DYNAMIC DITCHES: An Algorithmic Modeling Approach to Site-Scale Stormwater Solutions
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Date
2019-06-18
Authors
Weaver, Christopher G
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Abstract
This project sought to explore ways in which algorithmic
modeling may lend a methodology to the landscape
architecture design process. Specifically, a
computational design framework originating from industrial
engineering was applied to the problem of siting
and sizing bioretention facilities—a type of stormwater
infiltration facility—on a site-scale. The primary
task was in developing the algorithm in Rhino+Grasshopper
to automate the logic sequence and calculations of
the standard multi-step stormwater design procedure.
There were several essential goals in this research
project: 1) broaden the range of stormwater solution
options for landscape architects, 2) develop the capability
to optimize design solutions for low-cost and
localized impact, 3) create an algorithmic workflow
that may be expanded upon to encode additional landscape
design variables.
As a measure of validity, the completed algorithm was
tested against a professional design for the 0.8 acre
LaTourette Park in Oregon City, OR. Both were evaluated
based on their performance in a 10-year design
storm. Compared with the professional stormwater
scheme, the algorithmic model resulted in more efficiency
in terms of lowering construction costs, percentage
of runoff reduction, and in intercepting surface
flow near its source. These are ostensibly favorable
results, although the utility of the algorithmic model
is debatable. Being a simulation narrowly geared
toward a single type of solution, the model does not
offer solution alternatives that may involve a broader
stormwater management scheme. However, it may serve
as a tool in informing decisions of that kind.
Description
131 pages. Examining committee chair: Mark Eischeid
Keywords
algorithmic modeling, computational design, stormwater infrastructure, Rhino+Grasshopper, design storm, solution optimization, site-scale design