Baltimore Ecosystem Study Institute of Ecosystem Studies

2010 BES Annual Meeting Presentation and Poster Abstracts

Attributes and Variables: BES transformative design scenarios
McGrath, Brian
Co-Authors: Urban Design Working Group: Brian McGrath, Mateo Pinto, and Jacinto Padin

Abstract: We have been compiling a database of best practices in urban water management, from which we created a matrix of design option variations - vegetated, non-vegetated and mixed. This taxonomy will allow us to include our design scenarios within the HERCULES land cover framework. The BMP matrix plays out on our three text sub-watersheds, where vegetated practices are explored in Baisman Run, non-vegetative ones in Watershed 263, and mixed types in Dead Run. Additionally, we are interested in the preferences of the residents of three target neighborhoods in these sub-watersheds, each which represent different social agency by different actors: Me (private parcel change) Us (cooperation change between neighbors) Ours (public infrastructure change). The neighborhoods have different balances between individuals, neighbors and public infrastructure. Springfield Farm Court Road is a recently constructed private subdivision of estates on five-acre lots draining into a forested open stream tributary to Baisman Run above Oregon Ridge Park in Cockeysville. Lanvale Headwater Catchment contains a few blocks in the Harlem Park neighborhood in watershed 263 in west Baltimore. This area contains a much higher percentage of public land including the unusual condition of inner-block public parks created in the late 1950's urban renewal project. Gilston Park Road is a street of older ranch houses on small lots that drains from Westview Park into Dead Run in Catonsville, just outside the Beltway. This area represents a condition of private homes with front and backyards draining into a public street which is filtered through an open stream in a public park. Our poster and presentation will display an array of design scenarios generated from a combination of these different attributes across the variables of the BMPs.