Largest scale successful real-time evacuation after the Wenchuan earthquake in China: lessons learned from the Zengda gully giant debris flow disaster

This paper addresses a debris flow disaster in Yingxiu town after the Wenchuan earthquake. Through site investigation and data review, the geography and geological environment of the basin and the development, formation conditions and activity characteristics of the debris flow in the basin are analyzed. Calculate and analyze the characteristics of the debris flow, such as gravity, flow velocity and impact force. According to the management idea of combination of blocking and discharging, this paper proposes to arrange three blocking dams in the main ditch, construct drainage gullies in the downstream accumulation section, and prevent and control the aqueduct in the intersection of the main ditch and the G213 national road, which will be similar to the earthquake in the future. It is provided as a reference for research and prevention of the debris flow.

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Real-time observation of an active debris flow watershed in the Wenchuan Earthquake area

Geomorphology ◽

10.1016/j.geomorph.2018.08.024 ◽

2018 ◽

Vol 321 ◽

pp. 153-166 ◽

Cited By ~ 12

Author(s):

Peng Cui ◽

Xiaojun Guo ◽

Yan Yan ◽

Yong Li ◽

Yonggang Ge

Keyword(s):

Debris Flow ◽

Real Time ◽

Wenchuan Earthquake ◽

The Wenchuan Earthquake ◽

Time Observation ◽

Real Time Observation ◽

Earthquake Area

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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

10.1130/abs/2018am-323529 ◽

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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The Debris Flow Disaster Faster-Than-Early Forecast System (DFS) with Multi-Sensors Integrated Wireless Sensor Networks

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.347-350.975 ◽

2013 ◽

Vol 347-350 ◽

pp. 975-979

Author(s):

Rong Zhao ◽

Cai Hong Li ◽

Yun Jian Tan ◽

Jun Shi ◽

Fu Qiang Mu ◽

...

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Debris Flow ◽

Real Time ◽

Debris Flows ◽

Base Station ◽

Base Stations ◽

Wireless Sensor ◽

Forecast System ◽

Debris Flow Disaster

This paper presents a Debris Flow Disaster Faster-than-early Forecast System (DFS) with wireless sensor networks. Debris flows carrying saturated solid materials in water flowing downslope often cause severe damage to the lives and properties in their path. Faster-than-early or faster-than-real-time forecasts are imperative to save lives and reduce damage. This paper presents a novel multi-sensor networks for monitoring debris flows. The main idea is to let these sensors drift with the debris flow, to collect flow information as they move along, and to transmit the collected data to base stations in real time. The Raw data are sent to the cloud processing center from the base station. And the processed data and the video of the debris flow are display on the remote PC. The design of the system address many challenging issues, including cost, deployment efforts, and fast reaction.

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Application and analysis of debris-flow early warning system in Wenchuan earthquake-affected area

Natural Hazards and Earth System Science ◽

10.5194/nhess-16-483-2016 ◽

2016 ◽

Vol 16 (2) ◽

pp. 483-496 ◽

Cited By ~ 7

Author(s):

D. L. Liu ◽

S. J. Zhang ◽

H. J. Yang ◽

L. Q. Zhao ◽

Y. H. Jiang ◽

...

Keyword(s):

Debris Flow ◽

Wenchuan Earthquake ◽

Early Warning ◽

Early Warning System ◽

Prediction Accuracy ◽

Warning System ◽

Sichuan Province ◽

Affected Area ◽

The Wenchuan Earthquake ◽

New System

Abstract. The activities of debris flow (DF) in the Wenchuan earthquake-affected area significantly increased after the earthquake on 12 May 2008. The safety of the lives and property of local people is threatened by DFs. A physics-based early warning system (EWS) for DF forecasting was developed and applied in this earthquake area. This paper introduces an application of the system in the Wenchuan earthquake-affected area and analyzes the prediction results via a comparison to the DF events triggered by the strong rainfall events reported by the local government. The prediction accuracy and efficiency was first compared with a contribution-factor-based system currently used by the weather bureau of Sichuan province. The storm on 17 August 2012 was used as a case study for this comparison. The comparison shows that the false negative rate and false positive rate of the new system is, respectively, 19 and 21 % lower than the system based on the contribution factors. Consequently, the prediction accuracy is obviously higher than the system based on the contribution factors with a higher operational efficiency. On the invitation of the weather bureau of Sichuan province, the authors upgraded their prediction system of DF by using this new system before the monsoon of Wenchuan earthquake-affected area in 2013. Two prediction cases on 9 July 2013 and 10 July 2014 were chosen to further demonstrate that the new EWS has high stability, efficiency, and prediction accuracy.

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