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Type: | Resource | |
Storage: | The size of this resource is 1.3 MB | |
Created: | Mar 12, 2019 at 3:28 p.m. | |
Last updated: | Mar 13, 2019 at 2:02 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 1787 |
Downloads: | 52 |
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Abstract
This resource contains data suitable for time series modeling of phosphorus (P) removal in a low-P constructed stormwater wetland. Inflow-outflow time series are provided that include daily water inflow and outflow rates (m3/d), estimated daily inflow and outflow total P (TP) concentrations (µg/L), and an estimate of daily wetland water depth for the period 2003-2016 (14-years). Additionally, the resource also contains a second data set of periodic (n=45) internal water P measurements made in the same wetland. This internal additional dataset is suitable for calibration and/or validation of model predictions of P removal within the wetland itself, in addition to the discharge time series provide at the wetland outflow.
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Study Site | The study site is a single constructed wetland flow-way that is part of the greater network of Stormwater Treatment Areas (STAs) for Everglades restoration in south Florida, USA (see figure to the right). The purpose of the STA’s is to remove phosphorus (P) from upstream stormwater runoff and managed Lake Okeechobee releases to very low P levels. Inflow P to the STA’s is already typically very low, on the order of 100-250 µg/L. The water quality based effluent limit (WQBEL) for the STAs states that each individual STA (n=5) must achieve 13 µg/L as an annual flow-weighted mean in three of five consecutive years, with an annual not-to-exceed limit of 19 µg/L. |
Related Resources
This resource is referenced by | Juston, J.M. & Kadlec, R.H. (2019), Data-driven modeling of phosphorus (P) dynamics in low-P stormwater wetlands. Environmental Modelling and Software, in press. |
The content of this resource is derived from | https://www.sfwmd.gov/science-data/dbhydro |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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