Browsing by Author "Tipping, Robert G"
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Item Bear Spring, Olmsted County, Minnesota; April 2018 Dye Trace and 2016-2018 Spring Monitoring Report(2019-01-29) Barry, John D; Larsen, Martin R; Tipping, Robert G; Alexander, Scott C; Alexander Jr, E CalvinItem Electronic Access to Minnesota Springs, Karst Features and Groundwater Tracing Information(2018-04) Green, Jeffrey A; Tipping, Robert G; Barry, John D; Brick, Gregory A; Wheeler, Betty J; Rutelonis, J Wes; Richardson, Bart C; Alexander Jr., E CalvinItem Geologic Investigation for Portion of the Twin Cities Metropolitan Area: Quaternary/Bedrock Hydraulic Conductivity and Groundwater Chemistry(Minnesota Geological Survey, 2010-11-24) Tipping, Robert G; Runkel, Anthony C; Gonzalez, Christopher MThis report summarizes work performed by the Minnesota Geological Survey (MGS) in partial fulfillment of work as described under contract 091037 between the University of Minnesota and the Metropolitan Council. The goal of this investigation was to provide datasets that would assist the Metropolitan Council with regional ground water planning. Specifically, hydraulic conductivity data for both unconsolidated and bedrock materials, along with historic ground water chemical and isotopic data were assembled into spatial databases that can be used in a geographic information systems (GIS) format. Wherever possible, depth of the sampled or tested material was included along with location information, so the three-dimensional distribution of these data could be queried and compared to ongoing Metropolitan Council planning projects. For hydraulic conductivity data, the focus was on glacial-related Quaternary deposits, because these are the data most lacking for current ground-water modeling investigations. Hydrostratigraphic attributes of fine-grained materials were evaluated based on a comparison of measured values with texture, depth, and a literature review of other midcontinent tills. For water chemistry, the goal was to display the distribution of chemical types (hydrochemical facies) as a means to illustrate possible ground-water flowpaths. A sample acquisition date was included so the database could also be used to assess changes in chemical composition with time. For both hydraulic conductivity data and water chemistry, attributes were also assigned to a regional dataset of regularly spaced grid points to facilitate importing the data into groundwater modeling programs. The individual point data geodatabase (PointData.mdb) provides access to hydraulic conductivity and chemical data for a specific site. Because much of the site information on geologic setting comes from different consultant's reports, there is a lack of consistency in lithologic and stratigraphic attributes. In this way, PointData.mdb is best suited as a "what's in my neighborhood" type of dataset rather than for rigorous regional spatial analysis of hydraulic conductivity data. The grid design of regional summary data geodatabase (RegionalData.gdb) is meant to provide the means to readily import and adjust hydraulic conductivity and chemical data in ground water flow models, or for use as an additional layer for three-dimensional evaluation of model results. Use of regional summary data in these settings can aid in refining conceptual models of ground-water flow.Item OFR21-02, Pilot Multi-county Modeling Synthesis For Bonanza Valley Groundwater Management Area(Minnesota Geological Survey, 2019) Tipping, Robert GThis report reviews current subsurface unconsolidated sediment modeling methods at MGS to address how model application to regional investigations can be improved in several fundamental ways: 1.) reduce errors and redundancy in final subsurface models that are artifacts of the modeling process itself, including linearity along cross-section lines in both elevation and map unit extent, unintended gaps in map units between cross sections, and lithostratigraphic formation subdivision to accommodate sand bodies within formations ; 2.) quantify uncertainty in modeling subsurface sand and gravel; and 3.) provide a work plan and method for subsurface models to remain current within shorter time frames as new data become available.