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UZUN DÖNEM BATİMETRİ VERİLERİ KULLANILARAK SEYHAN BARAJ REZERVUARINDA SEDİMANTASYON ANALİZİ

Yıl 2024, Cilt: 12 Sayı: 1, 16 - 33, 25.03.2024
https://doi.org/10.21923/jesd.1353462

Öz

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.

Kaynakça

  • 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.
  • 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)
  • 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
  • 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.
  • Billi, P., Spalevic, V. (2022) Suspended sediment yield in Italian rivers, Catena 212 (2022) 106119. https://doi.org/10.1016/j.catena.2022.106119.
  • 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.
  • 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.
  • Colman, C.B., Garcia, K.M.P., Pereira, R.B., Shinma, E.A., Lima, F.E., Gomes, A.O., Oliveira, P.T.S. (2018) Different approaches to estimate the sediment yield in a tropical watershed, RBRH, Porto Alegre, v. 23, e47, 2018.
  • Cooper, M., Lewis, S.E., Stieglitz, T.C., Smithers, S.G. (2018) Variability of the useful life of reservoirs in tropical locations: A case study from the Burdekin Falls Dam, Australia, International Journal of Sediment Research 33 (2018) 93–106.
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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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  • DSİ (2014) State Hydraulic Works (DSİ), Seyhan River Basin Master Plan Report, prepared by Temelsu International Engineering Services Inc., Turkey (in Turkish)
  • DSİ (2022) 2022 Yılı Program-Bütçe Toplantısı Takdim Raporu, DSİ 6.Bölge Müdürlüğü (in Turkish)
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SEDIMENTATION ANALYSIS ON SEYHAN DAM RESERVOIR USING LONG TERM BATHYMETRY DATA

Yıl 2024, Cilt: 12 Sayı: 1, 16 - 33, 25.03.2024
https://doi.org/10.21923/jesd.1353462

Öz

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.

