Indian Journal of Geo-Marine Sciences

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Modeling of Accumulation Areas of Cohesive Sediments Entering the Southeastern Black Sea From Degirmendere River


Affiliations
1 Karadeniz Technical University, Faculty of Marine Sciences, Department of Maritime Transportation and Management Engineering, 61600, Trabzon, Turkey
 

Modeling transport, accumulation, and deposition areas of sediments are essential for assessing risks to coastal areas and the environment. In this study, the advection-dispersion and accumulation areas of cohesive sediments entering the Black Sea from Degirmendere Basin, the largest river basin on the Southeastern Black Sea coast, were modeled using the POMSED module, which is a submodule of The Princeton Ocean Model (POM). The fate of cohesive sediments in the marine environment has been predicted by different parameters, such as the change in the amount of cohesive sediment entering the Southeastern Black Sea, the dominant surface circulation, the effect of the wind pattern, and the anticyclonic cycle. In the high-flow seasons, the sediment drift velocity is also high. For large sediment drift velocity, cohesive sediments accumulate heavily in coastal areas east of the study area. It has been determined that high sediment drift velocity is the most influential parameter in determining the accumulation areas of cohesive sediments. In the low-flow seasons, the sediment drift velocity is also small. For small sediment drift velocity, cohesive sediments accumulate at the river's mouth under the influence of the predominant wind. This study will constitute the basis for coastal interventions to be carried out in the Southeastern Black Sea, port cleaning study plans, and risk assessment studies for areas where fishermen's shelters are located.

Keywords

Cohesive sediment, Dominant surface circulation, Sediment drift velocity, Sigma-coordinate system, Wind pattern]
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  • Özger M & Kabataş M B, Sediment Load Prediction by Combined Fuzzy Logic-Wavelet Method, J Hydroinformatics, 17 (6) (2015) 930–942. https://doi.org/10.2166/hydro.2015.148

  • Berkun M, Akdemir U O & Aras E, Water Runoff, Sediment Transport and Related Impacts in the Southeastern Black Sea Rivers, Environ Eng Manag J, 14 (4) (2015) 781-791.

  • Fitri A, Hashim R, Abolfathi S & Abdul Maulud K N, Dynamics of Sediment Transport and Erosion-Deposition Patterns in the Locality of a Detached Low-Crested Breakwater on a Cohesive Coast, Water, 11 (8) (2019) p. 1721.

  • Akar A, Gokalp E, Bayata H F & Akar O, Determining the Effects of Degirmendere River on Trabzon Harbor after Construction of Black Sea Highway on Black Sea Coast, Sci Res Essays, 5 (19) (2010) 2965-2974.

  • Serencam U, Taşkın Zararları ve Zarar Görebilirlik Analizi: Trabzon Değirmendere Sanayi Mahallesi Örneği, Doktora Tezi, (Karadeniz Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Trabzon), 2013.

  • Kalkan Y & Alkan R M, The Areas Covered by Water and Hydrographic Surveying, (Union of Chambers of Turkish Engineering and Architects Chamber of Survey and Cadastre Engineering, 10th Scientific and Technical Assembly of the Turkish Surveyors, Ankara, Turkey), 2005, (Published in Turkish), http://www.hkmo.org.tr/resimler/ekler/B3D8_115_ek.Pdf

  • Zhang M & Yu G, Critical Conditions of Incipient Motion of Cohesive Sediments, Water Resour Res, 53 (9) (2017) 7798-7815. https://doi.org/10.1002/2017WR021066

  • Taş E, Havza Planlamasi ve Yönetimi: Trabzon Değirmendere Havzasi Örneği, Yüksek Lisans Tezi, (Karadeniz Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Trabzon), 2014.

