Publication [J.06]
Samaras, A.G., De Dominicis, M., Archetti, R., Lamberti, A. and Pinardi, N. (2014). Towards improving the representation of beaching in oil spill models: A case study. Marine Pollution Bulletin, 88 (1-2), pp.91-101, DOI. (PDF*)
oil spills •• beaching •• wave dynamics •• hydrodynamics •• ocean & coastal scale
Abstract
Oil-shoreline interaction (or “beaching” as commonly referred to in literature) is an issue of major concern in oil spill modelling, due to the significant environmental, social and economic importance of coastal areas. The present work studies the improvement of the representation of beaching brought by the introduction of the Oil Holding Capacity approach to estimate oil concentration on coast, along with new approaches for coast type assignment to shoreline segments and the calculation of permanent oil attachment to the coast. The above were tested for the Lebanon oil spill of 2006, using a modified version of the open-source oil spill model MEDSLIK-II. The modified model results were found to be in good agreement with field observations for the specific case study, and their comparison with the original model results denote the significant improvement in the fate of beached oil brought by the proposed changes.
Oil-shoreline interaction (or “beaching” as commonly referred to in literature) is an issue of major concern in oil spill modelling, due to the significant environmental, social and economic importance of coastal areas. The present work studies the improvement of the representation of beaching brought by the introduction of the Oil Holding Capacity approach to estimate oil concentration on coast, along with new approaches for coast type assignment to shoreline segments and the calculation of permanent oil attachment to the coast. The above were tested for the Lebanon oil spill of 2006, using a modified version of the open-source oil spill model MEDSLIK-II. The modified model results were found to be in good agreement with field observations for the specific case study, and their comparison with the original model results denote the significant improvement in the fate of beached oil brought by the proposed changes.
Works that reference this work
[36] Liubartseva, S., Coppini, G., Verdiani, G., Mungari, T., Ronco, F., Pinto, M., Pastore, G. and Lecci, R. (2023). Modeling chronic oil pollution from ships. Marine Pollution Bulletin, 195, 115450, DOI.
[35] Mogollón, R., Arellano, C., Villegas, P., Espinoza-Morriberón, D. and Tam, J. (2023). REPSOL oil spill off Central Perú in January 2022: A modeling case study. Marine Pollution Bulletin, 194, 115282, DOI.
[34] Jiang, X., Teng, S., Gan, J. and Jin, C. (2023). Simulation of the Drift and Diffusion of Marine Oil Spill under the Effect of Wind, Ocean Current and Tides. International Journal of Modeling, Simulation, and Scientific Computing, DOI.
[33] Abdallah, I.M. and Chantsev, V.Y. (2023). Simulation of Oil Spill Trajectory and Fate at the Southern Entrance of the Suez Canal, Red Sea, Egypt. Fundamental and Applied Hydrophysics, 16 (1), pp.63-79, DOI.
[32] Zhang, Y., Wu, P., Xu, R., Wang, X., Lei, L., Schartup, A.T., Peng, Y., Pang, Q., Wang, X., Mai, L., Wang, R., Liu, H., Wang, X., Luijendijk, A., Chassignet, E., Xu, X., Shen, H., Zheng, S. and Zeng, E.Y. (2023). Plastic waste discharge to the global ocean constrained by seawater observations. Nature Communications, 14 (1), 1372, DOI.
[31] Adofo, Y.K., Nyankson, E. and Agyei-Tuffuor, B. Dispersants as an Oil Spill Clean-Up Technique in the Marine Environment: A Review. Heliyon, 8 (3), E10153, DOI.
[30] Fernandes, R., Necci, A. and Krausmann, E. (2022). Model(s) for the dispersion of hazardous substances in floodwaters for rapid-n. JRC Report, EUR 30968 EN, JRC127375, Publications Office of the European Union, Luxembourg, p.194, DOI.
[29] Onink, V., van Sebille, E. and Laufkötter, C. (2022). Empirical Lagrangian parametrization for wind-driven mixing of buoyant particles at the ocean surface. Geoscientific Model Development, 15 (5), pp.1995-2012, DOI.
