Landslide-dammed lake at Tangjiashan, Sichuan province, China (triggered by the Wenchuan Earthquake, May 12, 2008): risk assessment, mitigation strategy, and lessons learned

2010 ◽  
Vol 65 (4) ◽  
pp. 1055-1065 ◽  
Author(s):  
Peng Cui ◽  
Chao Dang ◽  
Jian-qi Zhuang ◽  
Yong You ◽  
Xiao-qing Chen ◽  
...  
2012 ◽  
Vol 446-449 ◽  
pp. 2988-2991
Author(s):  
Ji Hua Chen ◽  
Hui Ge Wu ◽  
Hai Hui Zhou ◽  
Hai Liang Zhang

The terrain of Chunyashu gully in Dujiangyan city of Sichuan province was steep, plenty of loose material increased after the Wenchuan earthquake. Debris flows were triggered in September 2008 and August 2009, and the debris flow was a serious threat to the highway and the residents. Risk of Chunyashu gully debris flow had been analyzed by the latest assessment method, and the result was that the risk degree of this gully was middle. Finally according to the local situation the control measure of interception dam and other advices had been suggested to protect the safety of the residents.


2016 ◽  
Vol 16 (2) ◽  
pp. 483-496 ◽  
Author(s):  
D. L. Liu ◽  
S. J. Zhang ◽  
H. J. Yang ◽  
L. Q. Zhao ◽  
Y. H. Jiang ◽  
...  

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.


2014 ◽  
Vol 619-620 ◽  
pp. 58-69 ◽  
Author(s):  
Dongliang Liu ◽  
Haibing Li ◽  
Teh-Quei Lee ◽  
Yu-Min Chou ◽  
Sheng-Rong Song ◽  
...  

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