Filters: Tags: regression analysis (X)
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Generalized least squares (GLS) techniques were used with at-site statistics, from PeakFQ, and drainage area for streamgages in Puerto Rico to calculate regional regression equations for ungaged locations. The GLS approach assigns weights based on uncertainty of the observations (ie. record length and variance) and accounts for correlated streamflows and time-sampling errors (Farmer and others, 2019). Two separate regions were defined for the use of these equations to minimize residuals, and performance metrics from WREG were analyzed to determine drainage area as the only explanatory variable provided the best results. Values for the correlation smoothing function in region 1 were alpha equal to 0.006 and theta...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Puerto Rico,
drainage basin,
floods,
regression analysis,
river discharge,
This dataset is a compilation of 125 site years of data collected between 2004-2017 from 26 agricultural fields (2-17 ha) in Minnesota and Wisconsin, representing 13 environmental and seven management factors. Each field was continually monitored for snowmelt and storm event surface runoff volume and phosphorus (P) concentrations. Event data were compiled to calculate both P loads and flow-weighted mean P concentrations during frozen and non-frozen conditions each year. This dataset consists of qualitative information (such as agricultural landuse types, crop rotation information, and soil classifications) and quantitative information (measurements of precipitation and runoff, calculation of P yield).
Categories: Data;
Tags: Blue Earth County,
Chisago County,
Dodge County,
Goodhue County,
Iowa County,
This USGS data release presents Model Archive Summaries (MAS) and tabular calibration data used to develop surrogate regressions to estimate fine sediment particles flowing into Lake Tahoe. Fine sediment particles in the size range of 0.5 to 16.0 micrometers (μm) represent the primary size range of suspended sediment responsible for clarity reduction in Lake Tahoe. Models will be used to create estimates of tributary fine sediment particles flowing into Lake Tahoe and to better understand the linkage of annual sediment loads and lake clarity. Surrogate regression models were developed for site-specific monitoring locations within the Lake Tahoe Interagency Monitoring Program (LTIMP) and archived individually as...
This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Schoharie Creek at Burtonsville, New York (U.S. Geological Survey station number 01351500). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. 4 (Rasmussen and others, 2009). Sixty-one concurrent measurements of SSC and turbidity, collected from October 1, 2015, through May 2, 2020, were used in the model calibration dataset. Samples were collected across 75 percent of the range in observed discharge and 87 percent of the range in observed turbidity during the model calibration...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: New York State,
Schenectady County,
Schoharie Creek,
Sediment,
Water Quality,
This data release contains estimates of annual nitrogen and phosphorus loads, as well as loads of other constituents, from sites in the Illinois Environmental Protection Agency (Illinois EPA) Ambient Water Quality Monitoring Network. The loads were estimated using Weighted Regressions on Time, Discharge, and Season with Kalman filtering (WRTDS-K) and existing discrete water-quality data and discharge data collected by Illinois EPA, the U.S. Geological Survey, and Illinois State Water Survey from water year 1976 to 2021 (Hirsch and others, 2015; Lee and others, 2019). All water-quality and discharge data used in this work are available from the Water Quality Portal and the National Water Information System database...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ambient Water Quality Monitoring Network,
Illinois,
USGS Science Data Catalog (SDC),
Water Quality,
nitrate,
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