Dima Hasao, Assam (India) landslides’ 2022: A lesson learnt

Authors

  • Santanu Baruh CSIR- North East Institute of Science and Technology
  • Chandan Dey Academy of Scientific and Innovative Research (AcSIR), Ghaziabad - 201002, India
  • Nandita Dutta Assam State Disaster Management Authority (ASDMA), Guwahati - 781005, Assam, India
  • Manoj Kumar Phukan Assam State Disaster Management Authority (ASDMA), Guwahati - 781005, Assam, India

DOI:

https://doi.org/10.18485/ijdrm.2023.5.1.1

Keywords:

Dima Hasao Landslides, Resilience, Neo-Determinism, NE India, Community awareness

Abstract

During the monsoon season of 2022, the Dima Hasao district of Assam faced a series of landslides across multiple locations, resulting in significant damage to property and newly developed communication infrastructure. These landslides were caused by a combination of natural and anthropogenic factors. The region being host to one of the world’s wettest monsoon belts and under tremendous tectonic stress with sedimentary geological formation is highly susceptible to landslides. In addition to these natural factors, the construction of communication infrastructure and roadways may have contributed to destabilizing the slopes and increasing the risk of landslides. Excavation activities for the expansion of highways and the conversion of railway tracks to broad-gauge may have altered the natural slope dynamics, exacerbating the severity of the landslides. This paper explores the causes and consequences of the landslides from an environmental determinism and possibilism perspective. It argues for the optimization of the neo-determinism fine line by identifying remedial countermeasures to prevent or minimize the impact of future landslides in the area. Effective communication and collaboration among the government, non-governmental organizations, community leaders, and the public are essential for reducing the risk of natural disasters and promoting sustainable development in landslide-prone regions. The identified countermeasures have practical implications for disaster management and planning in similar regions globally.

References

Aditian, A., Kubota, T., & Shinohara, Y. (2018). Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia. Geomorphology, 318, 101–111.

Alessa, L., Kliskey, A., Gamble, J., Fidel, M., Beaujean, G., & Gosz, J. (2016). The role of Indigenous science and local knowledge in integrated observing systems: moving toward adaptive capacity indices and early warning systems. Sustainability Science, 11, 91–102.

Baruah, S., Sharma, A., Dey, C., Saikia, S., Boruah, G. K., Eluyemi, A. A., … Sailo, S. (2021). Correlation between crustal anisotropy and seismogenic stress field beneath Shillong–Mikir Plateau and its vicinity in North East India. Geomatics, Natural Hazards and Risk, 12(1), 2070–2086.

Center, A. D. R. (2015). Sendai framework for disaster risk reduction 2015–2030. United Nations Office for Disaster Risk Reduction: Geneva, Switzerland.

Cruden, D. M. (1991). A simple definition of a landslide. Bulletin of the International Association of Engineering Geology-Bulletin de l’Association Internationale de Géologie de l’Ingénieur, 43(1), 27–29.

Dai, F. C., Lee, C. F., & Wang, S. J. (2003). Characterization of rainfall-induced landslides. International Journal of Remote Sensing, 24(23), 4817–4834.

Dey, C., Baruah, S., Choudhury, B. K., Chetia, T., Saikia, S., Sharma, A., & Phukan, M. K. (2021). Living with Earthquakes: Educating masses through earthquake awareness: North East (NE) India perspective. Annals of Geophysics, 64(3).

Ghimire, M. (2011). Landslide occurrence and its relation with terrain factors in the Siwalik Hills, Nepal: case study of susceptibility assessment in three basins. Natural Hazards, 56(1), 299–320.

GSI. (2022). National Landslide Susceptibility Mapping, Assam Susceptibility.

Gupta, I. D. (2006). Delineation of probable seismic sources in India and neighbourhood by a comprehensive analysis of seismotectonic characteristics of the region. Soil Dynamics and Earthquake Engineering, 26(8), 766–790.

Guzzetti, F., Peruccacci, S., Rossi, M., & Stark, C. P. (2008). The rainfall intensity–duration control of shallow landslides and debris flows: an update. Landslides, 5, 3–17.

Huabin, W., Gangjun, L., Weiya, X., & Gonghui, W. (2005). GIS-based landslide hazard assessment: an overview. Progress in Physical Geography, 29(4), 548–567.

ISC. (2022). International Seismological Centre 2022, On-line Bulletin. https://doi.org/https://doi.org/10.31905/D808B830

Kayal, J. R. (2008). Microearthquake seismology and seismotectonics of South Asia. Springer Science & Business Media.

Lewthwaite, G. R. (1966). Environmentalism and determinism: A search for clarification. Annals of the Association of American Geographers, 56(1), 1–23.

Li, Y., Wang, X., & Mao, H. (2020). Influence of human activity on landslide susceptibility development in the Three Gorges area. Natural Hazards, 104(3), 2115–2151.

Mitchell, A. H. G. (1993). Cretaceous–Cenozoic tectonic events in the western Myanmar (Burma)–Assam region. Journal of the Geological Society, 150(6), 1089–1102.

Pourghasemi, H. R., Pradhan, B., & Gokceoglu, C. (2012). Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Natural Hazards, 63, 965–996.

Pradhan, S. P., & Siddique, T. (2020). Stability assessment of landslide-prone road cut rock slopes in Himalayan terrain: a finite element method based approach. Journal of Rock Mechanics and Geotechnical Engineering, 12(1), 59–73.

Singh, T. (2005). Impact of earthquake disasters on new urbanization pattern in north eastern region of India. Journal of Environmental Systems, 32(1).

Talukdar, S. (2022). Dima Hasao Tragedy: Climate Change, Policy Faults and Govt Apathy to Blame. Newsclick. Retrieved from https://www.newsclick.in/dima-hasao-tragedy-climate-change-policy-fault-govt-apathy-blame

TWC. (2022). Northeast India Braces for Very Heavy to Extremely Heavy Rainfall from May 16-20; Assam, Meghalaya, Arunachal on Alert. The Weather Channel. Retrieved from https://weather.com/en-IN/india/news/news/2022-05-16-very-heavy-rains-to-seize-assam-meghalaya-arunachal-and-sikkim

Vaidya, R. A., Shrestha, M. S., Nasab, N., Gurung, D. R., Kozo, N., Pradhan, N. S., & Wasson, R. J. (2019). Disaster risk reduction and building resilience in the Hindu Kush Himalaya. The Hindu Kush Himalaya Assessment: Mountains, Climate Change, Sustainability and People, 389–419.

Vasistha, H. B., Rawat, A., & Soni, P. (2011). Hazards mitigation through application of bioengineering measures in landslide areas. Disaster and Development, 5, 37–52.

Yao, X., Tham, L. G., & Dai, F. C. (2008). Landslide susceptibility mapping based on support vector machine: a case study on natural slopes of Hong Kong, China. Geomorphology, 101(4), 572–582.

Downloads

Published

2023-06-29

How to Cite

Baruh, S., Dey, C. ., Dutta, N. ., & Phukan, M. K. . (2023). Dima Hasao, Assam (India) landslides’ 2022: A lesson learnt. International Journal of Disaster Risk Management, 5(1), 1–13. https://doi.org/10.18485/ijdrm.2023.5.1.1