Using GIS Techniques for Identification of the Surfaces with Flash-Flood Risk Potential Within the Area Upstream of Poiana Uzului Reservoir Cover Image

Using GIS Techniques for Identification of the Surfaces with Flash-Flood Risk Potential Within the Area Upstream of Poiana Uzului Reservoir
Using GIS Techniques for Identification of the Surfaces with Flash-Flood Risk Potential Within the Area Upstream of Poiana Uzului Reservoir

Using GIS Techniques for Identification of the Surfaces with Flash-Flood Risk Potential Within the Area Upstream of Poiana Uzului Reservoir

Author(s): Ioana Delia Miftode
Subject(s): Energy and Environmental Studies, Physical Geopgraphy, Geomatics, Maps / Cartography
Published by: Editura Aeternitas
Keywords: anthropic factors; physical-geographic factors; FFPI; floods;

Summary/Abstract: Knowing the value of the flash flood potential index (FFPI) is significant, because there are included in the GIS environment various physical and geographical and anthropic factors playing an essential role in the flash flood occurrence: lithology, slopes, profile curvature, soil texture and the land use. In the mountainous region situated upstream of the Poiana Uzului reservoir, an area with a potential very high risk of flash flood sums up a total surface of 49.36 km2; the area with a potential high risk of flash floods sums up a total surface of 99.31 km2. The highest percentage of the total studied area is exposed to an average risk of flash floods. The Uz hydrographic basin is situated in an area with a potential high risk of flash floods. The map thus obtained displays the spatialization divided into five risk classes (very high, high, average, low, and very low). The surfaces the most exposed to flood generation are concave surfaces, surfaces that include high slopes, hard rocks, a low degree of forestation, clay soils. The areas identified as being critical, concerning the potential of flash flood generation, presented an elevated risk for other related phenomena – in this case, the floods.

  • Issue Year: 2017
  • Issue No: 22
  • Page Range: 171-182
  • Page Count: 12
  • Language: English