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

Nutrient and Sediment Concentrations, Loads, and Yields in the Upper Macoupin Creek Watershed, Water Years 2018–2021

Metadata Updated: July 6, 2024

This data release includes estimates of annual and daily concentrations and fluxes for nitrate plus nitrite, total phosphorus, and suspended sediment for two sites in the Upper Macoupin Creek Basin watershed (UMCB) produced using the Weighted Regressions on Time, Discharge, and Season -- Kalman Filter (WRTDS-K; Zhang and Hirsch, 2019) model in the Exploration of and Graphics for RivEr Trends (EGRET) package (Hirsch and De Cicco, 2015). It also includes a model archive (R scripts in Scripts.zip) used to retrieve and format the model input data and run the model. Input data, for Macoupin Creek at Highway 111 near Summerville, Illinois, and Macoupin Creek at Highway 108 near Carlinville, Illinois (U.S. Geological Survey site numbers 05586745 and 05586647, respectively), including discrete concentrations and daily mean streamflow, were retrieved from the National Water Information System database (USGS, 2021). Annual and daily estimates range from water year 2018 through water year 2021 (although water year 2018 is protracted due to data collection starting on October 24, 2017). Reference: Hirsch, R.M., and De Cicco, L.A., 2015, User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data (version 2.0, February 2015): U.S. Geological Survey Techniques and Methods book 4, chap. A10, 93 p., https://dx.doi.org/10.3133/tm4A10. U.S. Geological Survey, 2021, USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed 12/15/2021, at https://doi.org/10.5066/F7P55KJN Zhang, Q., and Hirsch, R.M., 2019. River water‐quality concentration and flux estimation can be improved by accounting for serial correlation through an autoregressive model: Water Resources Research, v. 5, no. 11, p. 9705–9723, https://doi.org/10.1029/2019WR25338.

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 June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/a49f253f2d3dd232536dc9845b20c4ea
Identifier USGS:6220ed1cd34ee0c6b38b6168
Data Last Modified 20230224
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 0c9f5294-ab88-45e4-91a3-3c51c7eecc1e
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -90.3049,39.1205,-89.7198,39.3874
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 24c4b84701c0706b0512b274807b27c82763ea9c0d6d9b5bf4518f8f8c750287
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -90.3049, 39.1205, -90.3049, 39.3874, -89.7198, 39.3874, -89.7198, 39.1205, -90.3049, 39.1205}

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