Model Archive Data for Suspended-Sediment Regression at Station 071948095, Mud Creek near Johnson, AR

Dates

Publication Date: 2023-01-24
Start Date: 2015-07-22
End Date: 2021-03-13

Citation

Banks, S.M., 2023, Model Archive Data for Suspended-Sediment Regression at Station 071948095, Mud Creek near Johnson, AR: U.S. Geological Survey data release, https://doi.org/10.5066/P9CVSK21.

Summary

Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the U.S. Geological Survey (USGS) database (Anderson, 2005; Wagner, 2006). Suspended-sediment samples were collected using equal width increments or grab sampling techniques (Edwards, 1999). The use of an optical sensor to continuously monitor turbidity provided an accurate estimate of sediment fluctuations without the collection and analysis costs associated with intensive sampling (Office of Surface Water Memorandum 2016.07; Rasmussen et al., 2009). Turbidity was used as a surrogate for suspended-sediment concentration (SSC), which is a measure of sedimentation and siltation. Regression [...]

Summary

Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the U.S. Geological Survey (USGS) database (Anderson, 2005; Wagner, 2006). Suspended-sediment samples were collected using equal width increments or grab sampling techniques (Edwards, 1999). The use of an optical sensor to continuously monitor turbidity provided an accurate estimate of sediment fluctuations without the collection and analysis costs associated with intensive sampling (Office of Surface Water Memorandum 2016.07; Rasmussen et al., 2009). Turbidity was used as a surrogate for suspended-sediment concentration (SSC), which is a measure of sedimentation and siltation. Regression models were developed between SSC and turbidity using turbidity data from the optical sensor and the SSC data collected from the suspended-sediment samples.

For Mud Creek near Johnson, AR, instantaneous turbidity measurements began on June 19, 2015, and ranged from 0.1 to 459.33 Formazin Nephelometric Units (FNU). A total of 51 suspended sediment samples were collected beginning in July of 2015 and ranged from 1 to 610 milligrams per liter (mg/L) across a range of streamflow from 1.71 to 2090 cubic feet per second (cfs). There were 31 suspended-sediment samples used in the final model after removing quality assurance/quality control samples, samples corresponding with gaps in turbidity data, samples associated with sampling/fouling errors, and extraneous samples from the same storm event which would result in overfitting of the model.

Contacts

Point of Contact :: Sarah M Banks
Originator :: Sarah M Banks
Metadata Contact :: Sarah M Banks
Publisher :: U.S. Geological Survey
USGS Mission Area :: Water Resources
SDC Data Owner :: Lower Mississippi-Gulf Water Science Center
Distributor :: U.S. Geological Survey - ScienceBase

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SRMetadata_071948095.xml Original FGDC Metadata	View	16.96 KB	application/fgdc+xml
SRdata_071948095.csv		3.41 KB	text/csv
Model Archive Summary for Suspended-Sediment Regression at Station 071948095.docx		404.7 KB	application/vnd.openxmlformats-officedocument.wordprocessingml.document

Related External Resources

Type: Citation

Anderson, C.W., 2005, Turbidity: U.S. Geological Survey Techniques of Water-Resources Investigations, book 9, chap. A6.7, accessed November 2021, at https://doi.org/10.3133/twri09A6.7.	https://pubs.usgs.gov/twri/twri9a6/twri9a67/twri9a_6.7_ver2.0_8-04.pdf
Edwards, T.K., and Glysson, G.D., 1999, Field methods for measurement of fluvial sediment: U.S. Geological Survey Techniques of Water-Resources Investigations, book 3, chap. C2, 89 p, accessed November 2021, at https://pubs.er.usgs.gov/publication/twri03C2.	https://water.usgs.gov/osw/techniques/Edwards-TWRI.pdf
Office of Surface Water Technical Memorandum No. 2016.07, Policy and guidance for approval of surrogate regression models for computation of time-series suspended-sediment concentrations and loads, accessed November 2021, at https://water.usgs.gov/admin/memo/SW/sw.2016.07+wq.2016.10.pdf	https://water.usgs.gov/admin/memo/SW/sw.2016.07+wq.2016.10.pdf
Rasmussen, P.P., Gray, J.R., Glysson, G.D., and Ziegler, A.C., 2009, Guidelines and procedures for computing time-series suspended-sediment concentrations and loads from in-stream turbidity-sensor and streamflow data: U.S. Geological Survey Techniques and Methods book 3, chap. C4, 53 p, accessed November 2021, at https://pubs.usgs.gov/tm/tm3c4/	https://pubs.usgs.gov/tm/tm3c4/
Wagner, R.J., Boulger, R.W.J., Oblinger, C.J., and Smith, B.A., 2006, Guidelines and standard procedures for continuous water-quality monitors: Station operation, record computation, and data reporting: United States Geological Survey Techniques and Methods 1-D3: 51 p, accessed November 2021, at https://pubs.er.usgs.gov/publication/tm1D3	https://pubs.er.usgs.gov/publication/tm1D3

Purpose

Sedimentation is one of the leading causes of stream impairment. However, consistent collection of sediment data is both time consuming and resource intensive. Turbidity is frequently collected where water-quality data is collected and is a useful surrogate for calculating suspended-sediment concentration (SSC). Turbidity can be measured continuously at a relatively low cost via in situ monitors with optical sensors. Instantaneous turbidity data and suspended-sediment samples were collected by the U.S. Geological Survey (USGS) at Mud Creek near Johnson, AR (gaging station 071948095) and used to quantify SSC. Time series of SSC at stream sites are produced via linear regression of instantaneous turbidity values and measured suspended-sediment data, providing SSC from unit value (15-minute) turbidity data. This study was conducted by the USGS in cooperation with the City of Fayetteville, Arkansas Natural Resources Commission, and Arkansas Department of Environmental Quality.

Model Archive Data for Suspended-Sediment Regression at Station 071948095, Mud Creek near Johnson, AR

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