Assessment On Losses Due To The 2080/2023 Earthquake In Jajarkot District, Nepal

Authors

  • Amar Bahadur Bista Department of Disaster Risk Engineering and Management, Lumbini International Academy of Science and Technology, Manbhawan, Lalitpur, Nepal
  • Khetraj Dahal Department of Disaster Risk Engineering and Management, Lumbini International Academy of Science and Technology, Manbhawan, Lalitpur, Nepal
  • Prakash Gyawali Department of Disaster Risk Engineering and Management, Lumbini International Academy of Science and Technology, Manbhawan, Lalitpur, Nepal

DOI:

https://doi.org/10.3126/injet.v3i2.95600

Keywords:

Earthquake 2023, Jajarkot, losses, public infrastructure, seismic resilience, disaster risk reduction

Abstract

Nepal, positioned along the tectonically active Himalayan zone, is particularly prone to earthquakes. The Jajarkot earthquake of November 3, 2023 (Mw 5.7, ML 6.4) caused significant loss of life and property in Chhedagad Municipality of Jajarkot District. This study aimed to assess the losses and their underlying causes in the aftermath of this earthquake.  Data were collected through Primary and Secondary method. Quantitative data were analyzed using Microsoft Excel with Relative Importance Index (RII) applied to Likert-scale items. Results indicated that the most significant losses included damages to public infrastructure with RII = 0.80. The dominant causes was structural vulnerabilities of traditional stone-wall construction (RII = 0.80. Recommended mitigation measures include accurate mortality assessment, integrated planning with resilient infrastructure design, and multi-agency collaboration among local governments, NGOs, and international bodies. This study provides a critical evidence base for disaster risk reduction policy and practice in seismically active remote regions of Nepal.

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Published

2026-06-18

How to Cite

Bista, A. B., Dahal, K., & Gyawali, P. (2026). Assessment On Losses Due To The 2080/2023 Earthquake In Jajarkot District, Nepal. International Journal on Engineering Technology, 3(2), 307–316. https://doi.org/10.3126/injet.v3i2.95600