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

Data e Risorse

Campo Valore
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier USGS:5d03d46ce4b0e3d31158059b
metadata_type geospatial
modified 20200827
old-spatial -124.5500, 41.9800, -116.4600, 46.2700
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash e5316dd3dfd399939a90c6768ac2ad5c857ef1cf
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-124.5500, 41.9800], [-124.5500, 46.2700], [ -116.4600, 46.2700], [ -116.4600, 41.9800], [-124.5500, 41.9800]]]}
theme {geospatial}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • amerigeo
  • amerigeoss
  • bear-creek
  • biota
  • ckan
  • copper
  • geo
  • geoss
  • mill-creek
  • national
  • north-america
  • oregon
  • phosphorus
  • sediment-transport
  • suspended-material-water
  • united-states
  • usgs-5d03d46ce4b0e3d31158059b
isopen False
license_id notspecified
license_title License not specified
maintainer Adam Stonewall
maintainer_email stonewal@usgs.gov
metadata_created 2025-11-22T16:14:52.045354
metadata_modified 2025-11-22T16:14:52.045358
notes 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
num_resources 2
num_tags 17
title 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