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Nötrosofik Analitik Hiyerarşi Süreci (N-AHS) ve CBS Teknikleri Kullanılarak Melet Havzası'nda (Türkiye) Taşkın Risk Değerlendirmesi

Year 2024, Volume: 10 Issue: 2, 295 - 313, 18.07.2024

Murat Fıçıcı

https://doi.org/10.21324/dacd.1407354
Cited By: 1

Abstract

Günümüzde CBS (Coğrafi Bilgi Sistemleri) tabanlı ÇKKV (Çok Kriterli Karar Verme) yaklaşımları kullanılarak taşkın riskinin mekansal dağılımının bilinmesi birçok araştırmacının ele aldığı bir konu olmuştur. Bu bağlamda mevcut çalışma, N-AHS (Nötrosofik Analitik Hiyerarşi Süreci) tabanlı CBS yaklaşımını kullanarak taşkın riskinin mekansal dağılımına odaklanmaktadır. Önerilen yaklaşım Melet Havzası'nda (Türkiye) bir örnek olay olarak incelenmiştir. Yöntemin uygulama aşamasında dört karar verici taşkın kriterlerini dilsel terimler kullanarak birbirleriyle karşılaştırmıştır. Karar vericilerin görüşleri N-AHS ile birleştirilerek kriterler ağırlıklandırılmıştır. Sonuçlar, yağış, nehirden uzaklık, drenaj yoğunluğu, arazi kullanımı ve eğimin taşkını etkileyen en önemli faktörler olduğunu ve bu faktörlerin yaklaşık %74 oranında taşkına neden olduğu belirlenmiştir. Bunun dışında havzanın %10'unun yüksek ve çok yüksek taşkın riski sınıflarında yer aldığı ve bu riskli alanların geçmiş dönemlerin taşkın noktalarıyla örtüştüğü görülmüştür. Önerilen yaklaşım ve bulguların teorik ve pratik çıkarımlara sahip olması beklenmektedir.

Keywords

Nötrosofik Küme ÇKVV-GIS AHS Taşkın Riski Melet Havzası Türkiye

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Flood risk assessment using Neutrosophic Analytical Hierarchy Process (N-AHP) and GIS techniques in the Melet Basin (Türkiye)

Year 2024, Volume: 10 Issue: 2, 295 - 313, 18.07.2024

Murat Fıçıcı

https://doi.org/10.21324/dacd.1407354
Cited By: 1

Abstract

Today, knowing the spatial distribution of flood risk using GIS (Geographic Information Systems)-based MCDM (Multi-Criteria Decision Making) approaches has been a topic addressed by many researchers. In this context, the current study focuses on the spatial distribution of flood risk using the N-AHP (Neutrosophic Analytical Hierarchy Process)-based GIS approach. The Melet Basin (Türkiye) is a case study for the suggested methodology. Four decision-makers used linguistic phrases to compare and assess the flood criteria during the method's application phase. The opinions of the decision makers were combined with the N-AHP, and the criteria were weighted. The results determined that precipitation, distance from the river, drainage density, land use, and slope were the most important factors affecting the flood and contributed approximately 74%. Apart from this, it has been observed that 10% of the basin is in the high and very high flood risk classes, and these risky areas overlap with the flood points of past periods. The proposed approach and findings are anticipated to have theoretical and practical implications.

