Groundwater elevation data for monitoring wells within the East and Taylor River basins, Colorado (USA)
Abstract
This dataset is comprised of temporal variations in groundwater elevation data for the 24 monitoring wells located throughout the East River watershed. Seasonal to annual variations in groundwater elevations are a critical property of mountainous watersheds needed to understand both hydrological and below ground biogeochemical processes. Such data serve as a critical constraint for numerical models describing coupled groundwater-surface water behavior within the watershed. Additionally, the offset between the maximum and minimum groundwater elevations defines the extent of the bedrock weathering zone, with annual excursions in the groundwater hydrographic (i.e., the rising and falling hydrographic limbs) imposing primary controls on bedrock saturation state and redox conditions that govern biogeochemical reactions impacting nitrogen, carbon, and metals cycling. Manufacturer-specific software is used to download pressure data from each transducer, with broadly available spreadsheet software (e.g. Microsoft Excel) used to convert temporal variations in water pressure to elevations in units of meters above mean sea level. As additional monitoring wells are installed within the East River watershed and new groundwater monitoring wells are installed in the Taylor River watershed, temporal groundwater elevation data will be included as a part of this master dataset. Details regarding the metadata associated with each monitoring well location,more »
- Authors:
-
- Lawrence Berkeley National Laboratory
- Publication Date:
- DOE Contract Number:
- AC02-05CH11231
- Research Org.:
- Watershed Function SFA
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER > GROUND WATER FEATURES > WATER TABLE > WATER TABLE DEPTH; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; ESS-DIVE Location Metadata Reporting Format
- OSTI Identifier:
- 2575230
- DOI:
- https://doi.org/10.15485/2575230
Citation Formats
Williams, Kenneth, Beutler, Curtis, Shirley, Austin, Newman, Alex, Sprenger, Matthias, and Wang, Lijing. Groundwater elevation data for monitoring wells within the East and Taylor River basins, Colorado (USA). United States: N. p., 2025.
Web. doi:10.15485/2575230.
Williams, Kenneth, Beutler, Curtis, Shirley, Austin, Newman, Alex, Sprenger, Matthias, & Wang, Lijing. Groundwater elevation data for monitoring wells within the East and Taylor River basins, Colorado (USA). United States. doi:https://doi.org/10.15485/2575230
Williams, Kenneth, Beutler, Curtis, Shirley, Austin, Newman, Alex, Sprenger, Matthias, and Wang, Lijing. 2025.
"Groundwater elevation data for monitoring wells within the East and Taylor River basins, Colorado (USA)". United States. doi:https://doi.org/10.15485/2575230. https://www.osti.gov/servlets/purl/2575230. Pub date:Wed Jan 01 04:00:00 UTC 2025
@article{osti_2575230,
title = {Groundwater elevation data for monitoring wells within the East and Taylor River basins, Colorado (USA)},
author = {Williams, Kenneth and Beutler, Curtis and Shirley, Austin and Newman, Alex and Sprenger, Matthias and Wang, Lijing},
abstractNote = {This dataset is comprised of temporal variations in groundwater elevation data for the 24 monitoring wells located throughout the East River watershed. Seasonal to annual variations in groundwater elevations are a critical property of mountainous watersheds needed to understand both hydrological and below ground biogeochemical processes. Such data serve as a critical constraint for numerical models describing coupled groundwater-surface water behavior within the watershed. Additionally, the offset between the maximum and minimum groundwater elevations defines the extent of the bedrock weathering zone, with annual excursions in the groundwater hydrographic (i.e., the rising and falling hydrographic limbs) imposing primary controls on bedrock saturation state and redox conditions that govern biogeochemical reactions impacting nitrogen, carbon, and metals cycling. Manufacturer-specific software is used to download pressure data from each transducer, with broadly available spreadsheet software (e.g. Microsoft Excel) used to convert temporal variations in water pressure to elevations in units of meters above mean sea level. As additional monitoring wells are installed within the East River watershed and new groundwater monitoring wells are installed in the Taylor River watershed, temporal groundwater elevation data will be included as a part of this master dataset. Details regarding the metadata associated with each monitoring well location, including well depths, screened intervals, well location coordinates, and bedrock type, are included, as is a standard operating procedure for generating groundwater elevation data from water pressure values recorded by the pressure transducers. This dataset includes: (1) a zip file (East_River_Watershed_Compiled_Groundwater_Elevation_Data_Plots.zip), containing (a) PNG of groundwater hydrographs, (b) a CSV file with groundwater elevation data, and (c) CSV file containing metadata organized by location; (2) an Excel file (East_River_Watershed_Compiled_Groundwater_Elevation_Data_Plots.xlsx) with the groundwater elevation data, groundwater hydrographs, and metadata organized by location; (3) a Word file (Groundwater_elevation_data_protocols.docx) and a PDF file version (Groundwater_elevation_data_protocols.pdf) containing field protocols and methods; (4) a location metadata (locations.csv) file; (5) a file level metadata (flmd.csv); and (6) data dictionary (dd.csv) file.This work was supported by the Watershed Function Science Focus Area at Lawrence Berkeley National Laboratory funded by the US Department of Energy, Office of Science, Biological and Environmental Research under Contract No. DE-AC02-05CH11231.},
doi = {10.15485/2575230},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 01 04:00:00 UTC 2025},
month = {Wed Jan 01 04:00:00 UTC 2025}
}
