Filters: Tags: streamflow (X) > partyWithName: U.S. Geological Survey (X)
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Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North Carolina (study area). Annual peak flows measured at U.S. Geological Survey streamgages were used to compute at-site flood-frequency estimates at those streamgages in the study area based on annual peak-flows records through 2017. Flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations. This model archive provides the inputs and outputs for (1) the at-site flood-frequency...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Florida,
Georgia,
Hydrology,
North Carolina,
This dataset contains files used in this Monte Carlo simulation study comparing the performance of five statistical models for adjusting design floods for current conditions at sites with known trends. These files include (i) the observed annual peak-flow series in the conterminous US used to inform ranges of known moments and trends used in the simulation experiment, (ii) the 3,000 combinations of Monte Carlo experiment parameters (including sample moments, trends, distribution types, and record lengths), (iii) the 5,000 100-year time series of random uniform variates used as annual non-exceedance probabilities in the generation of synthetic annual peak-flow series, (iv) the simulated and true (known) quantiles...
This data release contains bootstrap values of mean-annual total dissolved solids (TDS) loads predicted by a SPARROW model for individual stream reaches in the Upper Colorado River Basin watershed in the predict.txt file. Also included are the input variables required to execute the model, including dissolved solids sources, landscape characteristics, and calibration data from water quality monitoring stations in the input.txt file. Further details on model construction and results are described in Miller et al. (2017, https://doi.org/10.3133/sir20175009).
This dataset contains input parameter and data files, as well as output files for simulations prior to (pre-calibration) and after calibration (post-calibration) of streamflow parameters for nine near-native subbasins. Simulated and observed streamflow for nine near-native subbasins are included for parts of the Upper Rio Grande Basin in Colorado, New Mexico, Texas, and northern Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data include pre-calibration input parameters for the entire Upper Rio Grande Basin. Pre-calibrated parameters used as input to PRMS for step 2 are the post-calibration parameters in Step 1-Solar Radiation and Potential ET calibration. Post-calibration model parameters include...
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