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Parameter Estimation, Uncertainty Analysis, and Optimization with the PEST++ Family of codes: Tutorial Jupyter Notebooks Parameter Estimation, Uncertainty Analysis, and Optimization with the PEST++ Family of codes: Tutorial Jupyter Notebooks
A series of Jupyter notebooks documenting a self-guided, interactive curriculum for the PEST++ family of software codes for uncertainty analysis, parameter estimation, and management optimization. For a currently maintained version of these materials, please visit https://github.com/gmdsi/GMDSI_notebooks.
Pass Chaland to Grand Bayou Pass Barrier Shoreline Restoration (BA-35): 2016 habitat classification Pass Chaland to Grand Bayou Pass Barrier Shoreline Restoration (BA-35): 2016 habitat classification
The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana's Coastal Protection and Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring (SWAMP) program. The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands...
Passive flux meter data from monitoring wells and sentinel wells in relation to the Kirtland Air Force Base Bulk Fuels Facility, Albuquerque, New Mexico Passive flux meter data from monitoring wells and sentinel wells in relation to the Kirtland Air Force Base Bulk Fuels Facility, Albuquerque, New Mexico
This U.S. Geological Survey (USGS) data release contains push-pull test results, Darcy velocity data, and contaminant mass flux data measured in Albuquerque, New Mexico, using passive flux meters (PFMs) in monitoring and sentinel wells associated with the Kirtland Air Force Base (KAFB) Bulk Fuels Facility (BFF). Push-pull test results were used to correct Darcy velocity data collected at...
Passive flux meter data from monitoring wells and sentinel wells in relation to the Kirtland Air Force Base Bulk Fuels Facility, Albuquerque, New Mexico Passive flux meter data from monitoring wells and sentinel wells in relation to the Kirtland Air Force Base Bulk Fuels Facility, Albuquerque, New Mexico
Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9XFOLMH This U.S. Geological Survey (USGS) data release contains push-pull test results, Darcy velocity data, and contaminant mass flux data measured in Albuquerque, New Mexico, using passive flux meters (PFMs) in monitoring and sentinel wells associated with the Kirtland Air Force...
Passive seismic (HVSR) data from Fountain Creek, CO Passive seismic (HVSR) data from Fountain Creek, CO
A total of 119 passive seismic soundings were collected with Tromino (MoHo s.r.l.) 3-axis seismometers in the Fountain Creek area to partially refine alluvial aquifer thickness (depth to bedrock) estimates, particularly over known or suspected paleochannels. Data were collected during June 21-24, 2021 with a team of 4-5 people, each equipped with a Tromino Blu or Tromino 3G passive...
Passive seismic data collected along headwater stream corridors in Shenandoah National Park in 2016 - 2020 Passive seismic data collected along headwater stream corridors in Shenandoah National Park in 2016 - 2020
In July 2016, July 2019, and March 2020, 318 seismic recordings were acquired at locations within Shenandoah National Park, Virginia, using MOHO Tromino Model TEP-3C three-component seismometers to assess depth to bedrock using the HVSR method. This method requires a measurement of estimate of shear wave velocity, which depends on the regolith sediment composition and density, for the...
Passive Seismic Horizontal-to-Vertical Spectral Ratio Measurements at Transportation Infrastructure Sites in New Hampshire, 2022 Passive Seismic Horizontal-to-Vertical Spectral Ratio Measurements at Transportation Infrastructure Sites in New Hampshire, 2022
In 2022, the U.S. Geological Survey (USGS) in cooperation with the New Hampshire Department of Transportation (NHDOT) made 107 horizontal-to-vertical spectral ratio (HVSR) passive seismic geophysical measurements at four transportation infrastructure sites in New Hampshire to determine the benefits of HVSR as an enhancement to traditional geotechnical site characterizations performed by...
Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, part 2 Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, part 2
The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for...
Peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 Peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021
The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for...
Peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021
The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for...
Peak-flow frequency analysis for seven selected U.S. Geological Survey streamgages in the Floyd and Little Sioux River Basins, Iowa, based on data through water year 2019 Peak-flow frequency analysis for seven selected U.S. Geological Survey streamgages in the Floyd and Little Sioux River Basins, Iowa, based on data through water year 2019
This data release presents peak-flow frequency analyses by the U.S. Geological Survey based on methods described by Eash and others (2013) for streamgages 06600100, Floyd River at Alton, Iowa; 06600300, West Branch Floyd River near Struble, Iowa; 06600500, Floyd River near James, Iowa; 06605000, Ocheyedan River near Spencer, Iowa; 06605850, Little Sioux River at Linn Grove, Iowa...
Peak-flow frequency analysis for U.S. Geological Survey streamgage 05465500 Iowa River at Wapello, Iowa, based on data through water year 2021 Peak-flow frequency analysis for U.S. Geological Survey streamgage 05465500 Iowa River at Wapello, Iowa, based on data through water year 2021
This data release presents a peak-flow frequency analysis (Eash and others, 2013) for U.S. Geological Survey streamgage 05465500 Iowa River at Wapello, Iowa. These methods are used to provide estimates of peak-flow quantiles corresponding to the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs). Annual peak-flow data used in the peak-flow frequency...