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Evaluation of Potential Soil Erosion Areas in the Ladik Lake Basin via AHP and GIS Integration (Samsun, Türkiye)

Yıl 2024, Sayı: 49, 83 - 96, 31.12.2024
https://doi.org/10.26650/JGEOG2024-1452908

Öz

Soil is a fundamental element essential for living organisms, agricultural activities, and food supply. Therefore, the presence and conservation of this fundamental element are crucial for sustainable land management. The Ladik Lake Basin, which was analyzed in this study, is a tectonic basin located in the Northern part of Turkey in the Middle Black Sea Region. Within the scope of this research, soil erosion susceptibility analysis was conducted using Analytical Hierarchy Process (AHP) and Geographic Information Systems (GIS) techniques, considering multiple geographical factors in the Ladik Lake Basin. In the analyses, eight (8) geographical factors were used: slope, soil depth, lithology, elevation, land use, drainage density, drainage frequency, and precipitation. As a result of the analysis, four (4) distinct levels were identified for soil erosion susceptibility, classified as low, moderate, high, and very high, and the findings revealed that 27.44 % of the basin exhibited low susceptibility, 14.63 % moderate susceptibility, 36.30 % high susceptibility, and 21.63 % very high susceptibility to soil erosion. Preventing or slowing soil erosion is possible through various measures. In a basin with intensive agricultural use, appropriate agricultural practices and crop selection based on slope values are the primary considerations. Such studies serve as a guide for decision makers in taking on-site measures to prevent erosion. Additionally, attention is drawn to the necessary efforts for preventing and reducing erosion in the study area based on the results obtained.

