Research Article

A-GIS based disaster risk assessment: The case of Muğla

Volume: 8 March 25, 2026

A-GIS based disaster risk assessment: The case of Muğla

Abstract

Disasters are events occurring under the influence of natural and human-caused factors and leading to significant losses of life and property in a short period of time. So, the determination of the local disaster risks and minimizing their destructive effects have an importance both for urban planning and disaster management processes. It is necessary to manage these processes correctly and effectively to ensure environmental, social, and economic sustainability in urban areas which has a dense population and building stock. From this viewpoint, the study aims to reveal the current disaster risks in settlements and coastal areas. Muğla city is determined as the study area. Spatial analyses are performed for disaster risk by using Geographical Information Systems (GIS) tools and Weighted Overlay method considering the natural elements (slope, solar radiation, precipitation, etc.) and built environment elements (land use pattern, etc.) that significantly affect the disaster risk. In addition, satellite images (CORINE Land Cover) are significantly utilized in the analysis process which are obtained through Remote Sensing (RS). The data obtained from these images have provided significant contributions to determining the spatial distribution of the natural and built environment elements and comprising the thematic layers required for risk analysis. The findings obtained from the study and the determinations made within the scope of the Muğla Provincial Disaster Risk Reduction Plan (IRAP) prepared by the Disaster and Emergency Management Presidency (AFAD) are evaluated comparatively. As a result, it has been seen that the determinations put forward for disaster risks have shown consistency and the disaster risk varies by districts throughout Muğla city

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References

  1. AFAD. (2018). Retrieved January 10, 2025, from https://www.afad.gov.tr/kurumlar/afad.gov.tr/35429/xfiles/turkiye_de_afetler.pdf.
  2. AFAD. (2023). Retrieved January 10, 2025, from https://www.afad.gov.tr/kurumlar/afad.gov.tr/39499/xfiles/deprem_haritasi.pdf.
  3. AFAD. 2024). Retrieved January 11, 2025, from https://www.afad.gov.tr/kurumlar/afad.gov.tr/e_Kutuphane/Istatistikler/2023yilidogakaynakliolayistatistikleri-_1_.pdf.
  4. Atalay, İ. (2015). Türkiye’nin toprak coğrafyası. Meta.
  5. Başara, A. C., & Şişman, Y. (2021). Landslide susceptibility mapping of Tokat (Turkey) province using weight of evidence and random forest. Advanced GIS, 1(1), 1–7. https://izlik.org/JA55MM27SW.
  6. CRED. (2024). Centre for Research on the Epidemiology of Disasters (CRED). Annual disaster statistical review. Retrieved January 15, 2025, from https://files.emdat.be/2024/04/CredCrunch74.pdf
  7. Çitfçi, H., & Kuşak, L. (2021). Determination of unsuitability points on the route of Van Gölü-Kapıköy railway line by using GIS and AHP method. Advanced GIS, 1(1), 27–37. http://publish.mersin.edu.tr/index.php/agis/index.
  8. Çolak, E., Bediroğlu, G., & Memişoğlu Baykal, T. (2024). GIS-based determination of potential snow avalanche areas: A case study of Rize province of Türkiye. International Journal of Engineering and Geosciences, 9(2), 199–210. https://doi.org/10.26833/ijeg.1367334.

Details

Primary Language

English

Subjects

Geographical Information Systems (GIS) in Planning

Journal Section

Research Article

Publication Date

March 25, 2026

Submission Date

May 8, 2025

Acceptance Date

October 8, 2025

Published in Issue

Year 2026 Volume: 8

APA
Dikbıyık, D., & Partigöç Şüyün, N. S. (2026). A-GIS based disaster risk assessment: The case of Muğla. Turkish Journal of Remote Sensing, 8, 1-20. https://doi.org/10.51489/tuzal.1695508
AMA
1.Dikbıyık D, Partigöç Şüyün NS. A-GIS based disaster risk assessment: The case of Muğla. TJRS. 2026;8:1-20. doi:10.51489/tuzal.1695508
Chicago
Dikbıyık, Doğukan, and Nur Sinem Partigöç Şüyün. 2026. “A-GIS Based Disaster Risk Assessment: The Case of Muğla”. Turkish Journal of Remote Sensing 8 (March): 1-20. https://doi.org/10.51489/tuzal.1695508.
EndNote
Dikbıyık D, Partigöç Şüyün NS (March 1, 2026) A-GIS based disaster risk assessment: The case of Muğla. Turkish Journal of Remote Sensing 8 1–20.
IEEE
[1]D. Dikbıyık and N. S. Partigöç Şüyün, “A-GIS based disaster risk assessment: The case of Muğla”, TJRS, vol. 8, pp. 1–20, Mar. 2026, doi: 10.51489/tuzal.1695508.
ISNAD
Dikbıyık, Doğukan - Partigöç Şüyün, Nur Sinem. “A-GIS Based Disaster Risk Assessment: The Case of Muğla”. Turkish Journal of Remote Sensing 8 (March 1, 2026): 1-20. https://doi.org/10.51489/tuzal.1695508.
JAMA
1.Dikbıyık D, Partigöç Şüyün NS. A-GIS based disaster risk assessment: The case of Muğla. TJRS. 2026;8:1–20.
MLA
Dikbıyık, Doğukan, and Nur Sinem Partigöç Şüyün. “A-GIS Based Disaster Risk Assessment: The Case of Muğla”. Turkish Journal of Remote Sensing, vol. 8, Mar. 2026, pp. 1-20, doi:10.51489/tuzal.1695508.
Vancouver
1.Doğukan Dikbıyık, Nur Sinem Partigöç Şüyün. A-GIS based disaster risk assessment: The case of Muğla. TJRS. 2026 Mar. 1;8:1-20. doi:10.51489/tuzal.1695508

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