Articles | Volume 22, issue 10
Nat. Hazards Earth Syst. Sci., 22, 3211–3230, 2022
Nat. Hazards Earth Syst. Sci., 22, 3211–3230, 2022
Research article
07 Oct 2022
Research article | 07 Oct 2022

Integrated seismic risk assessment in Nepal

Sanish Bhochhibhoya and Roisha Maharjan

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Cited articles

Abdi, H. and Williams, L. J.: Principal component analysis, Wiley Interdisciplin. Rev. Comput. Stat., 2, 433–459,, 2010. 
Aksha, S. K., Juran, L., Resler, L. M., and Zhang, Y.: An Analysis of Social Vulnerability to Natural Hazards in Nepal Using a Modified Social Vulnerability Index, Int. J. Disast. Risk Sci., 10, 103–116,, 2019. 
Alizadeh, M., Alizadeh, E., Asadollahpour Kotenaee, S., Shahabi, H., Beiranvand Pour, A., Panahi, M., bin Ahmad, B., and Saro, L.: Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran, Sustainability, 10, 3376,, 2018. 
Anagnos, T. and Kiremidjian, A. S.: A review of earthquake occurrence models for seismic hazard analysis, Probabil. Eng. Mech., 3, 3–11,, 1988. 
Atkinson, G. M. and Boore, D. M.: Empirical Ground-Motion Relations for Subduction-Zone Earthquakes and Their Application to Cascadia and Other Regions, Bull. Seismol. Soc. Am., 93, 1703–1729,, 2003. 
Short summary
This is a comprehensive approach to risk assessment that considers the dynamic relationship between loss and damage. The study combines physical risk with social science to mitigate the disaster caused by earthquakes in Nepal, taking socioeconomical parameters into account such that the risk estimates can be monitored over time. The main objective is to recognize the cause of and solutions to seismic hazard, building the interrelationship between individual, natural, and built-in environments.
Final-revised paper