[28] Daily, J., Onink, V., Jongedijk, C.E., Laufkötter, C. and Hoffman, M.J. (2021). Incorporating terrain specific beaching within a lagrangian transport plastics model for Lake Erie. Microplastics and Nanoplastics, 1 (1), 19, DOI.
[27] Daily, J. (2021). Mathematically Modeling Plastic Pollution in the Great Lakes. PhD Thesis, School of Mathematical Sciences, College of Science, Rochester Institute of Technology, Rochester, NY, p.101. (Link)
[26] Dearden, C., Culmer, T. and Brooke, R. (2022). Performance Measures for Validation of Oil Spill Dispersion Models Based on Satellite and Coastal Data. IEEE Journal of Oceanic Engineering, 47 (1), pp.126-140, DOI.
[25] Taylor, E., Owens, E.H., Lee, K., An, C.J. and Chen, Z. (2021). A Review of Numerical Models for Oil Penetration, Retention, and Attenuation on Shorelines. Journal of Environmental Informatics Letters, 5 (1), pp.27-38, DOI.
[24] Stephansen, C., Bjørgesæter, A., Brude, O.W., Brönner, U., Rogstad, T.W., Kjeilen-Eilertsen, G., Libre, J.-M. and Collin-Hansen, C. (2021). Assessing Environmental Risk of Oil Spills with ERA Acute. Springer, Cham, p.119, DOI.
[23] Yang, Z., Chen, Z., Lee, K., Owens, E., Boufadel, M.C., An, C. and Taylor, E. (2021). Decision support tools for oil spill response (OSR-DSTs): Approaches, challenges, and future research perspectives. Marine Pollution Bulletin, 167, 112313, DOI.
[22] Na, B., Son, S. and Choi, J.-C. (2021). Modeling of Accidental Oil Spills at Different Phases of LNG Terminal Construction. Journal of Marine Science and Engineering, 9 (4), 392, DOI.
[21] Kampouris, K., Vervatis, V., Karagiorgos, J. and Sofianos, S. (2021). Oil spill model uncertainty quantification using an atmospheric ensemble. Ocean Science, 17 (4), pp.919-934, DOI.
[20] Onink, V., Jongedijk, C., Hoffman, M., van Sebille, E. and Laufkötter, C. (2021). Global simulations of marine plastic transport show plastic trapping in coastal zones. Environmental Research Letters, in press, DOI.
[19] Kaandorp, M., L. A. , Dijkstra, H., A. and van Sebille, E. (2021). Modelling size distributions of marine plastics under the influence of continuous cascading fragmentation. Environmental Research Letters, in press, DOI.
[18] Keramea, P., Spanoudaki, K., Zodiatis, G., Gikas, G. and Sylaios, G. (2021). Oil Spill Modeling: A Critical Review on Current Trends, Perspectives, and Challenges. Journal of Marine Science and Engineering, 9 (2), 181, DOI.
[17] Liubartseva, S., Smaoui, M., Coppini, G., Gonzalez, G., Lecci, R., Cretì, S. and Federico, I. (2020). Model-based reconstruction of the Ulysse-Virginia oil spill, October–November 2018. Marine Pollution Bulletin, 154, 111002, DOI.
[16] Lee, K.-H., Kim, T.-G. and Cho, Y.-H. (2020). Influence of Tidal Current, Wind, and Wave in Hebei Spirit Oil Spill Modeling. Journal of Marine Science and Engineering, 8 (2), 69, DOI.
[15] Duran, R., Romeo, L., Whiting, J., Vielma, J., Rose, K., Bunn, A. and Bauer, J. (2018). Simulation of the 2003 Foss Barge - Point Wells oil spill: A comparison between BLOSOM and GNOME oil spill models. Journal of Marine Science and Engineering, 6, 104, DOI.
