Research Article

SEDIMENTATION ANALYSIS ON SEYHAN DAM RESERVOIR USING LONG TERM BATHYMETRY DATA

Volume: 12 Number: 1 March 25, 2024
EN TR

SEDIMENTATION ANALYSIS ON SEYHAN DAM RESERVOIR USING LONG TERM BATHYMETRY DATA

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.

Keywords

References

  1. Abdul Razad, A.Z., Samsudin, S.H., Setu, A., Abbas, N.A., Mohd Sidek, L., Basri, H. (2020) Investigating the Impact of Land Use Change on Sediment Yield for Hydropower Reservoirs through GIS Application, IOP Conf. Series: Earth and Environmental Science 540 (2020) 012037.
  2. Akgül M.A., Dağdeviren M., Biroğlu İ. (2018) Satellite-derived bathymetry using multi-temporal satellite images. DSİ Technical Bulletin, Issue:127, January 2018, page:14-27. (in Turkish)
  3. Ayele, G. T., Kuriqi, A., Jemberrie, M. A., Saia, S.M., Seka, A. M., Teshale, E. Z., Daba, M. H., Ahmad Bhat, S., Demissie, S. S., Jeong, J. et al. (2021) Sediment Yield and Reservoir Sedimentation in Highly Dynamic Watersheds: The Case of Koga Reservoir, Ethiopia. Water 2021, 13, 3374. https://doi.org/10.3390/w13233374
  4. Bandini, F., Olesen, D., Jakobsen, J., Kittel, C.M.M., Wang, S., Garcia, M., Bauer-Gottwein, P. (2018) Technical note: Bathymetry observations of inland water bodies using a tethered single-beam sonar controlled by an unmanned aerial vehicle, Hydrol. Earth Syst. Sci., 22, 4165–4181, 2018.
  5. Billi, P., Spalevic, V. (2022) Suspended sediment yield in Italian rivers, Catena 212 (2022) 106119. https://doi.org/10.1016/j.catena.2022.106119.
  6. Bwambale, E., Naangmenyele, Z., Iradukunda, P., Agboka, K.M., Houessou-Dossou, E.A.Y., Akansake, D.A., Bisa, M.E., Hamadou, A.H., Hakizayezu, J., Onofua, O.E., Chikabvumbwa, S.R. (2022) Towards precision irrigation management: A review of GIS, remote sensing and emerging technologies, Cogent Engineering (2022), 9: 2100573, DOI: 10.1080/23311916.2022.2100573.
  7. 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.
  8. 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.

Details

Primary Language

English

Subjects

Geological Sciences and Engineering (Other)

Journal Section

Research Article

Publication Date

March 25, 2024

Submission Date

September 1, 2023

Acceptance Date

December 24, 2023

Published in Issue

Year 2024 Volume: 12 Number: 1

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
AMA
1.Akgül MA, Güvel ŞP, Aksu H. SEDIMENTATION ANALYSIS ON SEYHAN DAM RESERVOIR USING LONG TERM BATHYMETRY DATA. JESD. 2024;12(1):16-33. doi:10.21923/jesd.1353462
Chicago
Akgül, Mehmet Ali, Şerife Pınar Güvel, and Hakan Aksu. 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.
EndNote
Akgül MA, Güvel ŞP, Aksu H (March 1, 2024) SEDIMENTATION ANALYSIS ON SEYHAN DAM RESERVOIR USING LONG TERM BATHYMETRY DATA. Mühendislik Bilimleri ve Tasarım Dergisi 12 1 16–33.
IEEE
[1]M. A. Akgül, Ş. P. Güvel, and H. Aksu, “SEDIMENTATION ANALYSIS ON SEYHAN DAM RESERVOIR USING LONG TERM BATHYMETRY DATA”, JESD, vol. 12, no. 1, pp. 16–33, Mar. 2024, doi: 10.21923/jesd.1353462.
ISNAD
Akgül, Mehmet Ali - Güvel, Şerife Pınar - Aksu, Hakan. “SEDIMENTATION ANALYSIS ON SEYHAN DAM RESERVOIR USING LONG TERM BATHYMETRY DATA”. Mühendislik Bilimleri ve Tasarım Dergisi 12/1 (March 1, 2024): 16-33. https://doi.org/10.21923/jesd.1353462.
JAMA
1.Akgül MA, Güvel ŞP, Aksu H. SEDIMENTATION ANALYSIS ON SEYHAN DAM RESERVOIR USING LONG TERM BATHYMETRY DATA. JESD. 2024;12:16–33.
MLA
Akgül, Mehmet Ali, et al. “SEDIMENTATION ANALYSIS ON SEYHAN DAM RESERVOIR USING LONG TERM BATHYMETRY DATA”. Mühendislik Bilimleri Ve Tasarım Dergisi, vol. 12, no. 1, Mar. 2024, pp. 16-33, doi:10.21923/jesd.1353462.
Vancouver
1.Mehmet Ali Akgül, Şerife Pınar Güvel, Hakan Aksu. SEDIMENTATION ANALYSIS ON SEYHAN DAM RESERVOIR USING LONG TERM BATHYMETRY DATA. JESD. 2024 Mar. 1;12(1):16-33. doi:10.21923/jesd.1353462

Cited By