Kaynakça

  • Altun, L., Kara, Ö., Akgün, A., Babur, E., and Kezik, U. (2016, Nisan). “Doğu Karadeniz Bölgesinde meydana gelen güncel heyelanlar ve olası çözüm önerileri”. Ulusal Heyelan Sempozyumu, 489-504. Ankara. google scholar
  • Aneseyee, A. B., Elias, E., Soromessa, T., and Feyisa, G. L. (2020). Effects of land use/land cover change on soil erosion and sediment delivery in the Winike Watershed, Omo Gibe Basin, Ethiopia. Science of Total Environment. 728. 138776. https://doi.org/10.1016/j.scitotenv.2020.138776 google scholar
  • Arabameri, A., Rezaei, K., Reza Pourghasemi, H., Lee, S., and Yamani, M. (2018). GIS-based gully erosion susceptibility mapping: A comparison among three data-driven models and AHP knowledge-based technique. Environmental Earth Sciences. 77: 628. https:// doi.org/10.1007/s12665-018-7808-5 google scholar
  • Asfaw, S., Pallante, G., and Palma, A. (2020). Distributional impacts of soil erosion on agricultural productivity and welfare in Malawi. Ecological Economics. 177. 106764 https://doi.org/10.1016/j. ecolecon.2020.106764 google scholar
  • Bahadır, M. ve Uzun, A. (2021). Lâdik Gölü Havzasında arazi kullanımı (Samsun). Kesit Akademi Dergisi. 7 (27). 257-280. http://dx.doi. org/10.29228/kesit.49685 google scholar
  • Bozali, N. (2020). Assessment of the soil protection function of forest ecosystems using GIS-based multi-criteria decision analysis: A case study in Adıyaman, Turkey. Global Ecology and Conservation. 24: e01271. https://doi.org/10.1016/j.gecco.2020.e01271 google scholar
  • Danacıoğlu, Ş. ve Tağıl, Ş. (2017). Bakırçay Havzası’nda Rusle modeli kullanarak erozyon riskinin değerlendirmesi. Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 20 (37). 1-18. http://dx.doi. org/10.31795/baunsobed.645168 google scholar
  • Das, B., Bordoloi, R., Thungon, L. T., Paul, A., Pandey, P. K., Mishra, M., and Tripathi, O. P. (2020). An integrated approach of GIS, RUSLE, and AHP to model soil erosion in the west Kameng watershed, Arunachal Pradesh. Journal of Earth System Science. 129: 94. http://dx.doi.org/10.1007/s12040-020-1356-6 google scholar
  • Demirağ Turan, İ. ve Dengiz, O. (2017). Çok kriterli değerlendirme ile Ankara Güvenç Havzası’nda Erozyon risk tahminlenmesi. Journal of Agricultural Sciences. 23 (3). 285-297. https://doi.org/10.15832/ ankutbd.447600 google scholar
  • Demirağ Turan, İ., Dengiz, O., and Özkan, B. (2019). Spatial assessment and mapping of soil quality index for desertification in the semi-arid terrestrial ecosystems using MCDM in interval type-2 fuzzy environment. Computers and Electronics in Agriculture. 164: 104933. https://doi.org/10.1016/j.compag.2019.104933 google scholar
  • Demirağ Turan, İ. ve Uzun, A. (2021). Analitik Hiyerarşik Süreç ve CBS teknikleri kullanılarak Çorum Çayı Havzasında toprak erozyonu riskinin modellenmesi. Jeomorfolojik Araştırmalar Dergisi. (6). 41-55. https://doi.org/10.46453/jader.843857 google scholar
  • Duman, N. ve İrcan, M. R. (2022). Coğrafi Bilgi Sistemleri ve Uzaktan Algılama tabanında Çankırı Merkez ilçesinin erozyon risk analizi. Coğrafi Bilimler Dergisi. 20 (1). 220-245. https://doi.org/10.33688/ aucbd.1074770 google scholar
  • Ersayın, K. (2022). Heyelan duyarlılığı analizine bir örnek: İyidere Havzası (Rize). Basılmamış Doktora Tezi. Ondokuz Mayıs Üniversitesi Lisansüstü Eğitim Enstitüsü, Coğrafya Anabilim Dalı, 726295, Samsun. google scholar
  • Ebabu, K., Tsunekawa, A., Haregeweyn, N., Adgo, E., Meshesha, D. T., Aklog, D., Masunaga, T., Tsubo, M., Sultan, D., Fenta, A. A., and Yibeltal, M. (2019). Effects of land use and sustainable land management practices on runoff and soil loss in the upper Blue Nile basin, Ethiopia. Science of The Total Environmnent. 648. 14621475. https://doi.org/10.1016/j.scitotenv.2018.08.273 google scholar
  • FAO, ITPS. (2015). Status of the world’s soil resources (SWSR)-Main report. In: Food and Agriculture Organization of the United Nations. google scholar
  • Goepel, K. D. (2013, June). “Implementing the analytic hierarchy process as a standard method for multi-criteria decision making in corporate enterprises-A new AHP excel template with multiple inputs”. Proceedings ofthe International Symposium on the Analytic Hierarchy Process, Kuala Lumpur. https://doi.org/10.13033/isahp. y2013.047 google scholar
