Rainfall induced-landslides and man-made landforms mapping for underground utility networks management in a mediterranean metropolitan area (Genoa, Northwest Italy)

2020 ◽  
Author(s):  
Martino Terrone ◽  
Alessandra Marchese ◽  
Nicola Bazzurro ◽  
Francesco Faccini
Keyword(s):  
Metropolitan Area ◽  
Retaining Walls ◽  
Second Step ◽  
Structural Factors ◽  
Site Monitoring ◽  
Landslide Inventory Map ◽  
Inventory Map ◽  
Potential Failure ◽  
Preliminary Study ◽  
Ground Effects

<p>Extreme precipitation has become increasingly frequent in the last years in Liguria, a hilly and mountainous region in Nortwest Italy. In particular, the Genoa metropolitan area is internationally known for rainfall ground effects: from the beginning of this millennium four intense flash floods have been recorded and as many rainfall-induced landslide periods with significant impacts in roads, buildings and underground utility networks.</p><p>These phenomena are also related with more than a century of urbanization that has completely changed landforms and increased the vulnerability of the area.</p><p>The research consists of preliminary study based on the production of three different maps: Landslide inventory map, Landslide susceptibility zoning map and a preliminary Man-made landform map that could help to describe better the Urban Geomorphology of Genoa metropolitan area, characterized by isolated and spread houses laying on terraced slopes mixed with high density urban area with aged decametric retaining walls.</p><p>On site monitoring, satellite interferometric data and historical maps were used to support the production of cartography work.</p><p>In a second step, the above maps were associated with underground utility networks (water and energy) categorized by age, diameter and material to know the potential failure risks induced both by geomorphological and structural factors.</p><p>Thanks to this research underground assets management is expected to be more efficient, determining priorities for actions in areas with higher risk.</p>

scholarly journals Rapid mapping of landslides in the Western Ghats (India) triggered by 2018 extreme monsoon rainfall using a deep learning approach

Landslides ◽  
2021 ◽  
Author(s):  
Sansar Raj Meena ◽  
Omid Ghorbanzadeh ◽  
Cees J. van Westen ◽  
Thimmaiah Gudiyangada Nachappa ◽  
Thomas Blaschke ◽  
...  
Keyword(s):  
Deep Learning ◽  
Western Ghats ◽  
Auxiliary Information ◽  
Optical Data ◽  
Spectral Information ◽  
Topographic Slope ◽  
Western Ghats Of India ◽  
Landslide Inventory Map ◽  
Inventory Map ◽  
The Western Ghats

AbstractRainfall-induced landslide inventories can be compiled using remote sensing and topographical data, gathered using either traditional or semi-automatic supervised methods. In this study, we used the PlanetScope imagery and deep learning convolution neural networks (CNNs) to map the 2018 rainfall-induced landslides in the Kodagu district of Karnataka state in the Western Ghats of India. We used a fourfold cross-validation (CV) to select the training and testing data to remove any random results of the model. Topographic slope data was used as auxiliary information to increase the performance of the model. The resulting landslide inventory map, created using the slope data with the spectral information, reduces the false positives, which helps to distinguish the landslide areas from other similar features such as barren lands and riverbeds. However, while including the slope data did not increase the true positives, the overall accuracy was higher compared to using only spectral information to train the model. The mean accuracies of correctly classified landslide values were 65.5% when using only optical data, which increased to 78% with the use of slope data. The methodology presented in this research can be applied in other landslide-prone regions, and the results can be used to support hazard mitigation in landslide-prone regions.

Factors Contributing to Landslide Susceptibility of the Kope Formation, Cincinnati, Ohio

2021 ◽  
Author(s):  
Michael P. Glassmeyer ◽  
Abdul Shakoor
Keyword(s):  
Shear Strength ◽  
Landslide Susceptibility ◽  
Stream Water ◽  
Strength Parameters ◽  
Slake Durability Index ◽  
Landslide Inventory Map ◽  
Inventory Map ◽  
Colluvial Soil ◽  
Kope Formation ◽  
Representative Samples

