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Folders: ROOT > ScienceBase Catalog > USGS Lower Mississippi-Gulf Water Science Center > @ Mississippi Alluvial Plain (MAP) Regional Water-Availability Study > Economics, Groundwater Modeling, and Decision Support ( Show direct descendants )

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__USGS Lower Mississippi-Gulf Water Science Center
___@ Mississippi Alluvial Plain (MAP) Regional Water-Availability Study
____Economics, Groundwater Modeling, and Decision Support
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This model archive contains the model files for the MERAS 3 and Mississippi Delta groundwater flow models documented in the U.S. Geological Survey Scientific Investigations Report 2023-5100. The MERAS 3 model provides a simplified representation of groundwater flow in the Mississippi Embayment Regional Aquifer Study (MERAS) area for the period of 1900 through 2018, with the primary goal of providing boundary fluxes for inset models focused on local areas of interest. The Mississippi Delta model simulates groundwater flow in the Delta region of northwestern Mississippi from 1900 through 2018, using boundary fluxes from the MERAS 3 model. A scenario version of the Mississippi Delta model extends the simulation to...
USGS-MAP-gwmodels provides a single code base for preprocessing input data to the USGS Mississippi Alluvial Plain (MAP) project groundwater models. Input data are derived from other components within the MAP project and from external sources such as the National Water Information System (NWIS). Preprocessed data are output in clean formats that are independent of a particular model grid, allowing the model discretization to be easily changed without rerunning the preprocessing. By having a single code base that is well tested and documented, we avoid the many of the potential errors and confusion that are inherent in ad-hoc scripting. A single code base also facilitates reproducability in the modeling workflow,...
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The data are calculations of economic impacts of major agricultural commodities (corn, cotton, rice, soybeans, and catfish) produced in the Mississippi Alluvial Plain region for the years 2013 through 2017.
Links are provided to Python packages developed with support, in part, from the MAP project contributing to transparent, repeatable workflows in groundwater model development that improve our ability to build and update groundwater models more rapidly and effectively.
Concern about sustained availability of fresh groundwater for agricultural use in the Mississippi Alluvial Plain (MAP) mounts as groundwater levels decline. We evaluate the elasticities of demand for groundwater and other agricultural inputs, as well as the overall and output-specific economies of scale for four major irrigated commodities (rice, corn, soybeans, and cotton) in the MAP region. Additionally, we investigate the impacts of two groundwater management policy scenarios, including increasing pumping cost and groundwater use restrictions, on irrigation behavior. The results show price elasticity of demand for groundwater to be −0.13−0.13, indicating that it is inelastic, and an increased cost of pumping...
Scripts assisting in creation of MODFLOW observation files such as creation of head observations from time series, including in-tandem processing of observation data and MODFLOW output creation of instruction files.
SFRmaker translates hydrography data into input for the MODFLOW-2005 (Harbaugh, 2005) or MODFLOW-6 (Langevin, 2017) SFR package, using the open-source python geospatial stack. NHDPlus data (McKay and others, 2012) can be read directly, or any hydrography with routing information (in an attribute field) can be used. In general, SFRmaker is designed for the basic use case of a structured model grid and rectangular stream channel, where stage is estimated as part of the SFR package solution (ICALC=1 in MODFLOW-2005 parlance, or the input available in MODFLOW-6). Other options, such as specifying stream depth, unsaturated flow parameters and lake connections, can be accomplished by editing reach_data and segment_data...
Modflow-setup is intended to facilitate automated setup of MODFLOW models, from source data including shapefiles, rasters, and other MODFLOW models that are geo-located. Input data and model construction options are summarized in a single configuration file. Source data are read from their native formats and mapped to a regular finite difference grid specified in the configuration file. An external array-based [flopy](https://github.com/modflowpy/flopy) model instance with the desired packages is created from the sampled source data and default settings. MODFLOW input can then be written from the flopy model instance.


    map background search result map search result map The Mississippi Alluvial Plain Aquifers: An Engine for Economic Activity - Data MODFLOW 6 models for simulating groundwater flow in the Mississippi Embayment with a focus on the Mississippi Delta The Mississippi Alluvial Plain Aquifers: An Engine for Economic Activity - Data MODFLOW 6 models for simulating groundwater flow in the Mississippi Embayment with a focus on the Mississippi Delta