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Yu-Feng Lin

Researcher at University of Illinois at Urbana–Champaign

Publications -  40
Citations -  1337

Yu-Feng Lin is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Groundwater model & Groundwater. The author has an hindex of 13, co-authored 39 publications receiving 1111 citations. Previous affiliations of Yu-Feng Lin include University of Wisconsin-Madison & University of Connecticut.

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Fate and transport of antibiotic residues and antibiotic resistance genes following land application of manure waste.

TL;DR: Findings are discussed that address aspects of the fate, transport, and persistence of antibiotics and antibiotic resistance genes in natural environments, with emphasis on mechanisms pertaining to soil environments following land application of animal waste effluent.
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Modeling basin- and plume-scale processes of CO2 storage for full-scale deployment

TL;DR: Integrated modeling of basin- and plume-scale processes induced by full-scale deployment of CO(2) storage was applied to the Mt. Simon Aquifer, indicating the important role of a secondary seal with relatively low-permeability and high-entry capillary pressure.
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Mixed-Integer Chance-Constrained Models for Ground-Water Remediation

TL;DR: In this article, a statistical optimization methodology, chance-constrained programming (CCP), is used to account for uncertainty in the coefficients of the ground-water optimization models and the results showed that incorporating uncertainty into a groundwater optimization model using CCP could be a practical method for making decisions on well locations and pumping rates in groundwater remediation.
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Distributed thermal response test to analyze thermal properties in heterogeneous lithology

TL;DR: In this article, a fiber optic distributed thermal response test (DTRT) conducted in well-documented heterogeneous geology is combined with laboratory thermophysical measurements of cores and novel data analysis techniques to provide a detailed description of variability in subsurface heat transfer.