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Journals / Coğrafya Dergisi / 2022 / Sayı: 44

An Alternative Process for Determining Erosion Risk: The Fuzzy Method

Gülşen Kum(Gaziantep University, Faculty of Arts and Sciences, Department of Geography, Gaziantep, Turkey)0000-0002-1617-1723
Mehmet Emin Sönmez(Gaziantep University, Faculty of Arts and Sciences, Department of Geography, Gaziantep, Turkey)0000-0003-2940-3308
Abdullah Kargın(Gaziantep University, Faculty of Arts and Sciences, Department of Mathematics, Gaziantep, Turkey)0000-0003-4314-5106
Pages
219–229
Publication Date
2022-07-08
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result, the fuzzy method has been revealed to be able to be used exclusively for evaluating erosion risk in areas with semi-arid climate characteristics and to even be an effective tool for guiding actions at preventing erosion.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study reveals the status of erosion risk, which is a very important soil and environmental problem, in Gaziantep in order to test the reliability of the fuzzy method.
📊
Key Findings & Data:The compatibility of both methods has been provided by comparing the values at 100 geographic points that had been selected.
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Conclusion & Impact:As a result, the fuzzy method has been revealed to be able to be used exclusively for evaluating erosion risk in areas with semi-arid climate characteristics and to even be an effective tool for guiding actions at preventing erosion.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Fuzzy method · AHP · erosion

Abstract

This study reveals the status of erosion risk, which is a very important soil and environmental problem, in Gaziantep in order to test the reliability of the fuzzy method. The study evaluates vegetation cover, lithological structure, slope, and precipitation as erosion indicators to determine the effectiveness of the frequently used analytic hierarchy process (AHP) and Fuzzy methods at identifying erosion risk. A weight value was assigned to each parameter using both the AHP and fuzzy methods; afterwards, mapping and analysis were carried out in the program Geographic Information System (GIS). The compatibility of both methods has been provided by comparing the values at 100 geographic points that had been selected. In accordance with these results, the AHP and fuzzy methods were determined to be highly compatible with each other. When considering the evaluation obtained as a result of the methodological comparison, while values were observed to be very similar in the categories of medium and high erosion, the similarity rates decreased in the categories of low and very low erosion. As a result, the fuzzy method has been revealed to be able to be used exclusively for evaluating erosion risk in areas with semi-arid climate characteristics and to even be an effective tool for guiding actions at preventing erosion.

Özet

Çalışmada Bulanı metodunun güvenilirliğini test etmek amacıyla çok önemli bir toprak ve çevre sorunu olan erozyonun Gaziantep şehrindeki risk durumu ortaya konulmuştur. Erozyon göstergeleri olarak bitki örtüsü, litolojik yapı, eğim ve yağış parametrelerinin değerlendirildiği çalışmada erozyon riskinin belirlenmesinde sıkça kullanılan Analitik Hiyerarşi Süreci (AHP) ile Bulanık metodu bir arada kullanılmıştır. Saha içerisinde her parametreye AHP ve Bulanık yöntemleri ile bir ağırlık değeri atanmış ve daha sonra Coğrafi Bilgi Sistemleri (CBS) ortamında haritalama ve analiz gerçekleştirilmiştir. Seçilen 100 noktanın AHP ve Bulanık’taki değerleri karşılaştırılarak her iki yöntemin uyumluluk durumu ortaya konulmuştur. Buna göre AHP ile BULANIK metodun yüksek oranda birbiri ile uyum gösterdiği tespit edilmiştir. Dolayısıyla Gaziantep gibi yarı kurak iklim özelliklerine sahip alanlarda erozyon risk durumunun değerlendirilmesinde BULANIK metodunun tek başına kullanılmasında bir sakınca olmadığı, hatta erozyon koruyucu eylemlere rehberlik etmek için etkili bir araç olabileceği ortaya konulmuştur.

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Cite This Article

Kum, G., Sönmez, M. E., Kargın, A., *, G. K. (2022). An Alternative Process for Determining Erosion Risk: The Fuzzy Method. Coğrafya Dergisi, Sayı: 44, 219–229. https://doi.org/10.26650/JGEOG2022-1058416

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References (41)

