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R programming code for analyzing output from the Stochastic Empirical Loading Dilution Model created for U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
This R script can be used to analyze SELDM results. The script is specifically tailored for the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2018, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
| Author(s) |
Adam Stonewall 
|
| Publication Date | 2019 |
| Beginning Date of Data | 2019-01-01 |
| Ending Date of Data | 2019-01-01 |
| Data Contact | |
| DOI | https://doi.org/10.5066/P9Y6YWG9 |
| Citation | Stonewall, A., 2019, R programming code for analyzing output from the Stochastic Empirical Loading Dilution Model created for U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053: U.S. Geological Survey data release, https://doi.org/10.5066/P9Y6YWG9. |
| Metadata Contact | |
| Metadata Date | 2024-01-18 |
| Related Publication | Loading... |
| Citations of these data | Loading https://doi.org/10.3133/sir20195053 Loading https://doi.org/10.3133/SIR20225091 |
| Access | public |
| License | http://www.usa.gov/publicdomain/label/1.0/ |
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Harvest Source: ScienceBase
Harvest Date: 2024-07-24T04:01:55.917Z
Harvest Date: 2024-07-24T04:01:55.917Z