Kaynakça

  • 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.
  • 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)
  • 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
  • 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.
  • Billi, P., Spalevic, V. (2022) Suspended sediment yield in Italian rivers, Catena 212 (2022) 106119. https://doi.org/10.1016/j.catena.2022.106119.
  • 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.
  • 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.
  • Colman, C.B., Garcia, K.M.P., Pereira, R.B., Shinma, E.A., Lima, F.E., Gomes, A.O., Oliveira, P.T.S. (2018) Different approaches to estimate the sediment yield in a tropical watershed, RBRH, Porto Alegre, v. 23, e47, 2018.
  • Cooper, M., Lewis, S.E., Stieglitz, T.C., Smithers, S.G. (2018) Variability of the useful life of reservoirs in tropical locations: A case study from the Burdekin Falls Dam, Australia, International Journal of Sediment Research 33 (2018) 93–106.
  • Copernicus, https://land.copernicus.eu/pan-european/corine-land-cover (Date of access: 06.07.2020).
  • Cross, B.K., Moore, B.C (2014) Lake and reservoir volume: Hydroacoustic survey resolution and accuracy, Lake and Reservoir Management, 30:4, 405-411, DOI: 10.1080/10402381.2014.960115
  • 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.
  • DSİ (1980) Seyhan Taşkın Raporu (27 Mart 1980-6 Nisan 1980), Ankara, 1980.
  • DSİ (2014) State Hydraulic Works (DSİ), Seyhan River Basin Master Plan Report, prepared by Temelsu International Engineering Services Inc., Turkey (in Turkish)
  • DSİ (2022) 2022 Yılı Program-Bütçe Toplantısı Takdim Raporu, DSİ 6.Bölge Müdürlüğü (in Turkish)
  • Dutta, S. (2016) Soil erosion, sediment yield and sedimentation of reservoir: a review, Model. Earth Syst. Environ. (2016) 2:123.
  • 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.
  • Fakıoğlu, M., (2005) Seyhan Barajı Hidrografik Harita Alımı Değerlendirilmesi ve Sonuçları, 2. Mühendislik Ölçmeleri Sempozyumu, İstanbul, 23-25 Kasım 2005.
  • 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)
  • Güvel, Ş.P., Selek, B. Seçkin, G. (2017) Investigation of Sedimentation Effects on Dam Reservoirs: Berdan Dam Example, Çukurova University Journal of the Faculty of Engineering and Architecture, 32(1), pp. 89-97, March 2017. (in Turkish)
  • Güvel, Ş.P. ve Yurtal. R. (2020) Investigation of sedimentation effects on Seyhan Dam Reservoir, Journal of the Faculty of Engineering and Architecture of Gazi University 35:2 (2020) 1015-1025. (in Turkish).
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  • Güvel, Ş.P., Akgül, M.A., Aksu, H. (2021b) Sediment Yield Analysis in Tahtaköprü Dam Basin, European Journal of Science and Technology, No. 27, pp. 995-1002, November 2021.
  • Hagos, Y. G., Andualem, T.G., Mengie, M.A., Ayele, W.T., Malede, D.A. (2022) Suitable dam site identification using GIS‑based MCDA: a case study of Chemoga watershed, Ethiopia, Applied Water Science (2022) 12:69.
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  • Jagannathan, S., Krishnaveni, M. (2021) Longitudinal Sediment Profiling and Capacity Lost in Reservoir Using Multidate Sentinel-2 Images, Journal of the Indian Society of Remote Sensing (February 2021) 49(2):317–323.
  • Jain, M.K., Mishra, S.K., Shah, R.B. (2010) Estimation of sediment yield and areas vulnerable to soil erosion and deposition in a Himalayan watershed using GIS, Current Science, Vol.98, No.2, 25 January 2010.
  • Kırkgöz, M.S., Asaad, R., Özcan, Z., Türkiye’deki Bazı Baraj Haznelerinde Sediment Çökelmesi Üzerine Bir İnceleme, Ç.Ü. Mühendislik Mimarlık Fakültesi Dergisi, 7 (2), 53-63, Aralık 1992.
  • Kırkgöz, M.S., Asaad, R., Özcan, Z., Seyhan Barajı Haznesinde Taban Profilindeki Değişmelerin Hesabı, Ç.Ü. Mühendislik Mimarlık Fakültesi Dergisi, 8 (1), 155-164, Haziran 1993.
  • Kothyari, U.C., Jain, S.K. (1997) Sediment yield estimation using GIS, Hydrological Sciences Journal, 42(6), 833-843, December 1997.
  • Legleiter, C.J., Overstreet, B.T., Kinzel, P.J. (2018) Sampling Strategies to Improve Passive Optical Remote Sensing of River Bathymetry, Remote Sens. 2018, 10, 935; doi:10.3390/rs10060935.
  • Lopes, J.W.B., de Araújo, J.C. (2019) Simplified Method for the Assessment of Siltation in Semiarid Reservoirs Using Satellite Imagery, Water 2019, 11, 998; doi:10.3390/w11050998.
  • Maina, C.W., Sang, J.K., Raude, J.M., Mutua, B.M., Moriasi, D.N. (2019) Sediment distribution and accumulation in Lake Naivasha, Kenya over the past 50 years, Lakes & Reserv. 2019;24:162–172.
  • Malczewski, J. (2006) GIS‐based multicriteria decision analysis: a survey of the literature, International Journal of Geographical Information Science, 20:7, 703-726, DOI: 10.1080/13658810600661508
  • Mardwiono, F., Sedyowati, L., Wibisono, G. (2022) Integrated Sediment Management as a Sustainable Effort of Reservoir Function: A Case Study on the Sengguruh and Sutami Reservoirs, International Journal of Innovative Science and Research Technology, Volume 7, Issue 2, February – 2022.
  • Mueller, E.N., Güntner, A., Francke, T., Mamede, G. (2010) Modelling sediment export, retention and reservoir sedimentation in drylands with the WASA-SED model, Geosci. Model Dev., 3, 275–291, 2010.
