Data for developing metamodels to assess the fate, transport, and bioaccumulation of organic chemicals in rivers. Chemicals have log Kow ranging from 3 to 14, and rivers have mean annual discharges ranging from 1.09 to 3240 m3/s.

Metadata Updated: September 14, 2018

This dataset was developed to demonstrate how metamodels of high resolution, process-based models that simulate the fate, transport, and bioaccumulation of organic chemicals in rivers can be developed and applied for screening level exposure assessments. Chemicals of concern are assumed to be released from point sources (e.g., wastewater treatment works) and have log n-octanol/water partition coefficients (log Kow) ranging from 3 to 14. The rivers of concern have mean annual discharges ranging from 1.09 to 3240 m3/s. Five existing USEPA models are used to generate the required databases. The Chemical Transformation Simulator (CTS) and the High Throughput Stochastic Human Exposure and Dose Simulation Model (SHEDS-HT) are used to estimate the pchem properties and loading rates of the chemicals of interest, respectively. Using these data, the dissolved and total water concentrations, and total sediment concentrations for each chemical-loading combination in the rivers of interest are simulated using the Exposure Analysis Modeling System (EXAMS). Lastly, the Kow-based Aquatic BioAccumulation Model (KABAM) and the Bioaccumulation and Aquatic System Simulator (BASS) are used to estimate BCFs of periphyton and phytoplankton and BAFs of benthic invertebrates, zooplankton, and fish in the rivers of interest. Using these BCFs and BAFs and EXAMS dissolved water concentrations, expected whole-body concentrations of exposed fish and invertebrates are calculated for each chemical-loading-river combination.

This dataset is associated with the following publication: Barber, C., K. Isaacs, and C. Stevens. Developing and applying metamodels of high resolution process-based simulations for high throughput exposure assessment of organic chemicals in riverine ecosystems. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 605606: 471-481, (2017).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

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References

https://doi.org/10.1016/j.scitotenv.2017.06.198

Dates

Metadata Created Date September 13, 2017
Metadata Updated Date September 14, 2018

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date September 13, 2017
Metadata Updated Date September 14, 2018
Publisher U.S. EPA Office of Research and Development (ORD)
Unique Identifier https://doi.org/10.23719/1379220
Maintainer
Mahlon Barber
Maintainer Email
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Data Dictionary https://pasteur.epa.gov/uploads/A-4xh5/945/documents/A-4xh5_data_dictionary.xlsx
Data Dictionary Type application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Harvest Object Id eacb44e9-0c78-43c3-8335-7e8ffd53e287
Harvest Source Id cf9b0004-f9fd-420e-bade-a86839e82acf
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Data Last Modified 2017-09-06
Program Code 020:095
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://doi.org/10.1016/j.scitotenv.2017.06.198
Source Datajson Identifier True
Source Hash f5c59892aca6f67634ffccb116b02ffc83909e85
Source Schema Version 1.1

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