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This U.S. Geological Survey (USGS) data release provides the data used to predict areas with the greatest probability of ephemeral stream channel instability on north side of the Grand Valley in western Colorado, during 2018-20. The USGS developed a method for automatically extracting channel cross-section geometry from existing remotely sensed terrain models. Based on estimated flood stage and surrogate streamflows, hydraulic characteristics were calculated. The channel geometries and hydraulic characteristics were used to estimate channel stability using a statistical model. Cross-section stabilities were determined from a stream channel stability assessment for a subset of 1,406 visited (field observed) locations...
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The Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST Warner and others, 2019; Warner and others, 2010) model was used to simulate three-dimensional hydrodynamics and waves to study salinity intrusion in the Delaware Bay estuary for 2016, 2018, 2021. Salinity intrusion in coastal systems is due in part to extreme events like drought or low-pressure storms and longer-term sea level rise, threatening economic infrastructure and ecological health. Along the eastern seaboard of the United States, approximately 13 million people rely on the water resources of the Delaware River basin, which is actively managed to suppress the salt front (or ~0.52 daily averaged psu line) through river discharge targets. However,...
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The Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST Warner and others, 2019; Warner and others, 2010) model was used to simulate three-dimensional hydrodynamics and waves to study salinity intrusion in the Delaware Bay estuary for 2019. Salinity intrusion in coastal systems is due in part to extreme events like drought or low-pressure storms and longer-term sea level rise, threatening economic infrastructure and ecological health. Along the eastern seaboard of the United States, approximately 13 million people rely on the water resources of the Delaware River basin, which is actively managed to suppress the salt front (or ~0.52 daily averaged psu line) through river discharge targets. However, river discharge...
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Results from Generalized Additive models (GAM), Random Forest models (RFM), and Cubist models (CUB) for three Dauphin Island Sealab (DIS) operated salinity sites in Mobile Bay are reported in this data release. These sites included Meaher Park (DIS:MHPA1), Middle Bay Lighthouse (DIS:MBLA1), and Dauphin Island (DIS:DPIA1). The constructed models predicted a 40-year daily salinity record from 1980 to 2021 at each site based on incomplete imputed salinity records and several explanatory variables. Explanatory variables included: daily streamflow from 8 United States Geological Survey (USGS) streamgages, daily minimum and maximum temperature, precipitation, vapor pressure, wind speed, wind direction, horizontal and...
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This data release contains three sets of estimated values at selected sites within the Colorado River Basin: 1) daily specific conductance at 143 sites in the Upper Basin and 3 sites in the Lower Basin (WY 1980-2022); 2) daily baseflow discharge at 100 sites in the Upper Basin and 3 sites in the Lower Basin (WY 1980-2022); and 3) seasonal baseflow discharge and baseflow dissolved solids load at 143 sites in the Upper Basin (WY 1986-2020). The estimates of daily baseflow discharge will be used as input to an application of the USGS GSFLOW model, which is a coupled groundwater and surface-water flow model based on the integration of the USGS Precipitation-Runoff Modeling System (PRMS-V) and the USGS Modular Groundwater...
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This data release provides water-quality trends for rivers and streams in the Delaware River Basin determined using the Weighted Regressions on Time, Discharge, and Season (WRTDS) model and the Seasonal Kendall Trend (SKT) test. Sixteen water-quality parameters were assessed, including nutrients (ammonia, nitrate, filtered orthophosphate, total nitrogen, total phosphorus, and unfiltered orthophosphate), major ions (calcium, chloride, magnesium, potassium, sodium, and sulfate), salinity indicators (total dissolved solids and specific conductance), and sediment (total suspended solids and suspended sediment concentration). The child items include the input and output data used in the modeling and testing of water-quality...
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Salinity dynamics in the Delaware Bay estuary are a critical water quality concern as elevated salinity can damage infrastructure and threaten drinking water supplies. Current state-of-the-art modeling approaches use hydrodynamic models, which can produce accurate results but are limited by significant computational costs. We developed a machine learning (ML) model to predict the 250 mg/L Cl- isochlor, also known as the salt front, using daily river discharge, meteorological drivers, and tidal water level data. We use the ML model to predict the location of the salt front, measured in river miles (RM) along the Delaware River, during the period 2001-2020, and we compare the ML model results to results from the hydrodynamic...


    map background search result map search result map Water-quality trends for rivers and streams in the Delaware River Basin using Weighted Regressions on Time, Discharge, and Season (WRTDS) models, Seasonal Kendall Trend (SKT) tests, and multisource data, Water Year 1978-2018 U.S. Geological Survey simulations of 3D-hydrodynamics in Delaware Bay (2019) to improve understanding of the mechanisms driving salinity intrusion U.S. Geological Survey simulations of 3D-hydrodynamics in Delaware Bay (2016, 2018, 2021) to improve understanding of the mechanisms driving salinity intrusion A deep learning model and associated data to support understanding and simulation of salinity dynamics in Delaware Bay Modeled daily salinity derived from multiple machine learning methodologies and Generalized Additive models for three salinity monitoring sites in Mobile Bay, northern Gulf of Mexico, 1980–2021 Daily baseflow specific conductance, daily baseflow discharge, and seasonal baseflow discharge and baseflow dissolved solids loads at selected sites within the Colorado River Basin for water years 1980 – 2022 Ephemeral Stream Channel Stability Data from the Grand Valley, Western Colorado, 2018-21 Water Temperature, Electrical Conductivity, and Salinity of Lagoons in the Beaufort Sea, Alaska, 2017-2019 Ephemeral Stream Channel Stability Data from the Grand Valley, Western Colorado, 2018-21 Modeled daily salinity derived from multiple machine learning methodologies and Generalized Additive models for three salinity monitoring sites in Mobile Bay, northern Gulf of Mexico, 1980–2021 U.S. Geological Survey simulations of 3D-hydrodynamics in Delaware Bay (2019) to improve understanding of the mechanisms driving salinity intrusion Water Temperature, Electrical Conductivity, and Salinity of Lagoons in the Beaufort Sea, Alaska, 2017-2019 A deep learning model and associated data to support understanding and simulation of salinity dynamics in Delaware Bay Water-quality trends for rivers and streams in the Delaware River Basin using Weighted Regressions on Time, Discharge, and Season (WRTDS) models, Seasonal Kendall Trend (SKT) tests, and multisource data, Water Year 1978-2018 Daily baseflow specific conductance, daily baseflow discharge, and seasonal baseflow discharge and baseflow dissolved solids loads at selected sites within the Colorado River Basin for water years 1980 – 2022