  • Gomez, H., and Kavzoğlu, T. (2005). Assessment of shallow landslide susceptibility in Jabonosa River Basin, Venezuela. Engineering Geology. 78 (1-2). 11-27. https://doi.org/10.1016/j.enggeo.2004.10.004 google scholar
  • Guzzetti, F., Carrarra, A., Cardinali, M., and Reichenbach, P. (1999). Landslide hazard evaluation: A review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology. 31 (1-4). 181-216. https://doi.org/10.1016/S0169-555X(99)00078-1 google scholar
  • Horton, R. E. (1945). Erosional development of streams and their drainage basins; hydrophysical approach to quantitative morphology. Geological Society of America Bulletin. 56 (3). 275-370. https://doi. org/10.1130/0016-7606(1945)56[275:EDOSAT]2.0.CO;2 google scholar
  • Intarawichian, N., and Dasananda, S. (2010). Analytical hierarchy process for landslide susceptibility mapping in lower Mae Chaem Watershed, Northern Thailand. Suranaree J Sci Technol. 17 (3). 1-16. https://www.thaiscience.info/journals/ google scholar
  • Küçüker, D. M., and Giraldo, D. C. (2022). Assessment of soil erosion risk using an integrated approach of GIS and Analytic Hierarchy Process (AHP) in Erzurum, Turkiye. Ecological Informatics. 71: 101788. https://doi.org/10.1016/j.ecoinf.2022.101788 google scholar
  • Liu, Q-Q., Chen, L., and Li, J. C. (2001). Effects of slope gradient on soil erosion. Applied Mathematics and Mechanics. 22. 510-519. https://doi.org/10.1023/A:1016303213326 google scholar
  • Lal, R., Hal, G. F., and Miller, F. P. (1989). Soil degradation: I. Basic Process. Land Degradation & Development. 1 (1). 51-69. https:// doi.org/10.1002/ldr.3400010106 google scholar
  • Lal, R. (2001). Soil degradation by erosion. Land Degradation & Development. 12 (6). 519-539. https://doi.org/10.1002/ldr.472 google scholar
  • Leh, M., Bajwa, S., and Chaubey, I. (2013). Impact of land use change on erosion risk: An integrated remote sensing, geographic information system, and modeling methodology. Land Degradation & Development. 24 (5). 409-421. https://doi.org/10.1002/ldr.1137 google scholar
  • Maity, D. K., and Mandal, S. (2019). Identification of groundwater potential zones of the Kumari River basin, India: An RS & GIS based semi-quantitative approach. Environment, Development and Sustainability. 21. 1013-1034. https://doi.org/10.1007/s10668-017-0072-0 google scholar
  • Nicholson, D. T., and Hencher, S. (1997). “Assessing the potential for deterioration of engineered rockslopes”. Proceedings of the IAEG Symposium. 911-917, Athens. google scholar
  • Pimentel, D. (2006). Soil erosion: A food and environmental threat. Environment, Development and Sustainability. 8. 119-137. https:// doi.org/10.1007/s10668-005-1262-8 google scholar
  • Reddy, G. P. O., Maji, A. K., and Gajbhiye, K. S. (2004). Drainage morphometry and its influence on landform characteristics in basaltic terrain, Central India: A remote sensing and GIS approach. International Journal ofApplied Earth Observation and Geoinformation. 6 (1). 1-16. http://dx.doi.org/10.1016/j.jag.2004.06.003 google scholar
  • Renard, K. G., J. M. Laflen, G. R., and Mccool, D. K. (1994). “The revised universal soil loss equation”. Soil Erosion Research Methods (Editor: Lal, R.). 105-124. United States of America, Ankeny: Soil and Water Conservation Society. google scholar
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  • Saaty, T. L. (1989). Hierarchical-multiobjective systems. Control Theory and Advanced Technology. 5 (4). 485-489. google scholar
  • Soeters, R., and Van Westen, C. J. (1996). Slope instability: Recognition, analysis and zonation. Landslides: Investigation and Mitigation (Editors: Turner, A. K. and Shuster, R. L.). Special Report 247. 129177. United States of America, Washington, D.C.: Transportation research Board-National Research Council. google scholar
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Ladik Gölü Havzası’ndaki Potansiyel Toprak Erozyonu Alanlarının AHP ve CBS Entegrasyonu ile Değerlendirilmesi (Samsun, Türkiye)

