Water Quality Evaluation on an Urban Stormwater Retention Pond Using Wireless Sensor Networks and Hydrodynamic Modeling
Publication: Journal of Irrigation and Drainage Engineering
Volume 145, Issue 12
Abstract
An urban stormwater retention pond was instrumented with temperature (T) and dissolved oxygen (DO) sensors connected to wireless sensor networks (WSNs) for providing real-time water quality information. The data were applied for developing a one-dimensional (1D), MINLAKE2012 water quality model to simulate the T and DO variation over 3 years, and a two-dimensional (2D) computational fluid dynamics (CFD) model to simulate flow fields and water temperatures. The model results indicated that thermal pollution and anaerobic conditions that lead to eutrophication, are consistent with the data obtained from WSN measurements. A surface aerator was installed to promote mixing and to increase DO over 4 ppm in an effort to diminish harmful algal bloom. The study demonstrated an improved decision-making assisted by a combination of WSN data acquisition and water quality modeling; and provided a better practical tool for water resource management in urban retention ponds.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request, including the following:
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Measured data from WSN systems;
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Model output from MINLAKE12; and
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Model output from ANSYS/Fluent.
Acknowledgments
This material is based upon work supported by the National Science Foundation under Grant No. CNS-1427838. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. We also appreciate support from Dr. Xing Fang (Auburn University) for providing us the MINLAKE2012 source code for water quality model development, and undergraduate students: Cory Bobbitt, Adriana Salazar, Alan Gruenstein, Billy Wilson, from Department of Civil and Environmental Engineering at Lamar University for helping on the field data measurements and water sampling tests.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 145 • Issue 12 • December 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Nov 10, 2018
Accepted: Aug 5, 2019
Published online: Oct 12, 2019
Published in print: Dec 1, 2019
Discussion open until: Mar 12, 2020
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