Modelacíon ambiental del vertimiento en cuerpos de agua marino
| dc.contributor.advisor | García Murillo, Paulo German | |
| dc.contributor.advisor | Álvarez Berrio, Johan Alexander | |
| dc.contributor.author | Hudgson Arboleda, Martha Jayline | |
| dc.contributor.corporatename | Universidad Santo Tomás | |
| dc.contributor.cvlac | https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000295612 | |
| dc.contributor.cvlac | https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001559247 | |
| dc.contributor.googlescholar | https://scholar.google.com/citations?user=60GkRtsAAAAJ&hl=es&oi=ao | |
| dc.contributor.orcid | https://orcid.org/0000-0003-4086-0489 | |
| dc.contributor.orcid | https://orcid.org/0000-0001-7805-7128 | |
| dc.date.accessioned | 2025-09-29T13:04:14Z | |
| dc.date.available | 2025-09-29T13:04:14Z | |
| dc.date.issued | 2025-09-26 | |
| dc.description | El articulo analiza los enfoques y modelos usados para simular los vertimientos en cuerpos de agua marinos, esto con el objetivo de entender sus impactos ambientales. Mediante una revisión bibliográfica sistemática en bases científicas, se recopilaron estudios que utilizan modelos numéricos, hidrodinámicos y de calidad en los contextos urbanos, insulares e industriales. También se identificaron las variables y modelos más comunes en estos escenarios. Los resultados resaltan la importancia de la modelación como herramienta predictiva en la dispersión de contaminantes, evaluación de riesgos y diseño de infraestructura. Modelos utilizados como ROMS, MIKE3 Y visual plumes permiten simular las condiciones estacionales, mareas y componentes químicos. Además, destaca la importancia de integrar datos de campo para validar simulaciones. Finalmente, la revisión evidencia que la modelación no solo predice la dispersión de contaminantes, sino que también identifica zonas vulnerables y riesgos para la salud pública, especialmente en ecosistemas sensibles como arrecifes, manglares y pastos marinos. Aunque existen limitaciones asociadas a la disponibilidad de datos y a la complejidad de los modelos, se resalta la necesidad de fortalecer la recolección de información ambiental y establecer lineamientos técnicos estandarizados. | |
| dc.description.abstract | This article analyzes the approaches and models used to simulate discharges into marine water bodies, with the goal of understanding their environmental impacts. Through a systematic literature review based on scientific evidence, studies were compiled that use numerical, hydrodynamic, and quality models in urban, island, and industrial contexts. The most common variables and models in these scenarios were also identified. The results highlight the importance of modeling as a predictive tool in pollutant dispersion, risk assessment, and infrastructure design. Models such as ROMS, MIKE3, and visual plumes allow for the simulation of seasonal conditions, tides, and chemical components. Furthermore, it highlights the importance of integrating field data to validate simulations. Finally, the review shows that modeling not only predicts pollutant dispersion but also identifies vulnerable areas and public health risks, especially in sensitive ecosystems such as reefs, mangroves, and seagrass beds. Although there are limitations associated with data availability and model complexity, the need to strengthen environmental data collection and establish standardized technical guidelines is highlighted. | |
| dc.description.degreelevel | Pregrado | spa |
