Introduction

‘Ike Wai: Securing Hawai‘i’s Water Future

Numerical modeling techniques for density-driven flow in coastal aquifers and its application to West Hawai‘i Area Aquifers in island of Hawai‘i.

‘Ike Wai: Securing Hawai‘i’s Water Future

the extend of modeling area (left) and its estimated hydraulic conductivity distribution (right)
The extent of modeling area (left) and its estimated hydraulic conductivity distribution (right)

SPONSOR:
National Science Foundation – EPSCoR’s ‘Ike Wai

PROJECT PERIOD:
10/2017 – 05/2021

PROJECT PIs:
Gwen Jacobs, and Jonghyun Lee (Key Personnel)

ABSTRACT:
As a part of the NSF ‘Ike Wai project, Dr. Lee has developed numerical modeling techniques for density-driven flow in coastal aquifers and its application to West Hawai‘i area aquifers in island of Hawai‘i. He has utilized available hydrogeologic, geophysical, and geochemical data sets to characterize the subsurface structure of West Hawai‘i area aquifers for a better prediction of groundwater flow and the solute transport in the coastal aquifers. His research team’s modeling prediction will support management decisions for the sustainable supply of groundwater resources in West Hawai‘i area aquifers.

Project Publications:

Battistel, M., M. Muniruzzaman, F. Onses, J. Lee, and M. Rolle. 2019. Reactive fronts in chemically heterogeneous porous media: Experimental and modeling investigation of pyrite oxidation. Applied Geochemistry 100: 77–89.

Ghorbanidehno, H., A. Kokkinaki, J. Lee, and E. Darve. (in press). Recent developments in fast and scalable inverse physical modeling and data assimilation methods in hydrology. Journal of Hydrology.

Jeong, H., A. Sun, J. Lee, and B. Min. 2018. A learning-based data-driven forecast approach for predicting future reservoir performance. Advanced in Water Resources 118: 95–109.

Kang, X., A. Kokkinaki  P.K. Kitanidis  X. Shi,  A. Revil,  J. Lee,  A.S. Ahmed,  and J. Wu. (in press). Improved characterization of DNAPL source zones via sequential hydrogeophysical inversion of hydraulic-head, self-potential and partitioning-tracer data. Water Resources Research.

Kokkinaki, A., J. Lee, H. Ghorbadinehno, E.F. Darve, and P.K. Kitanidis. 2018. Subsurface characterization for large-scale systems: an integrated Python-based inversion tool for TOUGH2. In Proceedings of the TOUGH Symposium 2018.

Lee, J., A. Kokkinaki, and P.K. Kitanidis. 2018. Fast large-scale joint inversion for deep aquifer characterization using pressure and heat tracer measurements. Transport in Porous Media 123(3): 533–543.

Lee, J., M. Rolle, and P.K. Kitanidis. 2018. Longitudinal dispersion coefficients for numerical modeling of groundwater solute transport in heterogeneous formations. Journal of Contaminant Hydrology 212: 41–54.

Regnery, J., D. Li, J. Lee, K.M. Smits, and J.O. Sharp. 2020. Hydrogeochemical and microbiological effects of simulated recharge and drying within a 2D meso-scale aquifer. Chemosphere 241: 125116.

Url to project page:
https://www.hawaii.edu/epscor/ike-wai-project/

PRINCIPAL INVESTIGATOR