This work presents the geomorphological features associated with the anthropic morphogenesis of the Bisagno Stream catchment, combined with the geo-hydrological hazards associated with landslides and floods. This catchment is internationally known for its recurring high-magnitude floods and its geo-hydrological hazards associated with the large and widespread presence of elements exposed at risks. It experienced severe morphological changes due to anthropogenic interventions related to urban sprawl and agriculture. Anthropogenic modifications to the former landscape have been particularly widespread and pervasive over the coastline, the floodplain, and the slopes. They include a general alteration of the pristine landforms, excavation and landfill forms, channelization and culvert of riverbeds, and terraced slopes. The 1:20,000 scale map allows to assess the relationships existing among structures and infrastructures, anthropogenic landforms, and landslides and flood-prone areas. Thus, this tool provides relevant information for land-use planning and land management, in particular under the perspective of geo-hydrological hazards mitigation.
In recent years, there has been growing interest in urban geomorphology both for its applications in terms of landscape planning, and its historical, cultural, and scientific interest. Due to recent urban growth, the identification of landforms in cities is difficult, particularly in Mediterranean and central European cities, characterized by more than 1000 years of urban stratification. By comparing and overlapping 19th-century cartography and modern topography from remote sensing data, this research aims to assess the morphological evolution of the city of Genoa (Liguria, NW Italy). The analysis focuses on a highly detailed 1:2’000 scale map produced by Eng. Ignazio Porro in the mid-19th century. The methodology, developed in QGIS, was applied on five case studies of both hillside and valley floor areas of the city of Genoa. Through map overlay and digitalization of elevation data and contour lines, it was possible to identify with great accuracy the most significant morphological transformations that have occurred in the city since the mid-19th century. In addition, the results were validated by direct observation and by drills data of the regional database. The results allowed the identification and quantification of the main anthropic landforms. The paper suggests that the same methodology can be applied to other historical urban contexts characterized by urban and architectural stratification.
Landslides are a major threat for population and urban areas. Persistent Scatterer Interferometry (PSI) is a powerful tool for identifying landslides and monitoring their evolution over long periods and has proven to be very useful especially in urban areas, where a sufficient number of PS can be generated. In this study, we applied PS interferometry to investigate the landslide affecting Santo Stefano d’Aveto (Liguria, NW Italy) by integrating classic interferometric techniques with cross-correlation analysis of PS time-series and with geological and geotechnical field information. We used open-source software and packages to process Synthetic Aperture Radar (SAR) images from the Copernicus Sentinel-1A satellite for both ascending and descending orbits over the period 2015–2021 and calculate both the vertical motion and the E-W horizontal displacement. By computing the cross-correlation of the PS time-series, we identified three families of PS with a similarity greater than 0.70. The cross-correlation analysis allowed subdividing the landslide in different sectors, each of which is characterized by a specific type of movement. The geological meaning of this subdivision is still a matter of discussion but it is presumably driven by the geomorphological setting of the area and by the regional tectonics.
Hydrogeological mapping is a key tool for groundwater resource management. Generally, hydrogeological maps focus mainly on porous or karst aquifer at large scale. In a fracturedrock aquifer, the groundwater flow path is not immediately deductible due to the intrinsic complexity of fracture systems. Then, it is of crucial importance collecting a complete dataset describing the site of interest: fault and strata patterns, geomorphological features, occurrence of springs. Here we present the hydrogeological map at 1:10,000 scale of the fractured rock aquifer of Conglomerate of Portofino (Italy). The graphical information contained in this map is based on the authors' field survey and the revision of papers written for academic purposes and technical reports. The aim of the research is to achieve a useful tool for land planning, conservation of groundwater resource and geo-hydrological risk reduction in the unique area of the Natural Park of Portofino.
Persistent Scatterer Interferometry (PSI) is one of the most powerful tools for identifying and monitoring areas exposed to surface deformations such as landslides or subsidence. In this work, we propose a new method that we named CAPS (Correlation Analysis on Persistent Scatterers), to extend the capability of PSI in recognizing and characterising areas influenced by complex ground deformations and differential motions. CAPS must be applied to both ascending and descending orbits separately and comprises three major steps: (i) calculating the cross-correlation matrix on detrended PS time-series; (ii) extracting PS pairs with similarity greater than a given threshold; (iii) grouping PS in families by sorting and classification. Thus, in both orbits, PS Families identify groups of PS with similar movements. This allows distinguishing sectors characterised by different displacements over time even in areas with similar LOS (Line of Sight) velocities. As test sites, we considered four different known geological scenarios: two representing landslide environments (Santo Stefano d’Aveto and Arzeno, both in Liguria, NW Italy) and two subsidence environments (Rome and Venice, urban and surrounding areas). This method proved to be versatile, applicable to different geological situations and at different scales of observation, for recognizing both regional and local differential deformations.
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