  • Yuksek Ö, Önsoy H, Kömürcü M, Kankal M & Akpınar A, Evaluation of The Coastal in Terms of Blacksea Highway, 6th National Coastal Engineering Symposium, (Published in Turkish), Izmir, 2007, Turkey. http://www.ekutuphane.imo.org.tr/pdf/3813.pdf

  • Ozseker K, Eruz C, Ciliz S & Mani F, Assessment of Heavy Metal Contribution and Associated Ecological Risk in the Coastal Zone Sediments of the Black Sea: Trabzon, CLEANSoil, Air, Water, 42 (10) (2014) 1477–1482. Doi: 10.1002/clen.201300785

  • Droppo I G & Krishnappan B G, Modeling of Hydrophobic Cohesive Sediment Transport in the Ells River Alberta, Canada, J Soils Sediments, 16 (12) (2016) 2753-2765. Doi: 10.1007/s11368-016-1501-7

  • Zhang J, Chu D, Wang D, Cao A, Lv X, et al., Estimation of Spatially Varying Parameters in Three-Dimensional Cohesive Sediment Transport Models by Assimilating Remote Sensing Data, J Mar Sci Technol, 23 (2018) 319- 332. https://doi.org/10.1007/s00773-017-0477-3

  • Wang D, Zhang J, He X, Chu D, Lv X, et al., Parameter Estimation for a Cohesive Sediment Transport Model by Assimilating Satellite Observations in the Hangzhou Bay: Temporal Variations and Spatial Distributions, Ocean Model, 121 (2018) 34-48. https://doi.org/10.1016/j.ocemod.2017.11.007

  • Yazir D, Sediment Taşınımının Matematiksel Modeli, Yüksek Lisans Tezi, (Karadeniz Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Trabzon), 2016.

  • Sherwood C R, Aretxabaleta A L, Harris C K, Rinehimer J P, Verney R, et al., Cohesive and Mixed Sediment in the Regional Ocean Modeling System (ROMS v3.6) Implemented in the Coupled Ocean–Atmosphere–Wave-Sediment Transport Modeling System (COAWST r1234), Geosci Model Dev, 11 (5) (2018) 1849–1871. https://doi.org/10.5194/gmd-11-1849-2018

  • Zhao J, Özgen-Xian I, Liang D, Wang T & Hinkelmann R, A Depth-Averaged Non-Cohesive Sediment Transport Model with Improved Discretization of Flux and Source Terms, J Hydrol, 570 (2019) 647-665. Doi: 10.1016/j.jhydrol.2018.12.059

  • Vaz N, Vaz L, Serodio J & Dias J M, A Modeling Study of Light Extinction due to Cohesive Sediments in a Shallow Coastal Lagoon Under Well Mixed Conditions, Sci Total Environ, 694 (2019) p. 133707. https://doi.org/10.1016/j.scitotenv.2019.133707

  • Lu X, Wang X, Ban X & Singh V P, Transport Characteristics of Non-Cohesive Sediment with Different Hydrological Durations and Sediment Transport Formulas, J Hydrol, 591 (2020) p. 125489. Doi: 10.1016/j.jhydrol.2020.125489

  • Wang D, Zhang J, Mao X, Bian C & Zhou Z, Simultaneously Assimilating Multi-Source Observations into A Three- Dimensional Suspended Cohesive Sediment Transport Model by The Adjoint Method in The Bohai Sea, Estuar Coast Shelf Sci, 241 (2020) p. 106809. https://doi.org/10.1016/j.ecss.2020.106809

  • Feng Z, Tan G, Xia J, Shu C, Chen P, et al., Two-Dimensional Numerical Simulation of Sediment Transport Using Improved Critical Shear Stress Methods, Int J Sediment Res, 35 (1) (2020) 1-52. https://doi.org/10.1016/j.ijsrc.2019.10.003

  • Shu C, Tan G, Chen P, Wang J & Lv P, Experimental Study on Incipient Shear Stress of Consolidated Cohesive Sediment, Arab J Geosci, 13 (18) (2020) p. 964. https://doi.org/10.1007/s12517-020-05978-4

