Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Simulated nutrient and sediment concentrations from major rivers in Illinois based on continuous monitoring from October 1, 2015, through September 30, 2023

Metadata Updated: July 24, 2025

During water years 2016–2023 (a water year is the period from October 1 to September 30 and is designated by the year in which it ends), the U.S. Geological Survey (USGS), in cooperation with the Illinois Environmental Protection Agency (Illinois EPA), operated continuous monitoring stations on eight of the major rivers in Illinois to better quantify nutrient and sediment loadings from the State of Illinois to the Mississippi River. This data release presents estimates of daily nitrate, phosphorus, and suspended sediment concentrations and uncertainty over that period. The concentration estimates are based on a combination of discrete sampling and surrogate regression (imputation); see Hodson and others (2021) for details on the imputation model. The data release comprises a comma-separated values (csv) file containing daily timeseries of concentration and uncertainty for each monitoring station and a spreadsheet (xlsx) with yearly loads and streamflow for each individual site and total Illinois loads and streamflow. These methods are discussed in the most recent Illinois Nutrient Loss Reduction Strategy Biennial Report pages 25–26 ; see Biennial Report 2021–22 (2023). References Cited: Hodson, T.O., Terrio, P.J., Peake, C.S., and Fazio, D.J., 2021, Continuous monitoring and Bayesian estimation of nutrient and sediment loads from Illinois watersheds, for water years 2016–2020: U.S. Geological Survey Scientific Investigations Report 2021-5092. [Also available at https://doi.org/10.3133/sir20215092]. Illinois Nutrient Loss Reduction Strategy Biennial Report 2021-22. (2023). Illinois Environmental Protection Agency and Illinois Department of Agriculture; Springfield, Illinois. University of Illinois Extension; Urbana-Champaign, Illinois. https://epa.illinois.gov/topics/water-quality/watershed-management/excess-nutrients/nutrient-loss-reduction-strategy.html.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date July 24, 2025
Metadata Updated Date July 24, 2025

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date July 24, 2025
Metadata Updated Date July 24, 2025
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/97d491d5cc1371a392110d62c97c2bf4
Identifier USGS:6659f4ced34ef3137d36a4a8
Data Last Modified 20250325
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 74d5bdd7-6185-4af3-921f-8f0ecd4b6634
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -91.582,36.9144,-87.1875,43.1007
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash dddac833bfe03f93b13c911ac6df8779c3cf6d259b4e41df538530f60982da11
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -91.582, 36.9144, -91.582, 43.1007, -87.1875, 43.1007, -87.1875, 36.9144, -91.582, 36.9144}

Didn't find what you're looking for? Suggest a dataset here.