Unit:
Κατεύθυνση Γεωγραφία και ΠεριβάλλονLibrary of the School of Science
Author:
Κοτίνας Βασίλειος
Supervisors info:
Γκουρνέλος Θεόδωρος Καθηγητής (επιβλέπων), Σκιάνης Γεώργιος Αναπλ. Καθηγητής, Ευελπίδου Νικολέττα Αναπλ. Καθηγήτρια
Original Title:
Μελέτη των Πλημμυρών και της Διάβρωσης εδάφους στο νησί της Σάμου, με τη βοήθεια μεθόδων τεχνητής νοημοσύνης και Γ.Σ.Π.
Translated title:
Study of Soil Erosion and Flood Risk in the island of Samos(Greece), with the use of artificial intelligence ,and G.I.S
Summary:
The aim of this master is the study of soil erosion and flood risk assessment
on the island of Samos. The investigation of the factors that affect the
aforementioned natural disasters, is the primary objective of the present work.
The data used to complete this work are the topographic map and geological map
of Samos, the data of the European Programme for Territorial Coverage CORINE
(CORINE land cover project),evidence of Historic Natural Disaster events(floods
and fires archives), weather –climatic data, satellite images(LANDSAT 8),and
theoretical elements of probability, statistics and fuzzy logic techniques.
Initially, the topographic and geological map was processed and
digitised,followed by the acquisition of the Corine Data. All of these were
imported in a G.I.S. environment.From the analysis of satellite images the land
use map was updated. A full morphometric analysis of river parameters was
conducted and a table with the morphological, geological, climatic and land use
data was retrieved for each catchment. Statistical analysis of these data was
conducted and two models of hazard risk(erosion and flood risk) were produced,
using data and artificial intelligence techniques(fuzzy logic to model flood
risk).
The analysis of all these data showed that Samos, presents great diversity both
in topography, geology and in other characteristics. The Neogene basins of the
island are those that have the greatest risk in terms of soil erosion and
flooding.Human intervention intensifies and contributes to the intensity of
these phenomena over the years.
Keywords:
Soil Erosion, Flood Risk Assessment, Morphometric Analysis, Geomorphology, Natural Hazards Modelling