Simulation of groundwater flow in the glacial aquifer system of northeastern Wisconsin with variable model complexity Article Swipe
Paul F. Juckem
,
Brian R. Clark
,
Daniel T. Feinstein
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.3133/sir20175010
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.3133/sir20175010
First posted May 4, 2017 For additional information, contact: Director, Wisconsin Water Science CenterU.S. Geological Survey 8505 Research Way Middleton, WI 53562 The U.S. Geological Survey, National Water-Quality Assessment seeks to map estimated intrinsic susceptibility of the glacial aquifer system of the conterminous United States. Improved understanding of the hydrogeologic characteristics that explain spatial patterns of intrinsic susceptibility, commonly inferred from estimates of groundwater age distributions, is sought so that methods used for the estimation process are properly equipped. An important step beyond identifying relevant hydrogeologic datasets, such as glacial geology maps, is to evaluate how incorporation of these resources into process-based models using differing levels of detail could affect resulting simulations of groundwater age distributions and, thus, estimates of intrinsic susceptibility.This report describes the construction and calibration of three groundwater-flow models of northeastern Wisconsin that were developed with differing levels of complexity to provide a framework for subsequent evaluations of the effects of process-based model complexity on estimations of groundwater age distributions for withdrawal wells and streams. Preliminary assessments, which focused on the effects of model complexity on simulated water levels and base flows in the glacial aquifer system, illustrate that simulation of vertical gradients using multiple model layers improves simulated heads more in low-permeability units than in high-permeability units. Moreover, simulation of heterogeneous hydraulic conductivity fields in coarse-grained and some fine-grained glacial materials produced a larger improvement in simulated water levels in the glacial aquifer system compared with simulation of uniform hydraulic conductivity within zones. The relation between base flows and model complexity was less clear; however, the relation generally seemed to follow a similar pattern as water levels. Although increased model complexity resulted in improved calibrations, future application of the models using simulated particle tracking is anticipated to evaluate if these model design considerations are similarly important for understanding the primary modeling objective - to simulate reasonable groundwater age distributions.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3133/sir20175010
- https://pubs.usgs.gov/sir/2017/5010/sir20175010.pdf
- OA Status
- bronze
- Cited By
- 9
- References
- 35
- Related Works
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- OpenAlex ID
- https://openalex.org/W2612838405
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2612838405Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3133/sir20175010Digital Object Identifier
- Title
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Simulation of groundwater flow in the glacial aquifer system of northeastern Wisconsin with variable model complexityWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-01-01Full publication date if available
- Authors
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Paul F. Juckem, Brian R. Clark, Daniel T. FeinsteinList of authors in order
- Landing page
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https://doi.org/10.3133/sir20175010Publisher landing page
- PDF URL
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https://pubs.usgs.gov/sir/2017/5010/sir20175010.pdfDirect link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://pubs.usgs.gov/sir/2017/5010/sir20175010.pdfDirect OA link when available
- Concepts
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Hydrogeology, Aquifer, Hydraulic conductivity, Glacial period, Groundwater, Geology, Permeability (electromagnetism), Groundwater flow, Hydrology (agriculture), Groundwater model, Soil science, Geomorphology, Geotechnical engineering, Soil water, Genetics, Biology, MembraneTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
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2021: 1, 2020: 1, 2019: 3, 2018: 2, 2017: 2Per-year citation counts (last 5 years)
- References (count)
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35Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.flows | 184, 251 |
| abstract_inverted_index.heads | 202 |
| abstract_inverted_index.maps, | 91 |
| abstract_inverted_index.model | 155, 176, 198, 253, 273, 294 |
| abstract_inverted_index.seeks | 29 |
| abstract_inverted_index.these | 98, 293 |
| abstract_inverted_index.three | 129 |
| abstract_inverted_index.thus, | 117 |
| abstract_inverted_index.units | 206 |
| abstract_inverted_index.using | 103, 196, 284 |
| abstract_inverted_index.water | 180, 231, 269 |
| abstract_inverted_index.wells | 165 |
| abstract_inverted_index.which | 170 |
| abstract_inverted_index.Survey | 15 |
| abstract_inverted_index.United | 43 |
| abstract_inverted_index.affect | 109 |
| abstract_inverted_index.beyond | 82 |
| abstract_inverted_index.clear; | 257 |
| abstract_inverted_index.design | 295 |
| abstract_inverted_index.detail | 107 |
| abstract_inverted_index.fields | 217 |
| abstract_inverted_index.follow | 264 |
| abstract_inverted_index.future | 279 |
| abstract_inverted_index.larger | 227 |
| abstract_inverted_index.layers | 199 |
| abstract_inverted_index.levels | 105, 140, 181, 232 |
| abstract_inverted_index.models | 102, 131, 283 |
| abstract_inverted_index.posted | 1 |
| abstract_inverted_index.report | 122 |
