GIS-based multi-criteria decision-making for seismic vulnerability modeling using OWA conceptual quantifiers

Articles in Press

Document Type : Original Article

Authors

1 PhD student in Remote Sensing and Geographic Information System Department of Remote Sensing and GIS, Faculty of Geography, University Tehran, Tehran, Iran

2 Assistant Professor, Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Iran

3 PhD student in Remote Sensing and Geographic Information Systems, Faculty of Earth Sciences, Department of Remote Sensing and Geographic Information Systems, University of Shahid Beheshti, Tehran, Iran

Abstract

Earthquake is one of the most destructive disasters that cause a lot of damage to structures and humans. Many factors play a role in the vulnerability of urban areas to earthquakes. In Tehran, the presence of old buildings, high population density, and the existence of numerous faults have caused the city to be significantly vulnerable to earthquakes and on the other hand the phenomenon of liquefaction during earthquakes. The high level of groundwater and the type of alluvial and sandy soils in some areas increases vulnerability in Tehran. In this research, a map of the physical vulnerability of Tehran to earthquakes has been prepared in two different scenarios (considering the depth of groundwater level and not considering the depth of groundwater level) and the weighted average operator arranged to provide a wide range. Some of the answers from pessimistic to optimistic solutions have been used based on multi-criteria analysis and the results in different scenarios have been divided into five categories: very high, high, medium, low, and very low. The results show that considering the fuzzy concept quantifier "at least one" in the 6-parameter scenario 67% and in the 7-parameter scenario 85% of the buildings in the three zones 20, 16, and 11 are classified in the "very vulnerable" class. Comparison of the results of the two scenarios Due to the variability of groundwater depth in the study areas shows that in the 7-parameter scenario (taking into account the groundwater depth) in almost all decision-making strategies, the vulnerability increased from north to south of the study area. The study areas are in high and very high vulnerability classes.

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References

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Journal of Natural Environmental Hazards

Articles in Press, Accepted Manuscript
Available Online from 13 May 2024

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  • Receive Date: 30 January 2022
  • Revise Date: 30 March 2024
  • Accept Date: 13 May 2024

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