Scholarly record
DETERMINING FLOOD SHELTER LOCATIONS: A MULTI-CRITERIA SPATIAL ANALYSIS USING GIS TOOLS
Abstract
Globally, natural hazards (e.g., forest fires, floods, earthquakes) are expected to become more frequent and severe due to climate change, unplanned urbanization, and population growth in areas prone to extreme events. Therefore, this paper aims to identify the most suitable locations for flood shelters using multi-criteria spatial analysis using GIS tools. GIS tools facilitate the effective preparation, processing, and visualization of spatial data. By using GIS, it is possible to integrate various data sources, simulate potential flooding scenarios, and analyze spatial relationships between different factors that affect the safety and effectiveness of shelters. Multi-criteria spatial analysis integrates multiple criteria into the decision-making process, ensuring a comprehensive approach to evaluating the safety and suitability of potential sites. Criteria considered in this analysis include elevation, terrain slope, slope orientation, land use, proximity to water bodies, and distance to built-up areas. The use of GIS tools for multi-criteria spatial analysis ensures that all relevant information is taken into account when selecting optimal locations for shelters. This approach enables the development of evacuation models that can contribute to local planning and decision-making, to improve the resilience of communities to flooding and reduce the risk of losses from these natural disasters. The methodology developed for the selection of optimal locations for shelters will provide guidelines for flood protection planning. Additionally, the methodology could be applied in other cities and regions facing similar challenges, thus promoting the wider use of GIS technologies in disaster risk management.
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Chelariu, O.E., Ia?u, C., Minea, I., A GIS-Based Model for Flood Shelter Locations and Pedestrian Evacuation Scenarios in a Rural Mountain Catchment in Romania. Water, vol. 14, 2022, DOI: 10.3390/w14193074.
Barbalic, D., Barbalic, S., Biondic, D., Vukmanic, L., Prethodna Procjena Rizika Od Poplava 2018. Hrvatske vode, pp 1-165, 2019.
Kekez, T., Andricevic, R., Knezic, S., Flood Risk Modeling under Uncertainties: The Case Study of Croatia. Water, vol. 14, 2022, DOI: 10.3390/w14101585.
Osman, S.A., Das, J., GIS-Based Flood Risk Assessment Using Multi-Criteria Decision Analysis of Shebelle River Basin in Southern Somalia. SN Applied Sciences, vol. 5, pp 134, 2023, DOI: 10.1007/s42452-023-05360-5.
Skilodimou, H.D., Bathrellos, G.D., Chousianitis, K., Youssef, A.M., Pradhan, B., Multi-Hazard Assessment Modeling via Multi-Criteria Analysis and GIS: A Case Study. Environmental Earth Sciences, vol. 78, pp 1�21, 2019, DOI: 10.1007/s12665-018- 8003-4. 8003-4
Vojtek, M., Vojtekova, J., Pham, Q.B., GIS-Based Spatial and Multi-Criteria Assessment of Riverine Flood Potential: A Case Study of the Nitra River Basin, Slovakia. ISPRS International Journal of Geo-Information, vol. 10, pp 578, 2021, DOI: 10.3390/ijgi10090578.
Dobrinic, D., Gasparovic, M., Medak, D., Sentinel-1 and 2 Time-Series for Vegetation Mapping Using Random Forest Classification: A Case Study of Northern Croatia. Remote Sensing, vol. 13, pp 1�20, 2021, DOI: 10.3390/rs13122321.
Bacic, M., Kovacevic, M.S., Juric Kacunic, D., Libric, L., Car, M., Gavin, K., Stipanovic, I., Reale, C., Classification of a Flood Protection Infrastructure Based on Its Vulnerability to Various Loads. Proceedings of the 7th International Conference on Road and Rail Infrastructures (CETRA 2022), pp 611�618, 2022, DOI: 10.5592/CO/cetra.2022.1471.
Sortino Barrionuevo, J.F., Castro Noblejas, H., Merida Rodriguez, M.F., Mapping Tools for Flood Risk Rescue and Assistance Management. Land, vol. 13, 2024, DOI: 10.3390/land13010068.
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