Coupled inversion of hydraulic and self‐potential data from transient outflow experiments to estimate soil petrophysical properties

Hydraulicproperties of soils could play an important role in affecting the partitioning precipitation critical zone. In addition to traditional approaches, last two decades, many geophysical methods have been used aid hydrologic characterization and measurement geological materials. particular, self-potential (SP) method shows great potential these hydrogeophysical applications. The objective this study is evaluate whether SP data can improve estimation hydraulic properties outflow experiment. A stochastic, coupled inversion was developed, which governing equations were solved using finite volume parameter conducted a Bayesian approach associated with Markov chain Monte Carlo technique. results show that reduce uncertainty related estimated parameters length 95% confidence interval be shortened by ∼1/3. It also shown electrical at saturated unsaturated conditions may from experiment when are available. Compared parameters, accuracy slightly lower. Among them, streaming coupling coefficient Csat has highest lowest since directly influences magnitude signals. other lower than (and parameters), one order larger.