INTEGRATED FLOOD HAZARD MAPPING IN THE FRAMEWORK OF THE E.U. DIRECTIVE ON THE ASSESSMENT AND MANAGEMENT OF FLOOD RISKS

Floods have been the most common and widespread of all weather-related natural disasters during the 20 th century. Moreover, due to the anticipated climate change it is likely that severe floods will hit Europe more frequently. They are natural phenomena but with the appropriate measures we can reduce their likelihood and limit their impact. This paper illustrates a methodology that may be used for assessing and mapping potentially inundated areas. This research was developed in the framework of the new European Union directive on the assessment and management of flood risks, and was applied in the downstream end of a catchment in northern Greece. This methodology integrates hydrologic and hydraulic models with the digital terrain model and produces flood hazard maps according to probability scenarios. Predictions of flooding from rainfall for different return periods are assessed and mapped with Geographic Information Systems (GIS). These maps will be further used to establish flood hazard management plans focused on prevention, protection and preparedness.

[1]  V. R. Schneider,et al.  GUIDE FOR SELECTING MANNING'S ROUGHNESS COEFFICIENTS FOR NATURAL CHANNELS AND FLOOD PLAINS , 1989 .

[2]  Douglas M. Johnston,et al.  Runoff Volume Estimation Using GIS Techniques , 1990 .

[3]  L. Martz,et al.  Network and Subwatershed Parameters Extracted From Digital Elevation Models , 1993 .

[4]  M. Clark,et al.  Putting water in its place: a perspective on GIS in hydrology and water management , 1998 .

[5]  M. Werner,et al.  Impact of grid size in GIS based flood extent mapping using a 1D flow model , 2001 .

[6]  P. Bates,et al.  Evaluation of 1D and 2D numerical models for predicting river flood inundation , 2002 .

[7]  S. Payraudeau,et al.  Sensitivity of effective rainfall amount to land use description using GIS tool. Case of a small mediterranean catchment , 2003 .

[8]  R. Schlaepfer,et al.  Spruce snag quantification by coupling colour infrared aerial photos and a GIS , 2004 .

[9]  T. Chou,et al.  Application of the PROMETHEE technique to determine depression outlet location and flow direction in DEM , 2004 .

[10]  P. K. Paul,et al.  Selection of Site for Small Hydel Using GIS in the Himalayan Region of India , 2006 .

[11]  Matthew S. Horritt,et al.  A methodology for the validation of uncertain flood inundation models , 2006 .

[12]  D. Roberts,et al.  Wildfire temperature and land cover modeling using hyperspectral data , 2006 .

[13]  Nurünnisa Usul,et al.  Flood forecasting and analysis within the Ulus Basin, Turkey, using geographic information systems , 2006 .

[14]  T. L. Toan,et al.  Mapping of flood dynamics and spatial distribution of vegetation in the Amazon floodplain using multitemporal SAR data , 2007 .

[15]  Mark Horan,et al.  A GIS-based approach for identifying potential runoff harvesting sites in the Thukela River basin, South Africa , 2007 .

[16]  S. M. Wise,et al.  Effect of differing DEM creation methods on the results from a hydrological model , 2007, Comput. Geosci..

[17]  F. Pappenberger,et al.  © Author(s) 2007. This work is licensed under a Creative Commons License. Advances in , 2022 .

[18]  Surendra Kumar Mishra,et al.  A Sediment Graph Model Based on SCS-CN Method , 2008 .

[19]  G. Schumann,et al.  Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM , 2008 .