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IJEGE 20 - Volume 01

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IJEGE 20 - Volume 01
The Covid-19 pandemic has disrupted our lives and our socio-economic system, and it has confronted policy-makers with painstaking choices and actions on the global, European, and national scale. It has perhaps been the worst “black swan” that we could fear in terms of global impact on our risk society. As with all the big crises that have occurred in the history of the world, Covid-19 has elicited profound critical reflections on the dominant socio-economic models, but these reflections go well beyond
IJEGE 20 - Volume 01
This paper presents a detailed study about the seismic pattern of Zarand County in Kerman province that is an area with a high risk of earthquakes in Iran. The population of the Zarand County is about 120000. There are numerous active faults in the region and the area has been hit by several strong earthquakes, two of which were most deadly during the last half-century.In this research, the seismotectonics and seismic hazard was evaluated by probabilistic and analytical methods in 1:100000 scale geologica
IJEGE 20 - Volume 01
This research aims at analyzing the frequency and duration distribution of extreme floods, including flash, in the Wala catchment - Central Jordan. The observed daily flows series, October 2002 to August 2016, was short to characterize extreme events like the 10th of November 2018 deadly flash flood. Therefore, a very long series of intermittent daily flows was synthesized assuming that the daily flow-nonflow process is stationary two-state simple Markov and the daily flow magnitude is Gamma distributed. T
IJEGE 20 - Volume 01
The High Basento River Valley, located in the centralwestern sector of the Basilicata region (southern Italy), is a productive carbonate hydrostructure of the Lucanian Apennines, which represents a strategic water resource for drinking purposes. Huge discharges, quantified at about 10 Mm3/y, flow from several exploited springs afferent to the groundwater system, many other springs are not picked up, even if characterized by a considerable amount of water. The aim of this study was to improve the understand
IJEGE 20 - Volume 01
Landslides are the most active process of soil erosion and landscape evolution; it is controlled by a set of non-linear factors. Therefore, a large amount of spatial data must be considered and analyzed in order to achieve some degree of prediction about it. Landslide susceptibility assessment (LSA) is carried out using various statistical modeling techniques among which figures the logistic regression (LR) and the Frequency Ratio (FR) models. This work allowed producing landslide susceptibility maps (LSMs)
IJEGE 20 - Volume 01
The present work, realized in the framework of a research project funded by the Vietnamese Space Science & Technology Program, shows the first insights of remote monitoring at the Nam Dan landslide (Northern Vietnam). The Terrestrial SAR Interferometry (TInSAR) technique was used for the first time in the Country. The activities were performed in Nam Dan village, where an active landslide with several geomorphological evidences as open cracks and scarps, severely damaged dwellings and public assets
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