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For example, Norwegian aquaculture production (mainly Atlantic salmon Salmo salar and rainbow trout Salmo trutta) increased from 5 × 10 t from 2003 to 2012 (Statistics Norway, no) and it has been suggested that by 2050 this production may be increased by a factor of 3–5 T (Olafsen et al., 2012).One of the main limiting factors for further growth of the mariculture sector is the availability of good locations (Hersoug, 2013).Exposed fish farms are often located near islands or skerries providing shelter from rough seas, but there is also great spatiotemporal variability of currents in fjords.In the present study farm locations with three different oceanographic characteristics were chosen: a fjord location, a semi-exposed location with moderate current speeds, and an exposed location with high current speeds and a dynamic environment.In Norway the number of concessions has decreased in recent years (Gullestad et al., 2011; Bannister et al., 2014).It is therefore likely that with the present cultivation technology the average production at each location will further increase, with an ensuing increase in the local release of particulate and dissolved organic matter leading to a potentially higher impact on the pelagic and benthic (Mazzola et al., 2000; Carroll et al., 2003; Kalantzi and Karakassis, 2006).In Norway, the impacts of mariculture on the benthic system are monitored through the MOM survey (Ervik et al., 1997; Hansen et al., 2001; Stigebrandt et al., 2004), which is specified in the Norwegian standard NS9410.This survey includes sampling of the sediment for p H, redox potential, sediment type, presence of gas bubbles, color, smell, consistency, and the presence of mud.
The patchy distribution of organic matter and the correspondence between simulation and survey results is attributed to the use of full 3D current fields of a high spatiotemporal resolution and a good model for resuspension processes that some previous model studies have failed to properly account for.
The correspondence between simulated and measured thickness of the sediment layer was good, and improved with the inclusion of resuspension processes.
At all sites the distribution of organic matter in the bottom layer was non-homogeneous, with significant temporal variation and transport and settling of matter up to at least 0.5 km away from one of the farms.
In the present study a dispersion model (DREAM) with high resolution 3D data from a hydrodynamic model (SINMOD) is applied to simulating the dispersion and sedimentation of particulate wastes from three fish farms in central Norway (Figures 1, 2).
There are two major current systems in this coastal area: the relatively fresh Norwegian Coastal Current (NCC) and the more saline Norwegian Atlantic Current (NAC) (Sætre, 2007).
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The three locations used in this study are location 1 (Tristeinen, red T, 63.87°N, 9.62°E), location 2 (Rataren, two cage arrays, red R, at 63.781°N, 8.517°E, and 63.783°N, 8.523°E) and location 3 (Korsneset, red K, 63.143°N, 8.225°E). doi: 10.3354/aei00108 Cross Ref Full Text | Google Scholar Broch OJ, Daae RL, Ellingsen IH, Nepstad R, Bendiksen EÅ, Reed JL and Senneset G (2017) Spatiotemporal Dispersal and Deposition of Fish Farm Wastes: A Model Study from Central Norway. No use, distribution or reproduction is permitted which does not comply with these terms.