Keywords

Neutrosophic Set MCDM-GIS AHP Flood Risk Melet Basin Türkiye

References

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  • Foudi, S., Osés-Eraso, N., & Tamayo, I. (2015). Integrated spatial flood risk assessment: the case of Zaragoza. Land Use Policy, 42, 278–292. https://doi.org/10.1016/j.landusepol.2014.080.002
  • Ghosh, A., & Kar, S.K. (2018). Application of analytical hierarchyprocess (AHP) for flood risk assessment: a case study in Malda district of West Bengal, India. Natural Hazards, 94, 349–368. https://doi.org/10.1007/s11069-018-3392-y
  • Hagos, Y.G., Andualem, T.G., Yibeltal, M., & Mengie, M.A. (2022). Flood hazard assessment and mapping using GIS integrated with multi-criteria decision analysis in upper Awash River basin, Ethiopia. Applied Water Science, 12(7), 1–18. https://doi.org/10.1007/s13201-022-01674-8
  • Hammami, S., Zouhri, L., Souissi, D., Souei, A., Zghibi, A., Marzougui, A., & Dlala, M. (2019). Application of the GIS based multi-criteria decision analysis and analytical hierarchy process (AHP) in the flood susceptibility mapping (Tunisia). Arabian Journal of Geoscience, 12, Article 653. https://doi.org/10.1007/s12517-019-4754-9
  • Hategekimana, Y., Yu, L., Nie, Y., Zhu, J., Liu, F., & Guo, F. (2018). Integration of multi-parametric fuzzy analytic hierarchy process and GIS along the UNESCO World Heritage: a flood hazard index, Mombasa County, Kenya. Natural Hazards, 92, 1137–1153. https://doi.org/10.1007/s11069-018-3244-9
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  • Jun, K-S., Chung, E-S., Kim, Y-G., & Kim, Y. (2013). A fuzzy multi-criteria approach toflood risk vulnerability in South Korea by considering climate change impacts. Expert Systems with Applications, 40, 1003–1013. https://doi.org/10.1016/j.eswa.2012.08.013
  • Kanani-Sadat, Y., Arabsheibani, R., Karimipour, F., & Nasseri, M. (2019). A new approach to flood susceptibility assessment in data-scarce and ungauged regions based on GIS-based hybrid multi criteria decision-making method. Journal of Hydrology, 572, 17–31. https://doi.org/10.1016/j.jhydrol.2019.02.034
  • Kaur, G., & Garg, H. (2022). A new method for image processing using generalized linguistic neutrosophic cubic aggregation operator. Complex and Intelligent Systems, 8, 4911–4937. https://doi.org/10.1007/s40747-022-00718-5
  • Keskin, İ. (2011). 1/100.000 scale Türkiye geological maps Perşembe-F39 and Giresun-G39 sheets. MTA Publication.
  • Lai, C., Chen, X., Chen, X., Wang, Z., Wu, X., & Zhao, S. (2015). A fuzzy comprehensive evaluation model for flood risk based on the combination weight of game theory. Natural Hazards, 77, 1243–1259. https://doi.org/10.1007/s11069-015-1645-6
  • Lappas, I., & Kallioras, A. (2019). Flood susceptibility assessment through GIS-based multi-criteria approach and analytical hierarchy process (AHP) in a River Basin in Central Greece. International Research Journal of Engineering and Technology, 6(3), 738–751.
  • Li, C., Chai, Y., Yang, L., & Li, H. (2016). Spatio-temporal distribution of flooddisastersandanalysis of influencingfactors in Africa. Natural Hazards, 82, 721–31. https://doi.org/10.1007/s11069-016-2181-8
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There are 63 citations in total.

Details

Primary Language English
Subjects Natural Hazards
Journal Section Research Articles
Authors

Murat Fıçıcı 0000-0003-1508-7738

Publication Date July 18, 2024
Submission Date December 20, 2023
Acceptance Date March 24, 2024
Published in Issue Year 2024 Volume: 10 Issue: 2

Cite

APA Fıçıcı, M. (2024). Flood risk assessment using Neutrosophic Analytical Hierarchy Process (N-AHP) and GIS techniques in the Melet Basin (Türkiye). Doğal Afetler Ve Çevre Dergisi, 10(2), 295-313. https://doi.org/10.21324/dacd.1407354
AMA Fıçıcı M. Flood risk assessment using Neutrosophic Analytical Hierarchy Process (N-AHP) and GIS techniques in the Melet Basin (Türkiye). J Nat Haz Environ. July 2024;10(2):295-313. doi:10.21324/dacd.1407354
Chicago Fıçıcı, Murat. “Flood Risk Assessment Using Neutrosophic Analytical Hierarchy Process (N-AHP) and GIS Techniques in the Melet Basin (Türkiye)”. Doğal Afetler Ve Çevre Dergisi 10, no. 2 (July 2024): 295-313. https://doi.org/10.21324/dacd.1407354.
EndNote Fıçıcı M (July 1, 2024) Flood risk assessment using Neutrosophic Analytical Hierarchy Process (N-AHP) and GIS techniques in the Melet Basin (Türkiye). Doğal Afetler ve Çevre Dergisi 10 2 295–313.
IEEE M. Fıçıcı, “Flood risk assessment using Neutrosophic Analytical Hierarchy Process (N-AHP) and GIS techniques in the Melet Basin (Türkiye)”, J Nat Haz Environ, vol. 10, no. 2, pp. 295–313, 2024, doi: 10.21324/dacd.1407354.
ISNAD Fıçıcı, Murat. “Flood Risk Assessment Using Neutrosophic Analytical Hierarchy Process (N-AHP) and GIS Techniques in the Melet Basin (Türkiye)”. Doğal Afetler ve Çevre Dergisi 10/2 (July 2024), 295-313. https://doi.org/10.21324/dacd.1407354.
JAMA Fıçıcı M. Flood risk assessment using Neutrosophic Analytical Hierarchy Process (N-AHP) and GIS techniques in the Melet Basin (Türkiye). J Nat Haz Environ. 2024;10:295–313.
MLA Fıçıcı, Murat. “Flood Risk Assessment Using Neutrosophic Analytical Hierarchy Process (N-AHP) and GIS Techniques in the Melet Basin (Türkiye)”. Doğal Afetler Ve Çevre Dergisi, vol. 10, no. 2, 2024, pp. 295-13, doi:10.21324/dacd.1407354.
Vancouver Fıçıcı M. Flood risk assessment using Neutrosophic Analytical Hierarchy Process (N-AHP) and GIS techniques in the Melet Basin (Türkiye). J Nat Haz Environ. 2024;10(2):295-313.

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