Yıl 2024, Sayı: 49, 83 - 96, 31.12.2024
https://doi.org/10.26650/JGEOG2024-1452908

Öz

Toprak başta canlı yaşamı, tarımsal faaliyetler ve gıda tedariki için gerekli olan temel bir unsurdur. Dolayısıyla bu temel unsurun varlığı ve korunması sürdürülebilir arazi yönetimi için son derece önemlidir. Bu çalışmada ele alınan Lâdik Gölü Havzası, Türkiye’nin kuzeyinde, Orta Karadeniz Bölümü’nde yer alan tektonik bir havzadır. Araştırma kapsamında Lâdik Gölü Havzası’nda birden çok coğrafi faktörün Analitik Hiyerarşi Prosesi (AHP) ve Coğrafi Bilgi Sistemleri (CBS) teknikleri kullanılarak toprak erozyonu duyarlılık analizi gerçekleştirilmiştir. Analizler yapılırken eğim, toprak derinliği, litoloji, yükseklik, arazi kullanımı, drenaj yoğunluğu, drenaj sıklığı ve yağış olmak üzere sekiz (8) coğrafi faktör kullanılmıştır. Analiz sonucunda toprak erozyonu duyarlılığı için düşük, orta, yüksek ve çok yüksek olmak üzere dört (4) farklı düzey belirlenmiş ve havzanın %27,44’ü düşük, %14,63’ü orta, %36,30’u yüksek ve %21,63’ü çok yüksek düzeyde toprak erozyonu duyarlılığı tespit edilmiştir. Buradaki yüzde oranlarını %27,44'ünde düşük, %14,63'ünde orta, %36,30'unda yüksek, %21,63'ünde çok yüksek düzeyde toprak erozyonu duyarlılığı tespit edilmiştir. Toprak erozyonun önüne geçmek ya da erozyonu yavaşlatmak alınabilecek bazı önlemlerle mümkündür. Tarımsal kullanımın yoğun olduğu havzada eğim değerlerine uygun tarımsal işleme ve ürün seçimi ilk akla gelen uygulamadır. Bu tür çalışmalar karar vericilere erozyona karşı yerinde önlemler almaları için yol gösterici niteliktedir. Ayrıca çalışma neticesinde elde edilen sonuçlara yönelik çalışma sahasında erozyonun önlenmesi ve azaltılması için gerekli çalışmaların neler olduğu konusuna da dikkat çekilmiştir

