帳號:guest(13.59.188.225)          離開系統
字體大小: 字級放大   字級縮小   預設字形  

詳目顯示

以作者查詢圖書館館藏以作者查詢臺灣博碩士論文系統以作者查詢全國書目勘誤回報
作者:Akhmad Zamroni
作者(英文):Akhmad Zamroni
論文名稱:Landslide investigation by using geoelectrical resistivity in Taipingshan, Yilan County, Taiwan
論文名稱(英文):Landslide investigation by using geoelectrical resistivity in Taipingshan, Yilan County, Taiwan
指導教授:張文彥
指導教授(英文):Wen-Yen Chang
口試委員:陳建志
郭俊翔
張文彥
口試委員(英文):Chien-Chih Chen
Chun-Hsiang Kuo
Wen-Yen Chang
學位類別:碩士
校院名稱:國立東華大學
系所名稱:自然資源與環境學系
學號:610454052
出版年(民國):107
畢業學年度:106
語文別:英文
論文頁數:93
關鍵詞:rainfallresistivity imagesliding surfacefracture zones
關鍵詞(英文):rainfallresistivity imagesliding surfacefracture zones
相關次數:
  • 推薦推薦:0
  • 點閱點閱:31
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:18
  • 收藏收藏:0
Rainfall is a key factor of landslides on steep slopes. Geoelectrical resistivity can produce a two-dimension (2D) resistivity image supported by drilling data and previous geological profile to analyze profile in the subsurface. Reconstruction of subsurface profile showed a depth of potential mass wasting in the landslide area. Kinds of material derived are colluvium at a depth of 0 – 10 m, weathered rock (slate) at a depth of 10 – 29 m, and bedrock (slate) at a depth of 29 – 100 m. The position of sliding surface was located between the weathered rock (slate) and bedrock (slate) at a depth of around 29 m. The sliding surface was obtained from two materials with contrasting resistivity values. So, the thickness of potential mass wasting is around 29 m.

A landslide in Taipingshan was caused by Typhoon Saola in 2012, when rainfall was >1800 mm for three days. It is very important to monitor the area because Taipingshan is a National Forest Recreation Area. Geoelectrical resistivity with dipole-dipole and Schlumberger configurations permanently monitor this landslide prone area. Rainfall data for 42 days were used to determine geoelectrical resistivity response towards rainfall. The 2D resistivity image showed significant dynamic changes between dry and wet conditions. Resistivity value in the dry condition or there is low rainfall was around 70 Ωm. Resistivity value in wet condition was around 24 – 70 Ωm. Changes in resistivity occurred in 0 – 40 m depth where there were weathered rock and many fracture zones that showed discolorations at that depth. Resistivity value declines in heavy rainfall, especially in those positions. This is because water filled the fracture zone or percolate into the weathered rock. Resistivity value increases when conditions are dry or there is low rainfall because water evaporates. This 2D resistivity image response towards the rainfall could help with early warning of landslides.
ACKNOWLEDGEMENTS.................................................ii

ABSTRACT........................................................iii

LIST OF CONTENTS.................................................iv

LIST OF FIGURES..................................................vi

LIST OF TABLES...................................................ix

Chapter 1: Introduction...........................................1

1.1. Background...................................................1

1.2. Objective....................................................3

Chapter 2: Literature Review......................................5

2.1. Landslides...................................................5

2.2. Types of landslides..........................................5

2.3. Causes of landslides.........................................6

2.4. Landslides effects...........................................8

2.5. Mitigation of landslides.....................................9

2.6. Landslide monitoring technologies............................10

2.7. Geological setting in Taipingshan............................11

2.8. Landslide in Taipingshan, Yilan County, Taiwan...............14

Chapter 3: Material and Method....................................15

3.1. Study site...................................................15

3.2. Geoelectrical resistivity methods............................15

3.3. Field works..................................................19

3.4. Data analysis................................................20

3.5. Using AGI Earthimager Software...............................22

Chapter 4: Result.................................................25

4.1. Field investigation of Taipingshan landslides................25

4.2. 2D resistivity images........................................29

Chapter 5: Discussion.............................................73

5.1. The kinds of landslide material in Taipingshan...............73

5.2. Geoelectrical resistivity responses towards rainfall.........76

5.3. Error data...................................................82

Chapter 6: Conclusions and Future Works...........................85

6.1. Conclusions..................................................85

6.2. Future works.................................................85

References........................................................87
Advanced Geosciences. 2002. Instruction manual for Earthimager 2D version 2.4.0 resistivity and IP inversion software. 2121 Geoscience Drive, Austin, Texas.

