Filters: partyWithName: Christopher P Konrad (X) > Categories: Data (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)
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Measures used to assess trends in the 10th, 50th, and 90th quantiles of annual peak streamflow from 1916-2015 at 2,683 U.S. Geological Survey stations and within 191 4-digit HUCs in the conterminous United States. Linear quantile regression was applied to the selected quantiles of log-transformed annual peak streamflow to represent trends for a range of flood frequencies from small, common floods to large, infrequent floods. Comparative trends in pairs of quantiles were characterized as coherent, convergent, or divergent by comparing the slopes of linear quantile regression equations.
This data release provides source code and an R workspace with functions comprising a non-linear baseflow separation model, calibrated values of parameters and estimates of the baseflow component of daily streamflow at selected streamflow gages. Parameter values were determined by calibration of the model. Estimates of the baseflow component include daily values and the total baseflow as a fraction of streamflow for the analysis period. The file 'run_bf_sep.zip' in the directory 'Nonlinear Baseflow Model Source Code, Functions, and Scripts" has a complete set of model functions, parameters for 13,208 USGS streamflow gages, and a script to run the model. Instructions and software requirements for running the model...
Categories: Data,
Data Release - Revised;
Tags: USGS Science Data Catalog (SDC),
United States,
baseflow,
hydrograph separation,
mathematical modeling,
The dataset has basin characteristics (drainage area, land use, and reservoir storage), parameters for a relation between streamflow and velocity, and travel time metrics at 100 gaged sites in the southeastern United States.
Categories: Data;
Tags: Hydrology,
Land Use Change,
USGS Science Data Catalog (SDC),
United States,
Water Quality,
Site-specific parameters for a non-linear baseflow separation model determined by automated calibration to maximize baseflow. The file "bf_param_usgs.csv" has parameter values for 13,208 sites where USGS operated a streamflow gage and calculated daily streamflow for at least 300 days from water year 1981 to 2020. The file "bf_param_wa_ecy.csv" has parameter values for 41 sites where the Washington Department of Ecology operated a streamflow gage from water year 1991 to 2019. The parameters may need to be re-calibrated at a site for some applications.
Categories: Data;
Tags: United States,
baseflow,
hydrograph separation,
mathematical modeling,
streamflow
Field survey of the longitudinal profile and off-channel habitats (side channels and alcoves) of the lower Cedar River from Landsburg to Renton, WA were conducted in 2010 and 2013 respectively. The longitudinal profile is provided as an ASCII text file with fields delimited by commas. Digital maps with the locations of off-channel habitats are provided as ArcGIS shapefiles.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aquatic Biology,
Cedar River, King County, Washington,
Geomorphology,
USGS Science Data Catalog (SDC),
Water Resources,
Daily estimates of baseflow derived from a non-linear, baseflow separation model. The file "baseflow_western_washington.csv" has daily baseflow estimates for 268 sites in western Washington for the period from water year 1981 to 2020 used for estimating groundwater recharge in lowland areas. The file "baseflow_rsqa.csv" has daily baseflow estimates for 462 sites that were sampled as part of the US Geological Survey Regional Stream Qualtiy Assessment (RSQA). Values are only provided for days when water samples were collected. Missing values indicate gaps in the streamflow record.
Categories: Data;
Tags: United States,
baseflow,
hydrograph separation,
mathematical modeling,
streamflow
This data release includes metrics from the Regional Stream Quality Assessment (RSQA) from the Southeast Region for habitat stressors related to water-quality and habitat substrate. The goals of RSQA are to characterize multiple water-quality factors that are stressors to aquatic life ‐ contaminants, nutrients, sediment, and streamflow alteration – and to develop a better understanding of the relation of these stressors to ecological conditions in streams throughout the region. In order to characterize water-quality variables and stream-habitat measurements as an aggregation of multiple measurements over a sampling period, and in support of ecological stressor modelling, metrics (summary statistics or indices) were...
This child page contains ancillary information that is referenced in the report but not included in the core files that are used by all regions. The one .csv file contains the KendallTau and p.value for each station in the Pacific Northwest.
