Indoor radon hazard: a geographical assessment and case study

Geiger, Charles J.; Barnes, Kent B.

doi:10.1016/0143-6228(94)90027-2

Cited by 7 publications

(2 citation statements)

References 4 publications

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“…On a different model-related topic, it is possible that the model can be improved by including more spatial or geological information (see, e.g., Boscardin, Price and Gelman, 1996;Geiger and Barnes, 1994;Mose and Mushrush, 1997;Miles and Ball, 1996), which would cause predictions for individual homes to become more precise and the prior standard deviations S to decrease. For instance, radon mapping within counties would allow recommendations to discriminate more precisely among houses and thus increase expected lives saved for any given dollar expenditure.…”

Section: Sensitivity To Assumptionsmentioning

confidence: 99%

Analysis of Local Decisions Using Hierarchical Modeling, Applied to Home Radon Measurement and Remediation

Lin¹,

Gelman²,

Price³

et al. 1999

Statist. Sci.

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This paper examines the decision problems associated with measurement and remediation of environmental hazards, using the example of indoor radon (a carcinogen) as a case study. Innovative methods developed here include (1) the use of results from a previous hierarchical statistical analysis to obtain probability distributions with local variation in both predictions and uncertainties, (2) graphical methods to display the aggregate consequences of decisions by individuals and (3) alternative parameterizations for individual variation in the dollar value of a given reduction in risk. We perform cost-benefit analyses for a variety of decision strategies, as a function of home types and geography, so that measurement and remediation can be recommended where it is most effective. We also briefly discuss the sensitivity of policy recommendations and outcomes to uncertainty in inputs. For the home radon example, we estimate that if the recommended decision rule were applied to all houses in the United States, it would be possible to save the same number of lives as with the current official recommendations for about 40% less cost.

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Section: Sensitivity To Assumptionsmentioning

confidence: 99%

Analysis of Local Decisions Using Hierarchical Modeling, Applied to Home Radon Measurement and Remediation

Lin¹,

Gelman²,

Price³

et al. 1999

Statist. Sci.

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show abstract

“…It has a half‐life of 3.8 days, while the other two isotopes’ half‐lives are negligible, being of 4 and 56 seconds. The half‐life of 222 Rn is long enough to ensure a significant amount of radon decay in a closed environment (Geiger and Barnes 1994, Knutsson and Olofsson 2002).…”

Section: Introductionmentioning

confidence: 99%

Knowledge Discovery in the Environmental Sciences: Visual and Automatic Data Mining for Radon Problems in Groundwater

Demšar

2007

Transactions in GIS

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Efficiently exploring a large dataset with the aim of forming a hypothesis is one of the main challenges in environmental research. The exploration of georeferenced environmental data is usually performed by established statistical methods. This paper presents an alternative approach. The aim of this study was to see if a visual data mining system and an integrated visual‐automatic data mining system could be used for data exploration for a particular environmental problem: the occurrence of radon in groundwater. In order to demonstrate this, two data mining systems were built, one consisting of visualisations and the other including an automatic data mining method – a Self‐Organising Map (SOM). The systems were designed for exploration of a large multidimensional dataset representing wells in Stockholm County.

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Spatial association between residential radon concentration and bedrock types in New Hampshire

et al. 2006

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Indoor radon hazard: a geographical assessment and case study

Cited by 7 publications

References 4 publications

Analysis of Local Decisions Using Hierarchical Modeling, Applied to Home Radon Measurement and Remediation

Analysis of Local Decisions Using Hierarchical Modeling, Applied to Home Radon Measurement and Remediation

Knowledge Discovery in the Environmental Sciences: Visual and Automatic Data Mining for Radon Problems in Groundwater

Spatial association between residential radon concentration and bedrock types in New Hampshire

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