Geochemical exploration for uranium using soils

Bradshaw, Peter; Lett, Ray

doi:10.1016/0375-6742(80)90011-4

Cited by 17 publications

(4 citation statements)

References 3 publications

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“…The gamma-ra signal from 2'4Bi is more content of the soil, so the calculated values of eU are a good indicator of relative soil radon abundance. Any soil radon anomaly will necessarily also have a 214Bi anomaly (Bradshaw and Lett 1980).…”

Section: Approachmentioning

confidence: 99%

“…Many of the soils of Fairfax County have leached upper soil horizons of the order of 15-30 cm thick (Porter closely related to Y 'Rn-content than to U-er a1 1963), so the gamma-ray signal detected by airborne scintillometers obviously does not directly indicate uranium or radon abundances in the subsurface. However, the experience of uranium explorationists and of those who use aeroradioactivity maps to aid in geological mapping indicates that the quantities of uranium retained in the surface layer commonly reflect abundance in the subsurface (Bradshaw andLett 1980, Neuschel 1970).…”

Section: Approachmentioning

confidence: 99%

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The use of gamma aeroradioactivity in regional indoor radon prediction: a case study from Fairfax County, Virginia, USA

1989

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Measurement of indoor radon in homes of Fairfax County, Virginia in four seasons, with as many as 743 homes in a season, has shown that indoor radon potential may be predicted using aeroradioactivity maps. Homesites were located on a gross-count aerial gamma-ray intensity map, and indoor radon statistics for basement measurements were tallied according to aeroradioactivity range. For the winter season, the median indoor radon values showed a regular increase with increasing aeroradioactivity from 93 Bq m-3 in the aeroradioactivity range of 100-200 counts per second (CPS) up to 200 Bq cm-3 for homes in the >500 CPS range. Similarly, the percentage of homes with indoor radon values above 150 Bq m-3 also increased regularly from 20% to 83%. This regular increase occurs in other testing seasons as well, but with lower values. The results were good, even though ground permeability was not accounted for by this method, and the data suggest that a spectral survey could increase indoor radon predictability. Aerial gamma-ray mapping promises to be a simple, accurate and relatively inexpensive method for predicting the risk of indoor radon pollution.

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Section: Approachmentioning

confidence: 99%

Section: Approachmentioning

confidence: 99%

The use of gamma aeroradioactivity in regional indoor radon prediction: a case study from Fairfax County, Virginia, USA

1989

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“…The soluble uranium species tend to be carried away in ground water, eventually emerging to the earth's surface in springs and streams. In the process of soil formation, small quantities of soluble uranium may be scavenged by iron oxides or organic matter, or coprecipitated by phosphate, arsenate, or vanadate conplexes (Bradshaw, 1980). As soil erodes, this uranium is incorporated into stream sediment as well as uranium fron resistate heavy minerals which are concentrated in the streams by processes of weathering and erosion.…”

Section: Rationale For Techniques Employedmentioning

confidence: 99%

Evaluation of selected geochemical anomalies in Colorado and the Southeastern US. Final report

Carpenter¹

1980

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“…Most uranium deposits in Northern China are located in arid or semi-arid areas [16], where surface water resources are often limited, and groundwater is essential for maintaining agricultural irrigation and domestic water [17,18]. Among these deposits, the Bayan-Uul mining site, characterized by a longstanding history of mining activities, particularly in the extraction of sandstone-type uranium deposits, employs acid in situ leaching methods for uranium extraction.…”

Section: Introductionmentioning

confidence: 99%

Using Clustering, Geochemical Modeling, and a Decision Tree for the Hydrogeochemical Characterization of Groundwater in an In Situ Leaching Uranium Deposit in Bayan-Uul, Northern China

Li,

Liu,

Jiao

et al. 2023

Water

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Uranium extraction through the in situ leaching method stands as a pivotal approach in uranium mining. In an effort to comprehensively assess the repercussions of in situ uranium leaching on groundwater quality, this study collected 12 representative groundwater samples within the Bayan-Uul mining area. The basic statistical characteristics of the water samples showed that the concentrations of SO42− and total dissolved solids (TDS) were relatively high. Through the use of cluster analysis, the water samples were categorized into two distinct clusters. Seven samples from wells W-d, W-u, N01, W10-2, W08-1, W10-1, and W13-1, situated at a considerable distance from the mining area, were grouped together. Conversely, five samples from wells W08-2, W13-2, W01-1, W02-2, and the pumping well located in closer proximity to the mining area, formed a separate cluster. A decision tree-based machine learning approach was employed to discern the influence of various hydrochemical indicators in forming these clusters, with results indicating that SO42− exerts the most substantial influence, followed by Ca2+. The mineral saturation indices from geochemical modeling indicated that, as the distance from the mining area increased, the trend of calcium minerals changed from dissolution to precipitation; iron minerals were in a precipitation state, and the precipitation trend was gradually weakening. In light of these findings, it is clear that in situ uranium leaching significantly impacted the groundwater in the vicinity of the mining area. The prolonged consumption of groundwater sourced near the study area, or its use for animal husbandry, poses potential health risks that demand heightened attention.

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Geochemical exploration for uranium using soils

Cited by 17 publications

References 3 publications

The use of gamma aeroradioactivity in regional indoor radon prediction: a case study from Fairfax County, Virginia, USA

The use of gamma aeroradioactivity in regional indoor radon prediction: a case study from Fairfax County, Virginia, USA

Evaluation of selected geochemical anomalies in Colorado and the Southeastern US. Final report

Using Clustering, Geochemical Modeling, and a Decision Tree for the Hydrogeochemical Characterization of Groundwater in an In Situ Leaching Uranium Deposit in Bayan-Uul, Northern China

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