GIS-Enabled Rain Garden Design: Austin, Texas

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Presentation transcript:

GIS-Enabled Rain Garden Design: Austin, Texas November 2018 GIS-Enabled Rain Garden Design: Austin, Texas Using widely-available datasets to allow engineers and city planners to quickly design and implement green infrastructure without the use of multiple programs and models. Clint h. Smith, MSCE Graduate Research Assistant, The University of Texas at Austin

Rain Garden in Austin, TX Contents: Background Implementation of GI Timeline of Tool Novelty Tool Conclusions Rain Garden in Austin, TX Source: http://austintexas.gov/department/austins-small-scale-green-infrastructure Implementation of what?

Background: Green Infrastructure Gray Infrastructure Types: Rain Gardens* Vegetated Swales Green Roofs Permeable Pavement Slows stormwater down Can be implemented in series Removes pollutants Recharges groundwater table More maintenance Easier to retrofit Gray Infrastructure Traditional means of stormwater conveyance Types: Culverts (concrete, metal) Concrete ditches General stormwater conveyance High velocity, no pollutant removal No groundwater recharge Designed for 50 year lifespan at current site characteristics “Green Infrastructure and Ground Water Impacts.” EPA, Environmental Protection Agency, 22 June 2018, www.epa.gov/green-infrastructure/green-infrastructure-and-ground-water-impacts.

Implementation of GI: Barriers: Many barriers to implementation Time constraints Knowledge of how to design Time to learn how to design “Overcoming Barriers to Green Infrastructure.” EPA, Environmental Protection Agency, 22 June 2018, www.epa.gov/green-infrastructure/overcoming-barriers-green-infrastructure.

Implementation:

Novelty: Instead of city planners needing to use multiple programs, all of the design is done in one interface (ArcMap) Eliminates use of manually retrieving and processing data in multiple programs such as EPA SWMM, HEC-RAS, HEC-HMS. Correia, Francisco Nunes, et al. "Coupling GIS with hydrologic and hydraulic flood modelling." Water Resources Management 12.3 (1998): 229-249.

City of Austin DEM seen with Rain Garden Design Tool Uses 2 Widely Available Data Sets: National Land Cover Dataset (NLCD 2011) Digital Elevation Model (DEM) The higher resolution the better (to an extent)

Timeline: Single Barrel Concrete Culvert in VBA Fall 2015 Zachary Wilbanks, Leah Clifton, Bradford Wilson GIS Term Project Single Barrel Concrete Culvert in Python Fall 2016 Ashton Greer Ph.D. Project Work Vegetated Swale in Python Spring 2018 Ashton Greer EPA P3 Grant Rain Garden in Python Fall 2018 Clint Smith GIS Term Project Greer, A. D., Wilbanks, Z. B., Clifton, L. D., Wilson, B., & Graettinger, A. J. Advances in Civil Engineering GIS Enabled Culvert Design: A Case Study in Tuscaloosa, Alabama.

Tool: Uses industrial standard equations: Rational Method: Q = CiA Kirpich Equation: tc =(0.0078)*(L0.077)/(S0.385) City of Austin Rain Garden Equations: Volume/ft2 (VSF) = Depth (d)* 0.623 Surface Area (SA) = Q/VSF Minimum SA (SA min) = Q/ (4+(1.33)*d) Iterates (depth) calculations until constraints are met Outputs: Surface Area, depth, and Diameter City of Austin, Drainage Criteria Manual, Austin, Texas, January 1977 “ENVIRONMENTAL CRITERIA MANUAL City of AUSTIN, TEXAS Codified through Rule No. 161-18.05, Enacted June 12, 2018. (Supp. No. 8-2018).” Municode Library.

Tool for Circular Rain Garden: Performs all calculations needed for design User needs to know site characteristics Further work can be done to automate design process and extract site characteristics from LiDAR

Conclusions: Rain garden design is very interpretive and iterative No strict set of guidelines across all governing agencies EPA, TCEQ, City of Austin… City planners and engineers will know what plants to use based on region Rain garden design can be further optimized using deep learning methods *Side Note Coding is hard Interpreting someone else’s code is harder Editing a code you did not originally write is not fun

Acknowledgements Thanks to Dr. Maidment for his assistance throughout the project. Thanks to The University of Alabama GIS Lab for the original culvert design script. www.gisresearch.ua.edu

Questions?