Purpose Driven Reconciliation Approaches Estimate Chemical Releases DataSet
Description
Curated input data for regression tree modeling, links for EPA sources of data, and glossary of terms used in the data are presented in a spreadsheet. The data set has production volumes, emissions, and physicochemical properties for chemicals.
This dataset is associated with the following publication:
Meyer, D., V. Mittal, W. Ingwersen, G. Ruiz-Mercado, W. Barrett, M. Gonzalez, J. Abraham, and R. Smith. Purpose-Driven Reconciliation of Approaches to Estimate Chemical Releases. ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 7(1): 1260-1270, (2019).
Resources
| Name |
Format |
Description |
Link |
|
53 |
PurposeDrivenReconciliationApproachesEstimateChemicalReleases%20DataSet.xlsx |
https://pasteur.epa.gov/uploads/10.23719/1503037/PurposeDrivenReconciliationApproachesEstimateChemicalReleases%20DataSet.xlsx |
Tags
- process-design
- us-epa-database
- data-mining
- lci
- chemical-manufacture
- simulation