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During water years 2016–2020, the U.S. Geological Survey, in cooperation with the Illinois Environmental Protection Agency, operated continuous monitoring stations on eight of the major rivers in Illinois to better quantify nutrient and sediment loadings from the State of Illinois to the Mississippi River. This data release presents estimates of daily nitrate, suspended sediment, and phosphorus concentrations and uncertainty from that period. The concentration estimates are based on a combination of discrete sampling data and surrogate regression (imputation). The data release comprises a single csv file containing daily timeseries of concentration and uncertainty for each monitoring station.
Categories: Data;
Tags: Hydrology,
Illinois,
USGS Science Data Catalog (SDC),
continuous monitoring,
nitrate,
The use of field-deployable fluorescence sensors to better understand dissolved organic matter concentrations and composition has grown immensely in recent years. Applications of these sensors to critical monitoring efforts have also grown to encompass post-fire monitoring, wastewater tracking, and use as a proxy for various contaminants. Despite the growth, it is well known that these sensors are subject to various interferences and require corrections for temperature, turbidity, and concentration effects. Although temperature corrections are widely applicable across sensors, the turbidity and concentration corrections can be site-specific and/or sensor-specific. The corrections can even be subject to changes in...
Categories: Data;
Tags: DOC,
USGS California Water Science Center,
USGS Science Data Catalog (SDC),
Water Quality,
biota,
Description of Work U.S. Geological Survey (USGS) scientists collect real-time, near-real-time, and synoptic flow and water-quality data (sediment and nutrients) from tributaries to the Great Lakes. The data provide baseline information to assess effectiveness of restoration and land management activities. Thirty of the 59 major downstream flow gages are continuously operating for water-quality samplings at these sites (number of sites reduced to 25 effective June 30, 2013). The work builds on current USGS monitoring efforts and those of partners in the Great Lakes. The results of this effort will provide information on nutrient and sediment loads and measure the effectiveness of restoration efforts in selected...
Categories: Project;
Tags: GLRI,
Great Lakes Restoration Initiative,
Great Lakes Restoration Initiative,
Nearshore Health,
Template 76,
Optical sensors measuring fluorescence of non-biological sources (e.g., dissolved organic matter, wastewater, hydrocarbons, fluorescent dyes, etc.; hereafter referred to as fDOM) are increasingly used in water quality studies because they provide proxy measurements for a variety of contaminants and constituents of concern including metals, wastewater effluent, and DOM (measured in the lab as dissolved organic carbon, (DOC)) concentrations. Similarly, sensors measuring biological (algal) fluorescence (hereafter referred to as chlorophyll (fChl) and phycocyanin (fPC), have gained popularity to measure phytoplankton concentration, biomass, and even primary productivity. As additional sensors are coupled with ongoing...
Categories: Data,
Data Release - Revised;
Tags: California,
California Water Science Center,
EXO YSI,
Organic Matter Research Laboratory,
Sacramento,
During the 2018–20 water years, the U.S. Geological Survey, in cooperation with the Metropolitan Water Reclamation District of Greater Chicago, operated a continuous monitoring station on the Des Plaines River at Route 53 at Joliet, Illinois (USGS station 05537980), to better quantify nutrient and sediment loadings from the Greater Chicago Area to the Illinois River. This data release presents estimates of daily nitrate, suspended sediment, and phosphorus concentrations and uncertainty from that period. The concentration estimates are based on a combination of discrete sampling, continuously monitored surrogates, and surrogate regression (Bayesian imputation). The data release comprises a single csv file containing...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Des Plaines River,
Illinois,
Joliet,
USGS Science Data Catalog (SDC),
Water Quality,
Note: this data release has been superseded by version 2.0, available here: https://doi.org/10.5066/P91LJNAU Optical sensors measuring fluorescent dissolved organic matter (fDOM) are increasingly being used in water quality studies because they provide proxy measurements for dissolved organic matter concentrations (DOC). Similarly, chlorophyll-a (chl-a) fluorescence sensors have gained popularity as a means to measure phytoplankton concentration, biomass, and even primary productivity using various approaches. As additional sensors are grouped for in situ monitoring, field calibration checks are becoming quite time consuming for even the basic set of sensors (i.e. pH, specific conductivity, turbidity) that require...
Categories: Data;
Tags: California,
California Water Science Center,
EXO YSI,
Organic Matter Research Laboratory,
Sacramento,
During water years 2016–2022 (a water year begins on October 1 and ends on September 30), the U.S. Geological Survey (USGS), in cooperation with the Illinois Environmental Protection Agency (Illinois EPA), operated continuous monitoring stations on eight of the major rivers in Illinois to better quantify nutrient and sediment loadings from the State of Illinois to the Mississippi River. This data release presents estimates of daily nitrate, phosphorus, and suspended sediment concentrations and uncertainty over that period. The concentration estimates are based on a combination of discrete sampling and surrogate regression (imputation); see Hodson and others (2021) for details on the imputation model. The data release...
Here, we present the results supporting Table 2 in Field Techniques for Fluorescence Measurements Targeting Dissolved Organic Matter, Hydrocarbons, and Wastewater in Environmental Waters: Principles and Guidelines for Instrument Selection, Operation and Maintenance, Quality Assurance, and Data Reporting. Table 2 shows comparisons from an Aqualog 800 benchtop fluorometer standardized to quinine sulfate equivalents (QSE) with excitation (ex) and emissions (em) equivalent to fluorescence of dissolved organic matter (fDOM) sensors from multiple manufacturers. Data are reported from two standard reference materials (SRM) and the mean, minimum, and maximum from 76 environmental samples. No replicates were collected for...
Categories: Data;
Tags: California,
California Water Science Center,
DOC,
Organic Matter Research Laboratory,
Sacramento,
Here, we present data supporting temporal variability and sources of PFAS in the Rio Grande through an arid urban area using high-frequency sampling and novel samplers. Data are compiled into two tables: 1) full fluorescence spectra in vectorized format, and 2) summary file of concentrations of total dissolved nitrogen and commonly extracted field-based sensor arrays. Data are reported from two sites at Rio Grande, New Mexico during a 24-hour collection period. Two field blanks, one field replicate, and two laboratory replicates are reported for 26 environmental samples.
Categories: Data;
Tags: California,
Organic Matter Research Lab,
Sacramento,
TDN,
USGS Science Data Catalog (SDC),
This data release documents water-quality data collected from April 2010 through December 2016 by the U.S. Geological Survey in cooperation with the San Antonio Water System from across the San Antonio segment of the Edwards aquifer with particular emphasis on nutrients and pesticides. Additional data regarding inorganic compounds and selected stable isotopes were obtained to provide a geochemical framework for characterizing source inputs and observed chemical changes during periods of hydrologic transition. Water-quality data were collected from surface-water and groundwater sites representing rural and urban land cover types. Data were obtained from unconfined wells in the recharge zone to characterize the rapid...
This data record contains questions and responses to a USGS-wide survey conducted to identify issues and needs associated with quality assurance and quality control (QA/QC) of USGS timeseries data streams. This research was funded by the USGS Community for Data Integration as part of a project titled “From reactive- to condition-based maintenance: Artificial intelligence for anomaly predictions and operational decision-making”. The poll targeted monitoring network managers and technicians and asked questions about operational data streams and timeseries data collection in order to identity opportunities to streamline data access, expedite the response to data quality issues, improve QA/QC procedures, reduce operations...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aquatic Biology,
Hydrology,
Information Sciences,
Puerto Rico,
USGS,
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