Abstract

Heat is a naturally occurring widespread groundwater tracer that can be used to identify flow patterns in groundwater systems. Temperature measurements, being relatively inexpensive and effortless to gather, represent a valuable source of information which can be exploited to reduce uncertainties on groundwater flow, and e.g. support performance assessment studies on waste disposal sites. In a lowland setting, however, hydraulic gradients are typically small, and whether temperature measurements can be used to inform us about catchment-scale groundwater flow remains an open question. For the Neogene aquifer in Flanders, groundwater flow and solute transport models have been developed in the framework of safety and feasibility studies for the underlying Boom Clay Formation as potential host rock for geological disposal of radioactive waste. However, the simulated fluxes by these models are still subject to large uncertainties, as they are typically constrained by hydraulic heads only. In the current study we use a state-of-the-art 3D steady-state groundwater flow model, calibrated against hydraulic head measurements, to build a 3D transient heat-transport model, for assessing the use of heat as an additional state variable, in a lowland setting, at the catchment scale. We therefore use temperature-depth (TD) profiles as additional state variable observations for inverse conditioning. Furthermore, a Holocene paleo-temperature time curve was constructed based on paleo-temperature reconstructions in Europe from several sources in combination with land-surface temperature (LST) imagery remote sensing monthly data from 2001 to 2019 (retrieved from NASA’s MODIS). The aim of the research is to understand the mechanisms of heat transport and to characterize the temperature distribution and dynamics in the Neogene aquifer. The simulation results clearly underline advection/convection and conduction as the major heat transport mechanisms, with a reduced role of advection/convection in zones where flux magnitudes are low, which suggests temperature is a useful indicator also in a lowland setting. Furthermore, performed scenarios highlight the important roles of i) surface hydrological features and withdrawals driving local groundwater flow systems, and ii) the inclusion of subsurface features like faults in the conceptualization and development of hydrogeological investigations. These findings serve as a proxy of the influence of advective transport and barrier/conduit role of faults, particularly the Rauw Fault in this case, and suggest that solutes released from the Boom Clay might be affected in similar ways.

Highlights

  • Heat is a naturally occurring widespread groundwater tracer that can be used to identify flow patterns in groundwater systems (Anderson, 2005; Bense et al, 2017; Saar, 2011)

  • While the evaluation of candidate host formations continues, this study investigates how heat transport is affected by groundwater flow in the sedimentary Neogene aquifer, across the Nete catchment, in Belgium

  • The paleo-temperature reconstruction model results are more clustered, less disperse despite having some values spreading at a lower simulated equivalent gradient, in comparison with the land-surface temperature (LST) transient model, indicating that this simulation is overall being slightly more accurately representing the observed situation (RMSE = 0.03 °C/m; 1.15 °C), though several inaccuracies are observed in deeper parts of the aquifer (Figure 10c ). 375

Read more

Summary

Introduction

Heat is a naturally occurring widespread groundwater tracer that can be used to identify flow patterns in groundwater systems (Anderson, 2005; Bense et al, 2017; Saar, 2011). This case study will help assessing the usefulness of temperature data in a catchment-scale lowland setting to characterize the magnitude and patterns of groundwater flow This approach seems especially suitable within the framework of the disposal of radioactive 85 waste, as the idea is to learn as much as possible from measurements from low to non-invasive techniques This work serves as a case study attempting to integrate the information provided by temperature data as additional ‘unconventional’ state variable at the catchment scale in a quantitative way, with the objective of further constraining the numerical models that serve as summaries of our system understanding

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call