A. Tsergas, Flood risk in Attica: recording and analysis of events using GIS, Diploma thesis, Department of Water Resources and Environmental Engineering – National Technical University of Athens, July 2021.
This diploma thesis aims at extensively recording, analysing and presenting flood events. Using the results of this process, it makes observations and provides conclusions about specific areas that are afflicted on a large scale from flood events; therefore they require increased attention. The time period under investigation is from 2006 to 2018. Attika has been chosen as study area. It is a densely populated area which concentrates the biggest part of country’ s population and, at the same time, the geographic region that encompasses its capital, Athens, and its largest port, Pireaus. It is also important to mention that this region has experienced a great number of flood events in the past which caused casualties, economic losses and damage to property and infrastructure. In the present thesis, a file that was provided by Greek Fire Brigade was used as a database. It includes all the calls that they received in 2006-2018 time period. Only those records that had been involved with at a flood event caused by rainfall were kept, with detailed information for each event. Coordinates (longtitude and latitude) were added to the addresses that had been recorded, in order to make their representation and analysis in GIS environment possible. The program that was used for spatial edit and analysis is Arcmap 10.7. After plotting the records on a map, an analysis of the flood events is carried out using a variety of indexes and parameters. At first, the extent of the affliction and the density of flooding events within municipalities have been investigated. In addition to that, the repeatability and seasonality of flooding events have also been analysed. Finally, the connection between flood events and indexes such as altitude, and their location relative to the hydrographic network has been examined. In addition, using Microsoft Excel, an analysis has been conducted regarding other parameters such as the categories of buildings that flooded or which are the years with the greatest numbers of events. Furthermore, major and severe flood events which resulted in an important number of calls are represented using maps. At the end, for each one of these specific events and the day(s) that occurred, rain statistics were collected and depicted.
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