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Windmill on the Great Lakes

I close a site that is located 7 miles East of Alpena, MI.

Landscape and visual impact: The site is on a peninsula and has trees on the waterfront that will help hide the windmills. The windmills can be tall enough to be productive without protruding too high above the tree tops. There are no residents within 3.5 miles of the site.

Shadow flicker: Since the site is elevated above the water and surrounded by trees, the passer-bys will only see a small bit of the rotating blades. The impact of shadow flicker is extremely low.

Noise: The impact of noise will not be a factor. The site is so secluded that noise could possibly impact boaters. The majority of boaters use powered boats versus sailboats and that will mitigate the impact of noise.

Shipping impact: I did a search on Google.com and there are plenty of windmill manufacturers on Lake Michigan and Lake Huron. So, the logistics of shipping the windmills will be easy since the site has water access.

Ornithology: According to the USGS, the Scarlet Tanager, Rose-Breasted Grosbeak, and American Redstart could possibly be affected since the location in within their migration routes. There are two ponds near the proposed site. However, they appear to be shallow and are a different color than other larger lakes further to the west that appear to more suitable for migrating birds.

Wind Speed: Michigan Department of Energy Labor, and Economic Growth shows that winds are at or above 11 mph for 30 meters in height. Which will be sufficient to power a  windmill.

Geodatabases

Process Summary for “GeoDatabases and Modeling Tools”

Deliverables:  4 Screenshots and Process Summary

·         Module 4 Exercise 2

1.      Followed steps in exercise. Open ArcCatalog

2.      Explore files Census.shp, County.shp, Fema.shp, CountyBoundary.shp, MajorRoads.shp, FireDepts.shp.

3.      Create a file geodatabase

4.      Import multiple feature classes into the geodatabase

5.      Import the Census Blocks feature class and exclude attributes

6.      Import the parcels and landuse feature classes into a new feature dataset

7.      Create a new Emergency Facilities feature class

8.      Load data into an empty feature class

9.      Import a table

10.  Copy an annotation feature class

11.  Import a raster dataset

12.  Create thumbnails

13.  Took screenshot

·         Module 7 Exercise 1

1.      Followed steps in exercise

2.      Opened Fireassessment.mxd

3.      Examined the workflow diagram

4.      Buffer Creeks: 200 meters

5.      Clip: Creeks_Buffer

6.      View Statistics of Creeks_Buffer_Clip

7.      Intersect FirePerimeter and Vegetation

8.      Determine total area burned for Day 1

9.      Adjust layer symbology: Transparent: 35

10.  Took screenshot of step 9c

·         Module 7 Exercise 2

1.      Followed steps in exercise

2.      Open Assessment2.mxd

3.      Review workflow diagram

4.      Create toolbox in ArcCatalog: Fire.gdb, named FireTools

5.      Create model in FireTools

6.      Rename model Assessment

7.      Add processto the model: Creeks, Output1, 200 meters

8.      Add second process to Assessment

9.      Run model

10.  Took screenshot of step 9

11.  Add Output1 and Output1_clip to map

·         Module 7 Exercise 3

1.      Followed steps in exercise

2.      Open Timber.mxd

3.      Review model

4.      Open model to edit

5.      Remane feature class to FinalC

6.      Run model

7.      Modify model: change FinalC to FinalD in the Clip tool

8.      Run model

9.      Select by attributes: FinalC and Final D layers whose N_Distance values AND S_Distance values are equal to 0

10.  Field Calculator: [ValuePerMeter]*[Shape_Area]/1000000

11.  Delete intermediate data

12.  Took screenshot of step 13

·         Lab Questions/Answers

None

Geocoding

Process Summary for “Geocoding with ArcGIS”

Deliverables:  Process Summary

·         Exercise: Geocode addresses from a table

1.      Followed steps in exercise

2.      Created new address locator for Redlands.gdb

3.      Opened GourmentMap.mxd, Save as: GourmentMap_ndpmxd

4.      Geocoade restaurant locations

·         Exercise: Find individual addresses

1.      Followed steps in exercise

2.      Use find tool to find ESRI Café, change symbol and color

3.      Use find tool with the Redlands address locator, find: 380 New York Street, Redlands, CA, and 92373

·         Exercise: Prepare address and reference data for geocoding

1.      Followed steps in exercise

2.      Opened Customers.mxd

3.      Create new field in the address table: ADDRESS

4.      Concatenate address fields: used field calculator in an edit session

5.      Examine reference data

6.      Standardize reference data

7.      Examine standardized reference data

·         Exercise: Geocode and rematch addresses

1.      Followed steps in exercise

2.      Create

3.      Prepare map for geocoding: Atlanta.gdb

4.      Geocode customer addresses: AtlantaCustomers

5.      Examine geocoded features

6.      Rematch automatically: Min match score: 60

7.      Review unmatched addresses

8.      Summarize street names

9.      Perform wild card searches: “ADDR_SN” LIKE ‘%ARG%’and “ADDR_SN” LIKE ‘%FRA%’

10.  Match unmatched addresses interactively

11.  Rematch addresses with a low score

12.  Rematch addresses with candidates tied

Process Summary for “Raw Data and Tables”

Deliverables:  1 Map and Process Summary

·         Gulf_ndp

1.      Followed Steps in Lab: Raw Data and Tables

2.      Added Gulf_Pin.shp

3.      Joined NAL33F200901.csv with Gulf_Pin.shp

4.      Exported data and created a new shapefile: Gulf_Pin_Export.shp

5.      Summarize the Sum of acreage

6.      Select by attributes the top four land owners: St Joseph Land and Dev Co, TIITF, Northwest Florida Water, WIMICO

7.      Created layer from selection

8.      Added legend: Size, position, style

9.      Layers Selected: Gulf_Pin and Gulf_Pin_Selection

10.  Add Title: Top Four Land Owners in Gulf County, FL (Size, Position, Style)

11.  Add North  Arrow (Size, Position, Style)

12.  Add Scale Text: Size, Position, Units Miles

13.  Add Name and Date: Nick Peloquin 05 Apr 2011, Position, Font

14.  Add Data Source: Florida Department of Revenue

15.  Save as: H:\Working Projects\Data Accuracy\Gulf_ndp.mxd

16.  Export Map Document:  H:\Finished Products\Geocoding\Gulf_ndp.jpg

·         Lab Questions/Answers

N\A