scholarly journals Innovative Monitoring Tools and Early Warning Systems for Risk Management: A Case Study

Geosciences ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 62 ◽  
Author(s):  
Andrea Segalini ◽  
Andrea Carri ◽  
Alessandro Valletta ◽  
Maurizio Martino
Keyword(s):  
Monitoring System ◽  
Early Warning ◽  
Slope Failure ◽  
Central Italy ◽  
Early Warning Systems ◽  
Critical Event ◽  
Warning Systems ◽  
Automatic Data ◽  
Area Of Interest

During recent years, the availability of innovative monitoring instrumentation has been a fundamental component in the development of efficient and reliable early warning systems (EWS). In fact, the potential to achieve high sampling frequencies, together with automatic data transmission and elaboration are key features for a near-real time approach. This paper presents a case study located in Central Italy, where the realization of an important state route required a series of preliminary surveys. The monitoring system installed on site included manual inclinometers, automatic modular underground monitoring system (MUMS) inclinometers, piezometers, and geognostic surveys. In particular, data recorded by innovative instrumentation allowed for the detection of major slope displacements that ultimately led to the landslide collapse. The implementation of advanced tools, featuring remote and automatic procedures for data sampling and elaboration, played a key role in the critical event identification and prediction. In fact, thanks to displacement data recorded by the MUMS inclinometer, it was possible to forecast the slope failure that was later confirmed during the following site inspection. Additionally, a numerical analysis was performed to better understand the mechanical behavior of the slope, back-analyze the monitored event, and to assess the stability conditions of the area of interest.

Performance of Earthquake Early Warning Systems during the 2016–2017 Mw 5–6.5 Central Italy Sequence

2017 ◽  
Vol 89 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Gaetano Festa ◽  
Matteo Picozzi ◽  
Alessandro Caruso ◽  
Simona Colombelli ◽  
Marco Cattaneo ◽  
...  
Keyword(s):  
Early Warning ◽  
Central Italy ◽  
Early Warning Systems ◽  
Earthquake Early Warning ◽  
Warning Systems ◽  
Earthquake Early Warning Systems

scholarly journals Landslide early warning based on failure forecast models: the example of Mt. de La Saxe rockslide, northern Italy

2015 ◽  
Vol 3 (2) ◽  
pp. 1511-1525 ◽  
Author(s):  
A. Manconi ◽  
D. Giordan
Keyword(s):  
Early Warning ◽  
Early Warning Systems ◽  
Northern Italy ◽  
Warning Systems ◽  
Surface Displacements ◽  
Forecast Models ◽  
Landslide Early Warning ◽  
Critical Phases ◽  
Temporal Windows

Abstract. We investigate the use of landslide failure forecast models by exploiting near-real-time monitoring data. Starting from the inverse velocity theory, we analyze landslide surface displacements on different temporal windows, and apply straightforward statistical methods to obtain confidence intervals on the estimated time of failure. Here we describe the main concepts of our method, and show an example of application to a real emergency scenario, the La Saxe rockslide, Aosta Valley region, northern Italy. Based on the herein presented case study, we identify operational thresholds based on the reliability of the forecast models, in order to support the management of early warning systems in the most critical phases of the landslide emergency.

scholarly journals Brief communication: The role of geophysical imaging in local landslide early warning systems

2021 ◽  
Author(s):  
Jim Scott Whiteley ◽  
Arnaud Watlet ◽  
Jonathan Michael Kendall ◽  
Jonathan Edward Chambers
Keyword(s):  
Remote Sensing ◽  
Early Warning ◽  
Slope Failure ◽  
Time Lapse ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Geophysical Monitoring ◽  
Landslide Early Warning ◽  
Geophysical Imaging

Abstract. We summarise the contribution of geophysical imaging to local landslide early warning systems (LoLEWS), highlighting how LoLEWS design and monitoring components benefit from the enhanced spatial and temporal resolutions of time-lapse geophysical imaging. In addition, we discuss how with appropriate laboratory-based petrophysical transforms, these geophysical data can be crucial for future slope failure forecasting and modelling, linking other methods of remote sensing and intrusive monitoring across different scales. We conclude that in light of ever increasing spatiotemporal resolutions of data acquisition, geophysical monitoring should be a more widely considered technology in the toolbox of methods available to stakeholders operating LoLEWS.

scholarly journals Brief communication: The role of geophysical imaging in local landslide early warning systems

2021 ◽  
Vol 21 (12) ◽  
pp. 3863-3871
Author(s):  
Jim S. Whiteley ◽  
Arnaud Watlet ◽  
J. Michael Kendall ◽  
Jonathan E. Chambers
Keyword(s):  
Remote Sensing ◽  
Early Warning ◽  
Slope Failure ◽  
Time Lapse ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Geophysical Monitoring ◽  
Landslide Early Warning ◽  
Geophysical Imaging

Abstract. We summarise the contribution of geophysical imaging to local landslide early warning systems (LoLEWS), highlighting how the design and monitoring components of LoLEWS benefit from the enhanced spatial and temporal resolutions of time-lapse geophysical imaging. In addition, we discuss how with appropriate laboratory-based petrophysical transforms, geophysical data can be crucial for future slope failure forecasting and modelling, linking other methods of remote sensing and intrusive monitoring across different scales. We conclude that in light of ever-increasing spatiotemporal resolutions of data acquisition, geophysical monitoring should be a more widely considered technology in the toolbox of methods available to stakeholders operating LoLEWS.

scholarly journals Further reducing the rate of code blue calls through early warning systems and enabling technologies

2019 ◽  
Vol 33 (1) ◽  
pp. 30-33
Author(s):  
Mike Monteith
Keyword(s):  
Early Warning ◽  
Quality Care ◽  
Warning System ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Financial Health ◽  
Code Blue ◽  
Enabling Technologies ◽  
Positive Results

Hospitals are facing an unprecedented level of change—with pressure from the general public to provide high-quality care and retain top talent by preventing burnout. How can they provide better patient care without overwhelming clinicians with more connected devices, alarming systems, and analytics solutions? Some challenges do not just cause harm to patients but they have a major economic impact on the financial health of the hospital. One problem for many hospitals is the growing number of “code blue” calls that warn clinicians a patient is in cardiac arrest. In this case study, you will learn the impacts of introducing an early warning system and its enabling technologies on Hamilton Health Sciences and why the underlying technology helped to produce positive results.

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