Cellular Automata &

Surface Flow Analysis

Brendan Duffy

Background

• In 2012 the Facilities Management department at the University of Utah began a several-year project aimed at capturing and storing storm drain water on campus.

• The purpose of the project is to reduce the costs incurred from Salt Lake City for the removal and processing of storm water as well as a way to become more eco-friendly.

Objective

• Show that storm water accumulation can be mitigated by area drain placement.

• Ranking area drains based off of water flow potential.

Digital Terrain Model (DTM) of the Target Area

Constant Raster with a value of 1 made to extent of the Target Area

Import the new array matrix created by extracting minimum values from the constant raster which creates the flow direction.

Create a stream feature class which incorporates the flow direction raster and the DTM.

Using Cellular Automata to select and classify downhill surfaces.

Using Cellular Automata to select and classify uphill surfaces.

Merging both the downhill and uphill surfaces where they intersect.

Questions?

• . A couple of questions were raised with the creation of this program including concerns of current drain line sizes and in our ability to effectively handle large-volumes of potential storm water.

• Show physical changes to campus can create large impacts on the effectiveness of an area drain