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Corine Modeli Kullanılarak Niğde Şehrinde Toprak Erozyon Riskinin Değerlendirmesi

Year 2023, Volume: 6 Issue: Ek Sayı, 384 - 401, 20.12.2023
https://doi.org/10.47495/okufbed.1299426

Abstract

Bu çalışmada çevresel bilginin koordinasyonu modeli kullanılarak toprak erozyon riski hesaplanmıştır. Çalışmanın amacı toprak özellikleri, eğim ve alan kullanımları dikkate alarak, Niğde ilinin toprak erozyon riskinin belirlenmesidir. Potansiyel (PSER) ve gerçek toprak erozyonu riski (ASER), toprak özellikleri, eğim, iklim faktörleri ve arazi örtüsü verileri gibi faktörler kullanılarak belirlenmiştir. Arc-GIS 10.3 yazılımı kullanılarak veriler üretilmiş ve bu haritalar üzerinde sonuçlar elde edilmiştir. Elde edilen verilere göre çalışma alanının doğu ve güneydoğu kesimlerinde yer alan toprakların %34,72'si orta derecede gerçek toprak erozyonu riski olarak sınıflandırılmıştır. Toprakların sırasıyla %51,66'sı düşük ve %13,62'si gerçek toprak erozyonu riski yüksek olarak sınıflandırılmıştır. Gerçek toprak erozyonu riski düşük olan alanlar orta kısımda, yüksek gerçek toprak erozyonu riski olan alanlar ise alanın kuzeybatı kesiminde yer almaktadır. Arazi örtüsü haritası birleştirilerek, potansiyel toprak erozyonu riski düşük olarak sınıflandırılan alanların gerçek toprak erozyonu riski %23,52'den %51,66'ya yükselmiştir. Öte yandan, yüksek ve orta potansiyel toprak erozyonu riski olarak sınıflandırılan toplam alanlar, arazi örtüsü türleri nedeniyle gerçek toprak erozyonu riskinde %76,48'den %48,34'e düşmüştür. Toprak dokusu, arazi örtüsü ve eğimin erozyon riskini etkileyen en önemli faktörler olarak tespit edilmiştir. Bu çalışma, GIS (Coğrafi Bilgi Sistemleri) ve RS (Revize Evrensel Toprak Kaybı Denklemi) ile entegre CORINE modelinin, toprak erozyonu risk değerlendirmesi için çok etkili ve doğru bir potansiyele sahip olduğunu göstermiştir.

References

  • Al Sayah MJ., Nedjai R., Kaffas K., Abdallah C., Khouri M. Assessing the impact of man–made ponds on soil erosion and sediment transport in limnological basins. Water 2019; 11(12): 2526.
  • Aydın A., Tecimen HB. Temporal soil erosion risk evaluation: a CORINE methodology application at Elmalı dam watershed, İstanbul.Environmental Earth Sciences 2010; 61(7): 1457-1465.
  • Aykır D., Fıçıcı M. Erosion Risk analysis in Çıldır Lake Basin. Journal of Geomorphological Research 2022; 1(9): 38-49.
  • Bashir S., Baig MA., Ashraf M., Anwar MM., Bhalli MN., Munawar S. Risk assessment of soil erosion in Rawal watershed using geoinformatics techniques. Science International 2013; 25(3): 1-21.
  • Bozyiğit R. Seydikemer ilçesi (Muğla) topraklarının özellikleri ve kullanımı üzerine bir değerlendirme. Avrupa Bilim ve Teknoloji Dergisi 2020; 1(18): 695-706.
  • Buraka T., Elias E., Suryabhagavan KV. Lelago A. Assessment of soil erosion risks in response to land-use and land-cover changes in Coka watershed, Southern Ethiopia. Geology, Ecology, and Landscapes 2022; 1(1): 1-14.
  • Cebecauer T., Suri M., Hofierka J., Fulajtár E. Corine land cover in the context of soil erosion assessment at a regional scale. In Workshop Corine Land Cover 20-21 January 2004 Berlin, Germany.
  • Chen J., Li Z., Xiao H., Ning K., Tang C. Effects of land use and land cover on soil erosion control in southern China: Implications from a systematic quantitative review. Journal of Environmental Management 2021; 282(1): 1-21
  • Çilek A. Mapping soil erosion in regulating ecosystem services: Göksu Basin example. Çukurova University Faculty of Engineering Journal 2021; 36(2): 409-419.
  • Demir S., Arslan B., Gönültaş H. Change in erosion susceptibility in soils of different climate regions depending on land use patterns. Bozok Journal of Agriculture and Natural Sciences 2022; 1(1): 31-38.
  • Edosomwan NL., Obazuaye E., Edosomwan EU. Impacts of dam on characteristics of tropical rainforest soils and sediments in South Central Nigeria. Indian Journal of Agricultural Research 2013; 47(1): 73-77.
  • El-Nady MA., Shoman MM. Assessment of soil erosion risk in the basin of wadi maged in northern west coast of Egypt using corine model and gis techniques. Assessment 2017; 57(1): 31-45.
  • Eroğlu H., Çakır G., Sivrikaya F., Akay AE. Using high resolution images and elevation data in classifying erosion risks of bare soil areas in the Hatila Valley Natural Protected Area, Turkey. Stochastic Environmental Research and Risk Assessment 2010; 24(1): 699-704.
  • General Directorate of Meteorology, Ministry Of Environment, Urbanization and Climate Change, Ankara, Turkey, 2022, https://www.mgm.gov.tr/, Accessed Date: 11.01.2023
  • Grimm M., Jones R., Montanarella L. Soil erosion risk in Europe. 2nd ed., Joint Research Centre, European Commission. 2011; Napoli, Italy.
  • İkiel C., Ustaoğlu B., Koç DE. Erosion susceptibility analysis of thrace. Journal of Geomorphological Research 2020; 1(4): 1-14.
  • Jiang W., Pang Z., Lv J., Ju H., Li L., Fu J. Satellite observations reveal decreasing soil erosion in Northeast Inner Mongolia, China, over the past four decades. Frontiers in Earth Science 2022; 10(1): 1-8