  • Mulu, A., Dwarakish, G.S. (2015) Different Approach for Using Trap Efficiency for Estimation of Reservoir Sedimentation. An Overview, Aquatic Procedia 4 ( 2015 ) 847 – 852.
  • Obialor, C.A., Okeke, O.C., Onunkwo, A.A., Fagorite, V.I., Ehujuo, N.N. (2019) Reservoir Sedimentation: Causes, Effects and Mitigation, International Journal of Advanced Academic Research, Sciences, Technology and Engineering, ISSN: 2488-9849, Vol. 5, Issue 10 (October 2019).
  • Oladosu, S.O., Ojigi, L.M., Aturuocha, V.E., Anekwe, C.O., Tanko, R. (2019) An investigative study on the volume of sediment accumulation in Tagwai dam reservoir using bathymetric and geostatistical analysis techniques, SN Applied Sciences (2019) 1:492, https://doi.org/10.1007/s42452-019-0393-8.
  • Özşahin, E. (2023) Climate change effect on soil erosion using different erosion models: A case study in the Naip Dam basin, Türkiye, Computers and Electronics in Agriculture 207 (2023) 107711.
  • Patil, M., Patel, R., Saha, A. (2021) Sediment Yield and Soil Loss Estimation Using GIS Based Soil Erosion Model: A Case Study in the MAN Catchment, Madhya Pradesh, India. Environ. Sci. Proc. 2021, 8, 26. https://doi.org/10.3390/ecas2021-10348.
  • Poliyapram, V., Raghavan, V., Metz, M., Delucchi, L., Masumoto, S. (2017) Implementation of Algorithm for Satellite-Derived Bathymetry Using Open Source GIS and Evaluation for Tsunami Simulation, ISPRS Int. J. Geo-Inf. 2017, 6, 89; doi:10.3390/ijgi6030089.
  • Rowan, J.S., Goodwill, P., Greco, M. (1995) Temporal Variability in Catchment Sediment Yield Determined from Repeated Bathymetric Surveys: Abbeystead Reservoir, U.K., Phys. Chem. Earth, Vol.20, No.2, pp.199-206, 1995.
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  • Salameh, E., Frappart, F., Almar, R., Baptista,P., Heygster, G., Lubac, B., Raucoules, D., Almeida, L.P., Bergsma, E.W.J., Capo, S., De Michele, M., Idier, D., Li, Z., Marieu, V., Poupardin, A., Silva, P.A., Turki, I., Laignel, B. (2019) Monitoring Beach Topography and Nearshore Bathymetry Using Spaceborne Remote Sensing: A Review, Remote Sens. 2019, 11, 2212; doi:10.3390/rs11192212.
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  • Selek, B., Yazıcı, D.D., Aksu, H. and Özdemir, A.D. (2016) Seyhan Dam, Turkey and climate change adaptation strategies. In: Tortajada, C. (Ed.) Increasing resilience to climate variability and change. New York, NY: Springer, pp. 205–232.
  • Shaikh, U., Sapkal, A., Kolage, V., Nandre, T., Madake, A. (2021) Sedimentation Analysis of Dam Using GIS Techniques, International Research Journal of Engineering and Technology (IRJET), Volume:08, Isuue:04, April 2021.
  • Shiferaw, M., Abebe, R. (2020) Reservoir sedimentation and estimating dam storage capacity using bathymetry survey: a case study of Abrajit Dam, Upper Blue Nile basin, Ethiopia, Applied Geomatics, https://doi.org/10.1007/s12518-020-00348-x.
  • Skariah, M. Suriyakala, C.D. (2021) Gauging of Sedimentation in Idukki Reservoir, Kerala (1974–2019), and the Impact of 2018 Kerala Floods on the Reservoir, Journal of the Indian Society of Remote Sensing (September 2021) 49(9):2103–2112.
  • Sun, Z., Sun, L., Zheng, H., Li, Z. (2022) Estimation of sedimentation in the Manwan and Jinghong reservoirs on the Lancang river, Water Supply Vol 22, No 4, 4307 doi: 10.2166/ws.2022.051.
  • Szatten, D., Habel, M., Pellegrini, L., Maerker, M. (2018) Assessment of Siltation Processes of the Koronowski Reservoir in the Northern Polish Lowland Based on Bathymetry and Empirical Formulas, Water 2018, 10, 1681; doi:10.3390/w10111681.
  • Taruya, H., Fuji, H. (1997) Current Conditions of Reservoir Sedimentation in Irrigation Dams in Japan, JARQ 31, 29-34 (1997).
  • Ugwu, S.J., Ajoge, H.N., Abdulsalam, B., Nwude, M.O. (2021) Bathymetry Study of the Siltation Level of Lugu Dam Reservoir in Sokoto State, Nigeria, Nigerian Journal of Technological Development, Vol.18, No.3, September 2021.
  • Vemu, S., Pinnamaneni, U.B. (2012) Sediment Yield Estimation and Prioritization of Watershed Using Remote Sensing and GIS, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012, XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia.
  • Wang, D., Xing, S., He, Y., Yu, J., Xu, Q., Li, P. (2022) Evaluation of a New Lightweight UAV-Borne Topo-Bathymetric LiDAR for Shallow Water Bathymetry and Object Detection. Sensors 2022, 22, 1379. https://doi.org/10.3390/s22041379.
  • Weatherall, P., K. M. Marks, M. Jakobsson,T. Schmitt, S. Tani, J. E. Arndt, M. Rovere, D. Chayes, V. Ferrini, and R. Wigley (2015), A new digital bathymetric model of the world’s oceans, Earth and Space Science, 2, 331–345, doi: 10.1002/2015EA000107.
  • Xing, Y., Chen, H., Liang, Q., Ma, X. (2022) Improving the performance of city‑scale hydrodynamic flood modelling through a GIS‑based DEM correction method, Natural Hazards (2022) 112:2313–2335.
Toplam 68 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yer Bilimleri ve Jeoloji Mühendisliği (Diğer)
Bölüm Araştırma Makalesi \ Research Makaleler
Yazarlar

Mehmet Ali Akgül 0000-0002-5517-9576

Şerife Pınar Güvel 0000-0002-3175-5938

Hakan Aksu 0000-0003-4686-7446

Yayımlanma Tarihi 25 Mart 2024
Gönderilme Tarihi 1 Eylül 2023
Kabul Tarihi 24 Aralık 2023
Yayımlandığı Sayı Yıl 2024 Cilt: 12 Sayı: 1

Kaynak Göster

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