Literature DB >> 11379911

Radon risk mapping in southern Belgium: an application of geostatistical and GIS techniques.

H C Zh1, J M Charlet, A Poffijn.   

Abstract

A data set of long-term radon measurements in approximately 2200 houses in southern Belgium has been collected in an on-going national radon survey. The spatial variation of indoor Rn concentrations is modelled by variograms. A radon distribution map is produced using the log-normal kriging technique. A GIS is used to digitise, process and integrate a variety of data, including geological maps, Rn concentrations associated with house locations and an administrative map, etc. It also allows evaluation of the relationships between various spatial data sets with the goal of producing radon risk maps. Based on geostatistical mapping and spatial analysis, we define three categories of risk areas: high risk, medium risk and low risk area. The correlation between radon concentrations and geological features is proved in this study. High and medium Rn risk zones are dominantly situated in bedrock from the Cambrian to Lower Devonian, although a few medium risk zones are within the Jurassic. It is evident that high-risk zones are related to a strongly folded and fractured context.

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Year:  2001        PMID: 11379911     DOI: 10.1016/s0048-9697(01)00693-3

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  9 in total

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Authors:  Bilgehan Nas; Ali Berktay
Journal:  Environ Monit Assess       Date:  2010-01       Impact factor: 2.513

3.  Lung and stomach cancer associations with groundwater radon in North Carolina, USA.

Authors:  Kyle P Messier; Marc L Serre
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4.  "But there are no snakes in the wood": risk mapping as an outcome measure in evaluating complex interventions.

Authors:  Robert Power; Lisa Langhaug; Frances Cowan
Journal:  Sex Transm Infect       Date:  2007-03-07       Impact factor: 3.519

5.  Kriged and modeled ambient air levels of benzene in an urban environment: an exposure assessment study.

Authors:  Kristina W Whitworth; Elaine Symanski; Dejian Lai; Ann L Coker
Journal:  Environ Health       Date:  2011-03-21       Impact factor: 5.984

6.  A geostatistical approach to assess the spatial association between indoor radon concentration, geological features and building characteristics: the case of Lombardy, Northern Italy.

Authors:  Riccardo Borgoni; Valeria Tritto; Carlo Bigliotto; Daniela de Bartolo
Journal:  Int J Environ Res Public Health       Date:  2011-05-06       Impact factor: 3.390

7.  Mapping radon hazard areas using 238U measurements and geological units: a study in a high background radiation city of China.

Authors:  Hongtao Liu; Nanping Wang; Xingming Chu; Ting Li; Ling Zheng; Shouliang Yan; Shijun Li
Journal:  J Radioanal Nucl Chem       Date:  2016-02-23       Impact factor: 1.371

Review 8.  Qualitative overview of indoor radon surveys in Europe.

Authors:  Gordana Pantelić; Igor Čeliković; Miloš Živanović; Ivana Vukanac; Jelena Krneta Nikolić; Giorgia Cinelli; Valeria Gruber
Journal:  J Environ Radioact       Date:  2019-05-04       Impact factor: 2.674

9.  Lung cancer mortality and radon concentration in a chronically exposed neighborhood in Chihuahua, Mexico: a geospatial analysis.

Authors:  Octavio R Hinojosa de la Garza; Luz H Sanín; María Elena Montero Cabrera; Korina Ivette Serrano Ramirez; Enrique Martínez Meyer; Manuel Reyes Cortés
Journal:  ScientificWorldJournal       Date:  2014-08-06
  9 in total

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