  1. Abuzaid, A. S., AbdelRahman, M. A., Fadl, M. E., & Scopa, A. (2021). Land Degradation Vulnerability Mapping in a Newly-Reclaimed Desert Oasis in a Hyper-Arid Agro-Ecosystem Using AHP and Geo-spatial Techniques. Agronomy, (11), 1-23. google scholar
  2. Ai, L., Fang, N. F., Zhang, B., & Shi, Z. H. (2013). Broad area mapping of monthly soil erosion risk using fuzzy decision tree approach: in-tegration of multi-source data within GIS. International Journal of Geographical Information Science, 27(6), 1251-1267. google scholar
  3. Arabameri, A., Pradhan, B., Pourghasemi, H. R., Rezaei, K., & Kerle, N. (2018). Spatial Modelling of Gully Erosion Using GIS and R Programing: A Comparison among Three Data Mining Algorithms. Apllied Science, (8), 1-22. google scholar
  4. Atalay, İ. (1974). Sultandağları’nda Toprak Erozyonu Araştırmaları. Türk Coğrafya Dergisi, 26, 48-72. google scholar
  5. Aydınalp, C. (2000). Türkiye’nin Toprak Sorunları. Anadolu Ege Tarımsal Araştırma Enstitüsü Dergisi, 10(1), 135-143. google scholar
  6. Bahrami, H. A., Vaghei, H. G., Vaghei, B. G., Tahmasbipour, N., & Taliey-Tabari, F. (2005). A New Method for Determining the Soil Erodibility Factor Based on Fuzzy Systems. J. Agric. Sci. Technol. (7), 115-123. google scholar
  7. Belloula, M., Dridi, H., & Kalla, M. (2020). Spatialization of water erosion using analytic hierarchy process (AHP) method in the high valley of the Medjerda, eastern Algeria. Journal of Water and Land Development, 44(I-III), 19-25. google scholar
  8. Benzer, N. (2010). Using the Geographical Information System and Re-mote Sensing Techniques for Soil Erosion Assessment. Polish J. of Environ. Stud., 19(5), 881-886. google scholar
  9. Boroumandi, M., Khamehchiyan, M., & Nikoudel, M. R. (2015). Using of Analytic Hierarchy Process for Landslide Hazard Zonation in Zanjan Province, Iran. Engineering Geology for Society and Terri-tory, (2), 951-955. google scholar
  10. Britannica. (2022). Britannica. 06. 25. 2022 tarihinde britannica. com:https://www.britannica.com/science/Mediterranean-climate adresinden alınmıştır. google scholar
  11. Chakraborty, R., Das, D., Barman, R. N., & Mandal, U. K. (2016). An-alytic Hierarchy Process and Multi-criteria decision-making Ap-proach for Selecting the Most Effective Soil Erosion Zone in Goma-ti River Basin. International Journal of Engineering Research & Technology, 5(1), 595-600. google scholar
  12. Chowdhury, S. R., & Tripathi, N. K. (2013). Coastal erosion and accre-tion in Pak Phanang, Thailand by GIS analysis of maps and satellite imagery. Songklanakarin J. Sci. Technol., 35(6), 739-748. google scholar
  13. Çakılcı, C., & Öztürkoğlu, Y. (2020). Analysis of Sustainable E-Logis-tics Activities with Analytic Hierarchy Process. Journal of Business Research, 12(1), 489-497. google scholar
  14. Çelebi, H. (2010). JEOLOJİK VE HIZLANDIRILMIŞ EROZYON SÜREÇLERİ. Atatürk Üniversitesi Ziraat Fakültesi Dergisi, 6(3). google scholar
  15. Dvorak J, N. L. ( 1994 ). Developments In Soil In: Chapter 2 Erosion of the soil. In:. vol 23, Amsterdam: Science Elsevier, pp 25-38. google scholar
  16. Dubois, D., Prade, H. (1980). Fuzzy sets and systems: Theory and appli-cations. Academic Press, NewYork. google scholar
  17. earthworm. (2021, 01 01). earthworm. 12 20, 2021 tarihinde https://www. earthworm.org: https://www.earthworm.org/ adresinden alındı. google scholar
  18. Erpul, G, Saygın, S. (2012). Ülkemizde toprak erozyonu sorunu üzerine: Ne yapmalı? Toprak Bilimi ve Bitki Besleme Dergisi, 1(1), 26-32. issue/22380/239620. google scholar
  19. Fauzi, M., Suprayogi, I., Sutikno, S., Sandhyavitri, A., & Riyawan, E. (2017). Development of erosion risk map using fuzzy logic ap-proach. Sriwijaya International Conference on Engineering, Sci-ence and Technology (s. 1-5). Bangka Island, Indonesia: MATEC Web of Conferences. google scholar
  20. Ganasri, B. P., & Ramesh, H. (2016). Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Ne-thravathi Basin. Geoscience Frontiers, (7), 953-961. google scholar
  21. Independent Educational Consultants Association (IECA). (2021). 12. 20. 2021 tarihinde austieca.com: https://www.austieca.com.au/ adresinden alınmıştır. google scholar
