Gamal Mohamed A, Abdelfattah Mohamed, Maher George
Geophysics Department, Faculty of Science, Cairo University, Giza, Egypt.
Geology Department, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt.
Heliyon. 2024 Aug 22;10(17):e36545. doi: 10.1016/j.heliyon.2024.e36545. eCollection 2024 Sep 15.
Landslides are a rare but hazardous geological phenomenon in Egypt, with the El Mokattam plateau situated in the eastern part of Cairo covering approximately 64 km and ranging in elevation from 50 to 205 m. This study aims to identify and monitor landslides in the area using various geophysical methods. Twelve Electrical resistivity tomography (ERT) profiles,twenty-two P-wave Seismic Refraction profiles, twenty-two Refraction microtremors profiles, three ground penetrating radar (GPR) profiles and borehole data were utilized to analyze the occurrence of landslides in the El Mokattam Plateau. Additionally, we employed a relatively new geophysical method, studying high-frequency microtremor sounds emitted from landslide collapses at 22 stations. Our analysis identified steep slopes, jointed or fractured rocks, and irrigation water as primary factors contributing to landslides, with irrigation water acting as a lubricant for clays and promoting ground sliding. Examination of high-frequency microtremor sounds revealed a potential correlation between vertical high-frequency spectra at 100 Hz and landslide collapses, which aids in the identification of landslide-prone zones. Therefore, we conclude that seismological studies, particularly spectral analysis of high-frequency and low-amplitude sounds (microtremors) emitted from soil, offer a promising approach for investigating landslides.
山体滑坡在埃及是一种罕见但危险的地质现象,位于开罗东部的穆卡塔姆高原面积约64平方公里,海拔50至205米。本研究旨在运用多种地球物理方法识别和监测该地区的山体滑坡。利用12条电阻率层析成像(ERT)剖面、22条P波地震折射剖面、22条微震折射剖面、3条探地雷达(GPR)剖面以及钻孔数据,分析穆卡塔姆高原山体滑坡的发生情况。此外,我们采用了一种相对较新的地球物理方法,在22个站点研究山体滑坡崩塌产生的高频微震声音。我们的分析确定了陡坡、节理或破碎岩石以及灌溉用水是导致山体滑坡的主要因素,灌溉用水起到了润滑黏土并促使地面滑动的作用。对高频微震声音的检测揭示了100赫兹处的垂直高频频谱与山体滑坡崩塌之间存在潜在关联,这有助于识别易发生山体滑坡的区域。因此,我们得出结论,地震学研究,特别是对土壤发出的高频和低振幅声音(微震)进行频谱分析,为调查山体滑坡提供了一种很有前景的方法。