Integrated monitoring network for the hazard assessment of slow-moving landslides at Moio della Civitella (Italy)

2015 ◽  
Vol 35 ◽  
pp. 109-112 ◽  
Author(s):  
Diego Di Martire ◽  
Massimo Ramondini ◽  
Domenico Calcaterra
Keyword(s):  
Hazard Assessment ◽  
Monitoring Network ◽  
Integrated Monitoring ◽  
Slow Moving

scholarly journals Integration of Satellite Interferometric Data in Civil Protection Strategies for Landslide Studies at a Regional Scale

2021 ◽  
Vol 13 (10) ◽  
pp. 1881
Author(s):  
Silvia Bianchini ◽  
Lorenzo Solari ◽  
Davide Bertolo ◽  
Patrick Thuegaz ◽  
Filippo Catani
Keyword(s):  
Temporal Frequency ◽  
Regional Scale ◽  
Monitoring Network ◽  
Mitigation Strategies ◽  
Satellite Monitoring ◽  
Preliminary Evaluation ◽  
Civil Protection ◽  
Integrated Monitoring ◽  
Great Opportunity ◽  
Slow Moving

Multi-Temporal Satellite Interferometry (MTInSAR) is gradually evolving from being a tool developed by the scientific community exclusively for research purposes to a real operational technique that can meet the needs of different users involved in geohazard mitigation. This work aims at showing the innovative operational use of satellite radar interferometric products in Civil Protection Authority (CPA) practices for monitoring slow-moving landslides. We present the example of the successful ongoing monitoring system in the Valle D’Aosta Region (VAR-Northern Italy). This system exploits well-combined MTInSAR products and ground-based instruments for landslide management and mitigation strategies over the whole regional territory. Due to the critical intrinsic constraints of MTInSAR data, a robust regional satellite monitoring integrated into CPA practices requires the support of both in situ measurements and remotely sensed systems to guarantee the completeness and reliability of information. The monitoring network comprises three levels of analysis: Knowledge monitoring, Control monitoring, and Emergency monitoring. At the first monitoring level, MTInSAR data are used for the preliminary evaluation of the deformation scenario at a regional scale. At the second monitoring level, MTInSAR products support the prompt detection of trend variations of radar benchmarks displacements with bi-weekly temporal frequency to identify active critical situations where follow-up studies must be carried out. In the third monitoring level, MTInSAR data integrated with ground-based data are exploited to confirm active slow-moving deformations detected by on-site instruments. At this level, MTInSAR data are also used to carry out back analysis that cannot be performed by any other tool. From the example of the Valle D’Aosta Region integrated monitoring network, which is one of the few examples of this kind around Europe, it is evident that MTInSAR provides a great opportunity to improve monitoring capabilities within CPA activities.

DEVELOPMENT OF INTEGRATED MONITORING NETWORK FOR MEASURING SALINITY OF SEA WATER

2018 ◽  
pp. 18-26
Author(s):  
Sima Ajdar qizi Askerova
Keyword(s):  
Surface Waters ◽  
Sea Water ◽  
Water Environment ◽  
Monitoring Network ◽  
Monitoring Networks ◽  
The Caspian Sea ◽  
Integrated Monitoring ◽  
Ecological Control ◽  
Different Depths ◽  
Optimal Construction

Monitoring of sea water condition is one of major requirements for carrying out the reliable ecological control of water environment. Monitoring networks contain such elements as sea buoys, beacons, etc. and are designated for measuringvarious hydrophysical parameters, including salinity of sea water. Development of specialized network and a separate buoy system for measuring thesea water salinity at different depths makes it possible to determine major regularities of processes of pollution and self-recovery of the sea waters. The article describes the scientific and methodological basics for development of this specialized network and questions of its optimal construction. It is well-known that at a depth of 30-45 m of the Caspian Sea salinity decreases and then at a depth of 45-60 m salinity is fully recovered. The mentioned changes of salinity at the relatively upper layer of sea waters is of special interest for studying the effect of ocean-going processes on the climate forming in the Caspian area. In terms of informativeness of measurements of surface waters salinity, the most informative is a layer ata 30-60 m depth, where inversion and recovery of salinity take place. It is shown that in most informative subrange of measurements, i. e. at a depth of 30-60 m optimization of regime of measurements complex should be carried out in order to increase the effectiveness of held researches. It is shown that at a depth of 35-50 m choice of the optimum regime of measurements makes it possible to obtain the maximum amount of information.

