Filters: Tags: Statistical Analysis (X) > Categories: Data Release - Revised (X)
6 results (9ms)|
Filters
Date Range
Types Contacts
Categories Tag Types Tag Schemes |
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 data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Water Model Retrospective (v2.1) at streamflow benchmark locations defined by Foks and others (2022). Modeled hourly timesteps were converted to mean daily timesteps. Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow using various statistics; the Nash-Sutcliffe efficiency (NSE), the Kling-Gupta efficiency (KGE), the logNSE, the Pearson correlation coefficient, the Spearman correlation coefficient, the ratio of the standard deviation, the percent bias, the percent bias in flow duration curve midsegment slope, the percent...
For more than 100 years, the Permian Basin has been an important source of oil and gas produced from conventional reservoirs; directional drilling combined with hydraulic fracturing has greatly increased production in the past 10 years to the extent that the Permian Basin is becoming one of the world’s largest continuous oil and gas (COG) producing fields (U.S. Energy Information Administration, 2020). These recent techniques extract oil and gas by directionally drilling and hydraulically fracturing the surrounding reservoir rock. The extraction of COG by using these techniques requires large volumes of water and estimates of the total water volume used in COG require a comprehensive assessment to determine the...
Categories: Data Release - Revised;
Tags: New Mexico,
Permian Basin,
Texas,
USGS Science Data Catalog (SDC),
computational methods,
The U.S. Geological Survey (USGS), in cooperation with the Kootenai Tribe of Idaho, used streamflow measurements at 14 partial-record sites and related them to nearby USGS real-time streamgages (index sites) to provide daily mean streamflow values at ungaged (partial-record) sites. Daily mean streamflow was estimated by developing a regression relationship between streamflow at each partial-record site and the index site for the period of record of the index site. The daily mean streamflow at partial-record sites will support the Kootenai Tribe of Idaho effort to understand fish and wildlife habitat in the watershed and provide streamflow estimates for Kootenai River tributaries for use in hydraulic modeling that...
Categories: Data,
Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Boundary,
Idaho,
Kootenai,
Kootenai-Pend Oreille-Spokane,
Land,
This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Hydrologic Model Infrastructure application of the Precipitation-Runoff Modeling System (NHM-PRMS) version 1 "byObs" calibration with Muskingum routing computed at streamflow benchmark locations defined by Foks and others (2022). Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow using various statistics; the Nash-Sutcliffe efficiency (NSE), the Kling-Gupta efficiency (KGE), the logNSE, the Pearson correlation coefficient, the Spearman correlation coefficient, the ratio of the standard deviation, the percent bias, the percent...
|
|
