Use of UAVs in Earthquakes and UAV Base Location Selection for a Possible Marmara Earthquake

Year 2024, Volume: 8 Issue: 3, 243 - 251

Murat Yazırdağ , Şenol Altan

https://doi.org/10.30518/jav.1541758

Abstract

UAV’s are widely used in many fields today, and one of the most important of these fields is disaster management. The most significant disaster that comes to mind when mentioning disasters is undoubtedly earthquakes. UAV’s are used to support search and rescue operations before and especially after an earthquake. As Türkiye is located in an earthquake zone, earthquakes have affected and will continue to affect us from past to present. The Marmara earthquake, which is predicted to occur in the coming years, will cause great destruction considering the population density of the region. In this study, the use of UAV’s in earthquakes and the selection of the most suitable UAV base location for quick intervention without being affected by a potential Marmara earthquake was conducted using the TOPSIS method, which is one of the multi-criteria decision-making methods with criteria weights. As for the UAV class, MALE class UAV’s, which are produced by Türkiye and classified by NATO, were preferred due to their mission duration and payload capacity. While determining the alternatives, seven airports close to the Marmara region but not on the fault line were selected. The criteria and their weights were determined based on the opinions of five UAV pilots, and a total of six criteria were chosen. As a result of applying the TOPSIS method, Sivrihisar Aviation Center was determined to be the most suitable UAV base for intervention in a potential Marmara earthquake, being the closest to the ideal solution among the selected alternatives.

Keywords

unmanned aeiral vehicles, earthquake, multi criteria decision making, TOPSIS, locaiton selection

