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Stochastic Empirical Loading and Dilution Model (SELDM) software archive

Dates

Publication Date
Publication Date

Citation

Granato, G.E., 2021, Stochastic Empirical Loading and Dilution Model (SELDM) software archive: U.S. Geological Survey software release, https://doi.org/10.5066/P9PYG7T5.

Summary

The Stochastic Empirical Loading and Dilution Model (SELDM) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to transform complex scientific data into meaningful information about the risk of adverse effects of runoff on receiving waters, the potential need for mitigation measures, and the potential effectiveness of such management measures for reducing these risks (Granato 2013; Granato and Jones, 2014). SELDM is a stochastic model because it uses Monte Carlo methods to produce the random combinations of input variable values needed to generate the stochastic population of values for each component variable. SELDM calculates [...]

Contacts

Originator :
Gregory E Granato
Metadata Contact :
Gregory E Granato
Point of Contact :
Gregory E Granato
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
New England Water Science Center
USGS Mission Area :
Water Resources

Attached Files

Click on title to download individual files attached to this item.

SELDMQWDScreennewgrayscaleNewAIb.png
“SELDM splash-screen graphic”
thumbnail 72.06 KB image/png
License.md.txt
“USGS LICENSE.md in text-file format”
1.63 KB text/plain
SELDM-code.json
“SELDM code documentation file in JavaScript Object Notation (JSON) format”
3.54 KB application/json
AnalysisDeletionFormv01.zip
“A utility to delete individual analyses or whole projects from a SELDM file”
119.34 KB application/zip
ExtractSELDMv1.1.zip
“A utility to extract all the input data for projects from a SELDM file”
558.21 KB application/zip
SELDMv1.0.1.zip
“Zip file containing SELDM version 1.0.1”
46.24 MB application/zip
SELDMv1.0.2.zip
“Zip file containing SELDM version 1.0.2”
53.09 MB application/zip
SELDMv1.0.3.zip
“Zip file containing SELDM version 1.0.3”
282.34 MB application/zip
SELDMv1.1.0.zip
“Zip file containing SELDM version 1.1.0”
12.97 MB application/zip
SELDM-ReadMe.txt
“SELDM software archive read me file in text-file format”
6.9 KB text/plain

Material Request Instructions

All software files are available in this software release.

Purpose

This data release is a software archive to document different versions of the Stochastic Empirical Loading and Dilution Model (SELDM).

Rights

This software is a product of the U.S. Geological Survey, which is part of the U.S. Government. This software is freely distributed. There is no fee to download and (or) use this software. As a work of the United States Government, this USGS product is in the public domain (https://www.usa.gov/government-works) within the United States. You can copy, modify, distribute, and perform the work, even for commercial purposes, all without asking permission. Additionally, USGS waives copyright and related rights in the work worldwide through CC0 1.0 Universal Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/ ). This software has been approved for release by the U.S. Geological Survey (USGS). Although the software has been subjected to rigorous review, the USGS reserves the right to update the software as needed pursuant to further analysis and review. No warranty, expressed or implied, is made by the USGS or the U.S. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty. Furthermore, the software is released on condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from its authorized or unauthorized use. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9PYG7T5

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