| dc.description.degreename | Ingeniero Ambiental | spa |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Hudgson Arboleda, M. J. (2025) Modelacíon ambiental del vertimiento en cuerpos de agua marino. [Trabajo de Grado, Universidad Santo Tomas]. Repositorio institucional. | |
| dc.identifier.instname | instname:Universidad Santo Tomás | spa |
| dc.identifier.reponame | reponame:Repositorio Institucional Universidad Santo Tomás | spa |
| dc.identifier.repourl | repourl:https://repository.usta.edu.co | spa |
| dc.identifier.uri | http://hdl.handle.net/11634/69937 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad Santo Tomás | spa |
| dc.publisher.branch | CRAI-USTA Bogotá | |
| dc.publisher.faculty | Facultad de Ingeniería Ambiental | spa |
| dc.publisher.program | Pregrado de Ingeniería Ambiental | spa |
| dc.relation.references | 1. Al Mamoon, A., Al-Sulaiti, H., Al-Kuwari, H., & Khairy, H. (2020). Stormwater disposal through marine outfalls in the Bay of Doha, Qatar: Environmental risk assessment using numerical modeling. Science of The Total Environment, 732, 139305. https://doi.org/10.1016/j.scitotenv.2020.139305 | |
| dc.relation.references | 2. Alvir, M., Ciglenečki, I., Jukić, A., Ljubić, I., & Pušić, T. (2022). One-way nested OpenFOAM–ROMS model for coastal flow and outfall evaluation. Ocean Engineering, 264, 112535. https://doi.org/10.1016/j.oceaneng.2022.112535 | |
| dc.relation.references | 3. Arroyave Gómez, D. M., Restrepo, J. D., Rendón, A. R., & Toro Botero, Á. F. (2021). Modelado biogeoquímico de una zona costera tropical con surgencia estacional e impactada por un emisario submarino sin tratamiento. Boletín de Contaminación Marina, 172, 112771. https://doi.org/10.1016/j.marpolbul.2021.112771 | |
| dc.relation.references | 4. Ataie-Ashtiani, B. (2007). MODSharp: Regional-scale numerical model for quantifying groundwater flux and contaminant discharge into the coastal zone. Environmental Modelling & Software, 22(9), 1307–1315. https://doi.org/10.1016/j.envsoft.2006.07.005 | |
| dc.relation.references | 5. Aquatic Ecosystem Model 3D. (s. f.). https://www.hydronumerics.com.au/software/aquatic-ecosystem-model-3d?utm_source | |
| dc.relation.references | 6. Bear, J., Cheng, A. H. D., Sorek, S., Ouazar, D., & Herrera, I. (1999). Seawater intrusion in coastal aquifers: Concepts, methods, and practices. Springer. | |
| dc.relation.references | 7. Birocchi, P., Calijuri, M. C., & Garcia, R. (2021). Study of three columns of submarine outfalls of domestic wastewater using numerical modeling in the São Sebastião Channel, São Paulo State, Brazil. Regional Studies in Marine Science, 42, 101647. https://doi.org/10.1016/j.rsma.2021.101647 | |
| dc.relation.references | Boehm, A. B., Paytan, A., Shellenbarger, G. G., & Davis, K. A. (2002). Oceanographic controls on the distribution of sewage-derived microorganisms in the coastal waters of southern California. Environmental Science & Technology, 36(24), 5163–5169 | |
| dc.relation.references | 9. Capone, D. G., & Hutchins, D. A. (2013). Microbial biogeochemistry of coastal upwelling regimes in a changing ocean. Nature Geoscience, 6(10), 711–717. https://doi.org/10.1038/ngeo1916 | |
| dc.relation.references | 10. Carpenter, S. R., Caraco, N. F., Correll, D. L., Howarth, R. W., Sharpley, A. N., & Smith, V. H. (1998). Nonpoint pollution of surface waters with phosphorus and nitrogen. Ecological Applications, 8(3), 559–568. | |
| dc.relation.references | 11. Chen, Y., Xiao, S., & Li, D. (2020). Flashover discharge model of transmission lines in subsea observation network. Simulation Modelling Practice and Theory, 103, 102094. https://doi.org/10.1016/j.simpat.2020.102094 | |
