Document Type
Article
Publication Date
12-2018
Keywords
stormwater management, green infrastructure, geographic information system, mapping method
Digital Object Identifier (DOI)
https://doi.org/10.3390/su10124710
Abstract
The stormwater runoff that carries pollutants from the land adjacent to road transportation systems may impair the water environment and threaten the ecosystem and human health. A proper management approach like green stormwater infrastructure (GSI) can help control flooding and the runoff pollutants. One barrier for GSI analysis relevant to system-level surface transportation planning is the lack of the inventory of GSI in many U.S. cities. This study aims to develop a GIS-based framework for creating GSI inventory in a time and labor efficient way, different from the traditional survey-based method. The new proposed framework consists of three steps, including road categorization, GSI mapping, and GSI type identification using the GIS data, high-resolution land-cover image, and Google Earth street view pictures. The new approach was tested in Philadelphia, Pennsylvania and also applied in Tampa, Florida. The results showed that the new GIS-based framework can achieve similar accuracy to the survey-based method while saving time and labor. The GSI inventory created in the study demonstrated the usefulness of the proposed framework for analyzing the status of GSI implementation and identifying gaps for future planning in terms of potential locations and underrepresented GSI types.
Rights Information
This work is licensed under a Creative Commons Attribution 4.0 License.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Sustainability, v. 10, issue 12, art. 4710
Scholar Commons Citation
Xu, Xiaofan; Schreiber, Dylan S. P.; Lu, Qing; and Zhang, Qiong, "A GIS-Based Framework Creating Green Stormwater Infrastructure Inventory Relevant to Surface Transportation Planning" (2018). Civil and Environmental Engineering Faculty Publications. 52.
https://digitalcommons.usf.edu/egx_facpub/52
