Impact of Wind Turbines
Introduction
Task 1: Project Planning
Task 2: Landscape: evaluation
Task 3: visual impact methods
Task 4: Tools for visual impact assessments
Task 5: Recommendations
General context for windfarm provision
General Discussion and Conclusions
Acknowledgements
References
Acronyms
Appendix
Contract Details
 

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It is no longer being updated but we've left it here for reference.

Further information

 

Countryside Council for Wales Wind Farm Project: Project Planning Document - Pgis_1

ORGANISATION AND CONTACT INFORMATION

I. Name: David Miller

II. Organisation: Maculay Land Use Research Institute.

III. Address: Craigiebuckler, Aberdeen, AB15 8QH.

IV. E-mail address: d.miller@macaulay.ac.uk

MODELS USED FOR DATA ANALYSIS

II. Model Name: geographic dataset compilation

III. Source of Model: Various

IV. Computer Language that the model is developed in:- Various

V. Hardware needed to run model: PC, Unix worktation

VI. Data Inputs needed by model:

A. Ordnance Survey Digital Elevation Models - 1:10 000, 1:50 000

B. Landsat Thematic Mapper

C. Wind turbine locations - Wales (from CCW)

D. Wind turbine locations - Scotland (Aberdeenshire Council and MLURI)

VII. Model outputs

A. Tables/Statisics

1. Listing of datasets used in project by area and scale

B. Maps / GIS datalayers / 3D models / photographs

1. Location maps of each area

2. Scotland:

i) DEM - 1:50 000

ii) DEM - 1:10 000

iii) wind turbine coverage (2 scenarios)

iv) road network (1:25 000)

v) land cover (1:25 000)

vi) tree canopy heights linked to land cover

3. Wales:

i) DEM - 1:50 000

ii) wind turbine coverage (2 scenarios)

iii) road network (1:50 000)

C. World Wide Web pages

1. Snapshot views of each dataset, grouped by area, scale and subject

2. Location maps of each study area

VIII. Accuracy/Sources of Uncertainty/Method of Handling

A. Error in DEMs (fromPERR_1)

B. Positional error of turbine locations

C. Positional error of road locations

D. Positional error in land cover and tree heights

IX. Existing linkages between data (eg in databases) and software (eg databases/GIS/Statistical packages)

A. Land cover attributes linked to LCS88

X. GIS Software used

A. Arc-Info (version 7), ArcView (version 2)

B. Erdas Imagine (version 8)

C. SPANS/TYDIG (digitizing road network and land covr data)

XI. Modelling Software used

A. None

XII. Database Software used

A. Info

B. Microsoft Access

XIII. Any other comments

The geographic datasets are compiled from various sources and will b brought together into a single format for most analysis and subsequent data transfer: Arc/info and th associated package ArcView.

Updated: 23 January 2024