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Continuous water quality data from the Pecos River above Santa Rosa Reservoir, New Mexico, USA, 2020-ongoing
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Created: | Sep 18, 2024 at 9:45 p.m. | |
Last updated: | Sep 19, 2024 at 6:13 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Abstract
This data resource contains continuous water quality measurements (water temperature, specific conductance, turbidity, pH, dissolved oxygen) from the Pecos River upstream of the Santa Rosa Reservoir in northern New Mexico, USA. These data support the U.S. Army Corps of Engineers (USACE) Albuquerque District Reservoir Operations by quantifying the delivery of sediment to Santa Rosa Reservoir as well as impacts of the reservoir on sediment retention and water quality. This site is located ~2.3 km downstream of the U.S. Geological Survey (USGS) site named “Pecos River Above Santa Rosa Lake, NM (08382650)." Data were collected using a YSI EXO3 sonde, deployed in an ~8’ aluminum casing bolted to a boulder and connected to a Campbell Scientific CR300 datalogger powered by a photovoltaic system. Data collection is ongoing, with this release spanning July 20, 2020 through June 30, 2024.
Subject Keywords
Coverage
Spatial
Temporal
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Content
README.md
Pecos River above Santa Rosa Reservoir, New Mexico, USA
Files
README.md
: this fileUSACE-RES_Pecos-above-Santa-Rosa_level0-raw_20200720-20240630.csv
: raw data (level 0)USACE-RES_Pecos-above-Santa-Rosa_level1-qaqc_20200720-20240630.csv
: processed data (level 1; refer to methods for further details)
Variables
timestamp
: ISO 8601 formatted date and time in Mountain Standard Time (UTC-07:00)DO_mgL
: dissolved oxygen in milligrams per liter (mg/L)pH
: pH, unitlessspCond_uScm
: specific conductance in microSiemens per centimeter (μS/cm)turb_FNU
: turbidity in Formazin Nephelometric Units (FNU)temp_degC
: water temperature in degrees Celsius (°C)discharge
: stream discharge measured at U.S. Geological Survey (USGS) gage “Pecos River Above Santa Rosa Lake, NM (08382650)"
Methods
Site Selection
Study sites were chosen to 1) maximize data quality and continuity, 2) provide instrument stability/safety from storm events and vandalism, and 3) allow for safe access for servicing over the full range of the hydrograph (Jones et al. 2017). Where possible, sites were located in geomorphically constrained stream reaches where flow is continuous and stream depth is stable and permits sampling over a wide range of stream discharge. Additionally, we preferentially selected sites with either natural (e.g., rock outcrops) or man-made (e.g., bridge pilings) permanent structures for affixing instrument housings. Where no permanent structures were available, we selected sites with stable riverbanks and profiles. Sites were chosen to be safely accessible at a wide range of river discharges and, when possible, to not require entering the water to access the instrument. Finally, permitting and access issues were considered when selecting sites, with preference given to sites on lands managed by the U.S. Army Corps of Engineers or other federal agencies. At each reservoir examined in this study, an upstream reference site and a downstream impacted site were selected for instrumentation. The upstream site was located as close to the inlet of the reservoir as possible, while avoiding sites that become inundated at high pool levels. The location of the downstream site was located as close to the outfall of the reservoirs as possible to assess the immediate downstream effects of the impoundment on water quality.
Instrument Installation
Instruments are housed in perforated aluminum or stainless-steel enclosures partially submerged in the river. Enclosures have a locking lid system that prevents vandalism and theft of the instruments, and where possible, the lid is notched to permit a cable to connect the instrument with a fiberglass enclosure that houses a battery, datalogger, and telemetry system. The cable provides power for the instrument and transmits data from the instrument to the datalogger. The datalogger contains an integrated cellular modem that transmits data to a server at the University of New Mexico. The battery in the datalogger enclosure is connected to a 20 watt solar panel via a charge controller, and powers the water quality instrument, datalogger, and telemetry system. Where permanent structures are available, enclosures are bolted or banded directly to a rock face, cement structure, or bridge piling. At sites without permanent structures, a piece of 4” angle iron is driven into the streambed at an angle to serve as the primary support for the instrument casing, with vertical and angled supports providing additional stability. The instrument casing is clamped to the primary support.
