California GAMA Special Study: Geostatistical analysis of groundwater age and other noble gas derived parameters in California

Visser, Anneloes; Moran, J. E.; Singleton, Michael; Esser, Bradley K.

doi:10.2172/1162236

Cited by 1 publication

(1 citation statement)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The statistical distribution of the data was evaluated for normality with a Shapiro-Wilks test ( W = 0.9, p -value <0.01) and histogram analysis. Although the distribution of 222 Rn was significantly different from normal, variogram analysis and kriging predictions were applied . For the 222 Rn prediction map across California we used a bin width of 1 km.…”

Section: Statistical and Gis Methodologymentioning

confidence: 99%

Patterns in Radon Activity in California Groundwater

Grande

Moran

2021

ACS EST Water

View full text Add to dashboard Cite

Naturally occurring radon-222 ( 222 Rn) is an effective marker of groundwater inflow to streams, lakes, and coastal environments. However, 222 Rn activity in groundwater is difficult to predict, and existing data are rarely interpreted in a hydrogeologic context. A total of 3582 dissolved 222 Rn samples in groundwater, 302 streamwater samples, and 10 samples from springs across California were used to understand the large-scale patterns of 222 Rn in the state's groundwater. In addition to 222 Rn activity, 54 additional analytes for the same samples together with surficial geology and well depth were used to assess controls on 222 Rn in groundwater. The results show that the lithology of the host formation is the most reliable predictor of 222 Rn activity in groundwater and that 222 Rn activity in groundwater is correlated most strongly with radiological (parent) constituents, further implicating the importance of the host lithology/mineralogy. We created a map of interpolated 222 Rn activity in groundwater across California, which should be a valuable reference for investigations of surface water−groundwater exchanges and potential health effects of 222 Rn in drinking water. The interpolated values from the map provide a rough approximation for experimental planning purposes and for assessing groundwater flux to surface water in areas where groundwater samples are inaccessible.

show abstract

Section: Statistical and Gis Methodologymentioning

confidence: 99%