3D Modeling of Water Quality Transport Processes with Time and Space Varying Diffusivity Tensors

Dejak, C.; Pastres, Roberto; Polenghi, I.; Solidoro, Cosimo; Pecenik, Giovanni

doi:10.1029/ce054p0645

Cited by 8 publications

(12 citation statements)

References 26 publications

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“…Then, since equation (A2a) describes appropriately the transport processes in the local reference systems x 0 , y 0 relative to each grid point, a proper rotation is applied to each tensor, in order to describe diffusion from all points in a common reference system x À y [Dejak et al, 1998;Pastres et al, 2001]. The horizontal and vertical diffusion have different time and spatial scales and are therefore treated separately.…”

Section: A2 Transport Modelmentioning

confidence: 99%

“…8000 m 3 /s [Gačić et al, 2005]. The Lagoon physics is driven by tidal and turbulent mixing [Dejak et al, 1998] and is strongly influenced by external forcing from ocean inlets, river discharges and atmospheric forcing [Lasserre and Marzollo, 2000;Solidoro et al, 2004;Collavini et al, 2005]. Biologically, the Lagoon is a highly productive system, mainly dominated by spring and summer blooms of diatoms species [Bandelj et al, 2008;Facca et al, 2002].…”

Section: Motivationmentioning

confidence: 99%

“…Since the residual currents are here almost everywhere very small [Dejak et al, 1998], most of their effects can be neglected. Transport processes are thus described by means of a turbulent diffusion module and residual advection is not explicitly taken into account.…”

Section: A2 Transport Modelmentioning

confidence: 99%

“…However, diffusion processes are no longer isotropic and homogeneous. They are parameterized at each grid points [Dejak et al, 1998;Pastres et al, 2001]. The turbulent diffusivity coefficients K h in equation (A1) are replaced by a diagonal tensor, which relates the fluxes of matter F to the gradients of the concentration along the main direction of dispersion (x 0 ) and its orthogonal one (y 0 ), as written next in equation (A2a)…”

Section: A2 Transport Modelmentioning

confidence: 99%

See 3 more Smart Citations

Lagoon of Venice ecosystem: Seasonal dynamics and environmental guidance with uncertainty analyses and error subspace data assimilation

Cossarini¹,

Lermusiaux²,

Solidoro³

2009

J. Geophys. Res.

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[1] An ensemble data assimilation scheme, Error Subspace Statistical Estimation (ESSE), is utilized to investigate the seasonal ecosystem dynamics of the Lagoon of Venice and provide guidance on the monitoring and management of the Lagoon, combining a rich data set with a physical-biogeochemical numerical estuary-coastal model. Novel stochastic ecosystem modeling components are developed to represent prior uncertainties in the Lagoon dynamics model, measurement model, and boundary forcing by rivers, open-sea inlets, and industrial discharges. The formulation and parameters of these additive and multiplicative stochastic error models are optimized based on data-model forecast misfits. The sensitivity to initial and boundary conditions is quantified and analyzed. Half-decay characteristic times are estimated for key ecosystem variables, and their spatial and temporal variability are studied. General results of our uncertainty analyses are that boundary forcing and internal mixing have a significant control on the Lagoon dynamics and that data assimilation is needed to reduce prior uncertainties. The error models are used in the ESSE scheme for ensemble uncertainty predictions and data assimilation, and an optimal ensemble dimension is estimated. Overall, higher prior uncertainties are predicted in the central and northern regions of the Lagoon. On the basis of the dominant singular vectors of the ESSE ensemble, the two major northern rivers are the biggest sources of dissolved inorganic nitrogen (DIN) uncertainty in the Lagoon. Other boundary sources such as the southern rivers and industrial discharges can dominate uncertainty modes on certain months. For dissolved inorganic phosphorus (DIP) and phytoplankton, dominant modes are also linked to external boundaries, but internal dynamics effects are more significant than those for DIN. Our posterior estimates of the seasonal biogeochemical fields and of their uncertainties in 2001 cover the whole Lagoon. They provide the means to describe the ecosystem and guide local environmental policies. Specifically, our findings and results based on these fields include the temporal and spatial variability of nutrient and plankton gradients in the Lagoon; dynamical connections among ecosystem fields and their variability; strengths, gradients and mechanisms of the plankton blooms in late spring, summer, and fall; reductions of uncertainties by data assimilation and thus a quantification of data impacts and data needs; and, finally, an assessment of the water quality in the Lagoon in light of the local environmental legislation.

