen Vinh Long ◽  
Saizen Izuru ◽  
Narumasa Tsutsumida
Keyword(s):  
Vulnerability Assessment ◽  
Flood Vulnerability ◽  
Flood Vulnerability Assessment

scholarly journals Review of different methods and techniques used for flood vulnerability analysis

2020 ◽  
Author(s):  
Dilip Kumar ◽  
Rajib Kumar Bhattacharjya
Keyword(s):  
Vulnerability Assessment ◽  
Flood Hazard ◽  
Ground Level ◽  
Primary Objective ◽  
Single Type ◽  
Flood Vulnerability ◽  
Hazard Management ◽  
Multiple Risks ◽  
Flood Hazard Management ◽  
Precise Relationship

Abstract. Assessment of vulnerability is the primary objective of flood hazard management. One of the most significant purposes of flood vulnerability appraisal is to make a precise relationship between the theoretical conceptions of flood vulnerability and the ground level management policies. A variety of approaches have been defined by many researchers to evaluate vulnerability. As such, the selection of the most suitable methodology is essential for policymakers to adequate mitigation policies. The purpose of the present study is to review all the vulnerability methods floating over the research universe and compare their benefits and drawbacks. This study evaluated more than 250 selected articles related to the assessment of vulnerability published between 1980 and 2020 to determine their competence in the estimation of flood vulnerability. The findings show that most of the research works are related to statistical methods, and the methods used to allocate weight to different indicators associate to the vulnerability. Moreover, most of the vulnerability assessment methods are centred around the single type of hazard, i.e., flood, drought, etc. As such, the results recommend the necessity for developing a new integrated vulnerability assessment framework applicable to worldwide considering multiple risks.

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