Kaynakça

  • Altun, L., Kara, Ö., Akgün, A., Babur, E., and Kezik, U. (2016, Nisan). “Doğu Karadeniz Bölgesinde meydana gelen güncel heyelanlar ve olası çözüm önerileri”. Ulusal Heyelan Sempozyumu, 489-504. Ankara. google scholar
  • Aneseyee, A. B., Elias, E., Soromessa, T., and Feyisa, G. L. (2020). Effects of land use/land cover change on soil erosion and sediment delivery in the Winike Watershed, Omo Gibe Basin, Ethiopia. Science of Total Environment. 728. 138776. https://doi.org/10.1016/j.scitotenv.2020.138776 google scholar
  • Arabameri, A., Rezaei, K., Reza Pourghasemi, H., Lee, S., and Yamani, M. (2018). GIS-based gully erosion susceptibility mapping: A comparison among three data-driven models and AHP knowledge-based technique. Environmental Earth Sciences. 77: 628. https:// doi.org/10.1007/s12665-018-7808-5 google scholar
  • Asfaw, S., Pallante, G., and Palma, A. (2020). Distributional impacts of soil erosion on agricultural productivity and welfare in Malawi. Ecological Economics. 177. 106764 https://doi.org/10.1016/j. ecolecon.2020.106764 google scholar
  • Bahadır, M. ve Uzun, A. (2021). Lâdik Gölü Havzasında arazi kullanımı (Samsun). Kesit Akademi Dergisi. 7 (27). 257-280. http://dx.doi. org/10.29228/kesit.49685 google scholar
  • Bozali, N. (2020). Assessment of the soil protection function of forest ecosystems using GIS-based multi-criteria decision analysis: A case study in Adıyaman, Turkey. Global Ecology and Conservation. 24: e01271. https://doi.org/10.1016/j.gecco.2020.e01271 google scholar
  • Danacıoğlu, Ş. ve Tağıl, Ş. (2017). Bakırçay Havzası’nda Rusle modeli kullanarak erozyon riskinin değerlendirmesi. Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 20 (37). 1-18. http://dx.doi. org/10.31795/baunsobed.645168 google scholar
  • Das, B., Bordoloi, R., Thungon, L. T., Paul, A., Pandey, P. K., Mishra, M., and Tripathi, O. P. (2020). An integrated approach of GIS, RUSLE, and AHP to model soil erosion in the west Kameng watershed, Arunachal Pradesh. Journal of Earth System Science. 129: 94. http://dx.doi.org/10.1007/s12040-020-1356-6 google scholar
  • Demirağ Turan, İ. ve Dengiz, O. (2017). Çok kriterli değerlendirme ile Ankara Güvenç Havzası’nda Erozyon risk tahminlenmesi. Journal of Agricultural Sciences. 23 (3). 285-297. https://doi.org/10.15832/ ankutbd.447600 google scholar
  • Demirağ Turan, İ., Dengiz, O., and Özkan, B. (2019). Spatial assessment and mapping of soil quality index for desertification in the semi-arid terrestrial ecosystems using MCDM in interval type-2 fuzzy environment. Computers and Electronics in Agriculture. 164: 104933. https://doi.org/10.1016/j.compag.2019.104933 google scholar
  • Demirağ Turan, İ. ve Uzun, A. (2021). Analitik Hiyerarşik Süreç ve CBS teknikleri kullanılarak Çorum Çayı Havzasında toprak erozyonu riskinin modellenmesi. Jeomorfolojik Araştırmalar Dergisi. (6). 41-55. https://doi.org/10.46453/jader.843857 google scholar
  • Duman, N. ve İrcan, M. R. (2022). Coğrafi Bilgi Sistemleri ve Uzaktan Algılama tabanında Çankırı Merkez ilçesinin erozyon risk analizi. Coğrafi Bilimler Dergisi. 20 (1). 220-245. https://doi.org/10.33688/ aucbd.1074770 google scholar
  • Ersayın, K. (2022). Heyelan duyarlılığı analizine bir örnek: İyidere Havzası (Rize). Basılmamış Doktora Tezi. Ondokuz Mayıs Üniversitesi Lisansüstü Eğitim Enstitüsü, Coğrafya Anabilim Dalı, 726295, Samsun. google scholar
  • Ebabu, K., Tsunekawa, A., Haregeweyn, N., Adgo, E., Meshesha, D. T., Aklog, D., Masunaga, T., Tsubo, M., Sultan, D., Fenta, A. A., and Yibeltal, M. (2019). Effects of land use and sustainable land management practices on runoff and soil loss in the upper Blue Nile basin, Ethiopia. Science of The Total Environmnent. 648. 14621475. https://doi.org/10.1016/j.scitotenv.2018.08.273 google scholar
  • FAO, ITPS. (2015). Status of the world’s soil resources (SWSR)-Main report. In: Food and Agriculture Organization of the United Nations. google scholar
  • Goepel, K. D. (2013, June). “Implementing the analytic hierarchy process as a standard method for multi-criteria decision making in corporate enterprises-A new AHP excel template with multiple inputs”. Proceedings ofthe International Symposium on the Analytic Hierarchy Process, Kuala Lumpur. https://doi.org/10.13033/isahp. y2013.047 google scholar
  • Gomez, H., and Kavzoğlu, T. (2005). Assessment of shallow landslide susceptibility in Jabonosa River Basin, Venezuela. Engineering Geology. 78 (1-2). 11-27. https://doi.org/10.1016/j.enggeo.2004.10.004 google scholar
  • Guzzetti, F., Carrarra, A., Cardinali, M., and Reichenbach, P. (1999). Landslide hazard evaluation: A review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology. 31 (1-4). 181-216. https://doi.org/10.1016/S0169-555X(99)00078-1 google scholar
