Search

Browse

• Communities
• Authors
• Year
• Titles
• Subjects

My Space

• Login

Spatial flood risk analysis in the Tympaki area of Crete

Griva Maria

Full record

---

Summary

This thesis focuses on the assessment of flood risk in the Tympakiou area, using multi-criteria analysis in a Geographic Information Systems (GIS) environment. For the spatial assessment of flood risk, six quantitative raster thematic maps were mapped and visualized, which were spatially combined to create the overall flood risk map of the area in study. The six (6) factors that our study was based on and influence the susceptibility of an area to flooding are: a) Elevation, b) Slope, c) Flow Concentration, d) Hydrogeology, e) Land Use, and f) Rainfall Intensity. Flood risk was categorized, for each of the factors, into five different classes: very low (1), low (2), moderate (5), high (8), and very high (10), based on the Natural Breaks (Jenks) method. Then, following the appropriate methodology and using the weighting coefficients resulting from the quantification of the impact of each factor on the overall flood risk, the final flood risk map of the study area was constructed. The results of the study carried out prove that the Tympakiou area is characterized by a high flood risk in most of its part. The reliability of the final flood risk map is verified through a study that has been carried out and identifies the study area as a potentially high floor risk zone. Moreover, the study was not limited to the determination of the flood risk according to the current data prevailing in the wider area, but two additional scenarios based on land use change were formulated, with the aim of predicting the future flood risk. In the first scenario, the complex crop systems were converted to arid crops, thus reducing flood risk, while in the second scenario, an urban zone was constructed on the coastal front of the area to achieve the opposite effect. For both scenarios, thematic land use maps and overall flood risk maps were created to investigate their influence on the generation of flood events.

Available Files

Services