Development of a remotely controlled debris flow monitoring system in the Dolomites (Acquabona, Italy)

2003 ◽  
Vol 17 (9) ◽  
pp. 1771-1784 ◽  
Author(s):  
Pia R. Tecca ◽  
Antonio Galgaro ◽  
Rinaldo Genevois ◽  
Andrea M. Deganutti
Keyword(s):  
Debris Flow ◽  
Monitoring System ◽  
Flow Monitoring

scholarly journals An Efficient In-Situ Debris Flow Monitoring System over a Wireless Accelerometer Network

2019 ◽  
Vol 11 (13) ◽  
pp. 1512 ◽  
Author(s):  
Jiaxing Ye ◽  
Yuichi Kurashima ◽  
Takeshi Kobayashi ◽  
Hiroshi Tsuda ◽  
Teruyoshi Takahara ◽  
...  
Keyword(s):  
Machine Learning ◽  
Debris Flow ◽  
Monitoring System ◽  
In Situ Monitoring ◽  
Machine Learning Techniques ◽  
Mountainous Area ◽  
Accelerometer Sensor ◽  
Flow Monitoring ◽  
Wireless Accelerometer

Debris flow disasters pose a serious threat to public safety in many areas all over the world, and it may cause severe consequences, including losses, injuries, and fatalities. With the emergence of deep learning and increased computation powers, nowadays, machine learning methods are being broadly acknowledged as a feasible solution to tackle the massive data generated from geo-informatics and sensing platforms to distill adequate information in the context of disaster monitoring. Aiming at detection of debris flow occurrences in a mountainous area of Sakurajima, Japan, this study demonstrates an efficient in-situ monitoring system which employs state-of-the-art machine learning techniques to exploit continuous monitoring data collected by a wireless accelerometer sensor network. Concretely, a two-stage data analysis process had been adopted, which consists of anomaly detection and debris flow event identification. The system had been validated with real data and generated favorable detection precision. Compared to other debris flow monitoring system, the proposed solution renders a batch of substantive merits, such as low-cost, high accuracy, and fewer maintenance efforts. Moreover, the presented data investigation scheme can be readily extended to deal with multi-modal data for more accurate debris monitoring, and we expect to expend addition sensory measurements shortly.

A SOA based debris flow monitoring system

2009 ◽  
Author(s):  
Lan-Kun Chung ◽  
Yao-Min Fang ◽  
Yin-Huei Chang ◽  
Tien-Yin Chou ◽  
B.J. Lee ◽  
...  
Keyword(s):  
Debris Flow ◽  
Monitoring System ◽  
Flow Monitoring

A debris flow monitoring system by means of fiber optic interferometers

2007 ◽  
Author(s):  
Yung-Li Lin ◽  
Ken-Huang Lin ◽  
Wuu-Wen Lin ◽  
Mao-Hsiung Chen
Keyword(s):  
Debris Flow ◽  
Monitoring System ◽  
Fiber Optic ◽  
Flow Monitoring

Debris flow monitoring system and observed event in Taiwan: A case study at Aiyuzi River

2007 ◽  
Vol 12 (4) ◽  
pp. 610-618 ◽  
Author(s):  
Taichung Hsiao ◽  
Bingjean Lee ◽  
Tienyin Chou ◽  
Huipain Lien ◽  
Yinghuei Chang
Keyword(s):  
Debris Flow ◽  
Monitoring System ◽  
Flow Monitoring

Design of an IoT-based water flow monitoring system

2020 ◽  
Author(s):  
Zill Ullah Khan ◽  
M Umair Anwar ◽  
Sabah Pirani ◽  
Faisal Lalani ◽  
Babatunde Adegoke ◽  
...  
Keyword(s):  
Monitoring System ◽  
Water Flow ◽  
Flow Monitoring

scholarly journals Development and Preliminary Tests of a Low-Power Automatic Monitoring System for Flexible Debris Flow Barriers

2021 ◽  
Vol 55 ◽  
pp. 1783-1790
Author(s):  
Roberto Savi ◽  
Alessandro Valletta ◽  
Andrea Carri ◽  
Edoardo Cavalca ◽  
Andrea Segalini
Keyword(s):  
Debris Flow ◽  
Low Power ◽  
Monitoring System ◽  
Automatic Monitoring ◽  
Automatic Monitoring System

scholarly journals Analysis of debris-flow recordings in an instrumented basin: confirmations and new findings

2012 ◽  
Vol 12 (3) ◽  
pp. 679-686 ◽  
Author(s):  
M. Arattano ◽  
L. Marchi ◽  
M. Cavalli
Keyword(s):  
Debris Flow ◽  
Alluvial Fan ◽  
Seismic Network ◽  
Low Flow ◽  
Main Peak ◽  
Flow Monitoring ◽  
Irregular Pattern ◽  
New Findings ◽  
Seismic Recording ◽  
Seismic Networks

Abstract. On 24 August 2006, a debris flow took place in the Moscardo Torrent, a basin of the Eastern Italian Alps instrumented for debris-flow monitoring. The debris flow was recorded by two seismic networks located in the lower part of the basin and on the alluvial fan, respectively. The event was also recorded by a pair of ultrasonic sensors installed on the fan, close to the lower seismic network. The comparison between the different recordings outlines particular features of the August 2006 debris flow, different from that of events recorded in previous years. A typical debris-flow wave was observed at the upper seismic network, with a main front abruptly appearing in the torrent, followed by a gradual decrease of flow height. On the contrary, on the alluvial fan the wave displayed an irregular pattern, with low flow depth and the main peak occurring in the central part of the surge both in the seismic recording and in the hydrographs. Recorded data and field evidences indicate that the surge observed on the alluvial fan was not a debris flow, and probably consisted in a water surge laden with fine to medium-sized sediment. The change in shape and characteristics of the wave can be ascribed to the attenuation of the surge caused by the torrent control works implemented in the lower basin during the last years.

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