ABSTRACT The objective of this study was to evaluate the factors that contribute to the high frequency of landslides in the Kope Formation and the overlying colluvial soil present in the Cincinnati area, southwestern Ohio. The Kope Formation consists of approximately 80 percent shale inter-bedded with 20 percent limestone. The colluvium that forms from the weathering of the shale bedrock consists of a low-plasticity clay. Based on field observations, LiDAR data, and information gathered from city and county agencies, we created a landslide inventory map for the Cincinnati area, identifying 842 landslides. From the inventory map, we selected 10 landslides that included seven rotational and three translational slides for detailed investigations. Representative samples were collected from the landslide sites for determining natural water content, Atterberg limits, grain size distribution, shear strength parameters, and slake durability index. For the translational landslides, strength parameters were determined along the contact between the bedrock and the overlying colluvium. The results of the study indicate that multiple factors contribute to landslide susceptibility of the Kope Formation and the overlying colluvium, including low shear strength of the colluvial soil, development of porewater pressure within the slope, human activity such as loading the top or cutting the toe of a slope, low to very low durability of the bedrock that allows rapid disintegration of the bedrock and accumulation of colluvial soil, undercutting of the slope toe by stream water, and steepness of the slopes.

scholarly journals Awareness of disease in dementia: Development of a multidimensional rating scale

2007 ◽  
Vol 1 (1) ◽  
pp. 74-80 ◽  
Author(s):  
Marcia Dourado ◽  
Valeska Marinho ◽  
Cláudia Soares ◽  
Eliasz Engelhardt ◽  
Jerson Laks
Keyword(s):  
Cognitive Deficits ◽  
Rating Scale ◽  
Age At Onset ◽  
Assessment Scale ◽  
Second Step ◽  
Review Of The Literature ◽  
The Third ◽  
Diagnosis Of Dementia ◽  
Preliminary Study ◽  
Affective Relations

Abstract Objective: To describe the development of the Assessment Scale of Psychosocial Impact of the Diagnosis of Dementia (ASPIDD), a multidimensional scale to evaluate awareness of disease in dementia. Method: The development of this scale was conducted in four steps. In step one, questions were drawn up after a review of the literature. The second step involved the suggestions offered by a neurologist regarding the skills considered important for the scale. The third step involved the re-writing and review of the domains and questions in the scale followed by a semantic evaluation performed by two independent psychiatrists. Step four consisted of the preliminary study aimed at evaluating the applicability of the ASPIDD. Results: In the semantic evaluation only minor changes were proposed. The preliminary sample had 52 patients, comprising 23 CDR 1 (male=9; female=14) and 29 CDR2 (male=13; female=16). Mean age of patients was 69.7±5.51 (CDR1) and 73.6±9.4 (CDR2), and age at onset was 66.4±5.7 years (CDR1) and 68.3±9.3 year (CDR2). Mean schooling was 9.0±4.3 years (CDR1) and 8.8±4.4 years (CDR2). Mean MMSE was 21.0±3.3 (CDR1) and 17.6±3.5 (CDR2). Mean Cornell was 4.8±2.3 (CDR1) and 4.2±1.9 (CDR2). The patient and caregiver dyads were aware of problems, mainly of those related to social, family and affective relations. The higher rates of discrepant responses were found on the awareness of cognitive deficits and changes in ADL. Conclusion: The ASPIDD is a multidimensional instrument to assess awareness of disease among AD patients.

scholarly journals Characteristic analysis of large-scale loess landslides: a case study in Baoji City of Loess Plateau of Northwest China

2011 ◽  
Vol 11 (7) ◽  
pp. 1829-1837 ◽  
Author(s):  
H. B. Wang ◽  
B. Zhou ◽  
S. R. Wu ◽  
J. S. Shi ◽  
B. Li
Keyword(s):  
Loess Plateau ◽  
Large Scale ◽  
Northwest China ◽  
Landslide Inventory ◽  
Small Scale ◽  
Land Utilization ◽  
Characteristic Analysis ◽  
Landslide Inventory Map ◽  
Loess Landslides ◽  
Inventory Map

Abstract. Landslides are one of the most common geologic hazards in the Loess Plateau of northwest China, especially with some of the highest landslide densities found in Shaanxi and adjacent provinces. Prior to assessing the landslide hazard, a detailed landslide inventory map is fundamental. This study documents the landslides on the northwest Loess Plateau with high accuracy using high-resolution Quickbird imagery for landslide inventory mapping in the Changshou valley of Baoji city. By far the majority of landslides are in loess, representing small-scale planar sliding. Most of the large-scale landslides involve loess and bedrock, and the failure planes occurred either along the contacts between fluvial deposits and Neogene argillites, or partially within the bedrock. In the sliding zones of a large scale landslide, linear striations and fractures of the soils were clearly developed, clay minerals were oriented in the same direction and microorganism growths were present. From the analysis of microstructure of sliding soils, it is concluded that the Zhuyuan landslide can be reactivated if either new or recurring water seepage is caused in the sliding surface. It can be concluded that most landslides are attributed to the undercutting of the slope associated with gullying, and numerous ancillary factors including bedrock-loess interface, slope steepness, vegetation cover and land utilization.

