Scottish Marine and Freshwater Science Report Volume 2 Number 13
This report describes the process employed by Marine Scotland to identify strategic search areas for future commercial scale offshore wind developments in Scottish Territorial Waters (STW). It also presents the first discussion of the development potential outside STW out to 200 nm
Structures of the Models Used
As described in the documentation supporting The Draft Plan and associated Strategic Environmental Assessment (Scottish Government, 2010a, b), and as is normal in the use of MaRS, the data layers had been classified as either exclusion layers ( i.e. indicating areas where development was not appropriate), or constraint layers ( i.e. indicating the distribution of factors that acted as partial constraints on development). The constraint layers were each allocated a weighting. Within each constraint layer, the data had been assessed through a scoring scheme. The constraint layers were allocated either to a Technical Model or to a Constraints Models. The Constraints model was comprised of the outputs from three thematic Restriction models, covering constraints arising from industrial activity, environmental factors, and heritage interests. The heritage layer is broad in its scope, covering visual and recreational factors as well as historical heritage and archaeological potential. The outputs of these models had been normalised against the Exclusion model.
The data layers which were included in the various models were as follows:
3.1 Heritage Restriction Model
Data layer | Weight | Maximum score | Potential relative influence |
---|---|---|---|
National scenic areas | 900 | 90 | 81000 |
Royal Yachting Association cruising routes | 300 | 30 | 9000 |
Royal Yachting Association racing areas | 300 | 30 | 9000 |
Royal Yachting Association sailing areas | 300 | 30 | 9000 |
Scheduled Ancient Monuments | 800 | 80 | 64000 |
Bathing beaches | 500 | 50 | 25000 |
World Heritage sites | 1000 | 100 | 100000 |
Wrecks | 700 | 70 | 49000 |
Protected wrecks | 700 | 70 | 49000 |
Potential for marine archaeological remains | 700 | 70 | 49000 |
3.2 Environmental Restriction Model
Data layer | Weight | Maximum score | Potential relative influence |
---|---|---|---|
Bird reserves | 800 | 80 | 64000 |
Important Bird Areas | 500 | 50 | 25000 |
Local nature reserves | 800 | 80 | 64000 |
Special Areas of Conservation | 1000 | 100 | 100000 |
Special Protection Areas | 1000 | 100 | 100000 |
Sites of Special Scientific Interest | 1000 | 100 | 100000 |
Offshore candidate SACs and SPAs | 1000 | 100 | 100000 |
Offshore draft SACs and SPAs | 1000 | 100 | 100000 |
Offshore possible SACs and SPAs | 1000 | 100 | 100000 |
RAMSAR sites | 1000 | 100 | 100000 |
Nursery areas for commercial fish species | 400 | 73 | 29200 |
Spawning areas for commercial fish species | 400 | 73 | 29200 |
Areas of search for potential Marine Protected areas | 400 | 40 | 16000 |
Areas of seabird aggregation | 400 | 80 | 32000 |
Areas of importance to vulnerable sea birds | 1000 | 182 | 182000 |
Areas of importance to marine mammals | 900 | 164 | 147600 |
3.3 Industry Restriction Model
Data layer | Weight | Maximum score | Potential relative influence |
---|---|---|---|
Offshore cables in UK waters (not active | 500 | 100 | 50000 |
Pipelines in UK waters (not active) | 500 | 100 | 50000 |
Potential gas and CO 2 storage sites | 800 | 80 | 64000 |
Carbon capture and gas storage infrastructure | 800 | 80 | 64000 |
Civil Aviation Aerodrome Buffers | 800 | 80 | 64000 |
Civil Radar Interference (at 140 m above mean sea level) | 600 | 100 | 60000 |
Royal Air Force Airfields and Stations Buffer (24 km | 800 | 80 | 64000 |
Current Licensed Areas for Hydrocarbons | 700 | 70 | 49000 |
Oil fields | 400 | 40 | 16000 |
Closed waste disposal sites | 700 | 70 | 49000 |
Helicopter main routes | 600 | 100 | 60000 |
Military low flying areas | 700 | 70 | 49000 |
Military Practice and Exercise Areas | 1000 | 180 | 180000 |
Shipping density | 1000 | 182 | 182000 |
Areas identified with potential for tidal power development | 800 | 80 | 64000 |
Areas identified with potential for wave power development | 800 | 80 | 64000 |
Commercial fisheries landings from mobile gear in inshore waters | 1000 | 182 | 182000 |
Commercial fisheries landings from static gear in inshore waters | 600 | 109 | 65400 |
Commercial landings from fishing vessels >15m using mobile gears | 1000 | 182 | 182000 |
Commercial landings from fishing vessels >15m using static gears | 600 | 109 | 65400 |
3.4 Exclusion Model
The following features were treated as incompatible with wind farm development, i.e. areas covered were used to create an overall special model of areas from which wind farms should be excluded at this time.
