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NLM283124407 |
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DE-627 |
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231225s2018 xx |||||o 00| ||eng c |
| 024 |
7 |
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|a 10.1111/gwat.12787
|2 doi
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| 028 |
5 |
2 |
|a pubmed25n0943.xml
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|a (DE-627)NLM283124407
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|a (NLM)29664128
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Andersen, Peter F
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Continuous Improvement of a Groundwater Model over a 20-Year Period
|b Lessons Learned
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| 264 |
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1 |
|c 2018
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 13.08.2018
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|a Date Revised 02.12.2018
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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| 520 |
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|a © 2018, National Ground Water Association.
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|a Groundwater models developed for specific sites generally become obsolete within a few years due to changes in: (1) modeling technology; (2) site/project personnel; (3) project funding; and (4) modeling objectives. Consequently, new models are sometimes developed for the same sites using the latest technology and data, but without potential knowledge gained from the prior models. When it occurs, this practice is particularly problematic because, although technology, data, and observed conditions change, development of the new numerical model may not consider the conceptual model's underpinnings. As a contrary situation, we present the unique case of a numerical flow and trichloroethylene (TCE) transport model that was first developed in 1993 and since revised and updated annually by the same personnel. The updates are prompted by an increase in the amount of data, exposure to a wider range of hydrologic conditions over increasingly longer timeframes, technological advances, evolving modeling objectives, and revised modeling methodologies. The history of updates shows smooth, incremental changes in the conceptual model and modeled aquifer parameters that result from both increase and decrease in complexity. Myriad modeling objectives have included demonstrating the ineffectiveness of a groundwater extraction/injection system, evaluating potential TCE degradation, locating new monitoring points, and predicting likelihood of exceedance of groundwater standards. The application emphasizes an original tenet of successful groundwater modeling: iterative adjustment of the conceptual model based on observations of actual vs. model response
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| 650 |
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4 |
|a Case Reports
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| 650 |
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4 |
|a Journal Article
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| 650 |
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7 |
|a Water Pollutants, Chemical
|2 NLM
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| 650 |
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7 |
|a Trichloroethylene
|2 NLM
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| 650 |
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7 |
|a 290YE8AR51
|2 NLM
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| 700 |
1 |
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|a Ross, James L
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Fenske, Jon P
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Ground water
|d 1979
|g 56(2018), 4 vom: 15. Juli, Seite 580-586
|w (DE-627)NLM098182528
|x 1745-6584
|7 nnns
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| 773 |
1 |
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|g volume:56
|g year:2018
|g number:4
|g day:15
|g month:07
|g pages:580-586
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| 856 |
4 |
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|u http://dx.doi.org/10.1111/gwat.12787
|3 Volltext
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|d 56
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|h 580-586
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