Landslide Dynamics and Probing their Interplay with Geophysical Factors Using GIS and Remote Sensing

Authors

  • Adarsh Sharma Department of Geography, Govt. College Sanjauli, Shimla, India Author
  • Vishwa B. S. Chandel Department of Geography, Panjab University Chandigarh, India Author

DOI:

https://doi.org/10.31305/rrjss.2024.v04.n01.012

Keywords:

Geophysical, Landslides, PlanetScope, Himachal Pradesh

Abstract

The global database on natural and technological disasters occurring between 1990 and 2015, landslides accountfor 4.3 per cent of total disaster events out of which 54 per cent occurred in Asia. Asia, with 75 percent of the total landslide events between 2004 and 2016 is one of the major hot spots. According to NDMA, In India, 15 per cent of land territory is affected by landslides. The tectonically active Himalayan region exhibits the highest frequency of landslides. In this context, a landslide inventory provides precise information on the actual location of events and provides a basis to examine the influence of underlying factors on landslide to relate surface and subsurface properties of the terrain that determine slope material's strength and stability/instability of hillslopes to various failure mechanisms. To evaluate terrain characteristics the data sets derived from DEM, PlanetScope satellite images, topographical maps, soil map and daily rainfall data from IMD for the period (2000-2019). These parameters were analysed in the GIS environment to prepare output maps depicting their profound relevance in studying landslides. About 30 per cent of landslides are in the vicinity of agricultural and built-up areas and 18 per cent occurred in open/barren land.

References

Bahrami, Y., Hassani, H., & Maghsoudi, A. (2019). BWMARAS: A new hybrid MCDM method for Cu prospectivity mapping in the Abhar area, NW Iran. Spatial Statistics, 33, 100382. https://doi.org/10.1016/j.spasta.2019.100382

Banuzaki, A. S., & Ayu, A. K. (2021). Landslide vulnerability assessment using GIS and remote sensing techniques: a case study from Garut – Tasikmalaya road.Earth and Environmental Science 622.

Bhunia, G. S., Samanta, S., & Pal, B. (2012). Quantitative analysis of relief characteristics using space technology. International Journal of Physical and Social Sciences,2(8),350365.http://www.indianjournals.com/ijor.aspX?target=ijor:ijpss&volume=2&issue=8&article=024

Bogaard, T. A., & Greco, R. (2015). Landslide hydrology: from hydrology to pore pressure. Wiley Interdisciplinary Reviews: Water, 3(3), 439-459

Chen, Z., & Wang, J. (2007). Landslide hazard mapping using a logistic regression model in Mackenzie Valley. Nat. Hazard. Canada. 42(1): 75-89.

Crecenti, V., Dramis, F., Gentil, B., &Praturlon, A. (1984). The Bisaccia landslide: A case of deep seated gravitational movement reactivated by earthquake Acts cell. Movementa de terrains. Casen. Doc. B.R.G.M., 83: 15-21.

Cruden, D. M., & Eaton, T. M. (1987). Reconnaissance of rockslide hazards in

kananaskins county, Alberta. Canadian Geotechnical Journal. 24: 414-429.

Duncan, J. M. (1979). Site Characterisation for analysis. In C. H. Dowding (Ed.), American Society of Civil Engineers, New York. Site Characterisation and Exploration, 70-82.

Fenton, C., Gray, M., Hyland, N., & Smith, J. (2019). Fault-Landslide Interactions: Examples from the 2016 M7. 8 'Kaikōura', New Zealand, Earthquake. In IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 5, 33-41.

Feizizadeh, B., & Blaschke. T. (2011). Landslide risk assessment based on GIS multicriteria evaluation: a case Study Bostan Abad County, Iran. Journal of EarthScience and Engineering, 1: 66-71.

Florinsky, I. (2016). Digital terrain analysis in soil science and geology. Academic Press.

