Surrogate regression models for computation of time series suspended-sediment, Delaware River Basin NGWOS, 2019 through 2022
The U.S. Geological Survey (USGS), as part of the Next Generation Water Observing System (NGWOS) has collected discrete stream samples for analysis of suspended-sediment concentrations at eight real-time streamflow and water-quality monitoring (turbidity and suspended sediment) stations located in Pennsylvania, New Jersey, and New York in the Delaware River Basin. Data were collected from 2019-2022 at these stations for the application of predicting suspended-sediment concentrations using real-time continuous turbidity, suspended sediment from an uncalibrated sensor, and streamflow data. Regression equations were developed by relating discrete-sample suspended sediment and continuous turbidity, suspended sediment from an uncalibrated sensor, and streamflow data. Regression equations included possible explanatory variables of continuous turbidity, suspended sediment from an uncalibrated sensor, and streamflow data. and the response variable of suspended-sediment concentration with base-10 logarithmic (log) transformations. Data files in .csv format include the variables of datetime, turbidity (in formazin nephelometric units, FNU) streamflow (Q, cubic feet per second, cfs), suspended-sediment concentrations from both samples and an uncalibrated sensor (in milligrams per liter, mg/L), calculated or transformed variables of log turbidity, log streamflow, log suspended-sediment concentrations, and log turbidity, and percentage of both fine and sand particles in a given suspended sediment sample.
Data are included for 8 stream sites:
West Branch Neversink River at Clareyville, NY (USGS Station 01434498, three models calculated at this site, see read-me for more information)
1. Based on turbidity only.
2. Using uncalibrated sensor to directly measure SSC, defined as LISSTABS. This is a Submersible Acoustic Backscatter Sediment Sensor.
3. Applying cross-section coefficient to SSC to correct the single-point automatic sampler data.
Little Lehigh Creek at Tenth St. Br. at Allentown (USGS Station 01451650)
South Branch Rancocas Creek at Vincentown NJ (USGS Station 01465850)
EB White Clay Creek Trib near London Grove, PA (USGS Station 01478100)
East Branch White Clay Creek at Avondale, PA (USGS Station 01478120)
Trout Run at Avondale, PA (USGS Station 01478137)
Middle Branch White Clay Creek near West Grove, PA (USGS Station 01478185)
West Branch White Clay Creek near Chesterville, PA (USGS Station 01478220)
For the models developed for station 01434498, discrete SSC data and continuous turbidity and suspended sediment data are based on data from station 01434498.
For the model developed for station 01451650, discrete SSC data and continuous turbidity are based on data from station 01451650.
For the model developed for station 01465850, discrete SSC data and continuous turbidity are based on data from station 01465850.
For the model developed for station 01478100, discrete SSC data and continuous turbidity are based on data from station 01478100.
For the model developed for station 01478120, discrete SSC data and continuous turbidity are based on data from station 01478120.
For the model developed for station 01478137, discrete SSC data and continuous turbidity are based on data from station 01478137.
For the model developed for station 01478185, discrete SSC data and continuous turbidity are based on data from station 01478185.
For the model developed for station 01478220, discrete SSC data and continuous turbidity and Q are based on data from station 01478220.
Citation Information
Publication Year | 2023 |
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Title | Surrogate regression models for computation of time series suspended-sediment, Delaware River Basin NGWOS, 2019 through 2022 |
DOI | 10.5066/P9F1388Q |
Authors | Natalie K Schmer, Matthew C Gyves, Joseph W Duris, Donald B Bonville, Pamela A Reilly, Jason Siemion |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Pennsylvania Water Science Center |
Rights | This work is marked with CC0 1.0 Universal |