Filters: partyWithName: William H Farmer (X) > partyWithName: Water Resources (X) > Types: Citation (X)

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Water-quality trends and trend component estimates for the Nation's rivers and streams using Weighted Regressions on Time, Discharge, and Season (WRTDS) models and generalized flow normalization, 1972-2012 Nonstationary streamflow due to environmental and human-induced causes can affect water quality over time, yet these effects are poorly accounted for in water-quality trend models. This data release provides instream water-quality trends and estimates of two components of change, for sites across the Nation previously presented in Oelsner et al. (2017). We used previously calibrated Weighted Regressions on Time, Discharge, and Season (WRTDS) models published in De Cicco et al. (2017) to estimate instream water-quality trends and associated uncertainties with the generalized flow normalization procedure available in EGRET version 3.0 (Hirsch et al., 2018a) and EGRETci version 2.0 (Hirsch et al., 2018b). The procedure... Categories: Data; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Contiguous United States and Puerto Rico, USGS Science Data Catalog (SDC), United States, biota, carbon, All tags... concentration, loads (fluxes), major ions, nutrients, rivers, salinity, sediment, streams, surface water quality, water-quality trends, Fewer tags GIS Features Used With the Precipitation Runoff Modeling System for Hydrologic Simulations of the Southeastern United States The hydrologic response units (HRUs) and stream segments available here are for an application of the Precipitation Runoff Modeling System (PRMS) in the southeastern United States by LaFontaine and others (2019). Geographic Information System (GIS) files for the HRUs and stream segments are provided as shapefiles with attribute hru_id_1 identifying the HRU numbering convention used in the PRMS model and seg_id_gcp identifying the stream segment numbering convention used in the PRMS model. This GIS files represent the watershed area for an approximately 1.16 million square kilometer area of the southeastern United States. A total of 20,251 HRUs and 10,742 stream segments are used in this modeling application. LaFontaine,... Types: Citation; Tags: United States, biota, model, streamflow, streamflow modeling Characterizing uncertainty in daily streamflow estimates at ungauged locations in support of the Massachusetts Sustainable Yield Estimator: Data release This data set archives all inputs, outputs and scripts needed to reproduce the findings of W.H. Farmer and S. Levin in the 2017 Journal of the American Water Resources Association article entitled “Characterizing Uncertainty in Daily Streamflow Estimates at Ungauged Locations in Support of the Massachusetts Sustainable Yield Estimator”. Input data includes observed streamflow values, in cubic feet per second, for 66 streamgages in and around Massachusetts from 01 October 1960 through 30 September 2004. Cross-validated streamflows, in cubic feet per second, and estimated correlations are included for all basin pairs as archived by Archfield et al. (2010; USGS SIR 2009–5227). Comma-separated-values files contain output... Categories: Data; Types: Citation; Tags: Massachusetts, New England, USGS Science Data Catalog (SDC), Water Resources, streamflow modeling 7Q10 records and basin characteristics for 224 basins in South Carolina, Georgia, and Alabama (2015) This data release provides the data and R scripts used for the 2018 publication titled "Improving predictions of hydrological low-flow indices in ungaged basins using machine learning", Environmental Modeling and Software, https://doi.org/10.1016/j.envsoft.2017.12.021.. There are two .csv files and 14 R-scripts included below. The lowflow_sc_ga_al_gagesII_2015.csv datafile contains the annual minimum seven-day mean streamflow with an annual exceedance probability of 90% (7Q10) for 224 basins in South Carolina, Georgia, and Alabama. The datafile also contains 231 basin characteristics from the Gages II dataset (https://water.usgs.gov/lookup/getspatial?gagesII_Sept2011). The "all_preds.csv" file contains the leave-one-out... Categories: Data; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alabama, Georgia, Hydrogeology, South Carolina, USGS Science Data Catalog (SDC), All tags... Water Resources, low-flow, machine learning, regionalization, statistical modeling, streamflow, Fewer tags