Part 1
The purpose of this part of the lab is to
delineate the watersheds in the Adirondack Park in northeastern New York.
Watersheds represent the area of land that all surface water is connected.
Delineating these such watersheds allows for watershed managers to better monitor
the quality and the quantity of water found within them. For the purpose of
this lab the Adirondack shapefile was downloaded from the New York State GIS
Clearinghouse (http://gis.ny.gov). The hydrology data was acquired from the Cornell University
Geospatial Information Repository (http://cugir.mannlib.cornell.edu/index.jsp). The DEM was retrieved from ArcGIS Online.
Once the data was brought into ArcMap, the data
needed to be preprocessed. All the data was placed into the Universal
Transverse Mercator (UTM) Zone 18N NAD 1983 projected coordinate system. To
begin, a 20 kilometer buffer the Adirondack boundary so that DEM could be
processed more smoothly. Then the hydrology layer was clipped by the
Adirondack shapefile, leaving only the hydrology in the park. Next, the DEM
was clipped by the buffered Adirondack boundary.
Once all the preprocessing was completed, the
watershed delineation process could be started. This was done in a series of
steps. To begin, the a flow direction raster was created and the sinks were
then filled (sinks disrupt the flow of water and therefore would negatively
effect the waterflow modeling). Once the sinks were filled, another flow
direction model was created a flow accumulation raster was created, leaving
small stream channels. These small channels were then given a threshold of
50,000 cells. Then the streams were then connected so that the watersheds could
then delineated (Figure. 1).
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(Figure. 1) Adirondack Watershed Map |
Part 2
The second part
of this lab was to use model bluespots (depressions prone to flooding because
of a lack drainage) in the Denmark City of Copenhagen. Due to extreme rainfall
events such as cloudbursts, the city has experienced large amounts of flood damage
as a result. To identify areas in danger of flooding a model was run (Figure.
2) that identified bluespots and then intersected them with buildings (Figure.
3). After running the first model, a second model was run. This second model
not only located bluespots but calculated the volume of these spots so that the
bluspots can be ranked by their susceptibility for flooding (Figure. 4).
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(Figure. 2) Model used to find bluespots and intersect them with buildings |
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(Figure 3) The map above shows bluespots and the buildings that are in contact with them |
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(Figure. 4)The Map above shows buildings that are touching bluespots as well as showing the drainage capacity of the bluespots |
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The map above shows the buildings that are at most risk of flooding in Genofte |
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The map above displays the relationship between watershed area and the bluespots found within them |
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The map above shows roads and rail ways that are least likely to be affected by flooding |
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