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Section: A2 Transport Modelmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

Section: A2 Transport Modelmentioning

confidence: 99%

Section: A2 Transport Modelmentioning

confidence: 99%

See 2 more Smart Citations

Lagoon of Venice ecosystem: Seasonal dynamics and environmental guidance with uncertainty analyses and error subspace data assimilation

Cossarini¹,

Lermusiaux²,

Solidoro³

2009

J. Geophys. Res.

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“…The model uses a finite difference scheme, and the lagoon is discretised into a regular horizontal grid of 300 × 300 m and a variable number of vertical layers. Transport processes are described by a simplified version of the advection-diffusion equation, which is suitable for simulating processes occurring at time scales longer than tidal cycles (Dejak et al 1998) and reduces computational cost to acceptable values, even for multi-decadal runs. The set of biogeochemical state variables includes phytoplankton, zooplankton, nitrate, ammonia, phosphate, nutrient content in detritus and upper sediments, and dissolved oxygen.…”

Section: Modelsmentioning

confidence: 99%

Effect of global change on bivalve rearing activity and the need for adaptive management

Canu¹,

Solidoro²,

Cossarini³

et al. 2010

Clim. Res.

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A downscaling experiment linking a regional atmospheric model to local ecosystem and target species population dynamics models was conducted to evaluate the effects of IPCC climate change scenarios on a temperate coastal lagoon ecosystem, the lagoon of Venice (Italy), along with goods and services provided by this ecosystem. Our results indicate that the changes in water temperature and reduction in plankton productivity caused by the modification of seasonal precipitation patterns will affect habitat suitability for clam growth and aquaculture. Simulations show that aquaculture, which has substantial economic value, will suffer, and they highlight the need for management policies to mitigate the adverse effects of climate change. Extrapolation of these conclusions to other coastal systems might be particularly relevant for socio-economic systems in which clam farming is crucial for a self-sustaining economy.

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Assessing glyphosate in water, marine particulate matter, and sediments in the Lagoon of Venice

Feltracco

Barbaro

Morabito

et al. 2021

Environ Sci Pollut Res

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Lagoon water, suspended particulate matter, and sediment samples from seven sites at Lagoon of Venice were collected from 2019 to 2021 in order to study the presence of the herbicide glyphosate (N-(phosphonomethyl)glycine), among the most widely used agricultural chemicals worldwide, but its occurrence in lagoon water environment has not been deeply investigated. The sites were selected considering a supposed diversity of inputs and of pollution levels. An analytical method based on ion chromatography coupled with tandem mass spectrometry was optimized and validated for lagoon water, marine particulate matter, and sediment samples. Maximum concentrations of glyphosate were 260 and 7 ng L−1 for lagoon water and suspended particulate matter, respectively, and 15 ng g−1 for sediment, with some spatial and temporal fluctuations. Our results demonstrate that glyphosate content in the Venice Lagoon mainly depends on external forcing from river inlets and agricultural lagoon activities.

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3D Modeling of Water Quality Transport Processes with Time and Space Varying Diffusivity Tensors

Cited by 8 publications

References 26 publications

Lagoon of Venice ecosystem: Seasonal dynamics and environmental guidance with uncertainty analyses and error subspace data assimilation

Lagoon of Venice ecosystem: Seasonal dynamics and environmental guidance with uncertainty analyses and error subspace data assimilation

Effect of global change on bivalve rearing activity and the need for adaptive management

Assessing glyphosate in water, marine particulate matter, and sediments in the Lagoon of Venice

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