Abstract:
Eh is a parameter englobing multiple processes andfactors related to the hydrochemistry of a water. Normally, by itself, it does not provide great information to describe all the processes occurring in a system and it is considered only as “an indicator” that combined with a more detailedhydrochemistry can provide information of the driving processes.Consequently, it has not been used as a quantitative parameter. However, as a first time, and thanks to the development of sensoring and complex reactive transport models, we have been able to reproduce it quantitatively. In this work, we have developed a reactive transport model coupled to heat transport considering the folowing reactive processes: generation of organic matter in the own system, the oxidation of organic carbonusing different TEAPs, nitrification and different secondary geochemical processes related , especially, to iron and manganese geochemistry. The model has been validated with a big data of Eh measured through continuous and non-invasive sensors installed in the first meter of an infiltration pond and measuring every 12 min during a year. Besides this, we also used the data provided by four hydrochemical sampling campaigns.