The development of mobile application for debris flow disaster prevention – the case of Kaohsiung City

2014 ◽  
pp. 593-598
Author(s):  
S Chang ◽  
M Wu
Keyword(s):  
Debris Flow ◽  
Mobile Application ◽  
Disaster Prevention ◽  
Debris Flow Disaster ◽  
Kaohsiung City

Deposition Prediction of Debris Flow Alluvial Fan Based on Experimental Study

2012 ◽  
Vol 518-523 ◽  
pp. 4819-4822
Author(s):  
Jin Feng Liu ◽  
Shun Yang ◽  
Guo Qiang Ou
Keyword(s):  
Experimental Study ◽  
Debris Flow ◽  
Statistical Method ◽  
Laboratory Experiments ◽  
Empirical Models ◽  
Alluvial Fan ◽  
Disaster Prevention ◽  
Average Accuracy ◽  
Hazardous Area ◽  
Debris Flow Disaster

The deposition prediction of debris flow hazardous area is very important for organizing and implementing debris flow disaster prevention and reduction. This paper selected the data base from laboratory experiments and applied the multiple regression statistical method to establish a series of empirical calculation models for delimiting the debris flow hazardous areas on the alluvial fan. The empirical models for predicting the maximum deposition length (Lc), the maximum deposition width (Bmax) and the maximum deposition thichness (Z0) under the condition of different debris flow volumes (V), densities (rm) and slopes of accumulation area (θd) were establised. And the verification results indicated that the established models can predict the debris flow hazards area with the average accuracy of 86%.

Risk Assessment of the Debris Flow Gully in Tibet Southeast

2015 ◽  
Vol 724 ◽  
pp. 347-352
Author(s):  
Jiang Xu ◽  
Qiang He ◽  
Pei Qing Wang ◽  
Lu Lu ◽  
Dong Dong Chen
Keyword(s):  
Risk Assessment ◽  
Debris Flow ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Disaster Prevention ◽  
Correlation Ratio ◽  
Human Engineering ◽  
The Core ◽  
Core Content ◽  
Debris Flow Disaster

Risk assessment of debris flow is the core content and decision-making basis for debris flow disaster forecasting and the disaster prevention work. It is a comprehensive analysis for the geological, climate, rainfall, historical disaster activities and human engineering activities in some certain areas which may be in danger conditions, so as to determine the occurrence probability of debris flow. In this study, risk assessment model of the debris flow gully in Tibet southeast area is established. According to the correlation ratio of risk assessment indexes and the debris flow occurrence, the assessment indexes can be divided into three levels and defined with some certain values according to the correlation of debris flow occurrence. Finally, the risk assessment of debris flow gully in Tibet southeast area is conducted, and model outputs achieve a good result.

scholarly journals Adaptive Construction of the Virtual Debris Flow Disaster Environments Driven by Multilevel Visualization Task

2019 ◽  
Vol 8 (5) ◽  
pp. 209 ◽  
Author(s):  
Yunhao Zhang ◽  
Jun Zhu ◽  
Weilian Li ◽  
Qing Zhu ◽  
Ya Hu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Debris Flow ◽  
Emergency Response ◽  
Dynamic Scheduling ◽  
Single Type ◽  
Prototype System ◽  
Disaster Prevention ◽  
On Demand ◽  
Task Requirements ◽  
Debris Flow Disaster

The construction of a virtual debris flow disaster environment is of great significance in debris flow disaster prevention, risk assessment, accurate simulation, and disaster emergency response. However, existing research on virtual disaster environments mainly focus on the specific visualization task requirements of single-type users, and the multilevel visualization task requirements of multitype users are generally not met. In this paper, an adaptive construction method for virtual debris flow disaster environments driven by multilevel visualization task is proposed based on the characteristics of users with different professional knowledge backgrounds and requirements in disaster emergency response scenarios. The on-demand construction of virtual debris flow disaster environments and the corresponding diverse organization and dynamic scheduling technologies are discussed in detail. Finally, the Qipan Gully debris flow disaster is selected for experimental analysis, and a prototype system is developed. The experimental results show that the proposed method can adaptively construct virtual debris flow disaster environments according to the multilevel visualization task requirements of multitype users in debris flow disaster emergency response scenarios. This approach can provide efficient rendering of disaster scenes and appropriate disaster information to multitype users who are involved in debris flow disaster emergency response scenarios.

