Folder
ROOT
_ScienceBase Catalog
__USGS Lower Mississippi-Gulf Water Science Center
___@ Mississippi Alluvial Plain (MAP) Regional Water-Availability Study
____Groundwater Levels
_____Groundwater-Level Data and Statistics
______Groundwater levels and other covariates useful for statistical modeling for the Mississippi River Valley Alluvial aquifer, Mississippi Alluvial Plain
This file contains site identification information of streamgages and paired wells to the streamgages operated by the U.S. Geological Survey in the State of Mississippi and within the Mississippi Alluvial Plain to monitor shallow groundwater conditions and aid in understanding the interaction between groundwater and surface water. Useful background on pairing groundwater and surface-water monitoring is provided by Constantz and others (2012). Differing scientific purposes of modeling or statistical studies could benefit from the identification of these sites for isolation or removal from comprehensive groundwater-level data projects for the Mississippi River Valley alluvial aquifer.
Monthly rollup of the discrete and daily-aligned groundwater levels were created from Robinson, Asquith, and Seanor (2020) data products with removal of the paired groundwater and surface-water sites listed by Robinson, Killian, and Asquith (2020). The monthly rollup is composed of (1) computed monthly "mean" values regardless of whether a well had one measurement in the month or up to about 30 days of daily-mean values, (2) standard deviation of the water levels within the month (sample size is generally just one day but for recorder sites could be up to about 30 days), (3) the last water level in the month, and (4) monthly counts of water levels. The algorithm is available within the sources of visGWDBmrva (Asquith...
A combination of discrete and daily-aligned groundwater levels for the Mississippi River Valley alluvial aquifer clipped to the Mississippi Alluvial Plain, as defined by Painter and Westerman (2018), with corresponding metadata are based on processing of U.S. Geological Survey National Water Information System (NWIS) (U.S. Geological Survey, 2020) data. The processing was made after retrieval using aggregation and filtering through the infoGW2visGWDB software (Asquith and Seanor, 2019). The nomenclature GWmaster mimics that of the output from infoGW2visGWDB. Two separate data retrievals for NWIS were made. First, the discrete data were retrieved, and second, continuous records from recorder sites with daily-mean...
