Geotechnical Engineering Control on the Scenic Area — Research on the Method for Geological Disasters-Rockfall, Landslide and Debris Flow in Laoshan District of Qingdao

2012 ◽  
Vol 594-597 ◽  
pp. 3072-3079
Author(s):  
Yong Wei Zhang ◽  
Shu Cai Li ◽  
Xu Guang Chen ◽  
Wei Xu
Keyword(s):  
Debris Flow ◽  
Ecological Environment ◽  
Mountain Area ◽  
Geological Disasters ◽  
Engineering Control ◽  
Starting Point ◽  
Control Pattern ◽  
Qingdao City ◽  
Disaster Control ◽  
Landslide Debris

Compare with the other area, the geo-disaster control in scenic area is of specific, for it has the functional properties of fill the need of tourist of people. So the starting point is to protect the Ecological environment of scenic area. Most of the Chinese scenic areas locate on the mountain area and gully etc, which is the area with much geo-disaster. The geo-disaster controls on the scenic area getting more and more attention. In order to carry on the corresponding research， the Laoshan area in Qingdao City is taken as the engineering background, the geo-disaster control pattern is explored. The Laoshan area suffered rockfall, landslide, debris flow sometimes. There were casualties and property damage. On the basis of reconnaissance and risk analysis of geological disasters, Geotechnical Engineer controlling for typical geological disasters-rockfall, landslide, debris flow can get rid of the potential geological disasters and protect people's lives and property in Laoshan District. The geo-disaster control pattern solved the hidden danger in Laoshan scenic area, and it provides some experience for the geo-disaster control of other scenic area.

An Analysis of Sustainable Development Based on a Comparison of the Pre- and Post-Disaster Biocapacity and Ecological Footprint in Zhouqu County,China

2011 ◽  
Vol 361-363 ◽  
pp. 663-670 ◽  
Author(s):  
Dong Xia Yue ◽  
Jia Jing Zhang ◽  
Jian Jun Guo ◽  
Jun Du ◽  
Jin Hui Ma ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Economic Development ◽  
Debris Flow ◽  
Ecological Footprint ◽  
Ecological Environment ◽  
Fishing Ground ◽  
Forest Land ◽  
Geological Disasters ◽  
Debris Flow Disaster ◽  
Post Disaster

Zhouqu County is not only an impoverished area but also a poor environment region. Frequent occurrence of geological disasters in Zhouqu, which largely determines the quality of ecological environment, affects the regional sustainable development. In this paper, on a case study of Chengguan Town of Zhouqu, two TM images acquired in pre- (2008)and post-disaster(2010) were selected to conduct the research, using remote sensing and GIS spatial analysis techniques. The state of the ecological environment and sustainable development of the region were evaluated by using the ecological footprint methodology. The results show: Firstly, the biocapacity of built-up area and cropland are reduced by 318.50gha and 82.78gha after debris flow disaster respectively, followed by forest land, grazing ground, fishing ground and barren ground, which has played a serious impediment in economic development; Secondly, the ecological deficit reaches to -0.9245gha/per-cap before disaster, however, it reduces to -1.0691gha/per-cap after disaster. This indicates that Chengguan Town is not sustainable development, after sudden disaster, the situation of unsustainable development becomes more serious; Thirdly, it is found that debris flow and landslides are mainly not only in forest land and cropland, also areas containing many people and buildings, which shows geological disasters has played a significant impact on the socio-economic development. Finally, this article provides scientific references for the restoring of ecological environment as well as scientific disaster relief after the debris flow disaster. Therefore, strengthening management and mitigation techniques of disaster is benefit to humans and socio-economic sustainable development.

scholarly journals Remote Sensing Investigation of Geological Hazards in Xingguo County, Jiangxi Province

2019 ◽  
Vol 131 ◽  
pp. 01056
Author(s):  
Min Yu ◽  
Jiangqin Chao
Keyword(s):  
Remote Sensing ◽  
Debris Flow ◽  
Jiangxi Province ◽  
Landsat 8 ◽  
Geological Environment ◽  
Geological Disasters ◽  
Work Area ◽  
Ground Collapse ◽  
Geological Disaster ◽  
Remote Sensing Interpretation

