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The U.S. Geological Survey (USGS), in cooperation with the Harris-Galveston Subsidence District and Fort Bend Subsidence District, constructed a finite-difference numerical groundwater-flow model of the northern Gulf Coast aquifer region for 1897 through 2018 using MODFLOW 6 with the Newton formulation solver to simulate groundwater flow and land-surface subsidence. Model parameter estimation and uncertainty analysis were conducted with PEST++ Iterative Ensemble Smoother software. The simulated results are described in the associated U.S. Geological Survey Professional Paper 1877. The model archive provided in this U.S. Geological Survey data release includes all the necessary files to run the MODFLOW 6 model and...
Supporting datasets for the associated journal publication "Towards reproducible environmental modeling for decision support: a worked example". Includes source codes for the version of PEST++ and MODFLOW-2005 used, the pyEMU and FloPy python modules and the driver script "eaa.py". Also included are the existing MODFLOW-2005 models supplied the Edwards Aquifer Authority
The Soil Water Assessment Tool (SWAT) model was used to simulate the hydrologic response of a watershed in south-central Texas within the Honey Creek State Natural Area for the time period 2001 to 2010; the simulation was focused on simulating the hydrologic outcomes of brush management. Specifically a SWAT2012 (Arnold et al., 2012) model of the watershed was built using the ArcSWAT tool (Winchell et al., 2007). Included are the necessary files and processing scripts for users to recreate the Monte Carlo and global sensitivity analysis results presented in the publication. Note the actual outputs from the analyses are not included herein because of storage size limitations. The results of the SWAT modeling are presented...
The existing three-dimensional groundwater flow model (MODFLOW-2005) of the Mississippi Embayment Regional Aquifer system (MERAS), South-Central United States, was updated with: 1) higher stream density; 2) more spatially refined recharge; 3) better estimates of water use; 4) more recent time period simulated; 5) more realistic storage conceptualization; and 6) more robust handling of dry nodes through use of MODFLOW-NWT. For this study, the MODFLOW-NWT groundwater flow model was used to evaluate four parameter estimation algorithms with lower computational burdens. This work was performed to update the previous version of the MERAS groundwater flow model for decision making in the Mississippi Alluvial Plain (MAP),...
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.
We have developed pyEMU, a python framework for Environmental Modeling Uncertainty analyses, open-source tool that is non-intrusive, easy-to-use, computationally efficient, and scalable to highly-parameterized inverse problems. The framework implements several types of linear (first-order, second-moment (FOSM)) and non-linear uncertainty analyses. The FOSM-based analyses can also be completed prior to parameter estimation to help inform important modeling decisions, such as parameterization and objective function formulation. Complete workflows for several types of FOSM-based and non-linear analyses are documented in example notebooks implemented using Jupyter that are available in the online pyEMU repository. Example...
Categories: Software;
Types: Application,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service
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