2020
DOI: 10.1016/j.marpolbul.2020.111685
|View full text |Cite
|
Sign up to set email alerts
|

Simulating particle organic matter dispersal beneath Atlantic salmon fish farms using different resuspension approaches

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
14
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 15 publications
(14 citation statements)
references
References 52 publications
0
14
0
Order By: Relevance
“…Atmospheric forcing was provided by the Meteorological Co-operation on Operational Numerical Weather Prediction (AROME-MetCoOp;Mu ¨ller et al, 2017), tidal forcing was imposed based on the global inverse barotropic model of ocean tides (TPXO7.2; Egbert and Erofeeva, 2002), and river runoff was incorporated using daily discharge data provided by the Norwegian Water Resources and Energy Directorate. The model performance has been evaluated in detail by Dalsøren et al (2020), and the model has been applied in various biophysical studies in Norwegian fjords (e.g., Skarðhamar et al, 2018;Myksvoll et al, 2020;Carvajalino-Ferna ´ndez et al, 2020). In Kaldfjorden, the model simulation was evaluated against hydrographic observations (temperature and salinity) taken monthly at three cross-fjord transects (Jones et al, 2020) and against current observations from two bottom-moored, upward-looking ADCP that were deployed about 3.7 km north and 1.5 km south of KaF, respectively; Blom, 2021).…”
Section: Hydrographic Model Datamentioning
confidence: 99%
“…Atmospheric forcing was provided by the Meteorological Co-operation on Operational Numerical Weather Prediction (AROME-MetCoOp;Mu ¨ller et al, 2017), tidal forcing was imposed based on the global inverse barotropic model of ocean tides (TPXO7.2; Egbert and Erofeeva, 2002), and river runoff was incorporated using daily discharge data provided by the Norwegian Water Resources and Energy Directorate. The model performance has been evaluated in detail by Dalsøren et al (2020), and the model has been applied in various biophysical studies in Norwegian fjords (e.g., Skarðhamar et al, 2018;Myksvoll et al, 2020;Carvajalino-Ferna ´ndez et al, 2020). In Kaldfjorden, the model simulation was evaluated against hydrographic observations (temperature and salinity) taken monthly at three cross-fjord transects (Jones et al, 2020) and against current observations from two bottom-moored, upward-looking ADCP that were deployed about 3.7 km north and 1.5 km south of KaF, respectively; Blom, 2021).…”
Section: Hydrographic Model Datamentioning
confidence: 99%
“…The model has been shown to realistically reproduce hydrography and currents in the Alta Fjord and other Norwegian fjords and coastal areas, with typical accuracy within one unit of both salinity and temperature in the surface layer (Skarðhamar et al, 2018;Asplin et al, 2020;Dalsøren et al, 2020). Further model details and examples of recent applications can be found in Skarðhamar et al (2018Skarðhamar et al ( , 2019, Carvajalino-Fernández et al (2020), Dalsøren et al (2020), andMyksvoll et al (2020).…”
Section: Hydrodynamic Modellingmentioning
confidence: 99%
“…There is evidence that the bottom type may impact on the resuspension (Carvajalino-Fernández et al, 2020), though we have not explicitly taken this into consideration here. The effects of resuspension are probably not underestimated since we have used a critical shear velocity for resuspension very close to the parameter used by Kuhrts et al (2004) for the "fluff " layer of fine matter.…”
Section: Sinking Speeds and Transportmentioning
confidence: 99%