Using a suite of modeling approaches to gain insight into complex models
2018
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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- Downloads2
Lecture / Presentation Description
With a growing focus in water management studies on large, regional flow systems, aquifer interconnections, and surface-groundwater interactions, groundwater model development must grapple with ever-increasing degrees of freedom and growing parameter uncertainty. For example, the transient Illinois Groundwater Flow model has 198 stress periods and requires complex geology, with 21 layers and several interconnected aquifers, presenting untold degrees of freedom and making traditional calibration techniques difficult. Additionally, head observations from dedicated monitoring wells are scarce in the Cambrian-Ordovician sandstones; calibration targets are largely in the form of non-pumping observations from active production wells under the influence of regional pumping, as well as one-time observations accompanying well completion reports. However, with this abundance of non-traditional monitoring data, unique insights can be garnered by applying novel modeling approaches.Some of the examples we will discuss include 1) validating hydrologic properties from daily fluctuations in monitoring wells near active production wells, 2) using analytic element simulations of production tests to identify low-flow barriers and regions of lower hydraulic conductivity, and 3) applying a transient, three-dimensional head-specified model to quantify flow excesses and deficits both spatially and temporally. Using this suite of novel modeling approaches to target specific model uncertainties often allows for greater insights into overall model properties, ultimately expediting and improving conceptualization and calibration for a more complicated model.
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