Data Acquisition
Foundational water quality parameters including dissolved oxygen (DO), temperature, specific conductance, pH, and turbidity data are collected at 15-minute intervals using Yellow Springs Instruments EXO multi-parameter sondes (YSI Inc./Xylem Inc., Yellow Springs, OH, U.S.A.). These instruments have been found to be robust and provide high quality data in highly turbid and dynamic river systems. Site visits are made at two to four week intervals to clean and calibrate the sondes following USGS standard operating procedures (Wagner et al. 2006). Briefly, equipment is cleaned and calibrated using laboratory-quality conductance, pH, and turbidity standards. Dissolved oxygen is calibrated in water-saturated air. Thermistors for temperature measurements are stable and do not require routine calibration. Batteries in the sondes are replaced when voltage falls below the manufacturer determined threshold. Readings before cleaning, after cleaning, and after calibration are taken alongside a laboratory calibrated comparison sonde to determine fouling drift and/or calibration drift.
Data Processing
All water quality data are quality controlled and quality assured (QA/QC'd) using Aquarius Workstation 3.3 (Aquatic Informatics, Vancouver, British Columbia, Canada) and graded according to USGS ratings for accuracy (Wagner et al. 2006). Suspect data are identified, and outliers and out of range data are be removed. Data are also corrected for fouling and calibration drift. This resource includes both raw (level 0) and QA/QC'd (level 1) data.
References
- Jones AS, Aanderud ZT, Horsburgh JS, Eiriksson DP, Dastrup D, Cox C, Jones SB, Bowling DR, Carlisle J, Carling GT, and Baker MA. 2017. Designing and implementing a network for sensing water quality and hydrology across mountain to urban transitions. Journal of the American Water Resources Association (JAWRA) 53:1095-1120. https://doi.org/10.1111/1752-1688.12557
- Wagner RJ, Boulger RW, Oblinger CJ, and Smith BA. 2006. Guidelines and standard procedures for continuous water-quality monitors: Site selection, field operation, calibration, record computation, and reporting. U.S. Geological Survey Techniques and Methods 1–D3. https://doi.org/10.3133/tm1D3
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Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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Albuquerque District, U.S. Army Corps of Engineers | Using high-frequency sensors to assess water quality trends and suspended sediment surrogates above and below reservoirs in New Mexico and Southern Colorado | SOI W81EWF-20-SOI-0002 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
Name | Organization | Address | Phone | Author Identifiers |
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Micael T. Albonico | U.S. Army Corps of Engineers |
How to Cite
This data package is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0; http://creativecommons.org/licenses/by/4.0/) which allows consumers (hereinafter referred to as "Data Users") to freely reuse, redistribute, transform, or build upon this work (even commercially) so long as appropriate credit is provided. Accordingly, Data Users are required to properly cite this data package in any publications or in the metadata of any derived products that result from its use (in whole or in part). A generic citation may be found on the summary metadata page in the repository where this data package was obtained. This data package has been released in the spirit of open scientific collaboration. Hence, Data Users are strongly encouraged to consider consultation, collaboration, and/or co-authorship (as appropriate) with the data package creator(s). Data Users should be aware these data may be actively used by others for ongoing research; thus, coordination may be necessary to prevent duplicate publication. Data Users should also recognize that there is context associated with every study, and that the data creator(s) understand this context best. As a best practice, Data Users are urged to contact the data package creator(s) if they have any questions regarding methodology or results. In addition, it is strongly recommended to include the data creator(s) in any analysis to ensure proper interpretation and use of the data. While substantial efforts are made to ensure the accuracy of this data package (with all its components), complete accuracy cannot be guaranteed. Periodic updates to this data package may occur, and it is the responsibility of Data Users to check for new versions. This data package is made available "as is" and comes with no warranty of accuracy or fitness for use. The creator(s) of this data package and the repository where these data were obtained shall not be liable for any damages resulting from misinterpretation, use, or misuse of these data. Finally, as a professional courtesy, we kindly request Data Users notify the primary contact referenced in the metadata when these data are used in the production of any derivative work or publication. Notification should include an explanation of how the data were used, along with a digital copy of the derived product(s). Thank you.
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