scholarly journals Improving long-term coral reef monitoring in the Wider Caribbean region: Global Coral Reef Monitoring Network - Caribbean accomplishments

2018 ◽  
Author(s):  
Lucie Labbouz ◽  
Maria Pena
Keyword(s):  
Coral Reef ◽  
Dynamic Network ◽  
Monitoring Network ◽  
Steering Committee ◽  
Human Dimensions ◽  
Caribbean Region ◽  
Special Focus ◽  
Integrated Monitoring ◽  
Reef Monitoring

Long-term, robust coral reef monitoring coupled with strategic reporting are essential drivers for ecosystem-based management and regional policy processes. Since the restructuring of the Caribbean component of the Global Coral Reef Monitoring Network (GCRMN) in August 2014, the GCRMN-Caribbean has been bolstering its presence and regional acknowledgement as a dynamic network. An expert steering committee and members-at-large have enabled the network to achieve substantial progress. GCRMN-Caribbean bio-physical guidelines have been improved and tested at several sites; communication and experience sharing have increased considerably; capacity building actions have been implemented for coral reef practitioners with a special focus on MPA managers; and there has been collaboration with major Caribbean programmes. This paper reports on the progress of the GCRMN-Caribbean in 2017: the development of socio-economic guidelines for an integrated monitoring approach, the implementation of building capacity projects “for coral reef and human dimensions monitoring within the Wider Caribbean", within a workshop-based training program to increase regional capacity for integrated bio-physical and socio-economic monitoring. Besides its achievements for the year, this paper also reports on GCRMN-Caribbean network challenges and next steps, including development of a standardized data analysis and reporting in 2018 and participation in the International Year of the Reef.

scholarly journals Pseudoprospective Evaluation of the Foreshock Traffic-Light System in Ridgecrest and Implications for Aftershock Hazard Assessment

2020 ◽  
Vol 91 (5) ◽  
pp. 2828-2842 ◽  
Author(s):  
Laura Gulia ◽  
Stefan Wiemer ◽  
Gianfranco Vannucci
Keyword(s):  
Real Time ◽  
Hazard Assessment ◽  
Monitoring Network ◽  
B Value ◽  
Traffic Light ◽  
B Values ◽  
Background Value ◽  
Light System ◽  
Aftershock Sequences ◽  
Aftershock Hazard

Abstract The Mw 7.1 Ridgecrest earthquake sequence in California in July 2019 offered an opportunity to evaluate in near-real time the temporal and spatial variations in the average earthquake size distribution (the b-value) and the performance of the newly introduced foreshock traffic-light system. In normally decaying aftershock sequences, in the past studies, the b-value of the aftershocks was found, on average, to be 10%–30% higher than the background b-value. A drop of 10% or more in “aftershock” b-values was postulated to indicate that the region is still highly stressed and that a subsequent larger event is likely. In this Ridgecrest case study, after analyzing the magnitude of completeness of the sequences, we find that the quality of the monitoring network is excellent, which allows us to determine reliable b-values over a large range of magnitudes within hours of the two mainshocks. We then find that in the hours after the first Mw 6.4 Ridgecrest event, the b-value drops by 23% on average, compared to the background value, triggering a red foreshock traffic light. Spatially mapping the changes in b values, we identify an area to the north of the rupture plane as the most likely location of a subsequent event. After the second, magnitude 7.1 mainshock, which did occur in that location as anticipated, the b-value increased by 26% over the background value, triggering a green traffic light. Finally, comparing the 2019 sequence with the Mw 5.8 sequence in 1995, in which no mainshock followed, we find a b-value increase of 29% after the mainshock. Our results suggest that the real-time monitoring of b-values is feasible in California and may add important information for aftershock hazard assessment.

scholarly journals Improving long-term coral reef monitoring in the Wider Caribbean region: Global Coral Reef Monitoring Network - Caribbean accomplishments

2018 ◽  
Author(s):  
Lucie Labbouz ◽  
Maria Pena
Keyword(s):  
Coral Reef ◽  
Dynamic Network ◽  
Monitoring Network ◽  
Steering Committee ◽  
Human Dimensions ◽  
Caribbean Region ◽  
Special Focus ◽  
Integrated Monitoring ◽  
Reef Monitoring