| dc.relation.references | Dallimore, C. J., & McAllister, F. A. (2022). Multi-year three-dimensional simulation of seasonal variation in water quality in a shallow, eutrophic lake using the AEM3D model. Science of the Total Environment, 803, 149902. https://doi.org/10.1016/j.scitotenv.2021.149902 | |
| dc.relation.references | 13. Deltares. (2023). Delft3D Flexible Mesh Suite: Integrated water modelling. https://www.deltares.nl/en/software/delft3d-flexible-mesh-suite | |
| dc.relation.references | 14. Deltares. (2022). Delft3D-FLOW User Manual. Deltares Systems. https://oss.deltares.nl/web/delft3d | |
| dc.relation.references | 15. De Capital Humano - Secretaría de Educación - Subsecretaría de Políticas Universitarias, A. I.-M. (s. f.). Invertebrados bentónicos como indicadores ambientales. Argentina Investiga. https://argentinainvestiga.edu.ar/noticia.php?titulo=invertebrados_bentnicos_como_indicadores_ambientales&id=2912 | |
| dc.relation.references | EPA. (2024). Visual Plumes: A software tool for modeling the dispersion of thermal discharges into water bodies. https://www.epa.gov/ceam/visual-plumes | |
| dc.relation.references | 17. FLOW-3D. (2022, enero 3). Particle Model | FLOW-3D | CFD Software | Lagrangian Particles. https://www.flow3d.com/modeling-capabilities/particle-model/ | |
| dc.relation.references | 18. Flow Science Inc. (2023). FLOW-3D User Manual. Flow Science, Inc. https://www.flow3d.com | |
| dc.relation.references | 19. Gao, G., Chen, C., & Beardsley, R. (2002). FVCOM User Manual: Finite Volume Coastal Ocean Model. University of Massachusetts Dartmouth. https://fvcom.smast.umassd.edu | |
| dc.relation.references | 20. Gasperi, J., Garnaud, S., Rocher, V., & Moilleron, R. (2010). Priority pollutants in wastewater and combined sewer overflow. Science of the Total Environment, 408(13), 2803–2812. https://doi.org/10.1016/j.scitotenv.2010.02.038 | |
| dc.relation.references | 21. García, J. (2013). Impacto de los vertimientos en la calidad del agua en la costa colombiana. Revista de Ciencias Ambientales, 5(2), 45–60. | |
| dc.relation.references | 22. Grant, S. B., Sanders, B. F., & Boehm, A. B. (2001). Generation of Enterococci bacteria in a coastal urban watershed and its transport to the ocean. Environmental Science & Technology, 35(12), 2401–2409 | |
| dc.relation.references | 23. Hipsey, M. R., Antenucci, J. P., & Brookes, J. D. (2012). A generic, process-based model of microbial pollution in aquatic systems. Environmental Modelling & Software, 27–28, 1–15. https://doi.org/10.1016/j.envsoft.2011.09.012 | |
| dc.relation.references | 24. Hodges, B. R. (2000). Pressure gradient errors and the hydrostatic assumption in the terrain-following coordinate ocean models. Ocean Modelling, 3(1–2), 73–94. https://doi.org/10.1016/S1463-5003(00)00011-3 | |
| dc.relation.references | 25. IDEAM. (2023). Modelación ambiental y gestión sostenible de los recursos naturales. Instituto de Hidrología, Meteorología y Estudios Ambientales. https://www.ideam.gov.co | |
| dc.relation.references | 26. Imbs, D., & Imbs, D. (2024, junio 30). ¿Sabes qué es el biofouling? IMBS. International Maritime Business School. https://www.imbs.edu.es/sabes-que-es-el-biofouling/ | |
| dc.relation.references | 27. Kim, B.-K., Hwang, J. H., & Kim, S.-K. (2023). Modelling microplastics discharged from a wastewater treatment plant into Marian Cove, West Antarctica. Marine Pollution Bulletin, 186, 114441. https://doi.org/10.1016/j.marpolbul.2022.114441 | |
| dc.relation.references | 28. Lamparelli, C. C., et al. (2016). State of the art of domestic sewage outfalls in the São Paulo State coast, Brazil. Brazilian Journal of Water Resources, 21(3), 572–584. https://doi.org/10.1590/2318-0331.011615048 | |
