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The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Pacific Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Southwestern Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
Categories: Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arizona,
California,
Colorado,
Hydrology,
Idaho,
This dataset contains tabular data for U.S. Environmental Protection Agency’s (EPA) Clean Watersheds Needs Survey (CWNS) wastewater treatment facility information. Literature-based average total nitrogen and total phosphorous concentrations were substituted for wastewater treatment levels reported for each facility because little or no concentration data is reported in the CWNS. Concentrations were based on the treatment levels of raw, primary, secondary, and advanced. Concentration and effluent flow-value data gaps were ‘filled in’ through simple linear assumptions, based on each facility’s responses to the survey in years bracketing the data gap or were based on an un-bracketed single year survey response. Unlike...
Categories: Data;
Tags: Environmental Health,
USGS Science Data Catalog (SDC),
United States of America,
Water Resources,
nutrient loads,
Total Nitrogen (TN) rloadest models were developed to compute TN flux at School Branch at three USGS monitoring stations: School Branch at Maloney Road near Brownsburg, Indiana (03353415); School Branch at CR750N at Brownsburg, Indiana (03353420); and School Branch at Noble Drive at Brownsburg, Indiana (03353430). Frequently, TN models developed in rloadest regress discrete TN concentrations against concurrent daily mean streamflow values. However, due to the flashy nature of streamflows on School Branch, the developed TN models regressed discrete TN concentrations against the closest unit-value (15-minute) streamflows. Once TN flux models were calibrated, unit-value streamflows were used to estimate average TN...
This data release contains the calibration data set and R code used to create regression models for estimating daily loads of suspended sediment, total nitrogen, and total phosphorus at the Iroquois River near Foresman, Indiana streamgage (05524500). The USGS R software package, rloadest, was used to develop the regression models and estimate loads. The models were developed using discrete water-quality data and concurrent daily streamflow data measured/determined at the streamgage for the period April 2015 through July 2018. Also included in this data release is the input data set of daily streamflow data and the daily load output data sets that were produced by the regression models. Summary information for the...
The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Northeast Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
The U.S. Geological Survey’s SPAtially Referenced Regression On Watershed attributes (SPARROW) for the Southeastern United States was used to simulate changes in total nitrogen, total phosphorus and suspended sediment load in streams under two scenarios: (1) where all forests are urbanized and (2) where all forests are urbanized and runoff is adjusted based on a non-forested landscape. This data release includes model input not published with the original model and used for scenario simulations, and model output for total nitrogen, total phosphorus, and suspended sediment under baseline conditions, scenario (1), and scenario (2). Original model input, output, and shapefiles are available (Roland and Hoos, 2020,...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Florida,
Georgia,
Hydrology,
Land Use Change,
The U.S. Geological Survey’s (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Midwest Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
The U.S. Geological Survey’s (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was developed to aid in the interpretation of monitoring data and simulate water-quality conditions in streams across the Midcontinental Region of Canada and the Unites States. SPARROW is a hybrid empirical⁄process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Southeast Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
This data release contains input and output data tables from a SPAtially Referenced Regression On Watershed attributes (SPARROW) model, which estimated total nitrogen loads in streams of the Chesapeake Bay watershed under varying better management practice implementation scenarios. Further documentation about the SPARROW modeling framework can be found here: https://pubs.er.usgs.gov/publication/tm6B3. A model archive containing inputs, outputs, code, and helpful spatial data is also included as a zipped folder. This model archive can be used to recreate the output provided in this data release. The model archive includes a read me text file that documents the contents of the archive and how it can be used. SPARROW_Inputs.csv...
NOTE: This data release has been deprecated. There is an updated version available here: https://doi.org/10.5066/P94EKLPP. The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Southwestern Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing...
This data release contains data sets and R code used to create regression models for estimating daily flux of suspended sediment, total nitrogen, and total phosphorus at the Kankakee River at Shelby, IN (05518000) streamgage. The models were developed using discrete water-quality data and concurrent daily streamflow data measured/determined at the streamgage for the period January 2016 through May 2018. Also, included is a daily streamflow input data set and daily flux output data sets that were developed by application of the regression models. The USGS rloadest package was used to develop the regression models and flux estimates. Summary information for the models for each constituent are included in this data...
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