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Use of GIS and 3D visualisation to investigate radon problem in groundwater
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geoinformatics.
KTH, School of Architecture and the Built Environment (ABE), Land and Water Resources Engineering.
2005 (English)In: 10th Scandinavian Research Conference on Geographical Information Science, Scangis, Stockholm, Sweden, June 13-15 / [ed] H. Hauska and H. Tveite, 2005, 39-51 p.Conference paper, Published paper (Refereed)
Abstract [en]

Radon is radioactive and its origin in groundwater is principally linked to the content of its parent element, uranium or radium in bedrocks. However, an on-going research at the Department of Land andWater Resources Engineering shows that a number of factors other than bedrock may potentially influence the radon concentration in groundwater.These factors include: steepness of the terrain, soil type, distribution of uranium and the effect of fracture zone. This article presents an application of GIS and 3D visualisation to explore the radon problem in groundwater. After a GIS pre-processing, 3D visualisations of the thematic data were produced in order to see if the visual approach would be useful to preliminary identify possible relationships between the high concentration of radon and other parameters.

Place, publisher, year, edition, pages
2005. 39-51 p.
National Category
Water Engineering
Identifiers
URN: urn:nbn:se:kth:diva-8777Scopus ID: 2-s2.0-33746200929ISBN: 91-7323-126-6 (print)OAI: oai:DiVA.org:kth-8777DiVA: diva2:14201
Conference
ScanGIS'2005, Stockholm, Sweden. June 13-15
Note
QC 20101221Available from: 2005-11-11 Created: 2005-11-11 Last updated: 2010-12-21Bibliographically approved
In thesis
1. Radon in Groundwater- Influencing Factors and Prediction Methodology for a Swedish Environment
Open this publication in new window or tab >>Radon in Groundwater- Influencing Factors and Prediction Methodology for a Swedish Environment
2005 (English)Licentiate thesis, comprehensive summary (Other scientific)
Abstract [en]

This thesis presents a method for predicting radon (222Rn) levels in groundwater on a general scale, within an area of approximately 185 x 145 km2. The method applies to Swedish conditions, where 222Rn is the main contributor to natural radioactivity. Prediction of radon potential in groundwater is complex because there are many different factors affecting radon content, including geochemical and flow processes. The proposed method is based on univariate and multivariate statistical analyses and investigated the influence of different factors such as bedrock, soils, uranium distribution, altitude, distance to fractures and land use. A statistical variable based method (the RV method) was used to estimate risk values related to different radon concentrations. The method was calibrated and tested on more than 4400 drilled wells in Stockholm County. The weighted index (risk value) estimated by the RV method provided a fair prediction of radon potential in groundwater on a general scale. The RV method was successful in estimating the median radon concentration within 12 subregions (at a local scale, each of area 25 x 25 km2), based on weighted index values obtained from half of all wells tested. A high correlation between risk values and median radon concentrations was demonstrated. The factors bedrock, altitude, distance to fracture zone and distribution of uranium in bedrock were found to be significant in the prediction approach on a general scale. Visual data mining, which comprised analysis of 3D images, was a useful tool for data exploration but could not be used as an independent method for drawing conclusions regarding radon in groundwater. Results of a field study based on 38 drilled wells on the island of Ljusterö in the Stockholm archipelago showed that 222Rn concentrations in groundwater were weakly correlated to the parent elements (226Ra and 238U) in solution.

Place, publisher, year, edition, pages
Stockholm: KTH, 2005. vii, 23 p.
Series
Trita-LWR. LIC, ISSN 1650-8629 ; 2032
Keyword
Radon, Grondwater, GIS, RV method, Multivariate statistics
National Category
Water Engineering
Identifiers
urn:nbn:se:kth:diva-491 (URN)91-7178-208-7 (ISBN)
Presentation
2005-11-21, V21, mark-och vattenteknik, Teknikringen 72, 1tr, KTH campus, 10:00
Opponent
Supervisors
Note
QC 20101221Available from: 2005-11-11 Created: 2005-11-11 Last updated: 2010-12-21Bibliographically approved

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