Flood Extent Delineation and Exposure Assessment in Senegal Using the Google Earth Engine: The 2022 Event

被引:0
|
作者
Sy, Bocar [1 ]
Bah, Fatoumata Bintou [1 ]
Dao, Hy [2 ,3 ]
机构
[1] Univ Amadou Mahtar Mbow, Dept Geosci & Environm, Lab Appl Geomatic LAG, Polytech Diamniadio, Rue 21 20,2eme Arrondissement, Dakar 15258, Senegal
[2] Univ Geneva, Geneva Sch Social Sci, Dept Geog & Environm, 66 Blvd Carl Vogt, CH-1205 Geneva, Switzerland
[3] Univ Geneva, Inst Environm Sci, Blvd Carl Vogt 66, CH-1205 Geneva, Switzerland
关键词
flood extent mapping; flood exposition assessment; remote sensing; Google Earth Engine; Sentinel-1; hydrological and hydraulic modeling; SENTINEL-1; RISK; INUNDATION;
D O I
10.3390/w16152201
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study addresses the pressing need for flood extent and exposure information in data-scarce and vulnerable regions, with a specific focus on West Africa, particularly Senegal. Leveraging the Google Earth Engine (GEE) platform and integrating data from the Sentinel-1 SAR, Global Surface Water, HydroSHEDS, the Global Human Settlement Layer, and MODIS land cover type, our primary objective is to delineate the extent of flooding and compare this with flooding for a one-in-a-hundred-year flood event, offering a comprehensive assessment of exposure during the period from July to October 2022 across Senegal's 14 regions. The findings underscore a total inundation area of 2951 square kilometers, impacting 782,681 people, 238 square kilometers of urbanized area, and 21 square kilometers of farmland. Notably, August witnessed the largest flood extent, reaching 780 square kilometers, accounting for 0.40% of the country's land area. Other regions, including Saint-Louis, Ziguinchor, Fatick, and Matam, experienced varying extents of flooding, with the data for August showing a 1.34% overlap with flooding for a one-in-a-hundred-year flood event derived from hydrological and hydraulic modeling. This low percentage reveals the distinct purpose and nature of the two approaches (remote sensing and modeling), as well as their complementarity. In terms of flood exposure, October emerges as the most critical month, affecting 281,406 people (1.56% of the population). The Dakar, Diourbel, Thi & egrave;s, and Saint-Louis regions bore substantial impacts, affecting 437,025; 171,537; 115,552; and 77,501 people, respectively. These findings emphasize the imperative for comprehensive disaster preparation and mitigation efforts. This study provides a crucial national-scale perspective to guide Senegal's authorities in formulating effective flood management, intervention, and adaptation strategies.
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页数:22
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