Risk assessment of debris flow in Yushu seismic area in China:  a perspective for the reconstruction

Lan, Haiqiang; Li, Langping; Ys, Zhang; Gao, Xing; Hj, Liu

doi:10.5194/nhess-13-2957-2013

Cited by 26 publications

(7 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 1990 avalanche happened in Nilgris in which 30 individuals died and a few harmed the "landslide" made substantial misfortune correspondence systems. In 1991-1992 two "landslide" happened in Assam and again in Nilgris in which 300 individuals died and serious harm to streets and structures in the joined loss of Nilgris and Assam the assessed misfortune is of 5 million [20] .…”

Section: Literature Reviewmentioning

confidence: 99%

Debris Flow Hazard Assessment in District Chitral, Eastern Hindu Kush, Pakistan

Mahmood

Atiq

2022

prev. and treat. of nat. n.a.

View full text Add to dashboard Cite

The aim of this study is debris flow risk zonation using geological and hydrometeorological indicators in district Chitral, Hindu Kush Region Northwest Pakistan. The research is based on secondary data. Multi criteria Analysis (MCA) in Geographical Information System (GIS) environment was used to achieve the objective of the study. The geological and hydrometeorological parameters were analyzed by making five classes of each parameter. The classes are ranked as most favorable and least favorable with numerical weights. The weights were assigned in accordance to their importance in debris flow occurrence. Then weighted overlay analysis techniques were applied to develop composite map representing the importance of each factor. Debris flow risk zonation map was resulted into four classes very high risk zones, high risk zone, moderate zone, low risk zone. The geology of the study area is diverse with frequents earthquakes. Similarly the forest cover is decreasing due to anthropogenic activities. The area is also characterized by long cold winters with frost action. These factors are destabilizing the slope. During summer season rain storm event results high surface runoff and peak discharge in the perennial and non-perennial channels which results flood and debris flow. These events result human life loss and disruption. The main villages located in very high risk zone are Mulkoh, Mastuj, Reshun, Shegram, Terich Gol, Rogar, Asurat, Boni, Brep and Rech Tockhow. They have been frequently affected by hazard in the past decade. Out of the total area, very high risk zone is expanded over 8%, high risk zone is expanded over16%, moderate risk zone is 29% and the rest is low risk zone. This study has highlighted the risk zones which will help disaster management authorities and policy makers to reduce the risk of debris flow in future.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Debris Flow Hazard Assessment in District Chitral, Eastern Hindu Kush, Pakistan

Mahmood

Atiq

2022

prev. and treat. of nat. n.a.

View full text Add to dashboard Cite

show abstract

“…Among these secondary geological disasters, landslide is one of the most developed disasters along the active fault zone. In the last century, landslides triggered by earthquakes have claimed hundreds of thousands of lives and caused huge economic losses (Schuster and Alford, 2004;Dunning et al, 2007;Yin, 2008;Huang, 2009;Lan et al, 2013;Xu et al, 2014;Xu et al, 2018;Sidorin, 2020;Wang et al, 2020;Qiu et al, 2024).…”

Section: Introductionmentioning

confidence: 99%

Landslide hazard assessment of the fault zone considering the fault effect: a case study of the Lixian–Luojiabu fault zone in Gansu Province (China)

Feng,

Tang,

et al. 2024

Front. Earth Sci.

View full text Add to dashboard Cite

The earthquake landslide hazard assessment method is mainly based on the traditional Newmark model. However, when the landslide hazard assessment is carried out along the fault zone, the calculated results are often different from the actual situation because the influence of fault effect is not fully considered. Therefore, how to construct a landslide hazard assessment model suitable for the fault zone is a technical problem to be solved by researchers. Taking the Lixian–Luojiabu fault zone in Gansu Province in China as the study area, this paper put forward the concept of fault effect correction coefficient exploringly, systematically studied the relative distance relationship between the landslide and fault zone, and the relative position relationship between landslide and upper and lower sides of the fault zone. The value table of the fault effect correction coefficient along the Lixian–Luojiabu fault zone was established, and the corresponding distribution map of the fault effect correction coefficient was drawn. Based on this, an improved Newmark model for the landslide hazard assessment along the fault zone was constructed. On the basis of systematic analysis of the slope and engineering geological rock group in the study area, the traditional Newmark model and improved Newmark model considering fault effects were used, respectively, to carry out the earthquake landslide hazard assessment under the condition of 10% exceeding probability in 50 years, and the ROC curve and Kappa coefficient methods were used to compare and analyze the evaluation results. The results showed that the AUC value and Kappa coefficient of the danger area obtained by the improved model with the Newmark model were 0.841 and 0.822, respectively, which were significantly higher than the calculated values of the traditional Newmark model, indicating that the model had a good improvement effect. The Newmark improved model, considering the fault effect, fully considered the influence of distance from the fault zone and fault upper and lower side effects, and the research results can provide a new reference for the landslide hazard assessment along the fault zone.

show abstract

“…In this global overview, China has positioned itself with a number of studies based on specific test sites for landslides (Sui et al, 2020), debris flows (Lan et al, 2013) and floods (Li et al, 2016). However, the need for a consistent HMP risk assessment at the national scale has long been discussed.…”

Section: Introductionmentioning

confidence: 99%

Impact-based probabilistic modeling of hydro-morphological processes in China (1985-2015)

Wang¹,

Cheng²,

Zhang³

et al. 2022

Preprint

View full text Add to dashboard Cite

Hydro-morphological processes (HMP, any natural phenomenon contained within the spectrum defined between debris flows and flash floods) pose a relevant threat to infrastructure, urban and rural settlements and to lives in general. This has been widely observed in recent years and will likely become worse as climate change will influence the spatio-temporal pattern of precipitation events. The modelling of where HMP-driven hazards may occur can help define the appropriate course of actions before and during a crisis, reducing the potential losses that HMPs cause in their wake. However, the probabilistic information on locations prone to experience a given hazard is not sufficient to depict the risk our society may incur. To cover this aspect, modeling the loss information could open up to better territorial management strategies.In this work, we made use of the HMP catalogue of China. This catalogue reports reliable records from 1985 to 2015 across the whole Chinese territory. Specifically, we implemented the Light Gradient Boosting (LGB) classifier to model the impact level that locations across China have suffered from HMPs over the thirty-year record. In doing so, we estimated spatial probabilities of certain HMP impact, something that has yet to be tested in the natural hazard community, especially over such a large spatio-temporal domain.This experiment follows a project launched by the Chinese government with the aim of improving national efforts against climate change and improving societal resilience to disastrous events. In this context, the good predictive performance our model produced suggest that the cartographic output could be useful to inform authorities of locations prone to human and infrastructural losses of specific magnitudes.

show abstract

Risk assessment of debris flow in Yushu seismic area in China: a perspective for the reconstruction

Cited by 26 publications

References 16 publications

Debris Flow Hazard Assessment in District Chitral, Eastern Hindu Kush, Pakistan

Debris Flow Hazard Assessment in District Chitral, Eastern Hindu Kush, Pakistan

Landslide hazard assessment of the fault zone considering the fault effect: a case study of the Lixian–Luojiabu fault zone in Gansu Province (China)

Impact-based probabilistic modeling of hydro-morphological processes in China (1985-2015)

Contact Info

Product

Resources

About