Xingguo County is located in the middle and low hilly mountainous areas. The area of the landslide, collapse and debris flow geological disasters is large. The sudden geological disasters such as landslides and mudslides caused by heavy rainfall are increasing year by year. This study mainly used high-altitude aerial imagery (0.5m) and Landsat 8 OLI satellite imagery covering Xingguo County as the data source, carried out remote sensing interpretation of geological environment background conditions and geological disasters in the whole area, and carried out on-site verification. At the same time, the correlation between the stratigraphic structure, topography and other factors in the study area and the spatial distribution characteristics of geological disaster points are discussed. The results show that: (1) based on remote sensing image interpretation of 377 geological disaster points; 83 landslide points, 229 hidden danger points, 17 collapse points, 26 hidden danger points, 1 hidden danger point, ground collapse point 1 At 20 places in the geological environment. (2) From the results of remote sensing interpretation, the types of geological disasters in the work area are mainly landslides and landslide hazards (including collapse type), and there are fewer collapses, collapses and debris flow hazards, and most landslide hazard points are unstable. (3) From the distribution of geological disasters, it is mainly within the scope of artificial influence. The construction of excavation slopes on the roads leads to instability of the slopes and induces disasters under the influence of rainfall. In addition, there are a large number of artificial mining mines in the work area. These places are also prone to geological disasters due to unreasonable mining and subsequent prevention and control work. (4) Areas with strong human activities, areas near the fault structure and water system roads are the main influencing factors for geological disasters in the work area.

Fuzzy comprehensive evaluation of debris flow in Matun village, Laomao Mountain area, Dalian city

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Shen Shiwei ◽  
Xie He’En ◽  
Xu Yan ◽  
Zhang Min ◽  
Niu Xiaobin ◽  
...  
Keyword(s):  
Debris Flow ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Mountain Area ◽  
Dalian City

scholarly journals Postseismic Restoration of the Ecological Environment in the Wenchuan Region Using Satellite Data

2018 ◽  
Vol 10 (11) ◽  
pp. 3990 ◽  
Author(s):  
Zhibin Huang ◽  
Min Xu ◽  
Wei Chen ◽  
Xiaojuan Lin ◽  
Chunxiang Cao ◽  
...  
Keyword(s):  
Remote Sensing Data ◽  
Radar Data ◽  
Ecological Environment ◽  
Mountain Area ◽  
State Response ◽  
Lancang River ◽  
Before And After ◽  
Gray Correlation ◽  
Geological Information ◽  
Pressure State

Using Landsat remote-sensing data combined with geological information extracted from ALOS and Sentinel-1A radar data, the ecological environment was evaluated in the years 2007, 2008, 2013, and 2017 through gray correlation analysis on the basis of the construction of the pressure-state-response model. The main objective of this research was to assess the ecological environment changes in Wenchuan County before and after the earthquake, and to provide reference for future social development and policy implementation. The grading map of the ecological environment was obtained for every year, and the ecological restoration status of Wenchuan County after the earthquake was evaluated. The results showed that the maximum area cover at a “safe” ecological level was over 46.4% in 2007. After the 2008 earthquake, the proportion of “unsafe” and “very unsafe” ecological levels was 40.0%, especially around the Lancang River and the western mountain area in Wenchuan County. After five years of restoration, ecological conditions were improved, up to 48.0% in the region. The areas at “critically safe” and above recovered to 85.5% in 2017 within nine years after the deadly Wenchuan earthquake of May 12, 2008. In this paper, we discuss the results of detailed analysis of ecological improvements and correlation with the degrees of pressure, state, and response layers of the Pressure-State-Response (PSR) model.

Finite Element Method Simulations to Study Factors Affecting Buried Pipeline Subjected to Debris Flow

2019 ◽  
Vol 141 (2) ◽  
Author(s):  
Wu Ying ◽  
Zha Sixi ◽  
Jin Pengwei
Keyword(s):  
Debris Flow ◽  
Multiple Regression ◽  
Great Influence ◽  
Impact Angle ◽  
Von Mises Stress ◽  
Finite Model ◽  
Buried Pipeline ◽  
Mountain Area ◽  
Corrosion Pit ◽  
The Impact

As the debris flow caused by sustained rainfall would cause destructive damage to buried pipeline, the safety of buried pipeline under impact of debris flow draws increasing attention. This paper focuses on the mechanical and deformed behavior of buried pipeline subjected to the debris flow. The effects of relevant parameters are investigated, including the velocity and impact angle of debris flow, massive stone, diameter to thickness ratio of pipeline (D/T), and parameters of corrosion pit (i.e., the depth, length, and width of corrosion pit). A finite model of soil and buried pipeline under the impact of debris flow is established. Multiple regression analysis is implemented to evaluate these influence parameters. The results show that: (1) the velocity and the impact angle of debris flow have a great influence on the pipeline; (2) the massive stone in the debris flow has little effect on the buried pipeline; (3) the internal pressure of the pipeline has an inhibitory effect on the deformation of the pipeline, which can enhance the ultimate bearing velocity of pipeline; (4) D/T determines the ultimate bearing velocity of pipeline. Moreover, the effects of the parameters of corrosion pit on the maximum von Mises stress are analyzed by multiple regression and ranked as follows: corrosion depth (A) > corrosion length (L) > corrosion width (B). The result may provide effective guidance for the prevention of pipeline against debris flow in mountain area.

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