Seismic Noise Analysis in InaTEWS Earthquake Station Network (Case Study: Flores Earthquake 7.4, 14 December 2021)

Probabilistic earthquake hazard Analysis with considering Risk-Based concept (Case study of olefin 14)

Background and objective: numerous seismic hazard analysis studies are conducted annually using probabilistic methods throughout the world and Iran, which are usually different from the initial assumptions of analysis or software used. On the other hand, many researches are presented every year about new methods of earthquake hazard zoning, but so far these studies have not computed earthquake ...

Pakistan Earthquake Case Study

Spatial analysis of earthquake crisis management (Case study: Khuzestan province)

Abstract Iran is one of the most earthquake-prone countries in the world and its cities have suffered a lot due to this natural phenomenon. The purpose of this study was the spatial analysis of earthquake crisis management. The research method has been applied-developmental. The research area of ​​Khuzestan province and the statistical population included elites in the field of urban planning...

A Case Study of the Bam Earthquake to Establish a Pattern for Earthquake Management in Iran

The field of crisis management knowledge and expertise is associated with a wide range of fields. Knowledge-based crisis management is a combination of science, art and practice. Iran is an earthquake-prone country. Through years several earthquakes have happened in the country resulting in many human and financial losses. According to scientific standards, the first 24 hours following an earth...

Poisson model for earthquake frequency uncertainties in seismic hazard analysis

Frequency-magnitude distributions, and their associated uncertainties, are of key importance in statistical seismology. When fitting these distributions , the assumption of Gaussian residuals is invalid since event numbers are both discrete and of unequal variance. In general, the observed number in any given magnitude range is described by a binomial distribution which, given a large total num...