Skip to main content
Advanced Search

Filters: Tags: White River (X) > Extensions: ArcGIS Service Definition (X)

2 results (10ms)   

View Results as: JSON ATOM CSV
thumbnail
This data release consists of two .csv files of inverted models of electrical resistivity created from the processed resistivity data in the accompanying two data releases: (Miller and Others, 2018) and (2018 Raw and Processed, in progress). During 2016, 17, and 18, the U.S. Geological Survey conducted continuous resistivity profiling along 15 rivers or lakes in the Mississippi Alluvial Plain of Mississippi, Arkansas, Louisiana, and Missouri to characterize streambed hydraulic conductivity values. These techniques characterize the near surface geomorphology of the streambed that controls the recharge to the alluvial aquifer. These data can be used to map changes in the lithology of the streambed and identify areas...
thumbnail
This data release has three components for each of the eight surveys that were conducted in 2018: 1) a geospatial dataset of the processed data; 2) tabular data of the processed waterborne resistivity profiling data and associated water-quality data; 3) tabular data of the raw waterborne resistivity data and associated water-quality data. In addition to the newly collected data from 2018, the waterborne resistivity data from 2016 (Miller and others, 2016) is included and has been re-processed to be consistent with the processing steps currently utilized and described herein. In fresh water aquifers, the geoelectric resistivity of earth materials commonly has a positive correlation with hydraulic conductivity (Faye...


    map background search result map search result map Waterborne Resistivity Inverted Models, Mississippi Alluvial Plain, 2016-2018 Waterborne resistivity surveys for streams and reservoirs in the Mississippi Alluvial Plain, 2016 and 2018 Waterborne resistivity surveys for streams and reservoirs in the Mississippi Alluvial Plain, 2016 and 2018 Waterborne Resistivity Inverted Models, Mississippi Alluvial Plain, 2016-2018