[14] Mohtar, S.E., Hoteit, I., Knio, O., Issa, L. and Lakkis, I. (2018). Lagrangian Tracking in Stochastic Fields with Application to an Ensemble of Velocity Fields in the Red Sea. Ocean Modelling, 131, pp.1-14, DOI.
[13] Toz, A.C. and Buber, M. (2018). Performance evaluation of oil spill software systems in early fate and trajectory of oil spill: comparison analysis of OILMAP and PISCES 2 in Mersin bay spill. Environmental Monitoring and Assessment, 190 (9), 551, DOI.
[12] Zodiatis, G., Coppini, G., Perivoliotis, L., Lardner, R., Alves, T., Pinardi, N., Liubartseva, S., De Dominicis, M., Bourma, E. and Sepp Neves, A.A. (2018). Numerical Modeling of Oil Pollution in the Eastern Mediterranean Sea. Carpenter, A. and Kostianoy, A. G. (Eds.), Oil Pollution in the Mediterranean Sea: Part I: The International Context (pp.215-254). Springer International Publishing: Cham, DOI.
[11] Khade, S.M. and Srivastava, S.K. (2017). Genetically Modified Microbes for Bioremediation of Oil Spills in Marine Environment. In: Rathoure, A. K. (Ed.), Bioremediation: Current Research and Applications (pp.275-292). IK International Publishing House: Delhi, India. (Link)
[10] Maitieg, A.S. (2017). Oil spill assessment and coastal zone management planning for the Misratah coastline, Libya. PhD Thesis, Ryan Institute, The College of Science, National University of Ireland Galway, Galway, Ireland, p.206. (Link)
[09] Makatounis, P.E., Skancke, J., Florou, E., Stamou, A. and Brandvik, P.J. (2017). Management of oil spill contamination in the Gulf of Patras caused by an accidental subsea blowout. Environmental Pollution, 231, Part 1, pp.578-588, DOI.
[08] Rouhani, S., Baker, M.C., Steinhoff, M., Zhang, M., Oehrig, J., Zelo, I.J., Emsbo-Mattingly, S.D., Nixon, Z., Willis, J.M. and Hester, M.W. (2017). Nearshore exposure to Deepwater Horizon oil. Marine Ecology Progress Series, 576, pp.111-124, DOI.
[07] Zhao, S., Zhou, R.-J., Liu, Y.-T., Zhang, J. and Han, L.-J. (2016). The toxicity research of heavy crude and light crude oil on Artemia. Modern Agricultural Science and Technology, 4, 126. (Link)
[06] Marcotte, G., Bourgouin, P., Mercier, G., Gauthier, J.P., Pellerin, P., Smith, G., Onu, K. and Brown, C.E. (2016). Canadian oil spill modelling suite: An overview. 39th AMOP Technical Seminar on Environmental Contamination and Response, Halifax, Nova Scotia, Canada, June 7-9, 2016. (Link)
[05] Cucco, A. and Daniel, P. (2016). Numerical Modeling of Oil Pollution in the Western Mediterranean Sea. In: The Handbook of Environmental Chemistry (pp.1-20). Springer Berlin Heidelberg: Berlin, Heidelberg, DOI.
[04] Liubartseva, S., Coppini, G., Pinardi, N., De Dominicis, M., Lecci, R., Turrisi, G., Cretì, S., Martinelli, S., Agostini, P., Marra, P. and Palermo, F. (2016). Decision support system for emergency management of oil spill accidents in the Mediterranean Sea. Natural Hazards and Earth System Sciences, 16 (8), pp.2009-2020, DOI.
[03] Simecek-Beatty, D. and Lehr, W.J. (2016). Forensic trajectory modeling of marine oil spills. In: S. Stout & Z. Wang (Eds.), Standard Handbook Oil Spill Environmental Forensics: Fingerprinting and Source Identification (pp.1015-1037). Academic Press: Boston, DOI.
[02] Sepp Neves, A.A., Pinardi, N. and Martins, F. (2016). IT-OSRA: applying ensemble simulations to estimate the oil spill risk associated to operational and accidental oil spills. Ocean Dynamics, 66 (8), pp.939-954, DOI.