Soil Erosion Risk Assessment in The Niğde Using Corine Model

Year 2023, Volume: 6 Issue: Ek Sayı, 384 - 401, 20.12.2023
https://doi.org/10.47495/okufbed.1299426

Abstract

Soil erosion risk was calculated using the coordination of information on the environment (CORINE) model in this study. The aim of the study is to determine the soil erosion risk of Niğde province, taking into account soil properties, slope and land use. Potential (PSER) and actual soil erosion risks (ASER) were determined using factors which were soil properties, slope, climatic factors, and land cover data. Data were produced using Arc-GIS 10.3 software, and results were obtained on these maps. 34.72% of the soils were classified as moderately actual soil erosion risk, which located in the eastern and southeast part of the study area.51.66% and 13.62% of the soils were classified as low and high actual soil erosion risk, respectively. Areas which have low actual soil erosion risk are located in the middle part, and areas which have high actual soil erosion risk are located in the northwest part of the area. The areas which were categorized as low potential soil erosion risk were increased from 23.52% to 51.66% in the actual soil erosion risk, after combining the land cover map. On the other hand, the total areas classified as high and moderate actual soil erosion risk decreased from 76.48% to 48.34% in the actual soil erosion risk due to land cover types. Soil texture, land cover, and slope are the most important factors that affect erosion risk. This study indicated that the CORINE model integrated with GIS (Geographic Information Systems) and RS (Revised Universal Soil Loss Equation) has a very effective and accurate potential for soil erosion risk assessment.