  • Horton, R. E. (1945). Erosional development of streams and their drainage basins; hydrophysical approach to quantitative morphology. Geological Society of America Bulletin. 56 (3). 275-370. https://doi. org/10.1130/0016-7606(1945)56[275:EDOSAT]2.0.CO;2 google scholar
  • Intarawichian, N., and Dasananda, S. (2010). Analytical hierarchy process for landslide susceptibility mapping in lower Mae Chaem Watershed, Northern Thailand. Suranaree J Sci Technol. 17 (3). 1-16. https://www.thaiscience.info/journals/ google scholar
  • Küçüker, D. M., and Giraldo, D. C. (2022). Assessment of soil erosion risk using an integrated approach of GIS and Analytic Hierarchy Process (AHP) in Erzurum, Turkiye. Ecological Informatics. 71: 101788. https://doi.org/10.1016/j.ecoinf.2022.101788 google scholar
  • Liu, Q-Q., Chen, L., and Li, J. C. (2001). Effects of slope gradient on soil erosion. Applied Mathematics and Mechanics. 22. 510-519. https://doi.org/10.1023/A:1016303213326 google scholar
  • Lal, R., Hal, G. F., and Miller, F. P. (1989). Soil degradation: I. Basic Process. Land Degradation & Development. 1 (1). 51-69. https:// doi.org/10.1002/ldr.3400010106 google scholar
  • Lal, R. (2001). Soil degradation by erosion. Land Degradation & Development. 12 (6). 519-539. https://doi.org/10.1002/ldr.472 google scholar
  • Leh, M., Bajwa, S., and Chaubey, I. (2013). Impact of land use change on erosion risk: An integrated remote sensing, geographic information system, and modeling methodology. Land Degradation & Development. 24 (5). 409-421. https://doi.org/10.1002/ldr.1137 google scholar
  • Maity, D. K., and Mandal, S. (2019). Identification of groundwater potential zones of the Kumari River basin, India: An RS & GIS based semi-quantitative approach. Environment, Development and Sustainability. 21. 1013-1034. https://doi.org/10.1007/s10668-017-0072-0 google scholar
  • Nicholson, D. T., and Hencher, S. (1997). “Assessing the potential for deterioration of engineered rockslopes”. Proceedings of the IAEG Symposium. 911-917, Athens. google scholar
  • Pimentel, D. (2006). Soil erosion: A food and environmental threat. Environment, Development and Sustainability. 8. 119-137. https:// doi.org/10.1007/s10668-005-1262-8 google scholar
  • Reddy, G. P. O., Maji, A. K., and Gajbhiye, K. S. (2004). Drainage morphometry and its influence on landform characteristics in basaltic terrain, Central India: A remote sensing and GIS approach. International Journal ofApplied Earth Observation and Geoinformation. 6 (1). 1-16. http://dx.doi.org/10.1016/j.jag.2004.06.003 google scholar
  • Renard, K. G., J. M. Laflen, G. R., and Mccool, D. K. (1994). “The revised universal soil loss equation”. Soil Erosion Research Methods (Editor: Lal, R.). 105-124. United States of America, Ankeny: Soil and Water Conservation Society. google scholar
  • Renard, K. G., Yoder, D. C., Lightle, D. T., and Dabney, S. M. (2011). “Universal soil loss equation and revised universal soil loss equation”. Handbook of Erosion Modelling (Editors: R. P. C. Morgan, and M. A. Nearing. United Kingdom, Chichester: Blackwell Publishing Ltd. http://dx.doi.org/10.1002/9781444328455.ch8 google scholar
  • Saaty, T. L. (1989). Hierarchical-multiobjective systems. Control Theory and Advanced Technology. 5 (4). 485-489. google scholar
  • Soeters, R., and Van Westen, C. J. (1996). Slope instability: Recognition, analysis and zonation. Landslides: Investigation and Mitigation (Editors: Turner, A. K. and Shuster, R. L.). Special Report 247. 129177. United States of America, Washington, D.C.: Transportation research Board-National Research Council. google scholar
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  • Tairi, A., Elmouden, A., and Aboulouafa, M. (2019). Soil erosion risk mapping using the analytical hierarchy process (AHP) and geographic information system in the Tifnout-Askaoun watershed, Southern Morocco. European Scientific Journal. 15 (30). 338-356. https://doi.org/10.19044/esj.2019.v15n30p338 google scholar
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  • Vijith, H., Suma, M., Rekha, V. B., Shiju, C., and Rejith, P. G. (2012). An assessment of soil erosion probability and erosion rate in a tropical mountainous watershed using remote sensing and GIS. Arabian Journal of Geosciences. 5. 797-805. https://doi. org/10.1007/s12517-010-0265-4 google scholar
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Toplam 45 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Fiziksel Coğrafya ve Çevre Jeolojisi (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Fatih Ocak 0000-0002-1088-3762

