4.5 Article

An assessment of transport timescales and return coefficient in adjacent tropical estuaries

Journal

CONTINENTAL SHELF RESEARCH
Volume 124, Issue -, Pages 49-62

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.csr.2016.05.006

Keywords

Tropical estuary; Residence time; Exposure time; Return coefficient; Numerical model; Hydrodynamics

Categories

Funding

  1. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)
  2. Eurico Cabral de Oliveira [420219/2005-6]
  3. CNPq [LBM-302069/2004-6, CAFS-306217/2007-4, FH-203576/2014-4, ES-308303/2006-7]
  4. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) [FPA-3965/07-4]

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Transport timescales (TTS), namely residence time and exposure time, were computed for adjacent shallow meso-tidal tropical estuarines system using the Lagrangian model D-Waq Part coupled with the hydrodynamic model Delft3D-Flow, and the Constituent-oriented Age and Residence time Theory, CART. The main results are threefold: (a) The TTS differs more between releases at high or low tide than between those at spring and neap tides. The exposure time was also calculated and found to be larger than the residence time by a few days. (b) The exposure and residence times were used to evaluate the return coefficient (r) for different scenarios. As with residence and exposure times, the return coefficient was found to differ more between releases at high or low tide than between those at spring and neap tides. (c) For the Caravelas Estuary, where the river inflow was low (similar to 4 m(3) s(-1)), the residence time was found to be much larger than for the Peruipe Estuary, where the river discharge was greater and nearly constant during the sampling period (similar to 20 m(3) s(-1)). These results shows the importance of advection in decreasing TTS in the Peruipe Estuary compared to the Caravelas Estuary. The influence of the advection and dispersion agrees with previous simple estimates obtained using the newly modified Land Ocean Interaction Coastal Zone (LOICZ) model by Andutta et al. (2014). (C) 2016 Published by Elsevier Ltd.

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