  • Chassagne C & Safar Z, Modelling Flocculation: Towards an Integration in Large-Scale Sediment Transport Models, Mar Geol, 430 (2020) p. 106361. Doi: 10.1016/j.margeo.2020.106361

  • Zhu L, Gong W, Zhang H, Huang W & Zhang R, Numerical Study of Sediment Transport Time Scales in an Ebb- Dominated Waterway, J Hydrol, 591 (2020) p. 125299. Doi: 10.1016/j.jhydrol.2020.125299

  • Orseau S, Huybrechts N, Tassi P, Damien Pham V B & Klein F, Two-Dimensional Modeling of Fine Sediment Transport with Mixed Sediment and Consolidation: Application to the Gironde Estuary, France, Int J Sediment Res, 36 (6) (2021) 736-746. Doi: 10.1016/j.ijsrc.2019.12.005

  • Tayfur G, Empirical, Numerical, and Soft Modelling Approaches for Non-Cohesive Sediment Transport, Environ Process, 8 (1) (2021) 1-22. https://doi.org/10.1007/s40710-020-00480-1

  • Egan G, Chang G, McWilliams S, Revelas G, Fringer O, et al., Cohesive Sediment Erosion in a Combined Wave- Current Boundary Layer, JGR Oceans, 126 (2) (2020) p. e2020JC016655. https://doi.org/10.1029/2020JC016655

  • Stone M, Krishnappan B G, Granger S, Upadhayay H R, Zhang Y, et al., Deposition Behaviour of Cohesive Sediment in the Upper River Taw Observatory, Southwest UK: Implications for Management and Modelling, J Hydrol, 598 (2021) p. 126145. https://doi.org/10.1016/j.jhydrol.2021.126145

  • Oguz T, Latun V S, Latif M A, Vladimirov V V, Sur H I, et al., Circulation in the surface and intermediate layers of the Black Sea, Deep Sea Res Part I Oceanogr Res, 40 (8) (1993) 1597-1612. https://doi.org/10.1016/0967-0637(93)90018-X

  • Özsoy E & Ünlüata Ü, Oceanography of the Black Sea: a review of some recent results, Earth-Sci Rev, 42 (4) (1997) 231-272. https://doi.org/10.1016/S0012-8252(97)81859-4

  • Stanev E V, Black Sea dynamics, Oceanography, 18 (2) (2005) 56-75.

  • Stanev E V & Kandilarov R, Sediment dynamics in the Black Sea: numerical modelling and remote sensing observations, Ocean Dyn, 62 (4) (2012) 533-553. Doi: 10.1007/s10236-012-0520-1

  • Gunduz M, Özsoy E & Hordoir R, A model of Black Sea circulation with strait exchange (2008–2018), Geosci Model Dev, 13 (1) (2020) 121-138. https://doi.org/10.5194/gmd-13-121-2020

  • Ghose-Hajra M, McCorquodale J A, Mattson G, Jerolleman D & Filostrat J, Effects of Salinity and Particle Concentration on Sediment Hydrodynamics and Critical Bed-Shear-Stress for Erosion of Fine-Grained Sediments used in Wetland Restoration Projects, in Sediment Dynamics from the Summit to the Sea, New Orleans, Louisiana, USA, Proc IAHS, 367 (2015) 435–441. https://doi.org/10.5194/piahs-367-435-2015

  • Partheniades E, Estuarine Sediment Dynamics and Shoaling Processes, In: Handbook of Coastal and Ocean Engineering, Vol 3, edited by J Herbick, (Elsevier, New York), 1992, pp. 985 – 1071.

  • Gasper S, Princeton Ocean Model, (University of Ljubljana, Faculty of Mathematics and Physics, Department of Physics, Ljubljana), 2006.