All Offshore Cable inside UK Waters
All Pipeline in UK Waters
Anchorage Areas
Aquaculture Leases - Current
Aquaculture Leases - Pending
Waste disposal sites (open)
IMO Routeing - excluding ABTAs
Munitions Dumps
Offshore Shipping Zones
Offshore Wind Farm Demonstration Sites
Operational Anemometers in UK Waters
Protected Wreck Exclusion Buffers
Round 1 Offshore Wind Farm Sites
Areas identified under Saltire Prize process as having high potential for tidal power
Areas identified under Saltire Prize process as having high potential for wave power
Shipping Density - Exclusion Areas
Tidal Leases - Live
UK Deal oil and gas Safety Zones
UK Deal oil and gas Surface features
UK Deal oil and gas Subsurface features
UKCS Exclusion Buffer - 500 m
Wave Leases - Live
UK Detailed Coastline - not including Isle of Man (Polygon)
3.5 Technical Model
Data layer | Weight | Maximum score | Potential relative influence |
---|---|---|---|
Available wind resource | 1000 | 182 | 182000 (positive) |
Distance from the coast | 300 | 100 | 30000 (negative) |
Mean wave height | 400 | 100 | 40000 (negative) |
The outputs from the restriction models, after normalisation against the exclusion model, should be viewed in the context of technical opportunities and constraints of the areas under consideration. A simple Technical model, as above, was developed that combined the benefits of increased mean wind speed with the increasing difficulties in construction and operation with distance offshore and mean wave height. A further significant technical constraint is the depth of water. This is taken into account in section 5.6 of the report, primarily in relation to areas outside STW.
3.6 Improvements to the Previous Spatial Modelling
The Sensitivity Study noted various areas in which improvements could be made to the data layers available for use in MaRS. The main improvements made during the current exercise were:
- Landscape and visual issues: Develop a buffering system around national scenic areas ( NSA) to reflect the decreasing visibility of wind turbines with distance from the NSA boundaries.
- Commercial fishing: To separate landings from >15m vessels ( i.e. those covered by the Vessel Monitoring System) using mobile gears from those using static gears. The latter may be less vulnerable to the development of wind farms than the former.
- Commercial fishing: To identify landings from smaller vessel operating within STW, and to partition these between internal waters, 0 - 6 miles, 6 - 12 miles, and landings from greater distances within ICES statistical rectangles that also include areas within STW. Areas. To separately identify landings from mobile and static gears.
- Potential for archaeological heritage remains on the seabed: Maps indicating areas of the current seabed which had been exposed as land at some time since the Ice Age (and had high potential and theoretically high potential for marine archaeology) were combined with maps of seabed sediment type and structure to identify areas of seabed where potential for archaeological remains coincided with favourable seabed conditions.
- Sensitivity of areas to seabirds: An initial approach was made to developing an index of the relative sensitivity of sea areas for vulnerable seabirds. Attention was paid to collision risk during the breeding season. Mapped data on the distribution of 17 species of sea birds at sea during the breeding season (European Seabirds at Sea survey, JNCC) were expressed in terms of the total Scottish population of each species. These distributions were scaled according to the typical proportion of birds flying at typical turbine heights, and then combined to give an overall expression of the relative sensitivity of sea areas.
- Sensitivity of areas to marine mammals: Data from the JNCC cetacean atlas of the distribution of marine mammals at sea were scaled to the Scottish populations of each species and then summed to express the overall importance of sea areas to marine mammals.
- Spawning and nursery areas: Maps derived from Coull et al, 1999 showing areas of spawning and nursery grounds for 14 commercial fish and shellfish species were gridded and combined to show counts of spawning species or nursery ground species within each grid cell. The resulting layers were scored and weighted.
- Designated areas for the protection of birds: There are a number of different designations for marine or coastal areas for the protection of birds, including RAMSAR sites, SPAs, SSSIs, RSPB reserves, local reserves, IBAs etc. In many cases, areas hold more than one designation, and treating each form of designation independently (as has been done previously) resulted in potentially multiple counts of the same area for the same environmental sensitivity (birds). The data were therefore processed such that only the most important designation of any particular area was included in the final data layers, for example an area designated at European, national and local levels would be considered as designated at European level, whereas an area designated at local level only would be scored as a local designation.
Of the suggestions made in the Sensitivity Analysis report for improvements to underlying data, almost all were achieved. Exceptions were:
a) that SACs were not filtered for sensitivity to wind farm developments. This will have little impact on the outputs, as most designated SACs are coastal, and the models took into account the current search areas for offshore SACs.
b) the distribution of SNH Priority Marine Features was not taken into account. A significant amount of work will be necessary to convert the available information on the distributions of PMFs into a form suitable for inclusion in spatial modelling.
All the suggestions for alterations to the scoring and weighting systems were implemented.
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