| dc.relation.references | 29. Lynch, D. R., Horne, J. K., & Houghton, R. W. (2010). Modeling the ocean: A guide to the use of numerical models in oceanography. Cambridge University Press | |
| dc.relation.references | Maric, T., Marschall, H., & Bothe, D. (2013). voFoam - A geometrical Volume of Fluid algorithm on arbitrary unstructured meshes with local dynamic adaptive mesh refinement using OpenFOAM. arXiv. https://arxiv.org/abs/1305.3417 | |
| dc.relation.references | 31. Mengying, S., Jingen, D., Chengyun, M., Bin, L., & Tie, G. (2023). Optimization of cuttings slurry system for re-injection of oil-based drilling cuttings. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects | |
| dc.relation.references | 32. Micella, I., Kroeze, C., Bak, M. P., & Strokal, M. (2024). Causes of coastal waters pollution with nutrients, chemicals and plastics worldwide. Marine Pollution Bulletin, 198, 115902. https://doi.org/10.1016/j.marpolbul.2023.115902 | |
| dc.relation.references | 33. MIKE 3 Flow Model. (s. f.). https://doc.mikepoweredbydhi.help/webhelp/2017/M3Nested/M3Nested/Cover/MIKE_3_Flow_Model.htm?utm_source | |
| dc.relation.references | Ministerio de Ambiente y Desarrollo Sostenible. (2019). Informe sobre el estado de las aguas en Colombia. [URL del documento] | |
| dc.relation.references | 35. Munar Samboní, A. M., Méndez Pedroza, N. M., & Valbuena Calderón, O. E. (2021). Modelación hidrodinámica y de calidad del agua en un ecosistema estuarino urbano con incidencia maregráfica y vertimientos de aguas residuales. Entramado, 17(1), 302–320. https://doi.org/10.18041/1900-3803/entramado.1.7285 | |
| dc.relation.references | 36. Muhammetoglu, A., Yalcin, O. B., & Ozcan, T. (2012). Prediction of wastewater dilution and indicator bacteria concentrations for marine outfall systems. Marine Environmental Research, 78, 53–63. https://doi.org/10.1016/j.marenvres.2012.04.005 | |
| dc.relation.references | 37. Palomar, P., Lara, J. L., Losada, I. J., Rodrigo, M., & Álvarez, A. (2012). Modelado de descarga de salmuera en campo cercano, parte 1: Análisis de herramientas comerciales. Desalinización, 290, 14–27. https://doi.org/10.1016/j.desal.2011.11.037 | |
| dc.relation.references | 38. Poncet, D. (2023). MIKE 3 Wave FM: A next-generation application to accurately simulate wave agitation in ports and terminals. DHI Group. https://www.dhigroup.com/technologies/mikepoweredbydhi/mike-3-wave-fm | |
| dc.relation.references | Programa de las Naciones Unidas para el Medio Ambiente (UNEP). (2016). Aguas residuales: un desafío global. [URL del documento] | |
| dc.relation.references | 40. Roberts, P. J. W. (1980). Ocean outfall design and simulation. Water Pollution Control Federation, 52(9), 2483–2495. | |
| dc.relation.references | 41. Shives, M. (2016). I need to summarize available coastal modeling codes like FVCOM, ROMS, MIKE21, MIKE3, Delft3D and maybe others. Please share your experiences? ResearchGate. https://www.researchgate.net/post/I-need-to-summarize-available-coastal-modeling-codes-like-FVCOM-ROMS-MIKE21-MIKE3-Delft3D-and-maybe-others-Please-share-your-experiences | |
| dc.relation.references | Teodoro, A. C., & Gonçalves, J. A. (2010). Emisarios submarinos: evaluación de la eficiencia e impactos ambientales. Revista Engenharia Sanitária e Ambiental, 15(2), 199–208. https://doi.org/10.1590/S1413-41522010000200012 | |
| dc.relation.references | 43. Tosic, M., Martins, F., Lonin, S., Izquierdo, A., & Restrepo, J. D. (2019). Hydrodynamic modelling of a polluted tropical bay: Assessment of anthropogenic impacts on freshwater runoff and estuarine water renewal. Journal of Environmental Management, 236, 695–714. https://doi.org/10.1016/j.jenvman.2019.01.104 | |