[01] Brude, O.W., Rusten, M. and Braathen, M. (2015). Development of Shoreline Compartment Algorithms. Report 4: ERA ACUTE PHASE 3 SHORELINE, Report No.: 1IL8NGC-9. DNV-GL, pp.43. (Link)
[36] Liubartseva, S., Coppini, G., Verdiani, G., Mungari, T., Ronco, F., Pinto, M., Pastore, G. and Lecci, R. (2023). Modeling chronic oil pollution from ships. Marine Pollution Bulletin, 195, 115450, DOI.
[35] Mogollón, R., Arellano, C., Villegas, P., Espinoza-Morriberón, D. and Tam, J. (2023). REPSOL oil spill off Central Perú in January 2022: A modeling case study. Marine Pollution Bulletin, 194, 115282, DOI.
[34] Jiang, X., Teng, S., Gan, J. and Jin, C. (2023). Simulation of the Drift and Diffusion of Marine Oil Spill under the Effect of Wind, Ocean Current and Tides. International Journal of Modeling, Simulation, and Scientific Computing, DOI.
[33] Abdallah, I.M. and Chantsev, V.Y. (2023). Simulation of Oil Spill Trajectory and Fate at the Southern Entrance of the Suez Canal, Red Sea, Egypt. Fundamental and Applied Hydrophysics, 16 (1), pp.63-79, DOI.
[32] Zhang, Y., Wu, P., Xu, R., Wang, X., Lei, L., Schartup, A.T., Peng, Y., Pang, Q., Wang, X., Mai, L., Wang, R., Liu, H., Wang, X., Luijendijk, A., Chassignet, E., Xu, X., Shen, H., Zheng, S. and Zeng, E.Y. (2023). Plastic waste discharge to the global ocean constrained by seawater observations. Nature Communications, 14 (1), 1372, DOI.
[31] Adofo, Y.K., Nyankson, E. and Agyei-Tuffuor, B. Dispersants as an Oil Spill Clean-Up Technique in the Marine Environment: A Review. Heliyon, 8 (3), E10153, DOI.
[30] Fernandes, R., Necci, A. and Krausmann, E. (2022). Model(s) for the dispersion of hazardous substances in floodwaters for rapid-n. JRC Report, EUR 30968 EN, JRC127375, Publications Office of the European Union, Luxembourg, p.194, DOI.
[29] Onink, V., van Sebille, E. and Laufkötter, C. (2022). Empirical Lagrangian parametrization for wind-driven mixing of buoyant particles at the ocean surface. Geoscientific Model Development, 15 (5), pp.1995-2012, DOI.
[28] Daily, J., Onink, V., Jongedijk, C.E., Laufkötter, C. and Hoffman, M.J. (2021). Incorporating terrain specific beaching within a lagrangian transport plastics model for Lake Erie. Microplastics and Nanoplastics, 1 (1), 19, DOI.
[27] Daily, J. (2021). Mathematically Modeling Plastic Pollution in the Great Lakes. PhD Thesis, School of Mathematical Sciences, College of Science, Rochester Institute of Technology, Rochester, NY, p.101. (Link)
[26] Dearden, C., Culmer, T. and Brooke, R. (2022). Performance Measures for Validation of Oil Spill Dispersion Models Based on Satellite and Coastal Data. IEEE Journal of Oceanic Engineering, 47 (1), pp.126-140, DOI.
[25] Taylor, E., Owens, E.H., Lee, K., An, C.J. and Chen, Z. (2021). A Review of Numerical Models for Oil Penetration, Retention, and Attenuation on Shorelines. Journal of Environmental Informatics Letters, 5 (1), pp.27-38, DOI.
[24] Stephansen, C., Bjørgesæter, A., Brude, O.W., Brönner, U., Rogstad, T.W., Kjeilen-Eilertsen, G., Libre, J.-M. and Collin-Hansen, C. (2021). Assessing Environmental Risk of Oil Spills with ERA Acute. Springer, Cham, p.119, DOI.
