About the research program

Ying-Fan Lin studies groundwater signals that do not move in step with the model used to interpret them.

His work starts from analytical well hydraulics, then tests where classical interpretations leave timing, amplitude, or residual patterns unresolved. Numerical experiments and AI-assisted checks are used to compare interpretation pathways. The goal is not a cleaner curve fit. The goal is to know when a model choice changes the decision.

2016-2020

Analytical well hydraulics and boundary physics

Exact and semi-analytical models establish the reference behavior for pumping, Robin-type boundaries, solute diffusion, heat transport, and near-well effects.

2017-2026

Lagging Theory and groundwater memory

Lagging Theory starts from asynchronous water flux and hydraulic gradient, then extends to free-surface drainage, periodic head signals, subsidence, and field time series.

2024-2026

Transformation uncertainty

The current TU_Lag line separates measured response from interpreted parameters, checking how model pathways propagate into design decisions.

2026+

Subsurface energy intelligence

TRT, aquifer thermal response, shallow geothermal systems, and industrial water-energy planning become the application surface for groundwater-aware asynchrony diagnostics.