Categories: Data
Measures used to assess the vulnerability of streamflow in 326 river basins to the 2015 drought in the western United States.
Pacific Northwest (PNW) Region. The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, is analyzing annual peak-flow data to determine if trends are present and provide attribution of trends where possible. This dataset contains four core comma separated values (csv) files (50-year monotonic, 75-year monotonic, 50-year change point, and 75-change point). Each of the four core csv files includes the USGS gage identifier, various statistical values, primary and secondary attribution, level of evidence, and comments/citations. The comments/citations column should include any sources, in addition to the statistical values in the csv, that were needed to decide...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Datasets,
Flooding,
Peak-flow,
Trends,
United States
The spatial framework for the network analysis is a set of stream segments with associated land areas that they drain and monitoring sites located on the segments. Segments are related to each other through simplified routing information where each segment has one primary downstream segment (convergent flow) or is a sink (no downstream unit). Divergent flow, where a segment has more than one downstream segment (distributaries, canals) is not permitted. The framework is based on medium resolution (1:100,000) National Hydrography Dataset segments and catchments as the spatial units for the contiguous United States (CONUS) and watersheds represented by 12-digit hydrologic unit codes as the spatial units for non-CONUS...
The USGS streamflow gaging network that was active in water year 2020 was analyzed for its coverage, resolution, and representation of geospatial variables indicating public interests. The priority areas to maintain or add gages for each variable were determined by applying standardized criteria to cumulative distributions of the variable for incremental gaged areas (IGAs) and for 12-digit hydrologic unit codes (HUC12) in the United States. Priorities are identified for two spatial scales: the United States and 4-digit hydrologic unit codes.
These data have been collected as part of a cooperative project between the U.S. Geological Survey (USGS) and the U.S Environmental Protection Agency. This project began in 2016 and consisted of a mesocosm experiment quantifying short term responses by a transplanted natural diatom dominant algae community exposed to gradients of nitrogen, phosphorous, and a mixture of both nitrogen and phosphorus. The data consist of water quality parameters such as temperature and pH as well as aqueous nutrient concentrations and algae responses, including chlorophyll a concentrations, algae dry mass, algae ash-free dry mass, and intra-cellular phosphorus and nitrogen in algae. Algae growth rates were estimated from these data...
These datasets have the area of NOAA climate divisions, lands managed by federal agencies, lands managed by Native American tribes by National Hydrography Dataset (NHD) catchments and NHD reaches designated as Wild and Scenic Rivers, listed a impaired for water quality, receiving major point-source discharges of wastewater, or having federal or tribal land adminstration.
Simulated daily baseflow was summed from water year 1981 to 2020 and divided by observed streamflow at 13,208 sites where US Geological Survey operated a streamflow gage and calculated daily streamflow for at least 300 days. Days with negative flows (tidal systems) are not included.
Categories: Data;
Tags: United States,
baseflow,
hydrograph separation,
mathematical modeling,
streamflow
Source code, an R workspace with functions comprising a non-linear baseflow separation model, and a complete set of files to run the model in a compressed file including a script that will demonstrate how to run the model.
Categories: Data;
Tags: United States,
baseflow,
hydrograph separation,
mathematical modeling,
streamflow
The USGS streamflow gaging network that was active in water year 2020 was analyzed with respect to its coverage, resolution, and representation of variables indicating national public interests in streamflow information. The variables used for the analysis are provided for incremental gaged areas (IGAs) and for 12-digit hydrologic unit codes (HUC12) in the United States where available. Plots of the cumulative distributions of the variables for the United States and the contiguous United States are provided as .png files.
Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9C8NYTO. This data release has components of an analysis of the coverage, resolution, and representation of national public interests in streamflow information by the USGS streamflow gaging network that was active in water year 2020. The workflow for the analysis is implemented as scripts and functions in the statistical programming language R. The spatial framework for the analysis is based on from the National Hydrography Dataset medium resolution (1:100,000) segments, 12-digit Hydrologic Unit from the Watershed Boundary Dataset, and sites where USGS operated a streamflow gage in Water Year 2020. The analysis...
Categories: Data;
Tags: Hydrology,
Information Sciences,
United States,
Water Quality,
Water Resources,
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