Discussion on Environmental Geological Problems in the Areas from Southwest China to Southeast Asia

Zhang, Yongshuang; Jia-gui, Zhang; Wei-zhi, Lei; Shi, Jiansheng; Wang, Xianli; Xiong, Tao

doi:10.1016/s1872-5791(08)60002-0

Cited by 23 publications

(6 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is located at the right bank of the Chongjiang River. Like many other ancient landslides in this region, it occurred near the junction of two branch faults of the Zhongdian active fault, a most favorable place for development of giant landslides (Martel 2004;Zhang et al 2007Zhang et al , 2011b. It mainly consists of Middle Triassic slate intercalated with limestone and green schist (T 2 a), Upper Permian meta-basalt and volcanic breccia intercalated with green schist (P 2 b).…”

Section: Geological Conditionsmentioning

confidence: 97%

Reactivation mechanism of ancient giant landslides in the tectonically active zone: a case study in Southwest China

et al. 2015

Self Cite

View full text Add to dashboard Cite

The reactivation mechanism and stability of ancient landslides are the major concerns in the tectonically active zone. A detailed case study has been conducted to examine the reactivation mechanism of ancient landslides in Southwest China by investigating the reactivation process, shear strength and stability. Field investigation suggests that the reactivation of ancient giant slides, such as the Luosiwan slide, is attributed to the cumulative effect of adverse geological, structural condition and intensive artificial processes. However, long-term observation has shown that the ancient giant landslides usually remain stable in the remote area in spite of such adverse conditions. Ring shear tests also indicate high peak shear strength of the sliding zone soils. However, the shear strength decreases significantly once displacement occurs at the toe of giant landslide due to engineering construction. The construction process could be considered as the critical triggering factor for the reactivation of ancient giant landslide, which exerts sudden changes in the forces acting on the slope. Both longterm adverse geological evolution and sudden change in the strength lead to the reactivation of giant landslide. This study also suggests that liquefaction plays an important role in the failure behavior of reactivated ancient landslide. An effective drainage system has to be set up during engineering construction so as to reduce the probability of reactivation of ancient landslides.

show abstract

Section: Geological Conditionsmentioning

confidence: 97%

Reactivation mechanism of ancient giant landslides in the tectonically active zone: a case study in Southwest China

et al. 2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…Because the weathering layer of metamorphic rock is rather thick in the GLGMs, the loss of tree cover can result in frequent landslides, rockfalls, and heavy debris flows following rains. Flooding causes additional soil erosion and damage to vegetation (Zhang et al, 2007; Yin Yang, Pers. observ.).…”

Section: Conservationmentioning

confidence: 99%

The 10th anniversary of the scientific description of the black snub‐nosed monkey (Rhinopithecus strykeri): It is time to initiate a set of new management strategies to save this critically endangered primate from extinction

Yang

Lin²,

Garber

et al. 2022

American J Primatol

View full text Add to dashboard Cite

Traditionally, the genus Rhinopithecus (Milne-Edwards, 1872, Primates, Colobinae) included four allopatric species, restricted in their distributions to China and Vietnam. In 2010, a fifth species, the black snub-nosed monkey (Rhinopithecus strykeri) was discovered in the Gaoligong Mountains located on the border between China and Myanmar.Despite the remoteness, complex mountainous terrain, dense fog, and armed conflict that characterizes this region, over this past decade Chinese and Myanmar scientists have begun to collect quantitative data on the ecology, behavior and conservation requirements of R. strykeri. In this article, we review the existing data and present new information on the life history, ecology, and population size of R. strykeri. We discuss these data in the context of past and current conservation challenges faced by R. strykeri, and propose a series of both short-term and long-term management actions to ensure the survival of this Critically Endangered primate species. Specifically, we recommend that the governments and stakeholders in China and Myanmar formulate a transboundary conservation agreement that includes a consensus on bilateral exchange mechanisms, scientific research and monitoring goals, local community development, cooperation to prevent the hunting of endangered species and cross-border forest fires. These actions

show abstract

“…plex risk assessments and accelerate findings (Ding and Tian, 2013). There is no unified criterion for disaster evaluation zoning, and the equal interval method is one of the methods to express the results more intuitively (Hu et al, 2011;Jin and Meng, 2011;Wang et al, 2011). The susceptibility and vulnerability degrees were distinguished using the equal interval method, and four risk grades were then automatically generated.…”

Section: Risk Assessment For Oil Pipeline In Landslide Areamentioning

confidence: 99%

Application of the Levenburg–Marquardt back propagation neural network approach for landslide risk assessments

Xiong

Sun

Zhang

et al. 2019

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Landslide disasters are one of the main risks involved with the operation of long-distance oil and gas pipelines. Because previously established disaster risk models are too subjective, this paper presents a quantitative model for regional risk assessment through an analysis of the patterns of historical landslide disasters along oil and gas pipelines. Using the Guangyuan section of the Lanzhou–Chengdu–Chongqing (LCC) long-distance multiproduct oil pipeline (82 km) in China as a case study, we successively carried out two independent assessments: a susceptibility assessment and a vulnerability assessment. We used an entropy weight method to establish a system for the vulnerability assessment, whereas a Levenberg–Marquardt back propagation (LM-BP) neural network model was used to conduct the susceptibility assessment. The risk assessment was carried out on the basis of two assessments. The first, the system of the vulnerability assessment, considered the pipeline position and the angle between the pipe and the landslide (pipeline laying environmental factors). We also used an interpolation theory to generate the standard sample matrix of the LM-BP neural network. Accordingly, a landslide susceptibility risk zoning map was obtained based on susceptibility and vulnerability assessment. The results show that about 70 % of the slopes were in high-susceptibility areas with a comparatively high landslide possibility and that the southern section of the oil pipeline in the study area was in danger. These results can be used as a guide for preventing and reducing regional hazards, establishing safe routes for both existing and new pipelines, and safely operating pipelines in the Guangyuan area and other segments of the LCC oil pipeline.

show abstract

Discussion on Environmental Geological Problems in the Areas from Southwest China to Southeast Asia

Cited by 23 publications

References 4 publications

Reactivation mechanism of ancient giant landslides in the tectonically active zone: a case study in Southwest China

Reactivation mechanism of ancient giant landslides in the tectonically active zone: a case study in Southwest China

The 10th anniversary of the scientific description of the black snub‐nosed monkey (Rhinopithecus strykeri): It is time to initiate a set of new management strategies to save this critically endangered primate from extinction

Application of the Levenburg–Marquardt back propagation neural network approach for landslide risk assessments

Contact Info

Product

Resources

About