Gomberg, J., Bodin, P., Savage, W., & Jackson, M. E. (1995). Landslide faults and tectonic faults, analogs?: The Slumgullion earthflow, Colorado. Geology, 23(1), 41-44. https://doi.org/10.1130/0091-7613(1995)0232.3.CO;2

Hadji, R., Chouabi, A., Gadri, L., Raïs, K., Hamed, Y., &Boumazbeur, A. (2016). Application of linear indexing model and GIS techniques for the slope movement susceptibility modeling in Bousselam upstream basin, Northeast Algeria. Arabian Journal of Geosciences, 9(3), 1-18.

Iida, T. (1993). A probability model of slope failure and hillslope development. Trans. Jpn. Geomorph. Union, 14 (1), 17–31.

Kamp, U., Growley, B. J., Khattak, G. A., & Owen, L. A. (2008). GIS-based landslide susceptibility mapping for the 2005 Kashmir earthquake region. Geomorphology, 101(4), 631-642.

Lee, S., & Talib, J. A. (2005). Probabilistic Landslide Susceptibility and Factor Effect

Analysis. Environmental Geology 47 (7): 982–990.

Mahala, A. (2020). The significance of morphometric analysis to understand the hydrological and morphological characteristics in two different morpho-climatic settings. Applied Water Science, 10(1): 1-16

Mandal, B., & Mandal, S. (2016). Assessment of mountain slope instability in the Lish River basin of Eastern Darjeeling Himalaya using frequency ratio model (FRM). Modeling Earth Systems and Environment, 2(3): 1-14. https://doi.org /10.1007/s40808-016-0169-8. https://doi.org/10.1007/s13201- 019-1118-2

Mandal, S., & Mondal, S. (2018). Geomorphic, Geo-tectonic, and Hydrologic Attributes and Landslide Probability. In Statistical Approaches for Landslide Susceptibility Assessment and Prediction, Springer. 41-75.

National Oceanic and Atmospheric Administration (NOAA), (2015). What is the difference between land cover and land use? National Ocean Service website, https://oceanservice.noaa.gov/facts/lclu.html#:~:text=Land%20cover%20indicat es%.

Pradhan, B., Lee, S., &Buchroithner, M. F. (2010). Remote sensing and GIS-based landslide susceptibility analysis and its cross-validation in three test areas using a frequency ratio model. Photogrammetrie - Fernerkundung - Geoinformation, 2010(1), 17-32. https://doi.org/10.1127/1432-8364/2010/0037

Ruenkreivergsa, T., &Chinpongsamond, P. (1980). Geological and Seismological aspects of landslides. Proceedings, International Symposium on Landslides, (ISL1980), April 7-11, New Delhi. 1: 85-88.

Saha, A. K., Gupta, R. P., Sarkar, I., Arora, M. K., & Csaplovics, E. (2005). An approach for GIS-based statistical landslide susceptibility zonation—with a case study in the Himalayas. Landslides, 2(1): 61-69.

Sen, S., Mitra, S., Debbarma, C., & De, S. K. (2015). Impact of faults on landslide in the Atharamura Hill (along the NH 44), Tripura. Environmental Earth Sciences, 73(9): 5289-5298. https://doi.org/10.1007/s12665-014-3778-4

Tanoli, J. I., Ningsheng, C., Regmi, A. D., & Jun, L. (2017). Spatial distribution analysis and susceptibility mapping of landslides triggered before and after Mw7. 8 Gorkha earthquake along Upper Bhote Koshi, Nepal. Arabian Journal of Geosciences, 10(13): 1-24.

Downloads

Published

2024-06-30

How to Cite

Sharma, A., & Chandel, V. B. S. (2024). Landslide Dynamics and Probing their Interplay with Geophysical Factors Using GIS and Remote Sensing. Research Review Journal of Social Science , 4(1), 74-100. https://doi.org/10.31305/rrjss.2024.v04.n01.012