scholarly journals A geomorphological approach to the estimation of landslide hazards and risks in Umbria, Central Italy

2002 ◽  
Vol 2 (1/2) ◽  
pp. 57-72 ◽  
Author(s):  
M. Cardinali ◽  
P. Reichenbach ◽  
F. Guzzetti ◽  
F. Ardizzone ◽  
G. Antonini ◽  
...  
Keyword(s):  
Central Italy ◽  
Landslide Hazard ◽  
Aerial Photographs ◽  
Site Specific ◽  
Landslide Hazards ◽  
Umbria Region ◽  
Multi Temporal ◽  
Landslide Inventory Map ◽  
Hazard And Risk ◽  
Inventory Map

Abstract. We present a geomorphological method to evaluate landslide hazard and risk. The method is based on the recognition of existing and past landslides, on the scrutiny of the local geological and morphological setting, and on the study of site-specific and historical information on past landslide events. For each study area a multi-temporal landslide inventory map has been prepared through the interpretation of various sets of stereoscopic aerial photographs taken over the period 1941–1999, field mapping carried out in the years 2000 and 2001, and the critical review of site-specific investigations completed to solve local instability problems. The multi-temporal landslide map portrays the distribution of the existing and past landslides and their observed changes over a period of about 60 years. Changes in the distribution and pattern of landslides allow one to infer the possible evolution of slopes, the most probable type of failures, and their expected frequency of occurrence and intensity. This information is used to evaluate landslide hazard, and to estimate the associated risk. The methodology is not straightforward and requires experienced geomorphologists, trained in the recognition and analysis of slope processes. Levels of landslide hazard and risk are expressed using an index that conveys, in a simple and compact format, information on the landslide frequency, the landslide intensity, and the likely damage caused by the expected failure. The methodology was tested in 79 towns, villages, and individual dwellings in the Umbria Region of central Italy.

scholarly journals Landslide inventory map of the upper Sinni River valley, Southern Italy

2014 ◽  
Vol 11 (3) ◽  
pp. 444-453 ◽  
Author(s):  
Michele Santangelo ◽  
Dario Gioia ◽  
Mauro Cardinali ◽  
Fausto Guzzetti ◽  
Marcello Schiattarella
Keyword(s):  
Southern Italy ◽  
River Valley ◽  
Landslide Inventory ◽  
Landslide Inventory Map ◽  
Inventory Map

scholarly journals Loess Landslide Inventory Map Based on GF-1 Satellite Imagery

2017 ◽  
Vol 9 (4) ◽  
pp. 314 ◽  
Author(s):  
Wenyi Sun ◽  
Yuansheng Tian ◽  
Xingmin Mu ◽  
Jun Zhai ◽  
Peng Gao ◽  
...  
Keyword(s):  
Satellite Imagery ◽  
Landslide Inventory ◽  
Loess Landslide ◽  
Landslide Inventory Map ◽  
Inventory Map

Engineering-geological conditions of the formations in the Western Thessaly basin, Greece

2013 ◽  
Vol 5 (3) ◽  
Author(s):  
Emmanuel Apostolidis ◽  
George Koukis
Keyword(s):  
Land Use ◽  
Ground Water ◽  
Industrial Development ◽  
Entire Study ◽  
Geological Conditions ◽  
Landslide Inventory Map ◽  
Inventory Map ◽  
Geological Map ◽  
Geotechnical Information

AbstractAn engineering-geological map of the Western Thessaly basin has been compiled, providing a valuable guide to both urban planning and industrial development of the wider area. This map contributes significantly to the optimization of land use and improved planning of technical work. Additionally, the engineering-geological conditions of the formations encountered in the Western Thessaly basin are examined. The formations are grouped into thirteen (13) engineering-geological entities, with regard to their geotechnical behaviour. This entire study was based on both in situ investigations and geotechnical information extracted from 1,039 boreholes.Furthermore, a landslide inventory map of the Western Thessaly basin has been compiled. In addition, the surface subsidence ruptures, due to ground-water overexploitation, have been examined in the eastern part of the study area.

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