Geo-Technical and Geological Study, Management Plan of Landslide

Article Sidebar

PDF HTML
Published: Sep 2, 2024
DOI: https://doi.org/10.29070/wc8dv634
Keywords:
Geo-Technical, Geological Study, Management Plan, Landslide, natural disaster, geotechnical properties, Lonavala, Tamini Hill, Maharashtra, geological formation, permeability, shear strength, reconstruction, widening of the road, heavy precipitation, monsoon season, north eastern area, road construction, siltstone, mudstone, loosely deposited soil, shallow landslide

Main Article Content

Authors

Miss. Gayatri Bhimrao Bagal

Mtech Student, Department of Civil Engineering PVPIT Bavdhan Pune

Dr. R. R. Sorate

HOD, Department of Civil Engineering PVPIT Bavdhan Pune

Prof. A. S. Desai

Professor, Department of Civil Engineering PVPIT Bavdhan Pune

Abstract

Landslide is a natural disaster that occurs when rock, earth, or debris flows to downwardslope due to gravity after being detached from slope underneath. It is essential to know the geotechnicalproperties to analyse the causes of landslide. For the present study geotechnical investigation has beencarried out on the slopes of Lonavala and Tamini Hill, Maharashtra . Results obtain from laboratory testand field investigation revealed that the underlying causes of the landslide could be (a) the geologicalformation of those hills (b) permeability through the different layers of soil (c) shear strength of the soil(d) cutting of hills slope for reconstruction and widening of the road. Landslide triggered due to heavyprecipitation during the monsoon season. In north eastern area of India is mainly hilly that’s why recentdevelopment is going on here. Due to this reasons road construction is going on here. As the wholerange is composed of siltstone and mudstone mainly loosely deposited soil they are cutting the hillsvertically which unstable the slope. After the thorough investigation we have seen that mainly shallowlandslide happen on those two hills.

Downloads

Download data is not yet available.

Article Details

Issue

Vol. 20 No. 1 (2023): Journal of Advances in Science and Technology (JAST)

