Quantitative imaging of the fresh/saltwater interface with airborne electromagnetics: examining different sources of uncertainty

TL;DR

This study evaluates the accuracy of airborne electromagnetic methods in mapping the fresh/saltwater interface in coastal aquifers, emphasizing the importance of data quality, prior knowledge, and threshold choices for reliable results.

Contribution

It introduces a quantitative framework for assessing uncertainty in FSI mapping using AEM data, highlighting the impact of data quality and prior information.

Findings

Reliable altitude, pitch, and roll logging improve FSI estimates.

Prior borehole data significantly reduces uncertainty.

Resolve frequency-domain system is more effective for shallow FSIs.

Abstract

Knowing the distribution between fresh and saline groundwater is imperative for sustainable and integrated management of water resources in coastal areas. The airborne electromagnetic (AEM) method is increasingly used for hydrogeological mapping over large areas via bulk electrical resistivity. However, accurately and reliably mapping the fresh/saltwater interface (FSI) requires accurate knowledge about the transition zone. The objective is to quantify the uncertainty in using AEM data to inform on the depth of the FSI. The study mimics a dual-moment time-domain SkyTEM sounding recorded in the Belgian coastal plain based on borehole data. It quantifies uncertainty using a differential evolution adaptive Metropolis algorithm to sample the posterior distribution. The results indicate the importance of reliable altitude, pitch and roll logging. Gathering prior knowledge about the transition zone, for example, through borehole logs, significantly improves the estimation of the FSI. The Resolve frequency-domain system, especially in context with very shallow to shallow FSIs, is more suitable for salinity mapping than the time-domain SkyTEM used in the field survey. The depth of the FSI may be defined via various threshold values. The uncertainty of three different thresholds is studied. The FSI based on the middle of the transition zone is the most reliable, while the FSI based on the 1500 mg/L total dissolved solids threshold is the least robust.