Introduction: This research explores the application of advanced geostatistical methods to predict the locations of residual radioactive hotspots at the former Zamzow uranium mine site, located near Three Rivers, TX. The site, part of the broader Lamprecht-Zamzow project, has a complex history, having undergone in situ uranium mining and processing, followed by decommissioning activities. The role of this study is not to set or recommend remediation goals, as this responsibility lies with the State of Texas. Rather, the purpose of the statistical analyses in this work is to present the data objectively, predicting potential contamination at unsampled locations and where further actions may be needed. Importantly, the findings of this study aim to inform state regulators regarding the unrestricted release of the site for landowner use, providing critical insights into the effectiveness of previous remediation efforts. By employing rigorous geostatistical techniques on survey data collected by environmental services contractors, this study models the spatial distribution of contamination referred to as “hotspots” with precision. This research marks an important advancement toward a scientifically grounded, objective approach in assessing radioactive site remediation and informing future decisions regarding site decommissioning and land restoration at former uranium sites. Importantly, the statistical analysis in this work demonstrated a clear reduction in the number of hotspots after site remediation, highlighting the effectiveness of the intervention.
Harvey et al. (Fri,) studied this question.