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Numerical Modeling of Hydrodynamics in the Agua Brava Lagoon, Located in Nayarit, Mexico

Conference paper
Part of the Environmental Science and Engineering book series (ESE)

Abstract

In this paper a study of the hydrodynamics of the Agua Brava lagoon system is performed by numerical modeling. The importance of studying this lagoon system lies with aquaculture activities carried out by shrimp farms. The \( \pi \)-HYDRO model is used for the numerical simulations of hydrodynamics and temperature and salinity dispersion. The boundary conditions regarding ocean properties were generated with the HYCOM ocean model, whereas tides were calculated from the tidal predictions of the MAR V1.0. A hydrological study was also performed to calculate the freshwater contributions and take them into account in the numerical simulations. The scenarios analyzed are the dry and wet seasons particularly for 2013. For the case of the dry season, a slight influence of hydrological contributions to the dynamics of the lagoon is observed, where the effects of the tidal flow are predominant. For the wet scenario, the effects of both tidal and hydrological flow drive the motion within the lagoon, especially being predominant the hydrological flow due to the river discharges in the near region to the shrimp farms.

Keywords

Nayarit Shrimp Farming Hydrologic Flow Hydrological Contributions Lagoon System 
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References

  1. Barrios-Piña H, Ramírez-León H, Rodríguez-Cuevas C, Couder-Castañeda C (2014) Multilayer numerical modeling of flows through vegetation using a mixing-length turbulence model. Water 6:2084–2103CrossRefGoogle Scholar
  2. Casulli V (1990) Semi-implicit finite difference methods for the two-dimensional shallow water equations. J Comput Phys 86:56–74CrossRefGoogle Scholar
  3. Casulli V, Cheng R (1992) Semi-implicit finite difference methods for three-dimensional shallow water flow. Int J Numer Meth Fluids 15:629–648CrossRefGoogle Scholar
  4. CICESE (2015) Programa MAR V1.0. http://predmar.cicese.mx/programa/
  5. INEGI (1990) Clima y precipitación del estado de Nayarit. Instituto Nacional de Estadística, Geografía e Informática. MéxicoGoogle Scholar
  6. Instituto de Ciencias del Mar y Limnología (2011) Vulnerabilidad de las zonas costeras del Pacífico Mexicano (Sinaloa-Nayarit) ante el cambio climático. Programa de Investigación sobre el cambio climático. México D.FGoogle Scholar
  7. Ramírez-León H, Barrios-Piña H, Rodríguez-Cuevas C, Couder-Castañeda C (2005a) Baroclinic mathematical modeling of fresh water plumes in the interaction river-sea. Int J Numer Anal Model 2:1–14Google Scholar
  8. Ramírez-León H, Rodríguez-Cuevas C, Herrera Díaz E (2005b) Multilayer hydrodynamic model and their application to sediment transport in estuaries. In: Special issue Shanghai conference, current trends in high performance computing and its applications, pp 59–70. Springer, Berlin, GermanyGoogle Scholar
  9. Ramírez-León H, Couder-Castañeda C, Herrera-Díaz IE, Barrios-Piña H (2010) Modelación numérica de la descarga térmica de la Central Nucleoeléctrica de Laguna Verde. Rev Int Mét Num Cálc Dis Ing 15:185–211Google Scholar
  10. Rodríguez C, Serre E, Rey C, Ramírez H (2005) A numerical model for shallow-water flows: dynamics of the eddy shedding. Wseas Trans. Environ Dev 1:280–287Google Scholar
  11. Stansby PK (2003) A mixing-length model for shallow turbulent wakes. J Fluid Mech 495:369–384CrossRefGoogle Scholar
  12. UNESCO (1981) Background papers and supporting data on the international equation of state of seawater 1980. UNESCO Tech Pap Mar Sci 38:192Google Scholar

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© Springer International Publishing Switzerland 2016

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Authors and Affiliations

  1. 1.Tecnológico de MonterreyGuadalajaraMexico
  2. 2.Instituto Mexicano del PetróleoMexico CityMexico
  3. 3.DEPFI-UNAMMexico CityMexico
  4. 4.Faculty of Environmental SciencesUniversidad de la CostaBarranquillaColombia
  5. 5.Universidad Autónoma de NayaritTepicMexico

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