Indicator Based Vulnerability Assessment of Chhayanath-Rara Municipality, Western Nepal DOI: 10.32526/ennrj.18.3.2020.21
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Published:
Mar 16, 2020
Keywords:
Landslides risk Vulnerability assessment Vulnerability indices Socio-economic indicators
Main Article Content
Abstract
The dense settlements at the eastern hills of Rara Lake are at higher risk of existing landslides. Seepage of water from the lake has increased erosion rates, exaggerating the threats to villages. People are worried due to the potential of inadvertent disaster, therefore it became necessary to estimate the vulnerability of the communities and inform concerned authorities. Setting this requirement as an objective, underlying influencing indicators were assessed. The vulnerability assessment was based on the scoring of the responses emanated from indicator-based household's survey. These scores were summed up to generate indices and also mapped with their true locations. Vulnerability scores ranged from 16.50 to 21.75 and were categorized into five classes after standardization. A moderate vulnerability was exhibited by 33.08% of households sampled. High and very high categories of vulnerability occupied 18.80% and 4.51% of households, respectively. Field observation showed solitary households built away from village clusters were highly vulnerable. Most households showed moderate vulnerability and characteristics like stones/mud-built houses, firewood as a primary fuel, decreasing forests and grasslands, increasing temperatures, and decreasing rainfall were major influencing indicators for higher vulnerability in the research area.
Article Details
How to Cite
Bahadur Budha, P. ., Paudyal, K. ., & Ghimire, M. . (2020). Indicator Based Vulnerability Assessment of Chhayanath-Rara Municipality, Western Nepal: DOI: 10.32526/ennrj.18.3.2020.21. Environment and Natural Resources Journal, 18(3), 224–233. Retrieved from https://ph02.tci-thaijo.org/index.php/ennrj/article/view/240201
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Original Research Articles
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References
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4. Arkin H, Colton RR. Tables for Statisticians. New York: Barnes and Noble Books; 1963.
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6. Bista RB. Determinants of flood disaster households’ vulnerability in Nepal. Economic Journal of Development Issues 2019;25(1):47-59.
7. Briguglio L, Cordina G, Farrugia N, Vella S. Economic vulnerability and resilience: Concepts and measurements. Oxford Development Studies 2009;37(3):229-47.
8. Budha PB, Paudyal K, Ghimire M. Landslide susceptibility mapping in eastern hills of Rara Lake, western Nepal. Journal of Nepal Geological Society 2016;50(1):125-31.
9. Cardona OD, van Aalst MK, Birkmann J, Fordham M, McGregor G, Perez R, Pulwarty RS, Schipper ELF, Sinh BT. Determinants of risk : Exposure and vulnerability. In: Field CB, Barros V, Stocker TF, Qin D, Dokken DJ, Ebi KL, et al. editors. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC). Cambridge, UK, and New York, USA: Cambridge University Press; 2012. p. 65-108.
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13. Dwyer A, Zoppou C, Nielsen O, Day S, Roberts S. Quantifying social vulnerability: A methodology for identifying those at risk to natural hazards. Geoscience Australia Record 2004/14. Commonwealth of Australia; 2004.
14. Ebert A, Kerle N. Urban Social vulnerability assessment using object-oriented analysis of remote sensing and GIS data: A case study for Tegucigalpa, Honduras. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2008;37:1307-12.
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29. Sujakhu NM, Ranjitkar S, Niraula RR, Salim MA, Nizami A, Schmidt-Vogt D, Xu J. Determinants of livelihood vulnerability in farming communities in two sites in the Asian Highlands. Water International 2018;43(2):165-82.
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