Jinsong Chen's Hydrogeophysics/Biogeophysics Research Interest
Hydrogeophysics/biogeophysics is the use of geophysical methods for imaging subsurface properties and for monitoring important processes related to hydrogeological and biogeochemical studies. One main challenge in hydrogeophysics/biogeophysics is the lack of effective methods for integrating multi-scale and multi-source information, such as geological, hydrogeological, geophysical, geochemical, and biological data. The primary goal of my research in the area is to develop effective statistical models for combining the diverse datasets. Examples of my research are:
- Developed a state-space Bayesian estimation framework to combine time-lapse geophysical data for monitoring evolution of microbially mediated precipitation during bioremediation processes (Chen et al., WRR, submitted).
- Developed a joint inversion approach to estimate fracture zonation along several cross sections at the DOE NABIR Field Research Center in Tennessee using seismic traveltimes, flowmeter test data, and Markov chain Monte Carlo methods (Chen et al., 2006, WRR).
- Developed a statistical model based on data collected from the DOE South Oyster Site to estimate the spatial distribution of field-scale extractable Fe(II) and Fe(III) using ground-penetrating radar tomographic attenuation data and various borehole logs (Chen et al., 2004, WRR).
- Developed a Bayesian method based on a normal linear regression model to combine crosswell seismic and ground-penetrating radar tomographic data with borehole flowmeter test data to estimate hydraulic conductivity (Chen et al., 2001, WRR).