Mapping of Areas Presenting Specific Risks to Firefighters Due to Buried Technical Networks

2020 ◽  
pp. 1-18
Author(s):  
Amélie Grangeat ◽  
Stéphane Raclot ◽  
Floriane Brill ◽  
Emmanuel Lapebie
Keyword(s):  
Emergency Response ◽  
High Voltage ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Point Of View ◽  
Vulnerability Mapping ◽  
Fire Brigade ◽  
Intervention Teams ◽  
Specific Risk

Vehicles or freight cars on fire below a bridge or inside a tunnel are exceptional events and imply difficult intervention conditions for firefighters. A buried technical network like high voltage electricity line, gas or steam pipeline around such a fire causes additional specifics risks. Vulnerability areas for firefighters are zones where both factors exist: a difficult incident area together with a specific risk like buried networks. They require intervention teams with specific emergency response capabilities. The paper proposes a method developed for the Paris Fire Brigade for vulnerability mapping. Results aim at improving the mobilization in allocating directly the specific responses capabilities intervention teams. Results are debated from an operational point of view. Cutting off several network lines during firefighters' interventions may strongly affect the society. In case of simultaneous incidents in vulnerable areas, firefighters could be an early warning system and inform authorities of the risk of services disruption.

Mapping of Areas Presenting Specific Risks to Firefighters Due to Buried Technical Networks

2016 ◽  
Vol 8 (3) ◽  
pp. 51-63
Author(s):  
Amélie Grangeat ◽  
Stéphane Raclot ◽  
Floriane Brill ◽  
Emmanuel Lapebie
Keyword(s):  
Emergency Response ◽  
High Voltage ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Point Of View ◽  
Vulnerability Mapping ◽  
Fire Brigade ◽  
Steam Pipeline ◽  
Intervention Teams

Vehicles or freight cars on fire below a bridge or inside a tunnel are exceptional events and imply difficult intervention conditions for firefighters. A buried technical network like high voltage electricity line, gas or steam pipeline around such a fire causes additional specifics risks. Vulnerability areas for firefighters are zones where both factors exist: a difficult incident area together with a specific risk like buried networks. They require intervention teams with specific emergency response capabilities. The paper proposes a method developed for the Paris Fire Brigade for vulnerability mapping. Results aim at improving the mobilization in allocating directly the specific responses capabilities intervention teams. Results are debated from an operational point of view. Cutting off several network lines during firefighters' interventions may strongly affect the society. In case of simultaneous incidents in vulnerable areas, firefighters could be an early warning system and inform authorities of the risk of services disruption.

scholarly journals URGENSI PENGELOLAAN KAWASAN KARST GOA PINDUL, KECAMATAN KARANGMOJO, GUNUNGKIDUL

2017 ◽  
Author(s):  
Ahmad Cahyadi ◽  
Slamet Suprayogi ◽  
Romza Fauzan Agniy
Keyword(s):  
Emergency Response ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Emergency Response System ◽  
Response System

Goa Pindul adalah salah satu wisata andalan di Kabupaten Gunungkidul, Daerah Istimewa Yogyakarta. Konflik sosial yang terjadi akibat koordinasi dan peran pemerintah yang masih minim menyebabkan situasi pariwisata yang kurang kondusif dalam pengembangan wisata yang berkelanjutan. Selain itu, karakteristik unik kawasan karst yang dipengaruhi oleh perkembangan pelorongan akibat proses pelarutan dan sistem allogenik mengharuskan pengelolaan yang berwawasan bencana dengan membuat sistem pemantauan banjir, early warning system dan emergency response system untuk pengurangan risiko bencana yang mungkin terjadi di Kawasan Wisata Goa Pindul.

scholarly journals Integrating earthquake early warning system and a smart robot for post-earthquake automated inspection and emergency response