scholarly journals ANALYSIS OF DEBRIS FLOW DISASTER DUE TO HEAVY RAIN BY X-BAND MP RADAR DATA

2016 ◽  
Vol XLI-B8 ◽  
pp. 125-132 ◽  
Author(s):  
M. Nishio ◽  
M. Mori
Keyword(s):  
Debris Flow ◽  
Meteorological Data ◽  
Mesh Size ◽  
Heavy Rain ◽  
Japan Meteorological Agency ◽  
Disaster Prevention ◽  
X Band ◽  
Accumulated Rainfall ◽  
Debris Flow Disaster ◽  
Hiroshima City

On August 20 of 2014, Hiroshima City (Japan) was struck by local heavy rain from an autumnal rain front. The resultant debris flow disaster claimed 75 victims and destroyed many buildings. From 1:30 am to 4:30 am on August 20, the accumulated rainfall in Hiroshima City exceeded 200 mm. Serious damage occurred in the Asakita and Asaminami wards of Hiroshima City. As a disaster prevention measure, local heavy rain (localized torrential rains) is usually observed by the Automated Meteorological Data Acquisition System (AMeDAS) operated by the Japan Meteorological Agency (JMA) and by the C-band radar operated by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) of Japan, with spatial resolutions of 2.5 km and 1 km, respectively. The new X-band MP radar system enables more detailed rainfall observations than the C-band radar. In fact, this radar can observe local rainfall throughout Japan in near-real time over a minimum mesh size of 250 m. A fine-scale accumulated rainfall monitoring system is crucial for disaster prevention, and potential disasters can be alerted by the hazard levels of the accumulated rainfall.

scholarly journals ANALYSIS OF DEBRIS FLOW DISASTER DUE TO HEAVY RAIN BY X-BAND MP RADAR DATA

2016 ◽  
Vol XLI-B8 ◽  
pp. 125-132
Author(s):  
M. Nishio ◽  
M. Mori
Keyword(s):  
Debris Flow ◽  
Meteorological Data ◽  
Mesh Size ◽  
Heavy Rain ◽  
Japan Meteorological Agency ◽  
Disaster Prevention ◽  
X Band ◽  
Accumulated Rainfall ◽  
Debris Flow Disaster ◽  
Hiroshima City

On August 20 of 2014, Hiroshima City (Japan) was struck by local heavy rain from an autumnal rain front. The resultant debris flow disaster claimed 75 victims and destroyed many buildings. From 1:30 am to 4:30 am on August 20, the accumulated rainfall in Hiroshima City exceeded 200 mm. Serious damage occurred in the Asakita and Asaminami wards of Hiroshima City. As a disaster prevention measure, local heavy rain (localized torrential rains) is usually observed by the Automated Meteorological Data Acquisition System (AMeDAS) operated by the Japan Meteorological Agency (JMA) and by the C-band radar operated by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) of Japan, with spatial resolutions of 2.5 km and 1 km, respectively. The new X-band MP radar system enables more detailed rainfall observations than the C-band radar. In fact, this radar can observe local rainfall throughout Japan in near-real time over a minimum mesh size of 250 m. A fine-scale accumulated rainfall monitoring system is crucial for disaster prevention, and potential disasters can be alerted by the hazard levels of the accumulated rainfall.

LEARNING TO ROLL WITH THE ONE-TWO PUNCH OF FIRE AND DEBRIS FLOW: LESSONS LEARNED FROM THE JANUARY 2018 DEBRIS-FLOW DISASTER IN MONTECITO, CA

2018 ◽  
Author(s):  
Jason W. Kean ◽  
◽  
Dennis M. Staley ◽  
Jeremy T. Lancaster ◽  
Francis K. Rengers ◽  
...  
Keyword(s):  
Debris Flow ◽  
Lessons Learned ◽  
The One ◽  
Debris Flow Disaster
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