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3D GIS model for flood risk assessment of Varna Bay due to extreme sea level rise
Stanchev, H.; Palazov, A.; Stancheva, M. (2009). 3D GIS model for flood risk assessment of Varna Bay due to extreme sea level rise. J. Coast. Res. 56: 1597-1601
In: Journal of Coastal Research. Coastal Education and Research Foundation: Fort Lauderdale. ISSN 0749-0208; e-ISSN 1551-5036, meer
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| Author keywords |
Coastal hazards; Low-laying areas; Satellite images; 3D GIS |
| Auteurs | | Top |
- Stanchev, H.
- Palazov, A.
- Stancheva, M.
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| Abstract |
Assessing flood hazards due to extreme events in coastal areas is an important task and key factor of sustainable coastal development. Over the last decade application of Geographic Information System (GIS) in flood risks mapping and/or modelling has been proved as a valuable tool for predictions. The study presents a 3D GIS model for flood risk assessment caused by extreme sea level rise in Varna bay, North Bulgarian Black Sea coast, where the largest coastal city is located. A high percent of country's population as well as a great deal of national economy, e.g. coastal tourism, transport, harbour activities and maritime industry are concentrated around the Bay of Varna. Topographic maps in scale 1:5000 were used to identify critical low-laying territories along the coast at different scenarios of extreme sea level rise. On the basis of satellite images an evaluation of both individual/public building resources and infrastructure in Varna Bay was performed. Application of 3D GIS model allows visualisation, interpretation and accurate assessment of coastal areas and infrastructures potentially endangered by sudden increase of the sea level. This way, spatial and mapped information on flood risks visualised via 3D GIS modelling is essential for developing local and/or regional prevention strategies (planning coastal/flood defence measures, improving public awareness through education and preparedness of communities, etc.). The results from the study indicate that using of GIS and 3D spatial modelling techniques supports a more thorough understanding of the flooding patterns towards risks mitigation and coastal prevention solutions. |
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