https://rosa.uniroma1.it/rosa02/engineering_geology_environment/issue/feed Italian journal of engineering geology and environment 2022-08-08T10:09:44+00:00 Editorial Staff ijege@uniroma1.it Open Journal Systems <p>Italian journal of engineering geology and environment (IJEGE) is a six-montly peer-reviewed open access journal promoted by the <a href="https://www.ceri.uniroma1.it/" target="_blank" rel="noopener">Research center on Prediction, Prevention ad Control of Geological Risks (CERI)</a> of Sapienza Università di Roma and it is the official journal of the <a href="https://www.aigaa.org/" target="_blank" rel="noopener">Italian Association of Engineering Geology and Environment (AIGA)</a>. IJEGE publishes original papers concerning the numerous topics of environmental risks such as seismic risk, landslide risk, hydraulic and flood risk, groundwater resource management, soil and groundwater contamination, reclamation of contaminated land, applied geophysics, economic geology, land use, soil and rock characterization.<br />IJEGE is indexed both in Scopus and ESCI (Emerging sources citation index - Web of science).</p> https://rosa.uniroma1.it/rosa02/engineering_geology_environment/article/view/1402 Twenty years after 2022-08-08T09:40:06+00:00 Gabriele Scarascia Mugnozza gabriele.scarasciamugnozza@uniroma1.it 2022-07-26T00:00:00+00:00 Copyright (c) 2022 Gabriele Scarascia Mugnozza https://rosa.uniroma1.it/rosa02/engineering_geology_environment/article/view/1403 Evolution, forecasting and managment of siltation in Algerian dams 2022-08-08T09:41:36+00:00 Adel Khentouche badel.khentouche@gmail.com Nassim Bella nassimbella@yahoo.fr <p>The aim of this study was to improve the sedimentation estimates and to know the evolution of the siltation of 8 Algerian dams according to a semi-quantitative approach which takes into account the comparison of the bathymetric surveys and the calculations carried out by empirical formulas widely used in Algeria (F. Orth). The initial capacity of the 8 considered reservoirs was 906 Mm3, it was reduced to 675.14 Mm3 in 1986 about 524.5 Mm3 in 2010, It is noticed a decrease of 370.5 Mm3 or 58.6% between the initial capacity and the last bathymetric survey in 2010. The average annual siltation is clearly varied according to the following phases:<br>- a weak alluvial phase had started with the impoundment until 1986 and showed less than 0.50 Mm3 of silt;<br>- an average alluvial phase extends between 1986 and 2004 and presents values varying between 0.50 Mm3 and 0.60 Mm3;<br>- a high alluvial phase spread between 2004 and 2010, it gives considerable volumes which annually exceeds 0.60 Mm3.<br>On the other hand, F. Orth model gives results close and comparable to those obtained by bathymetric surveys for most dams, which qualifies the application of this model in similar conditions in the absence of gauging stations.</p> 2022-07-26T00:00:00+00:00 Copyright (c) 2022 Adel Khentouche, Nassim Bella https://rosa.uniroma1.it/rosa02/engineering_geology_environment/article/view/1404 Engineering Geological Factors Affecting Loess Caves Susceptibility Mapping in Gorgan plain, Golestan province, northeastern Iran 2022-08-08T09:51:09+00:00 Seddighe Zalaghaie ijege@uniroma1.it Mojtaba Heidari moj.heidari@basu.ac.ir Mohammad Reza Nikudel ijege@uniroma1.it Bahman Saedi ijege@uniroma1.it <p>Loess cave is one of the geological hazards in the Loess Plateau of northeast Iran, in the Gorgan plain. In total, 697 caves were mapped, and an inventory map was prepared. Due to the importance of geo-environmental and soil properties in the development of loess caves, six independent variables, including joint density, land use, soil type, collapse sensitivity, self-weight collapse coefficient, and surface water distance, were designed for modeling the caves susceptibility in the GIS software. Loess cave susceptibility maps were constructed using Density Area (DA), Information Value (IF), and Frequency Ratio (FR) methods in a GIS environment. Loess cave susceptibility map obtained from three models was compared using Relative Operating Characteristic (ROC) and Area Under Curve (AUC). The area under the curve analysis was used to evaluate model compatibility and predictability. The equal interval classification method classified the study area into five ordinal categories, i.e., very low, low, moderate, high, and very high. AUC of the IF model was 0.727. The values of AUC for DR and the FR models were similar and equal to 0.725. Therefore, the loess cave susceptibility maps of Golestan Province is valuable for decision-maker in loess cave-prone area.</p> 2022-08-08T00:00:00+00:00 Copyright (c) 2022 Seddighe Zalaghaie, Mojtaba Heidari, Mohammad Reza Nikudel, Bahman Saedi https://rosa.uniroma1.it/rosa02/engineering_geology_environment/article/view/1405 Seawater intrusion vulnerability assessment by Galdit method in the Metaponto coastal aquifer (Basilicata, Italy) 2022-08-08T10:09:44+00:00 Rosalba Muzzillo ijege@uniroma1.it Filomena Canora filomena.canora@unibas.it Maurizio Polemio m.polemio@ba.irpi.cnr.it Francesco Sdao francesco.sdao@unibas.it <p>The groundwater vulnerability assessment to seawater intrusion (SWI), applying the GIS-based overlay-index GALDIT method, is provided for the Metaponto coastal aquifer (Basilicata region, southern Italy). The method is based on six conditioning parameters: groundwater occurrence (G), aquifer hydraulic conductivity (A), groundwater level (L), distance from the shore (D), impact of the existing status of SWI (I), and aquifer thickness (T). Three vulnerability classes were detected: low, moderate, and high, covering 70.40%, 22.65%, and 6.95% of the study area, respectively. The highest class is located close to the coastal sector due to the proximity to the sea, the greater thickness of the aquifer, and the shallow freshwater-seawater interface. To evaluate the sensitivity of the method on the predictive analysis and the influence of the single parameter and weight on the final vulnerability, the sensitivity analysis was carried out. The single-parameter analysis indicated that the factors such as groundwater table above sea level (a.s.l.), aquifer type, and impact of SWI have the greatest influence on the vulnerability. The application leads to the vulnerability mapping to SWI in the coastal plain that results to be a promising tool for decision-making finalized to properly manage groundwater.</p> 2022-07-26T00:00:00+00:00 Copyright (c) 2022 Rosalba Muzzillo, Filomena Canora, Maurizio Polemio, Francesco Sdao