  • Yazir D, Unver I, Kose E & Yazıci Z B, Modelling of Cohesive –Sediment Depositional Areas Carried by the Solaklı River to the Eastern Black Sea, Indian J Geo-Mar Sci, 47 (3) (2018) 721-728.

  • Mellor G L & Blumberg A F, Modeling Vertical and Horizontal Viscosity and the Sigma Coordinate System, Monthly Weather Review, 113 (8) (1985) 1379-1383.

  • HydroQual, Inc., A primer for ECOMSED Manual, version 1.3, USA, 2002.

  • Chen B & Wang K, Suspended sediment transport in the offshore near Yangtze Estuary, J Hydrodyn, 20 (3) (2008) 373-381.

  • Chu A, Wang Z & deVriend H J, Analysis on Residual Coarse Sediment Transport in estuaries, Estuar Coast Shelf Sci, 163 (2015) 194-205. https://doi.org/10.1016 /j.ecss.2015.06.003

  • Gailani J, Ziegler C K & Lick W, The Transport of Sediments in the Fox River, J Great Lakes Res, 17 (4) (1991) 479-494. https://doi.org/10.1016/S0380-1330(91)71384-1

  • Krone R B, Flume Studies of The Transport of sediment in Estuarial Shoaling Processes, (Final Report, Hydraulic Engr, Lab Sanitary Engr Res Lab, Univ of California, Berkeley) 1962, pp. 110.

  • Bıyık C & İnan H İ (eds), Çevresel Koruma Amaçlı Olarak Trabzon-Değirmendere Havzası için Mülkiyet Yönetim Fonksiyonlarının Geliştirilmesi ve Kırsal Arazi Düzenlemesinin Modellenmesi (DEVAMOD) Projesi Sonuç Raporu, (Proje Kodu: 2002.112.006.1, Karadeniz Teknik Üniversitesi, Trabzon). 2007.

  • Korotaev G K, Oguz T, Dorofeyev V L, Demyshev S G, Kubryakov A I, et al., Development of Black Sea Nowcasting and Forecasting System, Ocean Sci, 7 (5) (2011) 629-649. https://doi.org/10.5194/os-7-629-2011

  • URL-1: DSI, The General Directorate of State Hydraulic Works, Observatin Data Bank 2021, Url: http://svtbilgi.dsi.gov.tr/Sorgu.aspx (20.12.2022).


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  • Modeling of Accumulation Areas of Cohesive Sediments Entering the Southeastern Black Sea From Degirmendere River

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Authors

Devran Yazir
Karadeniz Technical University, Faculty of Marine Sciences, Department of Maritime Transportation and Management Engineering, 61600, Trabzon, Turkey

Abstract


Modeling transport, accumulation, and deposition areas of sediments are essential for assessing risks to coastal areas and the environment. In this study, the advection-dispersion and accumulation areas of cohesive sediments entering the Black Sea from Degirmendere Basin, the largest river basin on the Southeastern Black Sea coast, were modeled using the POMSED module, which is a submodule of The Princeton Ocean Model (POM). The fate of cohesive sediments in the marine environment has been predicted by different parameters, such as the change in the amount of cohesive sediment entering the Southeastern Black Sea, the dominant surface circulation, the effect of the wind pattern, and the anticyclonic cycle. In the high-flow seasons, the sediment drift velocity is also high. For large sediment drift velocity, cohesive sediments accumulate heavily in coastal areas east of the study area. It has been determined that high sediment drift velocity is the most influential parameter in determining the accumulation areas of cohesive sediments. In the low-flow seasons, the sediment drift velocity is also small. For small sediment drift velocity, cohesive sediments accumulate at the river's mouth under the influence of the predominant wind. This study will constitute the basis for coastal interventions to be carried out in the Southeastern Black Sea, port cleaning study plans, and risk assessment studies for areas where fishermen's shelters are located.

Keywords


Cohesive sediment, Dominant surface circulation, Sediment drift velocity, Sigma-coordinate system, Wind pattern]

References