| abstract_inverted_index.seemed | 262 |
| abstract_inverted_index.sought | 67 |
| abstract_inverted_index.system | 39, 237 |
| abstract_inverted_index.units. | 210 |
| abstract_inverted_index.within | 245 |
| abstract_inverted_index.zones. | 246 |
| abstract_inverted_index.Science | 12 |
| abstract_inverted_index.States. | 44 |
| abstract_inverted_index.Survey, | 25 |
| abstract_inverted_index.aquifer | 38, 188, 236 |
| abstract_inverted_index.between | 249 |
| abstract_inverted_index.effects | 152, 174 |
| abstract_inverted_index.explain | 52 |
| abstract_inverted_index.focused | 171 |
| abstract_inverted_index.geology | 90 |
| abstract_inverted_index.glacial | 37, 89, 187, 223, 235 |
| abstract_inverted_index.levels. | 270 |
| abstract_inverted_index.methods | 70 |
| abstract_inverted_index.pattern | 267 |
| abstract_inverted_index.primary | 303 |
| abstract_inverted_index.process | 75 |
| abstract_inverted_index.provide | 144 |
| abstract_inverted_index.similar | 266 |
| abstract_inverted_index.spatial | 53 |
| abstract_inverted_index.system, | 189 |
| abstract_inverted_index.uniform | 242 |
| abstract_inverted_index.Although | 271 |
| abstract_inverted_index.Improved | 45 |
| abstract_inverted_index.National | 26 |
| abstract_inverted_index.Research | 17 |
| abstract_inverted_index.commonly | 58 |
| abstract_inverted_index.compared | 238 |
| abstract_inverted_index.contact: | 8 |
| abstract_inverted_index.evaluate | 94, 291 |
| abstract_inverted_index.however, | 258 |
| abstract_inverted_index.improved | 277 |
| abstract_inverted_index.improves | 200 |
| abstract_inverted_index.inferred | 59 |
| abstract_inverted_index.modeling | 304 |
| abstract_inverted_index.multiple | 197 |
| abstract_inverted_index.particle | 286 |
| abstract_inverted_index.patterns | 54 |
| abstract_inverted_index.produced | 225 |
| abstract_inverted_index.properly | 77 |
| abstract_inverted_index.relation | 248, 260 |
| abstract_inverted_index.relevant | 84 |
| abstract_inverted_index.resulted | 275 |
| abstract_inverted_index.simulate | 308 |
| abstract_inverted_index.streams. | 167 |
| abstract_inverted_index.tracking | 287 |
| abstract_inverted_index.vertical | 194 |
| abstract_inverted_index.Director, | 9 |
| abstract_inverted_index.Moreover, | 211 |
| abstract_inverted_index.Wisconsin | 10, 134 |
| abstract_inverted_index.datasets, | 86 |
| abstract_inverted_index.describes | 123 |
| abstract_inverted_index.developed | 137 |
| abstract_inverted_index.differing | 104, 139 |
| abstract_inverted_index.equipped. | 78 |
| abstract_inverted_index.estimated | 32 |
| abstract_inverted_index.estimates | 61, 118 |
| abstract_inverted_index.framework | 146 |
| abstract_inverted_index.generally | 261 |
| abstract_inverted_index.gradients | 195 |
| abstract_inverted_index.hydraulic | 215, 243 |
| abstract_inverted_index.important | 80, 299 |
| abstract_inverted_index.increased | 272 |
| abstract_inverted_index.intrinsic | 33, 56, 120 |
| abstract_inverted_index.materials | 224 |
| abstract_inverted_index.objective | 305 |
| abstract_inverted_index.resources | 99 |
| abstract_inverted_index.resulting | 110 |
| abstract_inverted_index.similarly | 298 |
| abstract_inverted_index.simulated | 179, 201, 230, 285 |
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| abstract_inverted_index.CenterU.S. | 13 |
| abstract_inverted_index.Geological | 14, 24 |
| abstract_inverted_index.Middleton, | 19 |
| abstract_inverted_index.additional | 6 |
| abstract_inverted_index.complexity | 142, 156, 177, 254, 274 |
| abstract_inverted_index.estimation | 74 |
| abstract_inverted_index.illustrate | 190 |
| abstract_inverted_index.reasonable | 309 |
| abstract_inverted_index.simulation | 192, 212, 240 |
| abstract_inverted_index.subsequent | 148 |
| abstract_inverted_index.withdrawal | 164 |
| abstract_inverted_index.Preliminary | 168 |
| abstract_inverted_index.anticipated | 289 |
| abstract_inverted_index.application | 280 |
| abstract_inverted_index.calibration | 127 |
| abstract_inverted_index.estimations | 158 |
| abstract_inverted_index.evaluations | 149 |
| abstract_inverted_index.groundwater | 63, 113, 160, 310 |
| abstract_inverted_index.identifying | 83 |
| abstract_inverted_index.improvement | 228 |
| abstract_inverted_index.simulations | 111 |
| abstract_inverted_index.assessments, | 169 |
| abstract_inverted_index.conductivity | 216, 244 |
| abstract_inverted_index.construction | 125 |
| abstract_inverted_index.conterminous | 42 |
| abstract_inverted_index.fine-grained | 222 |
| abstract_inverted_index.information, | 7 |
| abstract_inverted_index.northeastern | 133 |
| abstract_inverted_index.Water-Quality | 27 |
| abstract_inverted_index.calibrations, | 278 |
| abstract_inverted_index.distributions | 115, 162 |
| abstract_inverted_index.heterogeneous | 214 |
| abstract_inverted_index.hydrogeologic | 49, 85 |
| abstract_inverted_index.incorporation | 96 |
| abstract_inverted_index.process-based | 101, 154 |
| abstract_inverted_index.understanding | 46, 301 |
| abstract_inverted_index.coarse-grained | 219 |
| abstract_inverted_index.considerations | 296 |
| abstract_inverted_index.distributions, | 65 |
| abstract_inverted_index.distributions. | 312 |
| abstract_inverted_index.susceptibility | 34 |
| abstract_inverted_index.characteristics | 50 |
| abstract_inverted_index.susceptibility, | 57 |
| abstract_inverted_index.groundwater-flow | 130 |
| abstract_inverted_index.low-permeability | 205 |
| abstract_inverted_index.high-permeability | 209 |
| abstract_inverted_index.susceptibility.This | 121 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/6 |
| sustainable_development_goals[0].score | 0.7300000190734863 |
| sustainable_development_goals[0].display_name | Clean water and sanitation |
| citation_normalized_percentile |