<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boglis, A.</style></author><author><style face="normal" font="default" size="100%">Evelpidou, N.</style></author><author><style face="normal" font="default" size="100%">Vassilopoulos, A.</style></author><author><style face="normal" font="default" size="100%">Lekkas, D.</style></author><author><style face="normal" font="default" size="100%">Foudoulis, I.</style></author><author><style face="normal" font="default" size="100%">Gournelos, Th.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Urban flood modeling in Karlovassi area - Samos Island.</style></title><secondary-title><style face="normal" font="default" size="100%">11th International Conference on Environmental Science and Technology (CEST 2009)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><pub-location><style face="normal" font="default" size="100%">Chania, Crete</style></pub-location><volume><style face="normal" font="default" size="100%">II</style></volume><pages><style face="normal" font="default" size="100%">83-91</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div&gt;As flash flood events are becoming more frequent, the development of flood&lt;/div&gt;
&lt;div&gt;estimation methods for areas with limited or lack of data has attracted the interest of&amp;nbsp;many scientists. The aim of the present paper is to develop a GIS based&amp;nbsp;methodology in order to study the flood risk in Karlovassi basin.&amp;nbsp;The annual probability of a flood event is relatively high at Karlovassi area (Samos&lt;/div&gt;
&lt;div&gt;Island – Greece). Especially, after the forest fires that took place in the summer of&amp;nbsp;2000, during which 90.000 hectares were burnt in Kerketeas Mountain, the&lt;/div&gt;
&lt;div&gt;phenomenon has become more intense.&amp;nbsp;Primary data were collected from maps, literature, aerial photos and field work. The&amp;nbsp;collected information data were analyzed through the use of the software ArcGIS in&amp;nbsp;order to generate the appropriate background for the formation of the flood risk&amp;nbsp;model. All the input parameters were weighted and the model was calibrated in situ&amp;nbsp;through field work.&amp;nbsp;The proposed methodology and the preliminary results, as exported for the&amp;nbsp;Karlovassi area, prove the suitability of GIS-based methods in the creation of flood&amp;nbsp;risk maps.&lt;/div&gt;</style></abstract></record></records></xml>