Safe City

Safe City

Spatial analysis of the vulnerability of human settlements against earthquakes (Case study: West Azarbaijan province)

Document Type : Original Article

Authors
1 Professor of Department of Geography, Faculty of Literature and Human Sciences, Urmia University, Urmia, Iran
2 Research Assistant, Department of Geography, Faculty of Literature and Human Sciences, Urmia University, Urmia, Iran
Abstract
Introduction
Investigating the vulnerability of each province, including West Azarbaijan province, against earthquakes can play a positive role in reducing the vulnerability of human settlements. This province is located in the northwest of Iran and in an area with moderate seismicity, but the occurrence of destructive earthquakes in the past in Salmas, 70 km from Urmia, as well as the occurrence of destructive earthquakes in the city of Tabriz, which is a short distance from this province, along with the presence of active faults such as the Piranshahr-Selmas, Tabriz, Mahabad Dam faults and active faults in neighboring countries such as Turkey make it necessary to investigate the vulnerability caused by earthquakes in this province. therefore, based on the mentioned cases, The main purpose of this research is to analyze the spatial vulnerability of human settlements against earthquakes in West Azerbaijan province. to evaluate the vulnerability of this province based on fault data and point data while investigating various events in this area. in this regard, the main research question under the title "Which human settlements in West Azarbaijan Province are the most vulnerable?" has been mentioned.

Methodology
The current research is descriptive-analytical regarding its practical purpose and investigation method. in this research, the method of data collection has been done in the library and field, so that at first, the information of the literature part of the research was collected from scientific sources such as books and scientific articles, and then the information related to the analytical data part, which includes Slope, Elevation, linear data of faults and point data of earthquakes from the year It is collected from 1930 to 2018. the statistical population of this research is 19 townships of West Azerbaijan province. the analysis of research data has been carried out quantitatively using GIS software. Several methods have been used to spatially analyze data, such as the IDW interpolation model, Kernel density function, Line density function, Fuzzy Overlay model, and AND function. in this research, clustering is considered as a 5-point Likert scale, which includes very low, low, medium, high, and very high degrees.

Results and discussion
The findings of the research show that The vulnerability rate of the earthquakes that occurred in West Azarbaijan province shows that the biggest earthquake of this province with 7.1 Richter occurred in Salmas in 1930. Also, the vulnerability rate of the earthquakes that occurred in this province shows that the western half of the province has suffered a lot of vulnerability compared to its eastern half. Also According to the results, Salmas, Khoi, Chaypare, Chaldiran and Mako townships are in the north of the province, Takab township is in the southeast of the province, and in the south of the province, the townships of Sardasht, Mirabad, Piranshahr and oshnaviyeh are among the cities with a high vulnerability rate. According to the results, it can be acknowledged that the southeast of the province is less vulnerable than the south and the north of the province. In a general summary, about 46% of the area of the province and 18% of the population of the province are in the area with high vulnerability.

Conclusion
Nowadays, evaluating the vulnerability of human settlements on one hand and evaluating the vulnerability of existing faults on the other hand can help the science of crisis management, so that by evaluating the current situation and history of natural hazards in the area, critical areas can be identified and early policies can be adopted in this regard. day by day, this issue adds to the importance of increasing resilience in human settlements, following the recent hazards, especially the recent earthquakes in Iran and neighboring countries, we have witnessed unfortunate events; therefore, based on the results obtained in this research, it is suggested to form pre-crisis management before the earthquake in centers with very high vulnerability and by increasing the level of resilience to reduce the vulnerability of these human settlements, it reduced the amount of people who need help during natural hazards because the occurrence of this hazards is always accompanied by a lot of damage, which can be reduced by adopting appropriate policies in the amount of material and life losses in these settlements.

Funding
There is no funding support.

Authors’ Contribution
Authors contributed equally to the conceptualization and writing of the article. All of the authors approved thecontent of the manuscript and agreed on all aspects of the work declaration of competing interest none.

Conflict of Interest
Authors declared no conflict of interest.

