Long-term radon-222 (Rn) and hydroclimatic dataset for a coastal estuary, Corpus Christi Bay, Texas.

The dataset features radon-222 (Rn), a radioactive tracer naturally present and frequently employed to assess submarine groundwater discharge (SGD). This collection is part of a study aimed at refining SGD estimations in shallow estuaries through the prediction of Rn variations using accessible hydroclimatic parameters [1]. The dataset includes measurements of Rn in water gathered recurringly from Aug.

Factors controlling groundwater radioactivity in arid environments: An automated machine learning approach.

Groundwater resources in the Kingdom of Saudi Arabia (KSA) have high levels of natural radioactivity. Within the northwestern KSA, gross alpha (α) and gross beta (β) levels exceed national and international drinking-water limits. In this study, we developed and used an automated machine learning (AML) approach to quantify relationships between gross α and gross β activities and different geological, hydrogeological, and geochemical conditions.