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An integrated approach for evaluating the flash flood risk and potential erosion using the hydrologic indices and morpho-tectonic parameters

Abu El-Magd Geology Department, Faculty of Science, Suez University, Suez, 43518, Egypt|
Quoc Bao (57208495034) | Farhana (57210162430); Pham | Sk Ajim (57208693930); Parvin Institute of Applied Technology, Thu Dau Mot University, Binh Duong Province, Viet Nam| H. Orabi (6506556255); Ali Department of Geography, Faculty of Science, Aligarh Muslim University, Aligarh, India| Sherif Ahmed (6506273351); Orabi Geology Department, Faculty of Science, Menoufia University, Shebeen El-Kom, Egypt|

Environmental Earth Sciences Số 20, năm 2021 (Tập 80, trang -)

ISSN: 18666280

ISSN: 18666280

DOI: 10.1007/s12665-021-10013-0

Tài liệu thuộc danh mục:

Article

English

Từ khóa: Sinai; Morpho; Classification (of information); Erosion; Flood control; Information management; K-means clustering; Lithology; Remote sensing; Sediment transport; Tectonics; Erosion and accumulation; Flash-floods; Flood potential; Fuzzy K means clustering; Hydrologic indices; Morpho-tectonic parameter; Sediment accumulation; Sediment erosion; Study areas; Wadi gharandal; flash flood; GIS; integrated approach; parameter estimation; remote sensing; risk assessment; sedimentation; semiarid region; spatial data; tectonic phenomena; Floods
Tóm tắt tiếng anh
An arid climate and lacking adequate flood management systems are the main reasons for flash flood events in arid and semi-arid areas. The study area is a part of the Sinai Peninsula in Egypt, Wadi Gharandal subjected to several flooded events during the past decades. The present study incorporated hydrologic indices and morpho-tectonic parameters to identify the potential sediment accumulation and erosion. Integration of hydrologic indices, stream power index, sediment transport, and topographic wetness indices with morpho-tectonic parameters to produce and detect erosion and sedimentation associated with flash floods is the main objective. Consequently, the geographic information system (GIS) and the fuzzy k-means clustering algorithm were implemented for spatial data classification and management. The applied method revealed that the hydrologic and morphometric parameters play major roles in flash flood contributing factors. The low slope areas are associated with low run-off connected with a high sediment accumulation. Conversely, a high level of erosion is encountered in the steeper slope areas. Furthermore, terrain and lithology are decisive in sediment accumulation and erosion risk in the study area. The present study demonstrates the hydrologic and morpho-tectonic parameters with remote sensing data set are efficient tools in evaluating flash floods, potential erosion, and management, supporting the urban planner for future development. � 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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