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Stochastic Empirical Loading and Dilution Model in MS Access created for U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
Stochastic Empirical Loading and Dilution Model (SELDM) utilizes Microsoft Access databases to build and run model simulations. The compiled database was used for all simulations related to 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, Stochastic Empirical Loading and Dilution Model in MS Access 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: 2024-01-20T08:25:07.157Z
Harvest Date: 2024-01-20T08:25:07.157Z