Bagged neural network model for prediction of the mean indoor radon concentration in the municipalities in Czech Republic

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652052%3A_____%2F17%3AN0000062" target="_blank" >RIV/86652052:_____/17:N0000062 - isvavai.cz</a>

Alternative codes found

RIV/00025798:_____/17:00000319

Result on the web

<a href="https://www.sciencedirect.com/science/article/abs/pii/S0265931X16302387" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0265931X16302387</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jenvrad.2016.07.008" target="_blank" >10.1016/j.jenvrad.2016.07.008</a>

Result language

angličtina

Original language name

Bagged neural network model for prediction of the mean indoor radon concentration in the municipalities in Czech Republic

Original language description

The purpose of the study is to determine radon-prone areas in the Czech Republic based on the measurements of indoor radon concentration and independent predictors (rock type and permeability of the bedrock, gamma dose rate, GPS coordinates and the average age of family houses). The relationship between the mean observed indoor radon concentrations in monitored areas (∼ 22% municipalities) and the independent predictors was modelled using a bagged neural network. Levels of mean indoor radon concentration in the unmonitored areas were predicted using the bagged neural network model fitted for the monitored areas. The propensity to increased indoor radon was determined by estimated probability of exceeding the action level of 300Bq/m3.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Environmental Radioactivity

ISSN

0265-931X

e-ISSN

—

Volume of the periodical

166

Issue of the periodical within the volume

SI - Part 2

Country of publishing house

GB - UNITED KINGDOM

Number of pages

5

Pages from-to

398-402

UT code for WoS article

000390073700018

EID of the result in the Scopus database

2-s2.0-84992323861