2021 ◽  
Author(s):  
Tzu-Hsuan Lin ◽  
Jing-Ting Huang ◽  
Alan Putranto
Keyword(s):  
Emergency Response ◽  
Early Warning ◽  
Early Warning System ◽  
Human Life ◽  
Warning System ◽  
Integrated System ◽  
Earthquake Early Warning ◽  
Economic Losses ◽  
Automated Inspection ◽  
Earthquake Early Warning System

Abstract The natural hazard, mainly earthquake, has caused substantial economic losses and human life loss to many countries. Taiwan, which is located on the western Circum-Pacific seismic belt, has encountered the problem as mentioned earlier in Meishan, Hsinchu-Taichung, and Chi-Chi earthquakes a few years ago. In this study, the researchers propose a novel robot-event integrated system capable of doing the automated inspection and emergency response due to a significant earthquake. When the household’s earthquake warning receiving device picks up an alert, its built-in wireless communications system will send a signal to the robot. The robot commences inspection of the indoor area via real-time image recognition and tracking. It will approach them upon detecting fallen people, regulating their movements via a robot operating system (ROS) monitoring interface. The robot is designed to operate in a house that remains standing with acceptable damage in which the furniture might falling and injure the occupants after an earthquake hit. The indoor experiment conducted to verify the robot system and operation with a designed condition such as fallen and non-fallen people as a detected object. The robot tested to deliver food or medicine for fallen people while waiting for rescuers to arrive. Tests indicate that the proposed smart robot has prospective implementation to the real-world application with more research and development. The smart robot integrated with an earthquake early warning system has a promising approach to the temporary care of people affected by earthquakes.

Application of a dynamic terrestrial landslide early warning system in a wide high-voltage transmission line coverage area

2020 ◽  
Author(s):  
Shuhao Liu ◽  
Kunlong Yin ◽  
Yiyue Zhang ◽  
Ting Xiao ◽  
Wei Lin
Keyword(s):  
Transmission Line ◽  
High Voltage ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Landslide Risk ◽  
Coverage Area ◽  
High Voltage Transmission Line ◽  
Transmission Towers ◽  
High Voltage Transmission

<p>The power grid is one of the most important lifeline projects in modern society. However, the complex transmission network was fixed to the ground through millions of transmission towers, which were inevitably being affected by various types of geohazard. The failure of local facilities may further cause large-scale power outages, leading serious social impact and economic loss. From this perspective, this study aims to develop a territorial landslide early warning system (Te-LEWS) for the high-voltage transmission line coverage area by introducing a novel method, combining landslide inventory and susceptibility maps, rainfall thresholds and real time rainfall forecast, transmission tower vulnerability analysis and GIS-based dynamic alert system. To this objective, the power grid system consisting of over 130,000 high-voltage transmission towers and covering an area of 7 provinces in China was selected as study objective to conducted susceptibility mapping with different classification methods (information value, random forest and support vector). The rainfall threshold of each county was calculated through analyzing a 7 consecutive day rainfall data for the major historical landslide event. Instead of an ordinary landslide risk assessment practice within the transmission line coverage area, this study mainly focuses on the landslide risk over transmission towers and tries to generate an risk assessment result over a specific risk bearing element with linear distribution characteristic, in this case the electricity transmission lines. With real-time predicted rainfall value as input variable, a dynamic landslide warning system was established on a pixel basis, to identify the transmission towers that are potentially vulnerable to landslide disasters. The performance of the proposed Te-LEWS system were validated through the historical rainfall data and the landslides events from 2015-2019, to gain a comprehensive evaluation on its warning accuracy. Results suggest that the system has a high warning success rate and the false alarm was significantly reduced. In such case, the proposed To-LEWS would greatly support the grid authorities in reducing disaster risks and retrieving huge economic loss. The study shed a new light on the risk analysis method of a specific linear distributed risk bearing element towards geohazard, to demonstrate its potential over wide areas, an application to a huge area in China was shown and discussed.</p><p><strong>Keywords</strong>: Landslides; GIS; early warning system; disaster risk reduction; high-voltage transmission line</p>

Sign in / Sign up

Export Citation Format

Share Document