Influences on the carbonate hydrochemistry of mound spring environments, Lake Eyre South region, South Australia

Mound spring structures composed of tufa precipitated from near-ambient temperature spring waters are rare; consequently, the hydrochemical evolution of the water and the processes that control carbonate deposition in these systems are not well understood. This study analysed the water from 3 mound springs in an arid environment in the vicinity of Lake Eyre South, South Australia. Samples were tested for major ion chemistry and stable isotope ratios of water (²H/¹H and ¹⁸O/¹⁶O). Most CO₂ degasses from water (i) before emergence as it ascends in the fracture-derived spring conduit system below the spring opening and (ii) after emergence in the turbulent upper tail environment between the spring vent pool and the tail delta. However, modern carbonate precipitation was generally restricted to tail delta environments, spatially disconnected from the areas of strongest CO₂-degassing. In addition to CO₂-degassing and carbonate precipitation, evapotranspiration and heterotrophy were inferred to be processes controlling the chemical evolution of water flowing through the tail delta. Based on considerations of the geometry of the tail delta and evapotranspiration rates, it was inferred that infiltration is an important process in determining the tail delta size and hence the morphology of the mound spring environment. A reactive transport model was used to assess the importance of these processes for the evolution of carbonate hydrochemistry. The model outcomes showed that water loss via evapotranspiration does not significantly affect tufa precipitation, despite the springs being located within an arid environment. Heterotrophy was considered in the model in order to reproduce observed pH and carbonate concentrations, highlighting the role of vegetation in controlling the water chemistry. The modelling approach adopted here provides a generic framework for the analysis of calcareous spring deposits and places quantitative constraints on data-based process conceptualisation.