| dc.relation.references | 44. UNESCO. (2018). El estado de los recursos hídricos en el mundo. [URL del documento] | |
| dc.relation.references | 45. Van Sebille, E., Wilcox, C., Lebreton, L., Maximenko, N., Hardesty, B. D., Van Franeker, J. A., ... & Law, K. L. (2015). A global inventory of small floating plastic debris. Environmental Research Letters, 10(12), 124006. https://doi.org/10.1088/1748-9326/10/12/124006 | |
| dc.relation.references | 46. VOSviewer - Visualizing scientific landscapes. (2022). VOSviewer. https://www.vosviewer.com/ | |
| dc.relation.references | Wang, Y., Fang, Z., & Li, J. (2024). Development of generalized terrain-following FVCOM model for the simulation of hydrodynamic processes in complex coastal regions. Frontiers in Marine Science, 11, 1441840. https://doi.org/10.3389/fmars.2025.1441840 | |
| dc.relation.references | 48. Yang, B., Yin, K., Li, X., & Liu, Z. (2022). Graph model under grey and unknown preferences for resolving conflicts on discharging Fukushima nuclear wastewater into the ocean. Journal of Cleaner Production, 332, 130019. https://doi.org/10.1016/j.jclepro.2021.130019 | |
| dc.relation.references | Zhang, Y., & Liu, Y. (2024). Development of an OpenFOAM solver for coupled aero-hydrodynamic simulations of floating offshore wind turbines and aquaculture cages. Computers & Fluids, 252, 104753. https://doi.org/10.1016/j.compfluid.2025.104753 | |
| dc.relation.references | 50. Zamani, B., & Koch, M. (2020). Comparison between two hydrodynamic models in simulating physical processes of a reservoir with complex morphology: Maroon Reservoir. Water, 12(3), 814. https://doi.org/10.3390/w12030814 | |
| dc.rights | Attribution-NonCommercial-NoDerivs 2.5 Colombia | en |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
| dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | |
| dc.rights.local | Abierto (Texto Completo) | spa |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | |
| dc.subject.keyword | Wastewater | |
| dc.subject.keyword | Discharge | |
| dc.subject.keyword | Coasts | |
| dc.subject.keyword | Outfall | |
| dc.subject.keyword | Simulation | |
| dc.subject.lemb | Ingenieria Ambientales | |
| dc.subject.lemb | Modelación numérica | |
| dc.subject.lemb | Contaminación marina | |
| dc.subject.proposal | Aguas Residuales | |
| dc.subject.proposal | Vertimiento | |
| dc.subject.proposal | Costas | |
| dc.subject.proposal | Emisario | |
| dc.subject.proposal | Simulación | |
| dc.title | Modelacíon ambiental del vertimiento en cuerpos de agua marino | |
| dc.type | bachelor thesis | |
| dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
| dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | |
| dc.type.drive | info:eu-repo/semantics/bachelorThesis | |
| dc.type.local | Trabajo de Grado | spa |
| dc.type.version | info:eu-repo/semantics/acceptedVersion |
Archivos
Bloque original
1 - 1 de 1
Cargando...
- Nombre:
- 2025hudgsonmartha.pdf
- Tamaño:
- 1.13 MB
- Formato:
- Adobe Portable Document Format
Bloque de licencias
1 - 3 de 3
Cargando...
- Nombre:
- license.txt
- Tamaño:
- 807 B
- Formato:
- Item-specific license agreed upon to submission
- Descripción:
Cargando...
- Nombre:
- 2025cartadefacultad.pdf
- Tamaño:
- 543.19 KB
- Formato:
- Adobe Portable Document Format
- Descripción:
- Carta de facultad
Cargando...
- Nombre:
- 2025cartaderechodeautor.pdf
- Tamaño:
- 246.36 KB
- Formato:
- Adobe Portable Document Format
- Descripción:
- Carta derehos de autor

