Document Type

Article

Publication Date

8-24-2016

Abstract

Flash floods are the most common type of natural hazards that cause loss of lifc ind massive damage to economic activities. During the last-few decades, their impact ) M I ncreased due to rapid urbanization and seulement in downstreum areas, which are" desirable place for development. Wadi Asyuti. much LiKe other wadis in the Eastern Desctt of Egypt. is prone to flash flood problema. Analysis and interpretation of microwave remotely sensed data obtained from the Shuttle Radar Topography Mission (SRTM) and Tropical Rainfall Measuring Mission (TRMM) data using GIS techniques provided information on physical characieristics of catchments and rainfall zones. These data play a A crucial role S mapping flash flood potentials and predicting hydrologic conditions space and time. In order to delincate lash flood potentials in Wadi Asyuti basin, several mor- DA phometric parameters that tend to promote higher flood peak and Tunoff, including drai- nage characteristics, basin relief, texture, and geometry were computed, ranked, and combined using several approaches. The resulting flash flood potential maps, categorized the sub-basins into five classes, ranging from very low to very high flood potentials. In addition, integrating the spatially distributed drainage density, rainfall intensity, and slope gradicnt further highlighted areas Of potential flooding within the Wadi Asyuti basin. Processing f recent Landsat-g imagery acquired on March ST 2014, validated the flood potentia] maps and offered an opporumity measure the extent (200-900 m in width) of the flooding Zone within the flash flood event on March O 2014, as vell as revealed vulnerable areas of social and economic activities, These results demonstrated that excessive rainfall intensity in arcas of higher 1opographic relief, steep slope, and drainage density are the major causes of flash floods. Furthermore, integration of remote sensing data and GIS 1cchniques allowed mapping flood-pronc arcas in a fast and cost-effcctive to help decision makers in preventing flood hazards in the future.

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