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HR3DHG version 1: Modeling the spatiotemporal dynamics of mercury in the Augusta Bay (southern Italy)

Academic Article
Publication Date:
2020
abstract:
The biogeochemical dynamics of Hg, and specifically of its three species Hg, Hg, and MeHg (elemental, inorganic, and organic, respectively), in the marine coastal area of Augusta Bay (southern Italy) have been explored by the high-resolution 3D Hg (HR3DHG) model, namely an advection diffusion reaction model for dissolved mercury in the seawater compartment coupled with a diffusion reaction model for dissolved mercury in the pore water of sediments in which the desorption process for the sediment total mercury is taken into account. The spatiotemporal variability of the mercury concentration in both seawater ([Hg]) and the first layers of bottom sediments ([Hg] and [Hg]), as well as the Hg fluxes at the boundaries of the 3D model domain, have been theoretically reproduced, showing acceptable agreement with the experimental data collected in multiple field observations during six different oceanographic cruises. Also, the spatiotemporal dynamics of the total mercury concentration in seawater have been obtained by using both model results and field observations. The mass balance of the total Hg species in seawater has been calculated for the Augusta Harbour, improving previous estimations. The HR3DHG model could be used as an effective tool to predict the spatiotemporal distributions of dissolved and total mercury concentrations, while contributing to better assessing hazards for the environment and therefore for human health in highly polluted areas.
Iris type:
01.01 Articolo in rivista
Keywords:
Hg; Numerical Modeling; Biogeochemical Cycles
List of contributors:
Denaro, Giovanni; DE GAETANO, Andrea; Sprovieri, Mario; Cucco, Andrea; SALVAGIO MANTA, Daniela; Borri, Alessandro; Quinci, ENZA MARIA; Bonsignore, Maria
Authors of the University:
BONSIGNORE MARIA
BORRI ALESSANDRO
CUCCO ANDREA
DE GAETANO ANDREA
QUINCI ENZA MARIA
SALVAGIO MANTA DANIELA
SPROVIERI MARIO
Handle:
https://iris.cnr.it/handle/20.500.14243/409251
Published in:
GEOSCIENTIFIC MODEL DEVELOPMENT (PRINT)
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