References

• AFAD, (2024). www.afad.gov.tr/deprem_nedir (Accessed: 17.05.2024).
• AFAD, (2024). www.afad.gov.tr/turkiye-deprem-tehlike-haritasi (Accessed: 17.05.2024).
• Akkan, M.M., & Arık, M. (2024). Understanding Post-Earthquake Risks: An Analysis for a Potential Marmara Earthquake. Academic Approaches Journal, 15(1), Earthquake Special Issue, 75-114.
• Alp, S., Engin, T. (2011). Analysis and Evaluation of the Relationship Between Traffic Accident Causes and Consequences Using TOPSIS and AHP Methods. Istanbul Commerce University Journal of Science and Technology, 10(19), 65-87.
• Anadolu Agency, (2023). https://aa.com.tr/tr/6-subat-depremlerinin-birinci-yili/mehmetcik-6-subat- depremlerinde-yaralarin-sarilmasi-icin-sahadaydi/3129286 (Accessed: 10.05.2024).
• Anadolu Agency, (2023). https://www.aa.com.tr/tr/gundem/aksungur-iha-ile-deprem-bolgesine-baz- istasyonu-hizmeti/2812580 (Accessed: 10.05.2024).
• Bei, W., et al. (2021). Research on Natural Disaster Early Warning System Based on UAV Technology. IOP Conference Series: Earth and Environmental Science, 787(2021), 1-8.
• Behzadian, M., Otaghsara, S.K., Yazdani, M., Ignatius, J. (2012). A State-of-the-Art Survey of TOPSIS Applications. Expert Systems with Applications, 39(2012), 13051-13069.
• Bravo, R., & Leiras, A. (2015). Literature Review of the Application of UAVs in Humanitarian Relief. XXXV Encontro Nacional de Engenharia de Producao, 13-16 October, Fortaleza, Brazil, 1-15.
• Canözü, Ö. (2022). Automatic Detection of Damaged Buildings Using 3D Point Clouds and Existing Cadastre Maps Generated from Images Provided by UAVs After an Earthquake. Master's Thesis, Karadeniz University Institute of Science, Trabzon.
• Çağlı, A.İ. (2010). General Structure of the Individual Retirement System and Evaluation of Pension Fund Performance Using TOPSIS Method. Master's Thesis, Marmara University, Banking and Insurance Institute, Istanbul.
• Eisenbeiss, H. (2004). A Mini Unmanned Aerial Vehicle (UAV): System Overview and Image Acquisition. International Workshop on "Processing and Visualization Using High-Resolution Imagery" 18-20 November 2004, Pitsanulok, Thailand.
• Erdelj, M., Natalizio, E., Chowdhury, K.R., & Akyıldız, I.F. (2017). Help from the Sky: Leveraging UAVs for Disaster Management. IEEE Pervasive Computing, 16(1), 24-32.
• Gülüm, P. (2021). Analysis of Post-Earthquake Fire Risks Using Fuzzy Multi-Criteria Decision-Making Methods and Clustering Approach with Self-Organizing Maps for UAV Intervention. Master's Thesis, Yıldız Technical University, Institute of Science, Istanbul.
• Halat, M., & Özkan, Ö. (2020). The Optimization of UAV Routing Problem with a Genetic Algorithm to Observe the Damages of Possible Istanbul Earthquake. Pamukkale University Journal of Engineering Sciences, 27(2), 187-198.
• Haser, A.B. (2010). Had We Not Used This Unmanned Aerial Vehicle Before?, Science and Technology Magazine, December 2010.
• Hwang, C., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications, A State-of-the-Art Survey. Springer-Verlag, New York.
• International Civil Aviation Organization (ICAO). Manual on Remotely Piloted Aircraft Systems (RPAS); ICAO: Montréal, QC, Canada, 2015.
• İşçi, Ç. (2008). What is an Earthquake and How Can We Protect Ourselves?, Yaşar University E-Journal, İzmir, 3, 9, 959-983.
• Kallo, Z. (2015). Performance Evaluation of Participation Banks: International Comparison Using TOPSIS and PROMETHEE Methods. Master's Thesis, Dokuz Eylül University Institute of Social Sciences, İzmir.
• Maden Tetkik ve Arama Genel Müdürlüğü (MTA) (2023). Turkey's Earthquake Potential. https://www.mta.gov.tr/v3.0/bilgi-merkezi/deprem_potansiyeli (Accessed: 17.05.2024).
• Maraş, E.E., & Sarıyıldız, H.İ. (2023). Detection of Damaged Structures Using Deep Learning Algorithms with UAVs. Afyon Kocatepe University Journal of Science and Engineering, 23(2023), 427-437.
• Ömürbek, V., & Kınay, B. (2013). Financial Performance Evaluation in the Airline Transportation Sector Using
• TOPSIS Method. Suleyman Demirel University Faculty of Economics and Administrative Sciences Journal, 18(3), 343-363.
• Ruzgienė, B., Berteška, T., Gečyte, S., Jakubauskienė, E., & Aksamitauskas, V.Č. (2015). The Surface Modelling Based on UAV Photogrammetry and Qualitative Estimation. Measurement, 73, 619-627.
• Salih Akyürek, Mehmet Ali Yılmaz, Mustafa Taşkıran. "Unmanned Aerial Vehicles: A Revolutionary Transformation in the Battlefield and Counter-Terrorism." BİLGESAM, Bilge Adamlar Strategic Research Center, Report No:53, Ankara, December 2012, 1-57.
• Sarıyıldız, H.İ. (2021). Detection of Damaged Structures Using Satellite Images and Deep Learning Algorithms with UAVs. Ondokuz Mayıs University Graduate School of Education, Samsun.
• SHGM, SHT-UAV, (2016). http://web.shgm.gov.tr/ (Accessed: 01.05.2024).
• Milev, N., Tobita, T., Kiyota, T., Shiga, M., (2023). Rapid Detection of Landslide Mechanisms and Assessment of Their Geometry and Dimensions by Means of a Drone Survey (UAV) After the 2023 Turkey-Syria Earthquake. IOP Conference Series: Materials Science and Engineering, 1297 (2023), 1-9.