Low‐Cost Solution for Assessment of Urban Flash Flood Impacts Using Sentinel‐2 Satellite Images and Fuzzy Analytic Hierarchy Process: A Case Study of Ras Ghareb City, Egypt

Advances in Civil Engineering - Tập 2019 Số 1 - 2019
Mohammed Sadek1, Xuxiang Li1
1School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049

Tóm tắt

Natural hazards are indeed counted as the most critical challenges facing our world, represented in floods, earthquakes, volcanoes, hurricanes, and forest fires. Among these natural hazards, the flash flood is regarded the most frequent. In this work, we utilized two Sentinel‐2 satellite images, before and after the flash flood, SRTM and photos captured by using a helicopter. This paper aims at three prime objectives. Firstly, the flood influence is determined on the city of Ras Ghareb, Egypt, based on analyzing free satellite data (Sentinel‐2 images). Secondly, fuzzy the analytical hierarchy process (FAHP) method and a geographical information system (GIS) are integrated for flood risk analysis and evaluation in the flood‐prone area. Finally, such a flood vulnerability map is used as an index to assist the decision‐makers prepare for probable flooding. FAHP is preferable as it can cater to the uncertainties in data and analysis. As a result, FAHP is appropriate to determine the flood‐vulnerable area in cities especially due to the matching with the most destroyed areas identified by the change detection between the two Sentinel‐2 images. Then, the decision‐maker can depend on Sentinel‐2 images to estimate the flood influence through a regional scale or applying the FAHP on cities susceptible to flash floods in case of unavailable satellite images to contribute in establishing an early warning system enough to the evacuation of the risky areas.

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Tài liệu tham khảo

Lin X., 1999, Technical Documents in Hydrology

10.1007/s11069‐016‐2286‐0

10.1111/jfr3.12303

10.1007/s11069‐016‐2601‐9

10.1080/01431160902929230

10.1080/01431160110114484

10.3390/w6082367

10.5194/nhess‐18‐1493‐2018

10.1029/2006rg000197

10.1016/j.jag.2014.12.001

10.3390/w7041437

10.3390/urbansci1010007

10.1080/01431161003645808

10.3390/rs5020687

GasconF. BouzinacC. ThépautO.et al. Sentinel-2A calibration and products validation status Remote Sensing 2017 9 no. 6 https://doi.org/10.3390/rs9060584 2-s2.0-85021146089.

10.14358/pers.72.3.261

10.14358/pers.72.3.237

10.1016/j.jvolgeores.2007.09.005

JarvisA. ReuterH. I. NelsonA. andGuevaraE. Hole-filled SRTM for the globe 2008 Version 4. available from the CGIAR-CSI SRTM 90m Database.

10.5194/nhess‐15‐2725‐2015

10.1007/s11069‐017‐2755‐0

10.1016/j.apgeog.2016.01.005Not

10.5194/nhess‐13‐669‐2013

10.1080/01431160600589179

MostafaY. Comparison of Land cover change detection methods using SPOT images 2006 Master of Science Department of Civil Engineering Assiut University Asyut Egypt.

Story M., 1986, Accuracy assessment: a user’s perspective, Photogrammetric Engineering and Remote Sensing, 52, 397

10.1016/j.jaridenv.2010.07.001

10.1061/(asce)0733‐9496(1996)122:6(394)

Saaty T. L., 1980, The Analytic Process: Planning, Priority Setting, Resources Allocation

10.1016/s0888‐613x(99)00025‐0

10.1007/s11069‐015‐1922‐4

10.1080/014311698215018

Malczewski J., 1999, GIS and Multicriteria Decision Analysis

10.5194/nhess‐12‐443‐2012