Development of an indoor radon information system

Heydinger, Andrew G.; Kumar, Ashok; Harrell, James

doi:10.1016/0266-9838(91)90003-9

Cited by 11 publications

(16 citation statements)

References 1 publication

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“…This includes a table containing information about the building construction characteristics that has 23 data fields. The contents of this file are given in Table I1 by Heydinger et al, [4]. Most of the 23 parameters are selfarplanatory.…”

Section: Developmm Of Ohio Radon Informatk)n Smem (Orls)mentioning

confidence: 99%

“…Four main tables were created. The fields in the Radon table and the codes that were used for each field are taken from Table I given by Heydinger et al, [4]. In this table, the indoor radon levels are in pCiL.…”

Section: Developmm Of Ohio Radon Informatk)n Smem (Orls)mentioning

confidence: 99%

“…In order to enable users to perform statistical correlation, it was desired to obtain as much information as possible from the test sites as possible. The minimum amount of information for any of the sites is the zip code number, the radon level and a unique record number that was assigned to each site [4). A unified database of 8 1,437 measurements for 88 counties has been compiled so h.…”

Section: Developmm Of Ohio Radon Informatk)n Smem (Orls)mentioning

confidence: 99%

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Application of oracle 7.3 system for the development of an environmental database

1998

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Section: Developmm Of Ohio Radon Informatk)n Smem (Orls)mentioning

confidence: 99%

Section: Developmm Of Ohio Radon Informatk)n Smem (Orls)mentioning

confidence: 99%

Section: Developmm Of Ohio Radon Informatk)n Smem (Orls)mentioning

confidence: 99%

See 1 more Smart Citation

Application of oracle 7.3 system for the development of an environmental database

1998

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“…For instance, Ohio Department of Health (ODH) runs a campaign aimed at measuring radon concentrations across Ohio. Health authorities, in conjunction with county health departments, commercial testing services, and university researchers have so far gathered information for more than 130,000 homes/schools across Ohio [4][5][6][7][8]. Data management has been carried out using different database management systems [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Development of an ANN Interpolation Scheme for Estimating Missing Radon Concentrations in Ohio

Akkala¹

2011

TOEBMJ

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Radon (Rn) is a chemically inert, naturally occurring radioactive gas. It is one of the main causes of lung cancer second to smoking, and accounts for about 25,000 deaths every year in the US alone according to the National Cancer Institute. In order to initiate preventive measures to reduce the deaths caused by radon inhalation, it is helpful to have radon concentration data for each locality, e.g. zip code. However, such data are not available for each and every zip code in Ohio, owing to several reasons including inapproachability. In places where data is unavailable, radon concentrations must be estimated using interpolation techniques. This paper presents a new interpolation technique based on Artificial Neural Networks (ANNs) for modeling and predicting radon concentrations in Ohio, US. Several ANNs were first trained and then validated using available data. From the resulting models, the model with lowest validation error was identified. Model accuracies using the proposed approach was found to be significantly better compared to conventional interpolation techniques such as Kriging and Radial Basis Functions.

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“…Currently, the "Homes" database is the largest database with 145,849 data points, as of December 2009. It can be observed from literature that limited studies have given a detailed description of the structure of the database [8,12] and only one study provided a comprehensive analysis of radon gas concentration and house construction parameters [13].…”

Section: Radon Gas Databasesmentioning

confidence: 99%

Management of Radon Data in the State of Ohio, U.S.A.

Kumar¹

2011

TOEBMJ

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Abstract:The objective of this research paper is to create a public awareness in understanding the radon gas problem, discuss efficient data management methods and analyses of indoor radon gas concentrations, and mitigate the indoor radon gas concentrations to below acceptable level in the state of Ohio. The Ohio Radon Information System (ORIS) is a compendium of five databases or modules, viz. the "Homes" database, the "Water" database, the "Schools" database, the "Mitigation" database, and the "Tester" database. Over the years, the radon database (made available by testing laboratories, Ohio Department of Health (ODH), Ohio Environmental Protection Agency (EPA), and universities) has been expanded to 145,849 radon gas observations for homes; 1,283 radon gas observations for drinking water; 1,147 radon gas observations for schools; 26,374 radon gas observations for mitigation systems; and 76,727 radon gas observations by testers. Analysis of the homes data shows that "Licking County" is the only county having a geometric mean (GM = 8.41 pCi/l) of radon gas concentration greater than 8 pCi/l in Ohio. Zip code 43930, in "Jefferson County," accounts for a maximum GM radon gas concentration of 39 pCi/l. Of the 216 public and 1,067 private water supply systems, only 2 public and 65 private water supply systems have shown radon gas concentrations to exceed 1000 pCi/l. Analysis of the schools data reveals that a school in "Belmont County" to show a maximum radon gas concentration of 85.5 pCi/l, with 11 rooms out of the 39 school rooms tested greater than 4 pCi/l. The performance analysis of the mitigation systems identified the Sub Slab Depressurization (SSD) systems to be the best performers in mitigating the radon gas concentration to below 4 pCi/l in Ohio. Analysis of the tester's data showed two counties: Harrison (GM = 10.25 pCi/l); and Perry (GM = 8.65 pCi/l) to have a GM of radon gas concentration greater than 8 pCi/l in Ohio.

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Development of an indoor radon information system

Cited by 11 publications

References 1 publication

Application of oracle 7.3 system for the development of an environmental database

Application of oracle 7.3 system for the development of an environmental database

Development of an ANN Interpolation Scheme for Estimating Missing Radon Concentrations in Ohio

Management of Radon Data in the State of Ohio, U.S.A.

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