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  3. Input and results from boosted regression tree and artificial neural network models that predict daily maximum pH and daily minimum dissolved oxygen in Upper Klamath Lake, 2005-2019
  4. Daily total phosphorus concentrations calculated using the USGS Weighted Regression on Time, Discharge, and Season (WRTDS)

Daily total phosphorus concentrations calculated using the USGS Weighted Regression on Time, Discharge, and Season (WRTDS)

Dates

Publication Date
Start Date
1991-10-01
End Date
2019-12-17

Citation

Wherry, S.A., and Schenk, L.N., 2023, Input and results from boosted regression tree and artificial neural network models that predict daily maximum pH and daily minimum dissolved oxygen in Upper Klamath Lake, 2005-2019: U.S. Geological Survey data release, https://doi.org/10.5066/P971MB6W.

Summary

This data release contains model inputs, outputs, and source code (written in R) for the calculation of daily total phosphorus (TP) concentrations at a sampling site operated by the Klamath Tribes (WR6000), which is located 5 miles downstream of USGS streamgage 11502500, Williamson River below Sprague River near Chiloquin, Oregon. Daily streamflow data from 11502500 were used to calibrate the model along with data provided for the Klamath Tribes for site WR6000. Daily TP concentrations were calculated from 1991-2019 using the USGS Weighted Regression on Time, Discharge, and Season (WRTDS) model. Calibration data are bi-weekly (every two weeks) TP concentrations collected at site WR6000 and analyzed by the Klamath Tribes at the Sprague [...]

Contacts

Point of Contact :
Liam Schenk, U.S. Geological Survey
Process Contact :
Klamath Tribes Ambodat Department, Mark Buettner
Originator :
Liam N. Schenk, Susan A. Wherry
Metadata Contact :
Liam N. Schenk, U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

Click on title to download individual files attached to this item.

readme.txt 3.62 KB text/plain
wrtds.R 2.21 KB text/x-rsrc
dailyTPconc_1991-2019.csv 310.39 KB text/csv
WR6000_tp.csv 10.39 KB text/csv
Williamson_TP_WRTDS_metadata.v2.xml
Original FGDC Metadata
View 		12.29 KB application/fgdc+xml

Purpose

This data release provides the supporting information for the article “Examining the effect of physicochemical and meteorological variables on water quality indicators of harmful algal blooms in a shallow hypereutrophic lake using machine learning techniques”, and is a child item to the larger data release associated with this publication.

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