[23] Yang, Z., Chen, Z., Lee, K., Owens, E., Boufadel, M.C., An, C. and Taylor, E. (2021). Decision support tools for oil spill response (OSR-DSTs): Approaches, challenges, and future research perspectives. Marine Pollution Bulletin, 167, 112313, DOI.
[22] Na, B., Son, S. and Choi, J.-C. (2021). Modeling of Accidental Oil Spills at Different Phases of LNG Terminal Construction. Journal of Marine Science and Engineering, 9 (4), 392, DOI.
[21] Kampouris, K., Vervatis, V., Karagiorgos, J. and Sofianos, S. (2021). Oil spill model uncertainty quantification using an atmospheric ensemble. Ocean Science, 17 (4), pp.919-934, DOI.
[20] Onink, V., Jongedijk, C., Hoffman, M., van Sebille, E. and Laufkötter, C. (2021). Global simulations of marine plastic transport show plastic trapping in coastal zones. Environmental Research Letters, in press, DOI.
[19] Kaandorp, M., L. A. , Dijkstra, H., A. and van Sebille, E. (2021). Modelling size distributions of marine plastics under the influence of continuous cascading fragmentation. Environmental Research Letters, in press, DOI.
[18] Keramea, P., Spanoudaki, K., Zodiatis, G., Gikas, G. and Sylaios, G. (2021). Oil Spill Modeling: A Critical Review on Current Trends, Perspectives, and Challenges. Journal of Marine Science and Engineering, 9 (2), 181, DOI.
[17] Liubartseva, S., Smaoui, M., Coppini, G., Gonzalez, G., Lecci, R., Cretì, S. and Federico, I. (2020). Model-based reconstruction of the Ulysse-Virginia oil spill, October–November 2018. Marine Pollution Bulletin, 154, 111002, DOI.
[16] Lee, K.-H., Kim, T.-G. and Cho, Y.-H. (2020). Influence of Tidal Current, Wind, and Wave in Hebei Spirit Oil Spill Modeling. Journal of Marine Science and Engineering, 8 (2), 69, DOI.
[15] Duran, R., Romeo, L., Whiting, J., Vielma, J., Rose, K., Bunn, A. and Bauer, J. (2018). Simulation of the 2003 Foss Barge - Point Wells oil spill: A comparison between BLOSOM and GNOME oil spill models. Journal of Marine Science and Engineering, 6, 104, DOI.
[14] Mohtar, S.E., Hoteit, I., Knio, O., Issa, L. and Lakkis, I. (2018). Lagrangian Tracking in Stochastic Fields with Application to an Ensemble of Velocity Fields in the Red Sea. Ocean Modelling, 131, pp.1-14, DOI.
[13] Toz, A.C. and Buber, M. (2018). Performance evaluation of oil spill software systems in early fate and trajectory of oil spill: comparison analysis of OILMAP and PISCES 2 in Mersin bay spill. Environmental Monitoring and Assessment, 190 (9), 551, DOI.
[12] Zodiatis, G., Coppini, G., Perivoliotis, L., Lardner, R., Alves, T., Pinardi, N., Liubartseva, S., De Dominicis, M., Bourma, E. and Sepp Neves, A.A. (2018). Numerical Modeling of Oil Pollution in the Eastern Mediterranean Sea. Carpenter, A. and Kostianoy, A. G. (Eds.), Oil Pollution in the Mediterranean Sea: Part I: The International Context (pp.215-254). Springer International Publishing: Cham, DOI.
[11] Khade, S.M. and Srivastava, S.K. (2017). Genetically Modified Microbes for Bioremediation of Oil Spills in Marine Environment. In: Rathoure, A. K. (Ed.), Bioremediation: Current Research and Applications (pp.275-292). IK International Publishing House: Delhi, India. (Link)
[10] Maitieg, A.S. (2017). Oil spill assessment and coastal zone management planning for the Misratah coastline, Libya. PhD Thesis, Ryan Institute, The College of Science, National University of Ireland Galway, Galway, Ireland, p.206. (Link)
[09] Makatounis, P.E., Skancke, J., Florou, E., Stamou, A. and Brandvik, P.J. (2017). Management of oil spill contamination in the Gulf of Patras caused by an accidental subsea blowout. Environmental Pollution, 231, Part 1, pp.578-588, DOI.