Advanced Geosciences. 2017. Earthimager 2D Software.
<http://www.reddoggeo.com/www/agi/earthimager2d.htm>. Accessed
8 December 2017.

Advanced Geosciences. 2017. Inversion modeling in geophysics: the why & how. . Accessed 8 December 2017.

Aizebeokhai, A. P. 2009. Geoelectrical resistivity imaging in environmental studies. Appropriate Technologies for Environmental Protection in the Developing World 1:297-305.

Ali, A., J. Huang, A. V. Lyamin, S. W. Sloan, and M. J. Cassidy. 2014. Boundary effects of rainfall-induced landslides. Computers and Geotechnics 61:341-354.

Arjwech, R., and M. E. Everett. 2015. Application of 2D electrical resistivity tomography to engineering projects: three case studies. J. Sci. Technol 37:675-681

Australian Government. 2016. What causes landslides? <http://www.ga.gov.au/scientific-topics/hazards/landslide/basics/caus es>. Accessed 13 July 2016.

Barla, M., and F. Antolini. 2016. An integrated methodology for landslides early warning systems. Landslides 13:215-228.

British Geological Survey. 2017. Landslides <http://www.bgs.ac.uk/discoveringGeology/hazards/landslides/home. html>. Accessed 9 August 2017.

Calvello, M., M. N. Papa, J. Pratschke, and M. N. Crescenzo. 2016. Landslide risk perception: a case study in Southern Italy. Landslides 13:349-360.

Central Geological Survey. 1986. General geologic map of Taiwan scale
1:1,000,000. Central Geological Survey, The Ministry of Economis Affairs, Taipei, Taiwan.

Central Geological Survey. 2014. Integrated Geological Data Inquiry System. <http://gis.moeacgs.gov.tw/gwh/gsb97-1/sys8/eng/index.html>. Accessed 21 March 2017.

Central Weather Bureau. 2016. Precipitation. <http://e-service.cwb.gov.tw/HistoryDataQuery/index.jsp>. Accessed 1 December 2016.

Chen, C. W., H. Saito, and T. Oguchi. 2016. Analyzing rainfall induced mass movements in Taiwan using the soil water index. Landslide 1:1-11.

Chung, M. C., C. H. Tan, and K. W. Shih. 2015. Case study of Taipingshan landslide triggered by Typhoon Saola. The 15th Asian Regional Conference on Soil Mechanic and Geotechnical Engineering, Kumamoto-Japan : 1046-1050.

Chung, M. C., C. H. Tan, and C. H. Chen. 2016. Local rainfall thresholds for forecasting landslide occurence: Taipingshan landslide triggered by Typhoon Saola. Landslides 1:1-15.

Clague, J. J., and N. J. Roberts. 2012. Landslide hazard and risk. Pages 1-9 in J. J. Clague and D. Stead, editors. Landslides types, mechanisms and modeling. Cambridge University Press, New York.

Colangelo, G., V. Lapenna, A. Loperte, A. Perrone, and L. Telesca. 2008. 2D electrical resistivity tomographies for investigating recent activation landslides in Basilicata Region (Southern Italy). Annals of Geophysics 51:275-285.

Conners, D. 2014. What causes landslides? <http://earthsky.org/human-world/what-causes-landslides>. Accessed 18 July 2016.

Earth Eclipse. 2017. Causes, effects, and types of landslides. <http://www.eartheclipse.com/natural-disaster/causes-effects-and-type s-of-landslides.html>. Accessed 9 August 2017.

Environment Agency. 2007. Thinksoils factors that influence erosion and runoff. Department for Environment Food and Rural Affairs, Bristol, United Kingdom.

Friedel, S., A. Thielen, and S. M. Springman. 2006. Investigation of a slope endangered by rainfall-induced landslides using 3D resistivity tomography and geotechnical testing. Journal of Applied Geophysics 60:100-114.

Geopotential. 1979. Electrical resistivity surveys. < http://www.geopotential.biz/PDF/RESISTIVITY.pdf>. Accessed 26 July 2016.

Geovision. 2010. Resistivity. < http://geovision.com/resistivity.php >. Accessed 26 July 2016.

