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UZUN DÖNEM BATİMETRİ VERİLERİ KULLANILARAK SEYHAN BARAJ REZERVUARINDA SEDİMANTASYON ANALİZİ

Year 2024, Volume: 12 Issue: 1, 16 - 33, 25.03.2024
https://doi.org/10.21923/jesd.1353462

Abstract

Bu çalışmada Seyhan Barajı rezervuarındaki sedimantasyon durumu uzun vadeli bir batimetrik ölçüm veri seti analiz edilerek araştırılmıştır. Çalışmanın odak noktası, rezervuar kapasitesi değişikliklerinin rezervuar işletme kurallarını nasıl etkilediğini anlamaktır. Bulgular, Seyhan Nehri'nin ana kolundaki sediment birikiminin Çatalan Barajı'nın inşasından bu yana büyük ölçüde durduğunu, ancak Çakıt kolundaki sediment birikiminin devam ettiğini ortaya çıkarmıştır. Ayrıca çalışmada, CORINE Arazi Örtüsü (CLC) veri setine dayanılarak 1990 ile 2018 yılları arasında üst havzadaki değişiklikleri gözlemlenmiştir. Orman alanı %23,71'den %24,36'ya, su kütleleri ise %0,3'ten %0,9'a yükselmiştir. Orman ve su kütlelerindeki bu artış, Seyhan Barajı rezervuarına sediment akışında azalmaya katkıda bulunmuştur. Araştırmacılar regresyon analizini kullanarak Seyhan Baraj Gölü'ndeki 67,5 metre su seviyesinde su depolama kapasitesi değişiklikleri ile zaman (yıl) arasında yüksek bir korelasyon (R2=0.96) bulmuştur. Genel olarak bu çalışmanın sonuçları, Seyhan Nehri'nin ana kolundan giren sediment miktarının azalmasının, sedimantasyon sorununu önemli ölçüde iyileştirdiğini göstermektedir.

References

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SEDIMENTATION ANALYSIS ON SEYHAN DAM RESERVOIR USING LONG TERM BATHYMETRY DATA

Year 2024, Volume: 12 Issue: 1, 16 - 33, 25.03.2024
https://doi.org/10.21923/jesd.1353462

Abstract

In this study, sedimentation in the Seyhan Dam reservoir was investigated by analyzing a long-term bathymetric survey dataset. The focus was on understanding how reservoir capacity changes impact reservoir operation rules. The findings revealed that sedimentation from the main branch of the Seyhan River has largely stopped since the construction of the Çatalan Dam, but sedimentation from the Çakıt branch continues. Furthermore, the study observed changes in the upper basin between 1990 and 2018 based on the CORINE Land Cover (CLC) dataset. The forest area increased from 23.71% to 24.36%, and water bodies expanded from 0.3% to 0.9%. This increase in forest and water bodies contributed to a reduction in sediment flow into the Seyhan Dam reservoir. The researchers used regression analysis and found a high correlation (R2=0.96) between water storage capacity changes and time (in years) at a 67.5-meter water level in the Seyhan Dam Reservoir. Overall, the study's results suggest that the decrease in sediment entering from the main branch of the Seyhan River has significantly improved the sedimentation issue.

References

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  • Casal, G., Harris, P., Monteys, X., Hedley, J., Cahalane, C., McCarthy, T. (2020) Understanding satellite-derived bathymetry using Sentinel 2 imagery and spatial prediction models, GIScience & Remote Sensing, 57:3, 271-286, DOI: 10.1080/15481603.2019.1685198.
  • Chalise, D., Kumar, L., Spalevic, V., Skataric, G. (2019) Estimation of Sediment Yield and Maximum Outflow Using the IntErO Model in the Sarada River Basin of Nepal, Water 2019, 11, 952; doi:10.3390/w11050952.
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  • Darama Y, Selek Z, Selek B, Akgül MA, Dağdeviren M (2019) Determination of sediment deposition of Hasanlar Dam using bathymetric and remote sensing studies. Natural Hazards 97:211–227.
  • de Araújo, J. C., Knight, D.W. (2005) A Review of the Measurement of Sediment Yield in Different Scales, REM: R. Esc. Minas, Ouro Preto, 58(3): 257-265, jul.set.2005.
  • Diaconu, D.C., Bretcan, P., Peptenatu, D., Tanislav, D., Mailat, E. (2019) The importance of the number of points, transect location and interpolation techniques in the analysis of bathymetric measurements, Journal of Hydrology, 570 (2019) 774-785.
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  • Estigoni, M.V., Matos, A.J.S., Mauad, F.F. (2014) Assessment of the accuracy of different standard methods for determining reservoir capacity and sedimentation, J Soils Sediments (2014) 14:1224–1234.
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  • Garg, V., Jothiprakash, V. (2008) Estimation of useful life of a reservoir using sediment trap efficiency, Journal of Spatial Hydrology, Vol.8, No.2 Fall 2008.
  • Gharbia, S.S., Alfatah, S.A., Gill, L., Johnston, P., Pilla, F. (2016) Land use scenarios and projections simulation using an integrated GIS cellular automata algorithms, Model. Earth Syst. Environ. (2016) 2:151.
  • Gopakumar, R., Takara, K. (2009) Analysis of bathymetry and spatial changes of Vembanad Lake and terrain characteristics of Vembanad Wetlands using GIS, Hydroinformatics in Hydrology, Hydrogeology and Water Resources (Proc.of Symposium JS.4 at the Joint IAHS & IAH Convention, Hyderabad, India, September 2009). IAHS Publ. 331, 2009.
  • Göğüş, M., Adıgüzel, F., Türkiye’de Bulunan Rezervuarların Sedimentasyonu, Türkiye İnşaat Mühendisliği 11. Teknik Kongre Bildiriler Kitabı, 1, 369-383, 1991.
  • Güvel, Ş.P. (2007) The Study on Sediment Accumulation of Seyhan Reservoir by Decision Support Systems, PhD Thesis, Department of Civil Engineering, Institute of Natural and Applied Sciences, Çukurova University, Adana (in Turkish)
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There are 68 citations in total.

Details

Primary Language English
Subjects Geological Sciences and Engineering (Other)
Journal Section Araştırma Articlessi \ Research Articles
Authors

Mehmet Ali Akgül 0000-0002-5517-9576

Şerife Pınar Güvel 0000-0002-3175-5938

Hakan Aksu 0000-0003-4686-7446

Publication Date March 25, 2024
Submission Date September 1, 2023
Acceptance Date December 24, 2023
Published in Issue Year 2024 Volume: 12 Issue: 1

Cite

APA Akgül, M. A., Güvel, Ş. P., & Aksu, H. (2024). SEDIMENTATION ANALYSIS ON SEYHAN DAM RESERVOIR USING LONG TERM BATHYMETRY DATA. Mühendislik Bilimleri Ve Tasarım Dergisi, 12(1), 16-33. https://doi.org/10.21923/jesd.1353462