Dissertation/Thesis Abstract

An Automated Method for Delineating Drainage Areas of Green Stormwater Infrastructures using GIS
by Jahangiri, Humaira Monowara, M.S.W.R., Villanova University, 2018, 97; 13425114
Abstract (Summary)

The objective of this research is to delineate drainage areas of Green Stormwater Infrastructure (GSI) using a range of topographic map resolutions through an automated workflow in Geographic Information Systems (GIS) software for urban and suburban areas: Philadelphia, PA and Villanova University. GSI are a solution to highly urbanized communities, allowing them to reduce stormwater flow volumes and mitigate pollutants. This research facilitates the identification of the contributing area to a GSI is key to design a well-functioning GSI. In this study stormwater drainage networks (containing traditional and GSI systems) were used to estimate the loading ratios at different resolutions of topographic data. The input topographic data for this study ranges from fine scale to coarse scale resolution from LiDAR derived digital elevation models (DEM), existing DEMs publicly available, and contours. This comprehensive workflow for watershed delineation incorporates GSI, buildings, gutters and inlets by altering the DEM to make these features part of the hydrologic landscape. The delineation model created in ArcGIS using a geospatial data model to produce flow accumulation lines and ultimately delineate urban catchments using the Spatial Analyst tools. This workflow contributes to GSI planning design and the understanding of expected GSI performance in a stormwater network.

Indexing (document details)
Advisor: Smith, Virginia B
Commitee: Wadzuk, Bridget M
School: Villanova University
Department: Department of Civil & Environmental Engineering
School Location: United States -- Pennsylvania
Source: MAI 81/4(E), Masters Abstracts International
Subjects: Civil engineering
Keywords: ArcHydro, drainage area, GIS, Green Stormwater Infrastructure, Urban hydrology, watershed delineation
Publication Number: 13425114
ISBN: 9781392389584
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