Acknowledgments
We are grateful to all the scientific consultants of this paper.
Keywords
Subjects

[1] Ahmad, R. A., Singh, R. P., & Adris, A. (2017). Seismic hazard assessment of Syria using seismicity, DEM,
slope, active faults and GIS. Remote Sens. Appl.: Soc. Environ., 6, 59–70.
[2] Albulescu, A.-C. (2023). Open Source Data-Based Solutions for Identifying Patterns of Urban Earthquake
Systemic Vulnerability in High-Seismicity Areas. Remote Sens., 15(5), 1453.
[3] Alizadeh, M., Zabihi, H., Rezaie, F., Asadzadeh, A., Wolf, I. D., Langat, P. K., ...Pradhan, B. (2021).
Earthquake Vulnerability Assessment for Urban Areas Using an ANN and Hybrid SWOT-QSPM Model. 
Remote Sens., 13(22), 4519.
[4] Azadeh, S., R. & Taghvaei, M. (2017). Spatial analysis of vulnerability in urban and rural settlements against
earthquake hazard Case Study: Guilan Province. Journal of Spatial Analysis Environmental Hazards, 4(3),
71-84. [in Persian]
[5] Benito del Pozo, P., & López-González, A. (2020). Urban resilience and the alternative economy: a
methodological approach applied to northern Spain. Geogr. Rev., 110 (3) (2020), pp. 322-340,
[6] Cariolet, J., Vuillet, M., & Diab, Y. (2019). Mapping urban resilience to disasters – A review. Sustainable
Cities and Society, 51, 101746.
[7] Chu, J., Zhang, Q., Wang, A., & Yu, H. (2021). A Hybrid Intelligent Model for Urban Seismic Risk
Assessment from the Perspective of Possibility and Vulnerability Based on Particle Swarm Optimization. Sci.
Program., 2021.
[8] Eshghi Chaharborj, A., Alavi, S., & Nazmfar, H. (2015). Assessment the vulnerability of Social - Physical
cities against earthquakes (Case Study: West Azerbaijan Counties). Journal of Urban Regional Studies and
Research, 7(27), 101-118. [in Persian]
[9] Fakhrghazi, M., Pourramzan, E., & Molaei Hashtjin, N. (2022). Spatial Analysis of Social Resilience of Rural
Settlements against Earthquake Risk (Case study: villages of Avaj city). Geographical Engineering of
Territory, 6(2), 309-325. [in Persian]
[10]Faraji Sabokbar, H. A., Badri, S. A., & Tahmasi, B. (2021). Spatial Assessment of Vulnerability to
Earthquake in Rural Settlements Using a Fuzzy Inference System (Case Study: Rural Settlements in the
Tehran Metropolitan Area, Iran). Sustainable Rural Development, 5(2), 175-188. [in Persian]
[11]Folke, C. (2006). Resilience: The emergence of a perspective for social–ecological systems analyses. Global
Environmental Change, 16(3), 253-267.
[12]Frigerio, I., & De Amicis, M. (2016). Mapping social vulnerability to natural hazards in Italy: A suitable tool
for risk mitigation strategies. Environ. Sci. Policy, 63, 187–196.
[13]Galbusera, L., & Giannopoulos, G. (2018). On input-output economic models in disaster impact assessment.
Int. J. Disaster Risk Reduct., 30, 186–198.
[14]Ghazanfar Pour, H., Hosseinekhah, H., & Kamali, E. (2023). The analysis of risk and vulnerability Seismic
of human settlements in Basht County using fuzzy Dimatel and ArcGIS. Journal of Natural Environmental
Hazards, 12(35), 21-36. [in Persian]
[15]Hodaei, A., & Feizi, V. (2021). Analysis of the Role of Dispersion of Rural Settlements against Natural
Hazards in South Khorasan Province. Journal of Rescue and Relief, 13(3), 202-2013. [in Persian]
[16]Jena, R., Shanableh, A., Al-Ruzouq, R., Pradhan, B., Gibril, M. B. A., Khalil, M. A., ...Ghamisi, P. (2023).
Earthquake spatial probability and hazard estimation using various explainable AI (XAI) models at the
Arabian peninsula. Remote Sens. Appl.: Soc. Environ., 31, 101004.
