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Open AccessArticle

A Generalized Automated Framework for Urban Runoff Modeling and Its Application at a Citywide Landscape

1
Department of Civil and Environmental Engineering, Villanova University, Villanova, PA 19085, USA
2
Department of Geography & the Environment, Villanova University, Villanova, PA 19085, USA
*
Author to whom correspondence should be addressed.
Water 2020, 12(2), 357; https://doi.org/10.3390/w12020357
Received: 1 January 2020 / Revised: 21 January 2020 / Accepted: 22 January 2020 / Published: 28 January 2020
(This article belongs to the Section Hydrology and Hydrogeology)
This research presents a fully automated framework for runoff estimation, applied to Philadelphia, Pennsylvania, a major urban area. Trends in global urbanization are exacerbating stormwater runoff, making it an increasingly critical challenge in urban areas. Understanding the fine-scale spatial distribution of local flooding is difficult due to the complexity of the urban landscape and lack of measured data, but it is critical for urban management and development. A one-meter resolution Digital Elevation Model (DEM) was used in conjunction with a model developed by using ArcGIS Pro software to create urban micro-subbasins. The DEM was manipulated to account for roof drainage and stormwater infrastructure, such as inlets. The generated micro-subbasins paired with 24-h storm data with a 10-year return period taken from the National Resources Conservation Service (NRCS) for the Philadelphia area was used to estimate runoff. One-meter land-cover and land-use data were used to estimate pervious and impervious areas and the runoff coefficients for each subbasin. Peak runoff discharge and runoff depth for each subbasin were then estimated by the rational and modified rational methods and the NRCS method. The inundation depths from the NRCS method and the modified rational method models were compared and used to generate percent agreement, maximum, and average of inundation maps of Philadelphia. The outcome of this research provides a clear picture of the spatial likelihood of experiencing negative effects of excessive precipitation, useful for stormwater management agencies, city managers, and citizen. View Full-Text
Keywords: urban runoff; subbasin delineation; runoff analysis maps urban runoff; subbasin delineation; runoff analysis maps
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MDPI and ACS Style

Hosseiny, H.; Crimmins, M.; Smith, V.B.; Kremer, P. A Generalized Automated Framework for Urban Runoff Modeling and Its Application at a Citywide Landscape. Water 2020, 12, 357.

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