References

  • Al Sayah MJ., Nedjai R., Kaffas K., Abdallah C., Khouri M. Assessing the impact of man–made ponds on soil erosion and sediment transport in limnological basins. Water 2019; 11(12): 2526.
  • Aydın A., Tecimen HB. Temporal soil erosion risk evaluation: a CORINE methodology application at Elmalı dam watershed, İstanbul.Environmental Earth Sciences 2010; 61(7): 1457-1465.
  • Aykır D., Fıçıcı M. Erosion Risk analysis in Çıldır Lake Basin. Journal of Geomorphological Research 2022; 1(9): 38-49.
  • Bashir S., Baig MA., Ashraf M., Anwar MM., Bhalli MN., Munawar S. Risk assessment of soil erosion in Rawal watershed using geoinformatics techniques. Science International 2013; 25(3): 1-21.
  • Bozyiğit R. Seydikemer ilçesi (Muğla) topraklarının özellikleri ve kullanımı üzerine bir değerlendirme. Avrupa Bilim ve Teknoloji Dergisi 2020; 1(18): 695-706.
  • Buraka T., Elias E., Suryabhagavan KV. Lelago A. Assessment of soil erosion risks in response to land-use and land-cover changes in Coka watershed, Southern Ethiopia. Geology, Ecology, and Landscapes 2022; 1(1): 1-14.
  • Cebecauer T., Suri M., Hofierka J., Fulajtár E. Corine land cover in the context of soil erosion assessment at a regional scale. In Workshop Corine Land Cover 20-21 January 2004 Berlin, Germany.
  • Chen J., Li Z., Xiao H., Ning K., Tang C. Effects of land use and land cover on soil erosion control in southern China: Implications from a systematic quantitative review. Journal of Environmental Management 2021; 282(1): 1-21
  • Çilek A. Mapping soil erosion in regulating ecosystem services: Göksu Basin example. Çukurova University Faculty of Engineering Journal 2021; 36(2): 409-419.
  • Demir S., Arslan B., Gönültaş H. Change in erosion susceptibility in soils of different climate regions depending on land use patterns. Bozok Journal of Agriculture and Natural Sciences 2022; 1(1): 31-38.
  • Edosomwan NL., Obazuaye E., Edosomwan EU. Impacts of dam on characteristics of tropical rainforest soils and sediments in South Central Nigeria. Indian Journal of Agricultural Research 2013; 47(1): 73-77.
  • El-Nady MA., Shoman MM. Assessment of soil erosion risk in the basin of wadi maged in northern west coast of Egypt using corine model and gis techniques. Assessment 2017; 57(1): 31-45.
  • Eroğlu H., Çakır G., Sivrikaya F., Akay AE. Using high resolution images and elevation data in classifying erosion risks of bare soil areas in the Hatila Valley Natural Protected Area, Turkey. Stochastic Environmental Research and Risk Assessment 2010; 24(1): 699-704.
  • General Directorate of Meteorology, Ministry Of Environment, Urbanization and Climate Change, Ankara, Turkey, 2022, https://www.mgm.gov.tr/, Accessed Date: 11.01.2023
  • Grimm M., Jones R., Montanarella L. Soil erosion risk in Europe. 2nd ed., Joint Research Centre, European Commission. 2011; Napoli, Italy.
  • İkiel C., Ustaoğlu B., Koç DE. Erosion susceptibility analysis of thrace. Journal of Geomorphological Research 2020; 1(4): 1-14.
  • Jiang W., Pang Z., Lv J., Ju H., Li L., Fu J. Satellite observations reveal decreasing soil erosion in Northeast Inner Mongolia, China, over the past four decades. Frontiers in Earth Science 2022; 10(1): 1-8
There are 17 citations in total.

Details

Primary Language English
Subjects Environmental Sciences
Journal Section RESEARCH ARTICLES
Authors

Orhun Soydan 0000-0003-0723-921X

Publication Date December 20, 2023
Submission Date May 19, 2023
Acceptance Date October 4, 2023
Published in Issue Year 2023 Volume: 6 Issue: Ek Sayı

Cite

APA Soydan, O. (2023). Soil Erosion Risk Assessment in The Niğde Using Corine Model. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 6(Ek Sayı), 384-401. https://doi.org/10.47495/okufbed.1299426
AMA Soydan O. Soil Erosion Risk Assessment in The Niğde Using Corine Model. Osmaniye Korkut Ata University Journal of Natural and Applied Sciences. December 2023;6(Ek Sayı):384-401. doi:10.47495/okufbed.1299426
Chicago Soydan, Orhun. “Soil Erosion Risk Assessment in The Niğde Using Corine Model”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6, no. Ek Sayı (December 2023): 384-401. https://doi.org/10.47495/okufbed.1299426.
EndNote Soydan O (December 1, 2023) Soil Erosion Risk Assessment in The Niğde Using Corine Model. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6 Ek Sayı 384–401.
IEEE O. Soydan, “Soil Erosion Risk Assessment in The Niğde Using Corine Model”, Osmaniye Korkut Ata University Journal of Natural and Applied Sciences, vol. 6, no. Ek Sayı, pp. 384–401, 2023, doi: 10.47495/okufbed.1299426.
ISNAD Soydan, Orhun. “Soil Erosion Risk Assessment in The Niğde Using Corine Model”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6/Ek Sayı (December 2023), 384-401. https://doi.org/10.47495/okufbed.1299426.
JAMA Soydan O. Soil Erosion Risk Assessment in The Niğde Using Corine Model. Osmaniye Korkut Ata University Journal of Natural and Applied Sciences. 2023;6:384–401.
MLA Soydan, Orhun. “Soil Erosion Risk Assessment in The Niğde Using Corine Model”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 6, no. Ek Sayı, 2023, pp. 384-01, doi:10.47495/okufbed.1299426.
Vancouver Soydan O. Soil Erosion Risk Assessment in The Niğde Using Corine Model. Osmaniye Korkut Ata University Journal of Natural and Applied Sciences. 2023;6(Ek Sayı):384-401.

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