Long-term, robust coral reef monitoring coupled with strategic reporting are essential drivers for ecosystem-based management and regional policy processes. Since the restructuring of the Caribbean component of the Global Coral Reef Monitoring Network (GCRMN) in August 2014, the GCRMN-Caribbean has been bolstering its presence and regional acknowledgement as a dynamic network. An expert steering committee and members-at-large have enabled the network to achieve substantial progress. GCRMN-Caribbean bio-physical guidelines have been improved and tested at several sites; communication and experience sharing have increased considerably; capacity building actions have been implemented for coral reef practitioners with a special focus on MPA managers; and there has been collaboration with major Caribbean programmes. This paper reports on the progress of the GCRMN-Caribbean in 2017: the development of socio-economic guidelines for an integrated monitoring approach, the implementation of building capacity projects “for coral reef and human dimensions monitoring within the Wider Caribbean", within a workshop-based training program to increase regional capacity for integrated bio-physical and socio-economic monitoring. Besides its achievements for the year, this paper also reports on GCRMN-Caribbean network challenges and next steps, including development of a standardized data analysis and reporting in 2018 and participation in the International Year of the Reef.

Landslide Activity and Integrated Monitoring Network: The Greci Slope (Lago, Calabria, Italy)

2015 ◽  
pp. 1065-1068 ◽  
Author(s):  
Stefano Calcaterra ◽  
Piera Gambino ◽  
Luigi Borrelli ◽  
Francesco Muto ◽  
Giovanni Gullà
Keyword(s):  
Monitoring Network ◽  
Integrated Monitoring ◽  
Landslide Activity

Non-tectonic seismological events in Greenland - Cryo-generated events and landslides

2020 ◽  
Author(s):  
Trine Dahl-Jensen ◽  
Tine B. Larsen ◽  
Peter H. Voss
Keyword(s):  
Hazard Assessment ◽  
Ice Sheet ◽  
Greenland Ice Sheet ◽  
Monitoring Network ◽  
Seismic Signals ◽  
West Greenland ◽  
Remote Areas ◽  
Tectonic Events ◽  
Tectonic Earthquakes ◽  
Moderate Magnitude

<p>Following the large June 17 2017 landslide in Karrat Isfjord, Central West Greenland the necessity to differentiate between different kinds of seismological events has become relevant for hazard assessment. Greenland is the origin of a many different kinds of seismic signals.  In addition to the than a thousand small to moderate magnitude tectonic earthquakes, most of them ranging between ML 1.0 and 3.0 are located along the coasts of Greenland every year, many other non-tectonic events are located. This is largely possible thanks to the data collected and distributed by the Greenland Ice Sheet Monitoring Network (GLISN) federation and its members (glisn.info). The non-tectonic events include cryo-generated events, and signals from landslides as for example illustrated by the globally seen seismological signal from the Karrat 2017 landslide. It is possible to separate tectonic events from non-tectonic events, based on the characteristics of the seismological signal alone, but the signals from cryo-generated events and landslides have many similar features. In the Karrat Isfjord area, several large glaciers terminate in the sea where for example calving generate seismological events. With poor location resolution due to large station spacing in the remote areas of Greenland, the differences in the seismological signals are important to determine the cause of the events.</p>

scholarly journals Development of seismicity and probabilistic hazard assessment for the Groningen gas field

2017 ◽  
Vol 96 (5) ◽  
pp. s235-s245 ◽  
Author(s):  
Bernard Dost ◽  
Elmer Ruigrok ◽  
Jesper Spetzler
Keyword(s):  
Hazard Assessment ◽  
Monitoring Network ◽  
Seismic Hazard Assessment ◽  
Velocity Model ◽  
Probabilistic Seismic Hazard Assessment ◽  
Gas Field ◽  
Ground Motion Model ◽  
Methods Of Calculation ◽  
Source Models ◽  
Groningen Gas Field

AbstractThe increase in number and strength of shallow induced seismicity connected to the Groningen gas field since 2003 and the occurrence of a ML 3.6 event in 2012 started the development of a full probabilistic seismic hazard assessment (PSHA) for Groningen, required by the regulator. Densification of the monitoring network resulted in a decrease of the location threshold and magnitude of completeness down to ~ ML=0.5. Combined with a detailed local velocity model, epicentre accuracy could be reduced from 0.5–1km to 0.1–0.3km and a vertical resolution ~0.3km. Time-dependent seismic activity is observed and taken into account into PSHA calculations. Development of the Ground Motion Model for Groningen resulted in a significant reduction of the hazard. Comparison of different implementations of the PSHA, using different source models, based on either a compaction model and production scenarios or on extrapolation of past seismicity, and methods of calculation, shows similar results.

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