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Data for: Bioretention cells provide a tenfold reduction in 6PPD-quinone mass loadings to receiving waters: Evidence from a field experiment and modeling
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Type: | Resource | |
Storage: | The size of this resource is 101.5 MB | |
Created: | Mar 16, 2023 at 9:21 p.m. | |
Last updated: | Mar 20, 2023 at 12:57 p.m. (Metadata update) | |
Published date: | Mar 20, 2023 at 12:57 p.m. | |
DOI: | 10.4211/hs.f43aa2d7542349219886276bd6358c1d | |
Citation: | See how to cite this resource | |
Content types: | Single File Content |
Sharing Status: | Published |
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Views: | 638 |
Downloads: | 34 |
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Abstract
This resource contains 1) measurements from a spike and recovery and subsequent flushing experiment that were performed on a system at the corner of Pine and 8th streets in Vancouver, BC, Canada (see metadata) to investigate the fate and transport of 6PPD-Quinone through stormwater bioretention systems and 2) the version of the "BioretentionBlues" model that was used to estimate fate of 6PPD-quinone. The current version of the model is available from https://github.com/tfmrodge/SubsurfaceSinks
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Content
readme.txt
This readme file was generated on 2023-03-11 by Tim Rodgers GENERAL INFORMATION Title: "Data for: Bioretention cells provide a tenfold reduction in 6PPD-quinone mass loadings to receiving waters: Evidence from a field experiment and modeling" Co-First Authors' Information Name: Timothy F.M. Rodgers ORCID: 0000-0003-1850-404X Institution: University of British Columbia Address: AERL Building Room 440, 2202 Main Mall, Vancouver, BC V6T 1Z4 Email: tim.rodgers@ubc.ca, alternate tim.mainrod@gmail.com Name: Yanru Wang ORCID: Institution: University of British Columbia Address: Civil Environment and Mechanical Engineering (CEME) 1306, 6250 Applied Science Lane, Vancouver, BC V6T 1Z4 Email: wyr1101@student.ubc.ca Corresponding Author Information Name: Scholes, Rachel C. ORCID: 0000-0001-5450-8377 Institution: University of British Columbia Address: Civil Environment and Mechanical Engineering (CEME) 2004B, 6250 Applied Science Lane, Vancouver, BC V6T 1Z4 Email: rachel.scholes@ubc.ca Date of data collection: The experiments were performed on July 28th, 2022 and on August 3rd, 2022. Samples were processed and extracted shortly thereafter, and run in Summer 2022. Modeling and data processing occurred until March, 2023. Geographic location of data collection: Vancouver (corner of Pine St. West and 8th st.) Information about funding sources that supported the collection of the data: Natural Sciences and Engineering Research Council (NSERC) of Canada through the Discovery Grant program (RGPIN-2018-04893 and RGPIN-2022-03115), and through the CFI Innovation Fund: Rapid Air Improvement Network (RAIN, grant number 39971) SHARING/ACCESS INFORMATION Licenses/restrictions placed on the data: CC0 - "Public Domain Dedication" Links to publications that cite or use the data: Will be updated when available. Links to other publicly accessible locations of the data: Links/relationships to ancillary data sets: Was data derived from another source? No. If yes, list source(s): Recommended citation for this dataset: DATA & FILE OVERVIEW File List: Root: 1. "Pine8_SpikeTest_DigitalLogBook.xlsx": This workbook contains the digital lab logbook for the experiment, the measured concentrations, and the calculations that were used to prepare the experimental results for use in the model. 2. "Model_inputs.xlsx": This workbook contains all of the model inputs used to run the model. 3. "3. Pine and 8th South - Bioretention SWMM Template.zip": This contains the EPA-SWMM model for the Pine and 8th st catchment, and the rain gauges that were used to generate the synthetic events. You can download EPA-SWMM here: https://www.epa.gov/water-research/storm-water-management-model-swmm 4. "SubsurfaceSinks-Pine8th.tar.gz" This repository contains the SubsurfaceSinks code and associated BioretentionBlues subclass that was used to estimate the transport and fate of chemicals in this publication. For more information see the repository at https://github.com/tfmrodge/SubsurfaceSinks, the uploaded version is V2.0: Pine8th. Note that V1.0 does not exist, but is the version that was used in Rodgers et al. (2022) Relationship between files, if important: These files contain the