Identification and characterization of rockfalls using seismic signals, LiDAR, and imagery. Advances on real-time detection

Author(s):  
Bixen Telletxea ◽  
Mar Tapia ◽  
Marta Guinau ◽  
Manuel J. Royán ◽  
Pere Roig Lafon ◽  
...  

<p>Seismic sensors installed in areas prone to rockfalls provide a continuous record of the phenomenon, allowing real-time detection and characterization. Detection of small scale rockfalls (< 0.001 m<sup>3</sup>), that might be precursors of larger events, can be worthwhile for early warning systems of rockfalls. However, seismic signals are closely dependent on the characteristics of the event and on the geotechnical characteristics of the ground, making the detection of small rockfalls complex and requiring detailed in-situ analyzes. For this reason, an experiment was carried out on the UB experimental site (Puigcercós Cliff, Catalonia, NE Spain) on 6<sup>th</sup>-7<sup>th</sup> of June 2013, where 21 rocks with volumes ranging from 0.0015 m<sup>3</sup> to 0.0004 m<sup>3</sup> were thrown from the top of the cliff (200 m long and 27 m high) and the seismic signals were registered with three 3D short period seismic sensors located at different distances from the rock wall: 57 m, 67 m, and 107 m.</p><p>The recorded seismic signals have a frequency content between 10-30 Hz, and the duration of the peak amplitudes varied between 0.3 and 0.6 s. Based on these characteristics, different phases of the dynamics of the rockfalls were identified, including main impacts, rebounds, flights, rolling and final stop of the events. The furthest station recorded the lowest frequency and amplitude values, limiting our ability to detect those blocks smaller than 0.0015 m<sup>3</sup>. Comparing the results with the nearest station, seismic attenuation phenomena is detectable even at distances of 50 m.</p><p>After the experiment, a permanent seismic station was installed in the area, at 107 m from the cliff. Using LiDAR and 2D imagery monitoring, two naturally triggered rockfalls were identified on 30<sup>th</sup> and 31<sup>st</sup> August 2017 (0.28 m<sup>3</sup> and 0.25 m<sup>3</sup> respectively). Based on the results from the experiment and an automatic detection system, these main events and prior minor events have been found in the continuous seismic records of this permanent station. The characteristics of these natural detachments differ partially from the artificially triggered rockfalls during the experiment, since the geometry of the seismic signals is different. The observed shapes of the natural detachments are similar to that of granular flows, much more continuous than the sharp shapes that were observed in the isolated blocks of the experiment. This shows the possibility of incorporating seismic stations for the automatic detection and initial characterization of rockfalls and its effectiveness in detecting frequencies of occurrence.</p><p>In order to evaluate the possibility of estimating rockfall volumes, diverse energy ratios (<em>E<sub>s</sub>/E<sub>p</sub></em>) were calculated. However, precise volume estimation is not possible. Nevertheless, the combination of seismic data with LiDAR and photographic techniques allows accurate new volume calculations of rockfalls to be incorporated progressively into the study of rockfalls.</p><p>ACKNOWLEDGMENTS: The authors would like to acknowledge the financial support from CHARMA (CGL2013-40828-R) and PROMONTEC (CGL2017-84720-R AEI/FEDER, UE) projects, Spanish MINEICO. We are also thankful to Origens UNESCO Global Geopark.</p>

2002 ◽  
Vol 01 (05n06) ◽  
pp. 663-666
Author(s):  
DO-KYUN KIM ◽  
YOUNG-SOO KWON ◽  
EIICHI TAMIYA

In this research, we report the characterization of the probe and target oligonucleotide hybridization reaction using the evanescent field microscopy. For detection of DNA hybridization assay, a high-density array of sensor probes were prepared by randomly distributing a mixture of particles immobilized with oligonucleotides for DNA chip applications. With the evanescent field excitation and real-time detection method, we suggest that a very sharp discrimination of bulk fluorescence against surface excitation in combination with high excitation intensities can be achieved.


2016 ◽  
Vol 43 (13) ◽  
pp. 6960-6967 ◽  
Author(s):  
Andrea Manconi ◽  
Matteo Picozzi ◽  
Velio Coviello ◽  
Francesca De Santis ◽  
Luca Elia

2021 ◽  
Vol 133 (1021) ◽  
pp. 034503
Author(s):  
Chung-Kai Huang ◽  
Matthew J. Lehner ◽  
Agueda Paula Granados Contreras ◽  
Joel H. Castro-Chacón ◽  
Wen-Ping Chen ◽  
...  

2021 ◽  
Author(s):  
Ivonne Martínez Valdés ◽  
Víctor Hugo Márquez Ramírez ◽  
Lucia Capra ◽  
Velio Coviello ◽  
Raúl Arámbula Mendoza

<p> <span>Rainfall-induced lahars are one of the most common phenomena in tropical volcanoes. Volcán de Colima (VdC) is the most active volcano in Mexico regarding intra-eruptive lahar generation. Lahars represent one of the main hazards for local communities located within a radius of 15 km from the summit. <span>D</span>uring the rainy season, from May to October dozens of lahars occur in the different ravines draining the VdC. Since 2007, lahar monitoring is performed for both research and civil purposes. Rain gauges, seismic sensors, cameras, and infrasound sensors are part of the current monitoring system deployed at Montegrande ravine (MR) which is located in the southern flank of the volcano. Here we present the data collected during the 2018 monitoring season that are composed of seventeen flow events, six of which feature the most complete dataset ever collected at MR. Data are recorded with multiple stations including broad-band seismic sensors (120 s), geophones (4.5 Hz), short-period seismometers (1 Hz) and a video camera installed along a 1.5 km channel reach. Three types of lahars have been classified based on the join-analysis of seismic signals and video images of these latter six events: dry front, diluted and multi-front. These classes are related to the solid-liquid composition and dynamics of the flows, and to the rainfall amount possibly triggering the processes. A linear discriminant analysis (LDA) is proposed to classify the rest of the events using seismic and rainfall records. Preliminary results show how the flow velocity and the presence of coarse fronts, inferred by means of cross-correlation method and inspection of the video images respectively, are the first factors controlling the characteristics of the seismic signals. This work also demonstrate how seismic techniques represent a valuable tool to describe the remarkable variability of flow dynamics along the travel path.</span></p><p> </p>


2013 ◽  
Vol 333-335 ◽  
pp. 1793-1796
Author(s):  
Jian Qiu Chen

The system monitors seismic responses of isolated structure and non-isolated structure in WenChuan with earthquake, and compared with them. The system of seismic sensors collected seismic signals to the FPGA chip, and FPGA transmits the signal to the real-time controller through the internal bus after filtering. The real-time controller monitors signals and triggers the storage, at the same time the controller will transmit data to the host computer through the Ethernet, and the PC as the local server, which can be accessed real-time by remote computers. A plurality of acquisition station support multiple acquisition station synchronization acquisition using the GPS trigger synchronization.


2018 ◽  
Vol 10 (4) ◽  
pp. 2022-2032 ◽  
Author(s):  
S. E. Calhoun ◽  
C. J. Meunier ◽  
C. A. Lee ◽  
G. S. McCarty ◽  
L. A. Sombers

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