Present stage of recent crustal movements and seismicity within Greater Cairo area, Egypt

Mohamed, A.M.A.; Mohamed, Gad-Elkareem A.; Omar, Khaled; AbouAly, Nadia

doi:10.1007/s10950-013-9397-9

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…Badawy et al (2016) estimated the direct economic losses, in terms of building damage, which may be caused by an earthquake similar to the October 1992 earthquake to be USD 49.3 billion [37]. The study of the impact of such an event is very important because, as A. M. S. Mohamed et al (2014) mentioned, the probability of the occurrence of an earthquake with ML = 5.0 is 99.9% in 100 years and 100% in 200 years in the Dahshour seismic source [38]. Therefore, producing seismic hazard maps (SHMs) of such significant events is very important for urban planning, seismic risk assessment, seismic risk reduction, and disaster management.…”

Section: Case Study and Materialsmentioning

confidence: 99%

Identifying Exposure of Urban Area to Certain Seismic Hazard Using Machine Learning and GIS: A Case Study of Greater Cairo

et al. 2022

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The 1992 Cairo earthquake, with a moment magnitude of 5.8, is the most catastrophic earthquake to shock the Greater Cairo (GC) in recent decades. According to the very limited number of seismological stations at that time, the peak ground acceleration (PGA) caused by this event was not recorded. PGA calculation requires identification of nature of the earthquake source, the geologic setting of the path between the source and site under investigation and soil dynamic properties of the site. Soil dynamic properties are acquired by geotechnical investigations and/or geophysical survey. These two methods are costly and are not applicable in regional studies. This study presents an adaptive and reliable PGA prediction model using machine learning (ML) along with six standard geographic information system (GIS) interpolation methods (IDW, Kriging, Natural, Spline, TopoToR, and Trend) to predict the spatial distribution of PGA caused by this event over the GC. The model is employed to estimate the exposure of the urban area and population in the GC based on the available geotechnical and geophysical investigations. The exposure (population) data is from free and easy-access sources, e.g., Landsat images and the Global Human Settlement Population Grid (GHS-POP). The results show that Natural, Spline, and Trend are not suitable GIS interpolation techniques for generating seismic hazard maps (SHMs), while the Kriging Method shows sufficient prediction. Interestingly, with an accuracy of 96%, the ML model outperforms the classical GIS methodologies.

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Section: Case Study and Materialsmentioning

confidence: 99%

Identifying Exposure of Urban Area to Certain Seismic Hazard Using Machine Learning and GIS: A Case Study of Greater Cairo

et al. 2022

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“…It shows that W M values decrease with the increase in temperature. The relaxation time τ for electrons to hop over a barrier of height W H is given as [30,36,37]:…”

Section: Dielectric Properties and Ac Conductivitymentioning

confidence: 99%

Analysis of X-ray structure, dielectric properties and AC conductivity of (4E)-2-amino-3-cyanobenzo[b]oxocin-6-one

Ali

Ibrahim

2016

Materials Science-Poland

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The crystal structure of (4E)-2-amino-3-cyanobenzo [b]oxocin-6-one, denoted as 4(E)-ACBO, was analyzed using X-ray diffraction technique. The dielectric and AC electrical conductivity measurements of the bulk 4(E)-ACBO in the form of pellet were studied in the range of frequency 42 Hz to 5 MHz and the temperature range of 303 K to 373 K. The temperature and frequency dependence of dielectric constant (ε 1 ), dielectric loss (ε 2 ) and AC electrical conductivity (σ AC ) were investigated. The relaxation time (τ) for electrons to hop over a barrier of height W H was calculated at different temperatures. The AC activation energy was determined from the temperature dependence of σ AC at different frequencies.

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“…It is a water-soluble polymer, with 1,3 glycol structure and a low electrical conductivity. Some PVA physical properties are resulting from crystal-amorphous interfacial effects [1][2][3]. Interestingly, the PVA properties can be simply modified through doping.…”

Section: Introductionmentioning

confidence: 99%

Photoluminescence investigations and thermal activation energy evaluation of Fe3+-doped PVA films

et al. 2015

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In this work, we study the inclusion mechanism of Fe 3? ions in a polyvinyl alcohol (PVA) matrix. Pure and Fe 3? -doped PVA films, using FeCl 3 solution, are prepared by a solution casting method. The effect of Fe 3? doping on the photoluminescence (PL) behavior of PVA is investigated in the temperature range from 10 to 300 K. The PL intensity is found to decrease as the temperature increases for the samples slightly doped. This behavior is attributed to the phonon diffusion by the photo-created electron-hole pairs. However, this behavior is completely inverted when the content of Fe 3? increases. The first author has already published a work discussing the possible explanations of such a behavior where the PL intensity increases with temperature. This paper is devoted to study the thermal activations energy and its variation with doping. Therefore, the PL integrated intensity as a function of 1/T is simulated by the Arrhenius model for the samples whose PL intensity decreases with temperature. However, for the other samples, a model of two activation energies is used. The gap energy values and the PL spectra of all samples at 300 K were used to justify the suggested transitions.

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Present stage of recent crustal movements and seismicity within Greater Cairo area, Egypt

Cited by 6 publications

References 8 publications

Identifying Exposure of Urban Area to Certain Seismic Hazard Using Machine Learning and GIS: A Case Study of Greater Cairo

Identifying Exposure of Urban Area to Certain Seismic Hazard Using Machine Learning and GIS: A Case Study of Greater Cairo

Analysis of X-ray structure, dielectric properties and AC conductivity of (4E)-2-amino-3-cyanobenzo[b]oxocin-6-one

Photoluminescence investigations and thermal activation energy evaluation of Fe3+-doped PVA films

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