scholarly journals Time response of a landslide to meteorological events

2006 ◽  
Vol 6 (2) ◽  
pp. 179-184 ◽  
Author(s):  
G. Lollino ◽  
M. Arattano ◽  
P. Allasia ◽  
D. Giordan

Abstract. A landslide affecting two small villages located on the Northwestern Italian Apennines has been investigated since the year 2000 through the use of different equipment. A complex monitoring system has been installed in the area. The system includes several inclinometers, piezometers and a raingauge. An Automatic Inclinometric System (AIS) has been also installed that automatically performs measurements, twice a day, along the entire length of a pipe that is 45 m deep. This monitoring system has been set up to identify a methodology that allowed to deal with landslides, trying to predict their behaviour beforehand for warning purposes. Previous researches carried out in the same area for a period of about 7 months, in the year 2000, have allowed to identify a correlation between deep slope movements and rainfalls. In particular, it has been possible to determine the time lag needed for a rainfall peak to produce a corresponding peak of the landslide movements; this time lag was of 9 days. This result was possible because the AIS allows to obtain, as mentioned, daily inclinometric measurements that can be correlated with the recorded rainfalls. In the present report we have extended the analysis of the correlation between deep slope movements and rainfalls to a greater period of observation (2 years) to verify over this period the consistency of the time lag mentioned above. The time lag previously found has been confirmed. We have also examined the possibility to extend to the entire landslide body the correlation that has been found locally, analyzing the results of the remaining inclinometric tubes with traditional reading installed on the landslide and comparing them with the results of the AIS. The output of the tubes equipped with piezometric cells has also been analyzed. The relations existing among rainfalls, ground water level oscillations and the related slope movements have been explored

Landslides ◽  
2021 ◽  
Author(s):  
Lorenzo Brezzi ◽  
Alberto Bisson ◽  
Davide Pasa ◽  
Simonetta Cola

AbstractA large number of landslides occur in North-Eastern Italy during every rainy period due to the particular hydrogeological conditions of this area. Even if there are no casualties, the economic losses are often significant, and municipalities frequently do not have sufficient financial resources to repair the damage and stabilize all the unstable slopes. In this regard, the research for more economically sustainable solutions is a crucial challenge. Floating composite anchors are an innovative and low-cost technique set up for slope stabilization: it consists in the use of passive sub-horizontal reinforcements, obtained by coupling a traditional self-drilling bar with some tendons cemented inside it. This work concerns the application of this technique according to the observational method described within the Italian and European technical codes and mainly recommended for the design of geotechnical works, especially when performed in highly uncertain site conditions. The observational method prescribes designing an intervention and, at the same time, using a monitoring system in order to correct and adapt the project during realization of the works on the basis of new data acquired while on site. The case study is the landslide of Cischele, a medium landslide which occurred in 2010 after an exceptional heavy rainy period. In 2015, some floating composite anchors were installed to slow down the movement, even if, due to a limited budget, they were not enough to ensure the complete stabilization of the slope. Thanks to a monitoring system installed in the meantime, it is now possible to have a comparison between the site conditions before and after the intervention. This allows the evaluation of benefits achieved with the reinforcements and, at the same time, the assessment of additional improvements. Two stabilization scenarios are studied through an FE model: the first includes the stabilization system built in 2015, while the second evaluates a new solution proposed to further increase the slope stability.


Author(s):  
Olena Parshyna ◽  
Yuriy Parshyn

Offenses have a negative impact on the socio-economic development of the country and make a threat to the security of the national economy. Systematic analysis of the offenses in the sphere of economic activity with the quantitative as-sessment of their reimbursement and identification of the main trends during the research has been carried out. The offenses in the field of economic activity are the object of the research. The research subjects are scientific, methodological and applied aspects of the offenses analysis in relation to the main types of economic activity in the national economy. It has been noted that the criminal situation in our country is characterized by increasing in the economic crimes. Economic crimes are becoming systematic and have organized character. The high level of correlation between the unemployment situation and the negative crimes trends has been discovered. Economic crimes include economic, political, legal, socio-psychological and organizational reasons and conditions. The complex monitoring system in order to solve problem of the combating economic crimes has been proposed. The effectiveness of such system can be achieved in two main ways. The first way concerns the development of measures that is aimed at the economic crimes preventing. Thus, we have the reduction of the crimes number. The second way involves the development of measures for the disclosure of the committed offenses of economic nature and the achievement of full reimbursement for the incurred losses. However, an important component of the complex system should be the ability to monitor, forecast and identify these sectors of the economy in which the possible offenses in the strategic foresight should be expected. The continuous monitoring with forecasting enables to develop and implement the appropriate preventive measures. Studies of the economic activities with their efficiency in the formation of GDP of Ukraine have been conducted. Dynamics of the committed offenses on the types of economic activity has been analyzed. The quantitative assessment of the material losses reimbursement of these offenses has been provided. The main causes of the committed offenses in the economic sectors have been considered. The national measures for the prevent economic crimes are: strengthening of the role and increasing of the trust to the government and its institutions; paradigm shift of the decision-making mechanism in the field of credit and financial system; development of the special mechanisms for preventing of the destabilizing tendencies both at the level of regional development and at the level of national economy. The complex monitoring system allows to identify sectors of the national economy in the aspect of strategic forecasting. Monitoring enables to develop the preventative measures which are aimed at the improving of the environment, creating of the preconditions for the economic growth and improving of the well-being of population.


Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4581 ◽  
Author(s):  
Komagata ◽  
Kakinuma ◽  
Ishikawa ◽  
Shinoda ◽  
Kobayashi

With the aging of society, the number of fall accidents has increased in hospitals and care facilities, and some accidents have happened around beds. To help prevent accidents, mats and clip sensors have been used in these facilities but they can be invasive, and their purpose may be misinterpreted. In recent years, research has been conducted using an infrared-image depth sensor as a bed-monitoring system for detecting a patient getting up, exiting the bed, and/or falling; however, some manual calibration was required initially to set up the sensor in each instance. We propose a bed-monitoring system that retains the infrared-image depth sensors but uses semi-automatic rather than manual calibration in each situation where it is applied. Our automated methods robustly calculate the bed region, surrounding floor, sensor location, and attitude, and can recognize the spatial position of the patient even when the sensor is attached but unconstrained. Also, we propose a means to reconfigure the spatial position considering occlusion by parts of the bed and also accounting for the gravity center of the patient’s body. Experimental results of multi-view calibration and motion simulation showed that our methods were effective for recognition of the spatial position of the patient.


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