  22. Jabbar, M. T. (2003). Application of GIS to Estimate Soil Erosion Using RUSLE. Geo-spatial Information Science (Quarterly), 6(1), 34-37. google scholar
  23. Kabo-bah, K. J., Guoan, T., Yang, X., Na, J., & Xiong, L. (2021). Ero-sion potential mapping using analytical hierarchy process (AHP) and fractal dimension. Heliyoın, 7(6), 1-7. google scholar
  24. Meade, R. H., Nordin, C. F. Jr., Curtis, W. F., Rodrigues, F. M. C., Vale, C. M. do and Edmond, J. M. (1979). Sediments Loads in Amazon River. Nature, 278, 162-164. google scholar
  25. Mitasova, H., Barton, M., Ullah, I., Hofierka, J., & Harmon, R. S. (2013). GIS-based soil erosion modeling. J. F. Shroder, & M. P. Bishop içinde, Treatise on Geomorphology (s. 228-258). San Di-ego: Academic Press. google scholar
  26. National Aeronautics and Space Administration (NASA). (2021). Tur-key Experiences Intense Drought. NASA: https://earthobservatory. nasa.gov/images/147811/turkey-experiences-intense-drought adresinden alınmıştır. google scholar
  27. Neji, N., Ben Ayed, R., & Abida, H. (2021). Water erosion hazard map-ping using analytic hierarchy process (AHP) and fuzzy logic mod-eling: a case study of the Chaffar Watershed (Southeastern Tunisia). Arabian Journal of Geosciences, (14), 1-15. google scholar
  28. Ojo, O. I., Olawoyin, A. A., Akinyemi, M. O., & Omidiora, E. O. (2015). Performance Evaluation of a Developed Fuzzy-Based Model for Predicting Soil Degradation. Journal of Environment and Earth Sci-ence, 5(21), 78-90. google scholar
  29. Osman, K. T. (2013). Forest Soils: Properties and Management Softcov-er of the original 1st ed. 2013 Edition. Springer Internatinal Publish-ing Switzerland. google scholar
  30. Sarjono, H., Seik, O., Defan, J., & Simamora, B. H. (2020). Analytical Hierarchy Process (Ahp) In Manufacturing And Non-Manufactur-ing Industries: A Systematic Literature Review. Sys Rev Pharm, 11(11), 158- 170. google scholar
  31. Schmidt, K., Babac, A., Pauer, F., Damm, K., & von der Schulenburg, J.-M. (2016). Measuring patients’ priorities using the Analytic Hier-archy Process in comparison with Best-Worst-Scaling and rating cards: methodological aspects and ranking tasks. Health Economics Review, (6), 1-11. google scholar
  32. Shadmaan, S., & Ibne Islam, A. (2021). Estimation of earthquake vul-nerability by using analytical hierarchy proces. Natural Hazard Re-search, 1(4), 1-24. google scholar
  33. Sönmez, M. E. (2012). Yerleşme Yeri Seçimi ve Alansal Gelişimi Bakımından Gaziantep Şehri, Özserhat Yayıncılık, Malatya. google scholar
  34. Sönmez, M. E., Çelik, M. A., Seven, M. (2013). Coğrafi Bilgi Sistemleri ve Uzaktan Algılama Yardımıyla Kilis Merkez İlçesinin Erozyon Risk Alanlarının Belirlenmesi. Kahramanmaraş: KSÜ Sosyal Bilimler Dergisi / KSU Journal of Social Sciences, 10(1). google scholar
  35. Şahin, M., & Yurdugül, H. (2018). A Content Analysis Study on the Use of Analytic Hierarchy Process in Educational Studies. Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi, 9(4), 376-392. google scholar
  36. Tairi, A., Elmouden, A., & Aboulouafa, M. (2019). Soil Erosion Risk Mapping Using the Analytical Hierarchy Process (AHP) and Geo-graphic Information System in the Tifnout-Askaoun Watershed, Southern Morocco. European Scientific Journal, 15(30), 338-356. google scholar
  37. Turkish Foundation for Combatting Soil Erosion (TEMA). (2021). 12. 20. 2021 tarihinde tema.org.tr: https://www.tema.org.tr/anasayfa adresinden alınmıştır. google scholar
  38. United Nations Convention to Combat Desertification (UNCCD). (2017). Scientific Conceptual Framework For Land Degradation Neutrality A Report Of The Science-Policy Interface. Bonn, Germa-ny www.unccd.int/sites/default/files/documents/2019-06/LDN_ CF_report_web-english.pdf. google scholar
  39. Vulevic, T., Dragovic, N., Kostadinov, S., Belanovic Simic, S., & Milo-vanovic, I. (2015). Prioritization of Soil Erosion Vulnerable Areas Using Multi-Criteria Analysis Methods. Pol. J. Environ. Stud. Vol, 24(1), 317- 323. google scholar
  40. Zadeh, L. (1965). Fuzzy Sets. Inform and Control, 8, 338-353. google scholar
  41. Wei, W., Sheming, C., Lin, Z., Lishan, M., Rui, C., & Futian, L. (2020). Research on the Sensitivity Assessment of Soil Erosion by AHP Method: A Case Study in the Northeast of Ordos Basin. ICAEER 2020 (s. 1-4). Shanghai, China: ICAEER. google scholar