[08] Rouhani, S., Baker, M.C., Steinhoff, M., Zhang, M., Oehrig, J., Zelo, I.J., Emsbo-Mattingly, S.D., Nixon, Z., Willis, J.M. and Hester, M.W. (2017). Nearshore exposure to Deepwater Horizon oil. Marine Ecology Progress Series, 576, pp.111-124, DOI.
[07] Zhao, S., Zhou, R.-J., Liu, Y.-T., Zhang, J. and Han, L.-J. (2016). The toxicity research of heavy crude and light crude oil on Artemia. Modern Agricultural Science and Technology, 4, 126. (Link)
[06] Marcotte, G., Bourgouin, P., Mercier, G., Gauthier, J.P., Pellerin, P., Smith, G., Onu, K. and Brown, C.E. (2016). Canadian oil spill modelling suite: An overview. 39th AMOP Technical Seminar on Environmental Contamination and Response, Halifax, Nova Scotia, Canada, June 7-9, 2016. (Link)
[05] Cucco, A. and Daniel, P. (2016). Numerical Modeling of Oil Pollution in the Western Mediterranean Sea. In: The Handbook of Environmental Chemistry (pp.1-20). Springer Berlin Heidelberg: Berlin, Heidelberg, DOI.
[04] Liubartseva, S., Coppini, G., Pinardi, N., De Dominicis, M., Lecci, R., Turrisi, G., Cretì, S., Martinelli, S., Agostini, P., Marra, P. and Palermo, F. (2016). Decision support system for emergency management of oil spill accidents in the Mediterranean Sea. Natural Hazards and Earth System Sciences, 16 (8), pp.2009-2020, DOI.
[03] Simecek-Beatty, D. and Lehr, W.J. (2016). Forensic trajectory modeling of marine oil spills. In: S. Stout & Z. Wang (Eds.), Standard Handbook Oil Spill Environmental Forensics: Fingerprinting and Source Identification (pp.1015-1037). Academic Press: Boston, DOI.
[02] Sepp Neves, A.A., Pinardi, N. and Martins, F. (2016). IT-OSRA: applying ensemble simulations to estimate the oil spill risk associated to operational and accidental oil spills. Ocean Dynamics, 66 (8), pp.939-954, DOI.
[01] Brude, O.W., Rusten, M. and Braathen, M. (2015). Development of Shoreline Compartment Algorithms. Report 4: ERA ACUTE PHASE 3 SHORELINE, Report No.: 1IL8NGC-9. DNV-GL, pp.43. (Link)
Author's works that reference this work
[J.18] Gaeta, M.G., Samaras, A.G. and Archetti, R. (2020). Numerical investigation of thermal discharge to coastal areas: a case study in South Italy. Environmental Modelling & Software, 124, 104596, DOI.
[J.10] Sepp Neves, A.A., Pinardi, N., Martins, F., Janeiro, J., Samaras, A., Zodiatis, G. and De Dominicis, M. (2015). Towards a common oil spill risk assessment framework - Adapting ISO 31000 and addressing uncertainties. Journal of Environmental Management, 159, pp.158-168, DOI.
[J.18] Gaeta, M.G., Samaras, A.G. and Archetti, R. (2020). Numerical investigation of thermal discharge to coastal areas: a case study in South Italy. Environmental Modelling & Software, 124, 104596, DOI.
[J.10] Sepp Neves, A.A., Pinardi, N., Martins, F., Janeiro, J., Samaras, A., Zodiatis, G. and De Dominicis, M. (2015). Towards a common oil spill risk assessment framework - Adapting ISO 31000 and addressing uncertainties. Journal of Environmental Management, 159, pp.158-168, DOI.
