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Community-based evacuation routes for hydrometeorological hazards resilience: a case study of Ratnapura district in Sri Lanka

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dc.contributor.author Cooray, MSS
dc.contributor.author Bandara, AANS
dc.contributor.author Perera, AAH
dc.contributor.author Lankeshwarie, ABD
dc.contributor.author Dassanayake, SM
dc.contributor.author Gunawardana, A
dc.contributor.author Prasanna, R
dc.date.accessioned 2023-11-30T09:00:35Z
dc.date.available 2023-11-30T09:00:35Z
dc.date.issued 2023-12-04
dc.identifier.uri http://dl.lib.uom.lk/handle/123/21835
dc.description.abstract Sri Lanka has endured many hydrometeorological hazards due to torrential rains and monsoonal rains. These events disrupt communication networks, obstruct roadways, and can result in resource misallocation. Thus, setting in place mechanisms that could enhance situational awareness is essential and beneficial in building resilience in disaster management. This study aims to minimize the loss of lives and improve living conditions for the displaced by strategically allocating resources. Our approach involves the development of a decision management system. This system serves the dual purpose of guiding civilians to the nearest evacuation shelter and aiding stakeholders, including local authorities and Red Cross volunteers, in coordinating rescue operations and resource distribution. The research employs a multi-phase methodology, the research conducts susceptibility analysis to identify flood-prone areas based on terrain, land use, and soil data. Leveraging Synthetic Aperture Radar (SAR) satellite imagery, the inundation mapping phase assesses the flooding extent in Rathnapura, the selected study region. These maps are instrumental in optimizing evacuation routes and ensuring the secure movement of affected populations during flood events. The resulting flood risk map integrates with the system to generate the nearest evacuation route. This enables users to circumvent flooded areas inaccessible by land vehicles, ultimately saving crucial time in emergency situations. The data pertaining to the relocation of civilians to these evacuation shelters can be used by authorities to appropriately allocate food, water, medical supplies, and dry rations, and the route suggestion engine can be used in rescuing civilians stranded in their homes during floods. The Decision Management System in question was developed as a web application, which is currently being deployed on a local server with improvements underway to best serve the public and authorities. en_US
dc.language.iso en en_US
dc.publisher Business Research Unit (BRU) en_US
dc.subject Disaster resilience en_US
dc.subject Evacuation en_US
dc.subject Flood susceptibility analysis en_US
dc.subject Route suggestion en_US
dc.subject Situational awareness en_US
dc.title Community-based evacuation routes for hydrometeorological hazards resilience: a case study of Ratnapura district in Sri Lanka en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Business en_US
dc.identifier.department Department of Decision Sciences en_US
dc.identifier.year 2023 en_US
dc.identifier.conference International Conference on Business Research en_US
dc.identifier.place Moratuwa en_US
dc.identifier.pgnos pp. 1-12 en_US
dc.identifier.proceeding 6th International Conference on Business Research (ICBR 2023) en_US
dc.identifier.email sandund@uom.lk en_US
dc.identifier.doi https://doi.org/10.31705/ICBR.2023.18 en_US


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