Muhammet Bahadır 0000-0001-5068-4250

Yayımlanma Tarihi 31 Aralık 2024
Gönderilme Tarihi 14 Mart 2024
Kabul Tarihi 5 Eylül 2024
Yayımlandığı Sayı Yıl 2024 Sayı: 49

Kaynak Göster

APA Ocak, F., & Bahadır, M. (2024). Evaluation of Potential Soil Erosion Areas in the Ladik Lake Basin via AHP and GIS Integration (Samsun, Türkiye). Journal of Geography(49), 83-96. https://doi.org/10.26650/JGEOG2024-1452908
AMA Ocak F, Bahadır M. Evaluation of Potential Soil Erosion Areas in the Ladik Lake Basin via AHP and GIS Integration (Samsun, Türkiye). Journal of Geography. Aralık 2024;(49):83-96. doi:10.26650/JGEOG2024-1452908
Chicago Ocak, Fatih, ve Muhammet Bahadır. “Evaluation of Potential Soil Erosion Areas in the Ladik Lake Basin via AHP and GIS Integration (Samsun, Türkiye)”. Journal of Geography, sy. 49 (Aralık 2024): 83-96. https://doi.org/10.26650/JGEOG2024-1452908.
EndNote Ocak F, Bahadır M (01 Aralık 2024) Evaluation of Potential Soil Erosion Areas in the Ladik Lake Basin via AHP and GIS Integration (Samsun, Türkiye). Journal of Geography 49 83–96.
IEEE F. Ocak ve M. Bahadır, “Evaluation of Potential Soil Erosion Areas in the Ladik Lake Basin via AHP and GIS Integration (Samsun, Türkiye)”, Journal of Geography, sy. 49, ss. 83–96, Aralık 2024, doi: 10.26650/JGEOG2024-1452908.
ISNAD Ocak, Fatih - Bahadır, Muhammet. “Evaluation of Potential Soil Erosion Areas in the Ladik Lake Basin via AHP and GIS Integration (Samsun, Türkiye)”. Journal of Geography 49 (Aralık 2024), 83-96. https://doi.org/10.26650/JGEOG2024-1452908.
JAMA Ocak F, Bahadır M. Evaluation of Potential Soil Erosion Areas in the Ladik Lake Basin via AHP and GIS Integration (Samsun, Türkiye). Journal of Geography. 2024;:83–96.
MLA Ocak, Fatih ve Muhammet Bahadır. “Evaluation of Potential Soil Erosion Areas in the Ladik Lake Basin via AHP and GIS Integration (Samsun, Türkiye)”. Journal of Geography, sy. 49, 2024, ss. 83-96, doi:10.26650/JGEOG2024-1452908.
Vancouver Ocak F, Bahadır M. Evaluation of Potential Soil Erosion Areas in the Ladik Lake Basin via AHP and GIS Integration (Samsun, Türkiye). Journal of Geography. 2024(49):83-96.