measurements and the values that were used to parameterize and run the BioretentionBlues subclass for estimating the fate and transport of 6PPD-Quinone through stormwater bioretention systems. Additional related data collected that was not included in the current data package: The multimedia Urban Model is available at the lead author's GitHub: https://github.com/tfmrodge/SubsurfaceSinks, or in File 4. The version uploaded here is V2.0: Pine8th. The model was originally published as: (1) Rodgers, T. F. M.; Wu, L.; Gu, X.; Spraakman, S.; Passeport, E.; Diamond, M. L. Stormwater Bioretention Cells Are Not an Effective Treatment for Persistent and Mobile Organic Compounds (PMOCs). Environ. Sci. Technol. 2022, acs.est.1c07555. https://doi.org/10.1021/acs.est.1c07555. Are there multiple versions of the dataset? No If yes, name of file(s) that was updated: Why was the file updated? NA METHODOLOGICAL INFORMATION Description of methods used for collection/generation of data: The data presented here was collected from a "spike and recovery" experiment on a bioretention cell in Vancouver, Canada. Full methodological information can be found in the associated publication. DATA-SPECIFIC INFORMATION FOR: [1. Pine8_SpikeTest_DigitalLogBook.xlsx] This workbook contains 11 sheets and a "cover" sheet, which describes the data contained in each sheet. For full methodological details, see the associated manuscript. Briefly, flow rates were measured with a 3L graduated cylinder and a stopwatch, the "water quality' parameters (temperature °C, conductivity us, and pH) were measured with a water quality probe. Samples were taken using a peristaltic pump and then stored on ice until extraction (as described below). Analysis (see associated manuscript for full details): We quantified 6PPD-quinone by extracting the water samples using off-line solid-phase extraction (SPE), and then transferred 1 mL of well-mixed extract to HPLC vials for analysis using an Agilent 1200 series high-performance liquid chromatography (HPLC) system and a 6410 triple quadrupole mass spectrometer (Agilent Technologies, CA, USA). We measured the concentrations of the bromide and rhodamine-WT tracers using ion chromatography (Dionex Aquion, Thermo Scientific, Ontario, Canada) and UV/Vis spectroscopy (Unicam UV 300, Thermo Spectronic, USA), respectively. DATA-SPECIFIC INFORMATION FOR: [2. Model Inputs.xlsx] This workbook contains 12 sheets and a "cover" sheet, which describes each sheet and the data contained therein. DATA-SPECIFIC INFORMATION FOR: [3. Pine and 8th South - Bioretention SWMM Template.zip] This compressed folder contains an EPA-SWMM model of the Pine and 8th st. catchnment and bioretention cell (uncalibrated). It can be used to generate the input flows to the bioretention cell that were used in this study. For details on how to run an EPA-SWMM model, refer to: https://www.epa.gov/water-research/storm-water-management-model-swmm DATA-SPECIFIC INFORMATION FOR: [4. "SubsurfaceSinks-Pine8th.tar.gz"] This repository contains the SubsurfaceSinks and BioretentionBlues code used to estimate the transport and fate of chemicals in this publication. For more information see the reposiitory at https://github.com/tfmrodge/FugModel, the uploaded version is V2.0: Pine8th.
Related Resources
This resource is referenced by | Rodgers and Wang et al. (submitted) |
The content of this resource is derived from | https://github.com/tfmrodge/SubsurfaceSinks |
This resource has been replaced by a newer version | Rodgers, T., Y. Wang, C. Humes, M. Jeronimo, C. Johannessen, S. Spraakman, A. Giang, R. C. Scholes (2023). Data for: Bioretention cells provide a tenfold reduction in 6PPD-quinone mass loadings to receiving waters: Evidence from a field experiment and modeling, HydroShare, http://www.hydroshare.org/resource/c24df560663448aebcbba9228c4fda19 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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National Sciences and Engineering Research Council of Canada (NSERC) | NSERC Discovery Grant to Rachel Scholes | RGPIN-2022-03115 |
National Sciences and Engineering Research Council of Canada (NSERC) | NSERC Postdoctoral Fellowship to Tim Rodgers | |
Canada Foundation for Innovation (CFI) | CFI Innovation Fund to the Rapid Air Improvement Network | 39971 |
National Sciences and Engineering Research Council of Canada (NSERC) | NSERC Discovery Grant to Amanda Giang | RGPIN-2018-04893 |
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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