Probabilistic Stormwater Runoff and Water Quality Modeling of a Highway in Suburban Maryland
Publication: Journal of Hydrologic Engineering
Volume 23, Issue 2
Abstract
The U.S. EPA Storm Water Management Model (SWMM) was used to simulate upland runoff production and the subsequent performance of a downstream, ponded infiltration basin installed adjacent to a highway in suburban Maryland. The SWMM’s performance was evaluated with a unique, rich suite of in situ flow and water quality observations. The availability of these in situ observations creates a novel opportunity to explore the performance of SWMM across small scales in space and time. In order to systematically explore the ability of SWMM to leverage these observations, an automatic Monte Carlo–based calibration framework was developed and a multiparameter sensitivity analysis was conducted. As expected, the calibrated model showed better skill in terms of reproducing water quantity observations relative to water quality observations. An uncertainty analysis showed model predictions (flow and water quality) were consistent in the sense that the model was able to encapsulate the observations between 5 and 95% confidence intervals. Example code for use by other researchers to employ the techniques discussed in this paper is made publicly available with this manuscript.
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Acknowledgments
This research was supported by a Summer Graduate Fellowship from the Maryland Water Resources Research Center, Grant No. 2015MD332B. Special appreciation goes to Poornima Natarajan for sharing her data.
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Journal of Hydrologic Engineering
Volume 23 • Issue 2 • February 2018
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©2017 American Society of Civil Engineers.
History
Received: Nov 9, 2016
Accepted: Jul 12, 2017
Published online: Dec 8, 2017
Published in print: Feb 1, 2018
Discussion open until: May 8, 2018
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