Ho, C. S. 1988. An introduction to the geology of Taiwan explanatory text of the geologic map of Taiwan. Central Geological Survey, The Ministry of Economis Affairs, Taipei, Taiwan.

Johnson, W.J., D’Appolonia, and P.A. Monroeville. 2003. Applications of the electrical resistivity method for detection of underground mine workings. Geophysical Technologies for Detecting Underground Coal Mine Voids 1:1-17.

Klose, M. 2014. Landslide databases as tools for integrated assessment of landslide risk. Thesis, University of Vechta, Vechta, Germany.

Kuras, O. 2006. The Capacitive Resistivity Technique for Electrical Imaging of the Shallow Subsurface. University of Nottingham, United Kingdom.

Lazzari, M., E. Geraldi, V. Lapenna , and A. Loperte. 2006. Natural hazards vs human impact: an integrated methodological approach in geomorphological risk assessment on the Tursi historical site, Southern Italy. Landslides 3:275-287.

Lin, C. W. 2015. Establishment of a comprehensive monitoring system and study of monitoring data and sliding mechanism: an example of Tai-Ping Shan Lan Tai area. MOST Project Report: MOST 104-2119-M-006-008. [In Chinese].

Loke, M. H. 2001. Electrical imaging surveys for environmental and engineering studies.< www.heritagegeophysics.com>. Accessed 9 August 2017.

Lowrie, W. 2007. Fundamentals of Geophysics. Cambridge University Press, United Kingdom.

Meisina, C. 2006. Characterisation of weathered clayey soils responsible for shallow landslides. Natural Hazards and Earth System Sciences 6:825-838.

Morrison, and Gasperikova 2012. DC Resistivity and IP field systems, data processing and interpretation. <http://appliedgeophysics.berkeley.edu/dc/index.html>. Accessed 28 February 2017.

National Geographic Society. 2014. Landslide. <http://nationalgeographic.org/encyclopedia/landslide/>. Accessed 12 July 2016.

Pánek, T., J. Hradecký, and K. Silhán. 2008. Application of electrical resistivity tomography (ert) in the study of various types of slope deformations in anisotropic bedrock: case studies from the Flysch Carpathians. Studia geomorphologica Carpatho-Balcanica 42:57-73.

Perrone, A., V. Lapenna, and S. Piscitelli. 2014. Electrical resistivity tomography technique for landslide investigation: a review. Earth-Science Reviews 135:65-82.

Rawat, M.S., V. Joshi, B. S. Rawat, and K. Kumar. 2011. Landslide movement monitoring using GPS technology: a case study of Bakthang landslide,

Gangtok, East Sikkim, India. Journal of Development and Agricultural Economics 3:194-200.

Rizky, I. W. 2015. Metode Geolistrik. <http://hmgf.fmipa.ugm.ac.id/geolistrik/>. Accessed 20 March 2017. [In Indonesia]

Roth, M, and L. H. Blikra. 2010. Seismic monitoring of the unstable rock slope at Åknes, Norway. Pages 67-68 in 19th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems, Boundenstalt, Wien, Austria.

Santoso, Djoko. 2002. Introduction of Geophysics Engineering. Bandung. ITB.

Sidle, R. C., and H. Ochiai. 2006. Landslides, processes, prediction, and land use. Washington, United States America.

Souisa, M., L. Hendrajaya, and G. Handayani. 2015. Determination of landslide slip surface using geoelectrical resistivity method at Ambon City Moluccas-Indonesia. International Journal of Emerging Technology and Advanced Engineering 5:42-47.

United States Department of the Interior Bureau of Reclamation Technical Services Center Seismotectonics and Geophysics Group. 2012. Geophysical Investigations Electrical Resistivity Surveys Santee Basin Aquifer Recharge Study Phase 2 Report Lower Colorado Region, Southern California Area Office. California, United States America.

Varnes, D. J. 1978. Slope movement types and processes. In: Schuster RL, Krizek RJ (eds) Landslides, analysis and control, special report 176: Transportation research board, National Academy of Sciences, Washington, DC., pp. 11–33

Washington State Department of Transportation. 2014. Landslide Mitigation Action Plan. Washington, United States America.

Wiltshire. 2006. Developing early warning systems: a checklist. Pages 1-10 in Third International Conference on Early Warning from concept to action. International Strategi for Disaster Reduction, Bonn, Germany.

World Health Organization. 1998. Emergency health training programme for Africa. Panafrican Emergency Training Centre, Addis Ababa, Ethiopia.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
* *