Section

Articles

References

  1. Gao, W. W., Gao, W., Hu, R. L., Xu, P. F., & Xia, J. G. (2018). Microtremor survey and stability analysis of a soil-rock mixture landslide: a case study in Baidian town, China. Landslides, 15(10), 1951-1961.
  2. Kumar, V., Gupta, V., Jamir, I., & Chattoraj, S. L. (2019). Evaluation of potential landslide damming: Case study of Urni landslide, Kinnaur, Satluj valley, India. Geoscience Frontiers, 10(2), 753-767.
  3. Yang, S. R. (2016). Probability of road interruption due to landslides under different rainfall-return periods using remote sensing techniques. Journal of Performance of Constructed Facilities, 30(1), C4015002.
  4. Yano, A., Shinohara, Y., Tsunetaka, H., Mizuno, H., & Kubota, T. (2019). Distribution of landslides caused by heavy rainfall events and an earthquake in northern Aso Volcano, Japan from 1955 to 2016. Geomorphology, 327, 533-541.
  5. Yamada, M., Mangeney, A., Matsushi, Y., & Matsuzawa, T. (2018). Estimation of dynamic friction and movement history of large landslides. Landslides, 15(10), 1963-1974.
  6. Senthilkumar, V., Chandrasekaran, S. S., & Maji, V. B. (2018). Rainfall-induced landslides: case study of the Marappalam landslide, Nilgiris District, Tamil Nadu, India. International Journal of Geomechanics, 18(9), 05018006.
  7. Wei, Z. L., Lü, Q., Sun, H. Y., & Shang, Y. Q. (2019). Estimating the rainfall threshold of a deep-seated landslide by integrating models for predicting the groundwater level and stability analysis of the slope. Engineering geology, 253, 14-26.
  8. Dai, F. C., & Lee, C. F. (2002). Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology, 42(3-4), 213-228.
  9. Rawat, M. S., Joshi, V., Rawat, B. S., & Kumar, K. (2011). Landslide movement monitoring using GPS technology: A case study of Bakthang landslide, Gangtok, East Sikkim, India. Journal of Development and Agricultural Economics, 3(5), 194-200.
  10. Das, I., & Stein, A. (2016). Application of the multitype strauss point model for characterizing the spatial distribution of landslides. Mathematical problems in engineering, 2016.
  11. Liu, S. T., & Wang, Z. W. (2008). Choice of surveying methods for landslides monitoring. In Landslides and engineered slopes: from the past to the future. Proceedings of the tenth international symposium on landslides and engineered slopes. Taylor & Francis, Xi’an.
  12. Wang, H. J., Xiao, T., Li, X. Y., Zhang, L. L., & Zhang, L. M. (2019). A novel physically-based model for updating landslide susceptibility. Engineering geology, 251, 71-80.
  13. Steger, S., & Kofler, C. (2019). Statistical modeling of landslides: landslide susceptibility and beyond. In Spatial Modeling in GIS and R for Earth and Environmental Sciences (pp. 519-546). Elsevier.
  14. Tzenkov, T., & Gospodinov, S. (2003). Geometric analysis of geodetic data for investigation of 3D landslide deformations. Natural Hazards Review, 4(2), 78-81.
  15. Yang, S. R., Shen, C. W., Huang, C. M., Lee, C. T., Cheng, C. T., & Chen, C. Y. (2012). Prediction of mountain road closure due to rainfall-induced landslides. Journal of performance of constructed facilities, 26(2), 197-202.
  16. Bányai, L., Mentes, G., Újvári, G., Kovács, M., Czap, Z., Gribovszki, K., & Papp, G. (2014). Recurrent landsliding of a high bank at Dunaszekcső, Hungary: geodetic deformation monitoring and finite element modeling. Geomorphology, 210, 1-13.
  17. Yang, S. R. (2016). Probability of road interruption due to landslides under different rainfall-return periods using remote sensing techniques. Journal of Performance of Constructed Facilities, 30(1), C4015002.
  18. Tymchenko, O., Ugnenko, E., & Makovyey, R. (2016). Analysis of Methods of Landslide Processes Forecasting on Highways. Procedia Engineering, 134, 146-152.
  19. Yang, H., Wang, F., Vilímek, V., Araiba, K., & Asano, S. (2015). Investigation of rainfall-induced shallow landslides on the northeastern rim of Aso caldera, Japan, in July 2012. Geoenvironmental Disasters, 2(1), 20.
  20. Anbarasu, K., Sengupta, A., Gupta, S., & Sharma, S. P. (2010). Mechanism of activation of the Lanta Khola landslide in Sikkim Himalayas. Landslides, 7(2), 135-147.
  21. Dahal, R. K., Hasegawa, S., Nonomura, A., Yamanaka, M., Masuda, T., & Nishino, K. (2008). GIS-based weights-of-evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping. Environmental Geology, 54(2), 311-324.
  22. De, S. K., Jamatia, M., & Bandyopadhay, S. (2008). Geo-technical investigation of Mirik Landslide, Darjiling Himalayas. Geomorphology in India. Prayag Pustak Bhawan, Allahabad, 207-216.
  23. Dutta, K. K. (1966). Landslips in Darjeeling and neighbouring hill slopes in June 1950. Bulletin GSI, Series B, 15(1), 7-30.
  24. Varnes, D. J. (1958). Landslide types and processes. Landslides and engineering practice, 24, 20-47.
  25. Alcántara-Ayala, I., López-García, J., & Garnica, R. J. (2012). On the landslide event in 2010 in the monarch butterfly biosphere reserve, Angangueo, Michoacán, Mexico. Landslides, 9(2), 263-273.
  26. Basu, S. R. (1985). Some considerations on recent landslides at Tindharia and their control. Indian Journal of Power and River Valley Development, 88-194.
  27. Ho, K. K., & Li, K. S. (Eds.). (2001). Geotechnical Engineering: Meeting Society's Needs: Proceedings of the Fourteenth Southeast Asian Geotechnical Conference, Hong Kong, 10-14 December 2001 (Vol. 1). CRC Press.
  28. Chatterjee, B. :Report on the detailed geotechnical investigation for subsidence affected railway colony and narrow gauge hill section of the North-east Frontier Railway in Darjeeling District, West Bengal. An unpublished NF Railway Report (1975): 1-14.
  29. Sassa, K. (2018). Monthly publication of Landslides: journal of international consortium on landslides (ICL).
  30. Yamada, M., Mangeney, A., Matsushi, Y., & Matsuzawa, T. (2018). Estimation of dynamic friction and movement history of large landslides. Landslides, 15(10), 1963-1974.
  31. Flentje, P., Stirling, D., & Chowdhury, R. N. (2007). Landslide Susceptibility and Hazard derived from a Landslide Inventory using Data Mining–an Australian case study.