Excel spreadsheet finding individual storms for use in 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

Spreadsheet for identifying individual storms for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, 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 and Resources

Field Value
accessLevel public
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catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier USGS:5d03d6d4e4b0e3d3115805d4
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 2b99a1fa9acdb281238a5ce3128966330da66fce
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}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • bear-creek
  • biota
  • ckan
  • copper
  • geo
  • geoss
  • mill-creek
  • national
  • north-america
  • oregon
  • phosphorus
  • sediment-transport
  • suspended-material-water
  • united-states
  • usgs-5d03d6d4e4b0e3d3115805d4
isopen False
license_id notspecified
license_title License not specified
maintainer Adam Stonewall
maintainer_email stonewal@usgs.gov
metadata_created 2025-11-21T09:08:23.512732
metadata_modified 2025-11-21T09:08:23.512736
notes Spreadsheet for identifying individual storms for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, 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 Excel spreadsheet finding individual storms for use in 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