[17]Khedmatzadeh, A., Mousavi, M., & Yousefzadeh, A. (2021). Analysis of Urban Vulnerability Indexes with
the Approach Seismic Disaster Management Using Fuzzy Network Analysis Process (FANP) (Case study:
Urmia city). Journal of Studies of Human Settlements Planning, 16(1), 43-62. [in Persian]
[18]Liu, Y., Shu, B., Chen, Y., & Zhang, H. (2023). Spatial vulnerability assessment of rural settlements in hilly
areas using BP neural network algorithm. Ecol Indic., 157, 111278.
[19]Liu, Y., Zheng, J., Lu, H., & Li, X. (2022). Vulnerability Assessment and Spatio-Temporal Dynamics
Analysis of Agricultural Flood in China. Front. Environ. Sci., 10, 902968.
[20]Majumder, S., Roy, S., Bose, A., & Chowdhury, I. R. (2023). Multiscale GIS based-model to assess urban
social vulnerability and associated risk: Evidence from 146 urban centers of Eastern India. Sustainable Cities
and Society, 96, 104692.
[21]Masnavi, M.R., Gharai, F. & Hajibandeh, M. (2019). Exploring urban resilience thinking for its application
in urban planning: a review of literature. Int. J. Environ. Sci. Technol, 16, 567–582.
[22]Meerow, S., Newell, J. P., & Stults, M. (2016). Defining urban resilience: A review. Landscape and Urban
Planning, 147, 38-49.
[23]Mousavi, M., Zoghi Barani, K., Jahangirzadeh, J., Omidvarfar, S., & Bayramzadeh, N. (2023). Hospital Site
Selection Using the Fuzzy Method and Passive Defense Approach (Case Study: Urmia City). Passive Defense
Quarterly, 14(1), 129-138. [in Persian]
[24]Najafi Kani, A. (2021). Analyzing the Resilience of Rural Settlements against Earthquakes: A Case Study of
Mountainous and Plain Villages of Amol County in Iran. Village and Development, 24(3), 172-196. [in
Persian]
[25]Nowroozi, H., Mohamadi, S., Hosseinikhah, H., & Sadghi, A. (2021). Analysis of Instability of Human
Settlements in Land Area with Emphasis on Earthquake Risk Management (Case study: Gachsaran County).
Regional Planning, 11(43), 79-95. [in Persian]
[26]O'Keefe, P., Westgate, K., and Wisner, B. (1976). Taking the Naturalness Out of Natural Disasters[J]. Nature,
260 (5552), 566–567.
[27]Oulahen, G., Mortsch, L., O’Connell, E., Harford, D., & Rutledge, A. (2019). Local practitioners’ use of 
vulnerability and resilience concepts in adaptation to flood hazards. Clim. Change, 153(1), 41–58.
[28]Rajaei, S. A., Mansourian, H., & Soltani, M. (2021). Spatial analysis of urban resilience against earthquakes
Case study: Region 1 of Tehran. Sustainable city, 4(1), 1-13. [in Persian]
[29]Riahei, V., & Mogadasi, Y. (2023). Analysis of the Vulnerability of the Villages of Eshtehard City Against
Earthquakes. Geography and Development, 21(70), 181-206. [in Persian]
[30]Schilling, J., Hertig, E., Tramblay, Y., & Scheffran, J. (2020). Climate change vulnerability, water resources
and social implications in North Africa. Reg. Environ. Change, 20(1), 1–12.
[31]Wang, X., Wang, X., Zhang, X., Wang, L., Guo, H., & Li, D. (2023). Near real-time spatial prediction of
earthquake-induced landslides: A novel interpretable self-supervised learning method, International Journal
of Digital Earth, 16:1, 1885-1906.
[32]Yariyan, P., Zabihi, H., Wolf, I. D., Karami, M., & Amiriyan, S. (2020). Earthquake risk assessment using
an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study
of Sanandaj in Iran. Int. J. Disaster Risk Reduct., 50, 101705.
[33]Zangiabadi, A., & Dadbood, A. (2021). Spatial Analysis of Vulnerability Clusters in Physical Texture of
Gorgan City against Earthquake, Using Spatial Statistics. Human Geography Research, 53(1), 23-34. [in
Persian]