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MGCC: Mytilus galloprovincialis carrying capacity model POC, Ammonia NAMEMG-IBM (M. galloprovincialis (M. galloprovincialis growth model) HYDRODYNAMIC.

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Presentation on theme: "MGCC: Mytilus galloprovincialis carrying capacity model POC, Ammonia NAMEMG-IBM (M. galloprovincialis (M. galloprovincialis growth model) HYDRODYNAMIC."— Presentation transcript:

1 MGCC: Mytilus galloprovincialis carrying capacity model POC, Ammonia NAMEMG-IBM (M. galloprovincialis (M. galloprovincialis growth model) HYDRODYNAMIC MODEL OF THE ADRIATIC SEA Water temperature Chl-a POC STATE VAR. NitrateAmmoniaSilicatePhosphateDOCPOCPhytoplanktonZooplankton Current velocities Local, scale A regional, scale B Solar radiation STATE VAR. Somatic and gonadic dry weight CURRENT METER DATA NAMETRANSP (transport sub-model) +PELADRI (reaction sub-model) ** Model development in collaboration with the University of Hamburg (D) and IIASA (A). Model testing in collaboration with ICRAM-Chioggia and NIB (partner 4).

2 2. Mussel growth: trajectories at different locations within the mussel farm MGCC: preliminary run at scale A 1.Study site: DCF-UNIVE WP5 site Adriatic sea 12 months simulation 3. Mussel dry weight [g] at six different locations within the mussel farm (after 1 yr of cultivation) 4. phytoplankton density [mg C L -1 ] at the farm site – local depletion

3 WATER COLUMN EDM: Early diagenesis model (developed under BRNS TM ) Sediment temperature SEDIMENT Deposition model (DEPOMOD TM ) Faeces production Organic carbon flux MG-IBM: Mytilus galloprovincialis growth model Nutrient fluxes, N, P DEPOMOD + EDM (Early Diagenesis) models Local, scale A Current velocities HYDRODYNAMIC MODEL OF THE ADRIATIC SEA CURRENT METER DATA ** Model development in collaboration with partner 1, SAMS, and the University of Utrecht (NL).

4 3. Diagenetic model output: profiles of the state variables in the sediment. __ reference simulation, _ _ impact scenario 2. Results of the MERAMOD particle tracking model: predicted OC flux at the sediment-water interface. DEPOMOD + EDM: application to longline mussel farm 1. Study site: DCF UNIVE WP5 site (Adriatic sea) long-term impact simulation (15 yr)

5 2. EDM model calibration: profiles of the state variables in the sediment at the reference station (BRef). __ model. data 3. Results of the DEPOMOD particle tracking / resuspension model: predicted OC flux at the sediment-water interface. DEPOMOD + EDM: application to salmon cages 1. Study site: SAMS WP5 site (Loch Creran) short-term impact simulation (6 months) 4. Model validation: profiles of the state variables in the sediment at the impacted station (BW10). __ model. data ** In collaboration with partner 1, SAMS and COBO EU project


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