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

Borgoni R, Tritto V, Bigliotto C, de Bartolo D - Int J Environ Res Public Health (2011)

Bottom Line: Firstly, we mapped indoor radon concentration in a large and inhomogeneous region using a geostatistical approach which borrows strength from the geologic nature of the soil.Secondly, knowing that geologic and anthropogenic factors, such as building characteristics, can foster the gas to flow into a building or protect against this, we evaluated these effects through a multiple regression model which takes into account the spatial correlation of the data.This allows us to rank different building typologies, identified by architectonic and geological characteristics, according to their proneness to radon.

View Article: PubMed Central - PubMed

Affiliation: Department of Statistics, University of Milan-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milan, Italy. riccardo.borgoni@unimib.it

ABSTRACT
Radon is a natural gas known to be the main contributor to natural background radiation exposure and second to smoking, a major leading cause of lung cancer. The main source of radon is the soil, but the gas can enter buildings in many different ways and reach high indoor concentrations. Monitoring surveys have been promoted in many countries in order to assess the exposure of people to radon. In this paper, two complementary aspects are investigated. Firstly, we mapped indoor radon concentration in a large and inhomogeneous region using a geostatistical approach which borrows strength from the geologic nature of the soil. Secondly, knowing that geologic and anthropogenic factors, such as building characteristics, can foster the gas to flow into a building or protect against this, we evaluated these effects through a multiple regression model which takes into account the spatial correlation of the data. This allows us to rank different building typologies, identified by architectonic and geological characteristics, according to their proneness to radon. Our results suggest the opportunity to differentiate construction requirements in a large and inhomogeneous area, as the one considered in this paper, according to different places and provide a method to identify those dwellings which should be monitored more carefully.

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Related in: MedlinePlus

(a) South-North trend of IRC. (b) East-West trend of IRC.
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Related In: Results  -  Collection

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getmorefigures.php?uid=PMC3108118&req=5

f3-ijerph-08-01420: (a) South-North trend of IRC. (b) East-West trend of IRC.

Mentions: Figure 2 shows the 3,512 measurement points considered in this paper. Higher IRC values tend to cluster on the territory and concentrate in the Alps area in the north of the region whereas lower values characterise the southern plain. The south-north trend is also evident in Figure 3 where spatial trends of IRC with respect to latitude (a) and longitude (b) are displayed. The trend is estimated non-parametrically by using a generalized additive model with LOESS specification of the coordinate’s effect [33]. The West-East trend appears somewhat negligible.


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

Borgoni R, Tritto V, Bigliotto C, de Bartolo D - Int J Environ Res Public Health (2011)

(a) South-North trend of IRC. (b) East-West trend of IRC.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC3108118&req=5

f3-ijerph-08-01420: (a) South-North trend of IRC. (b) East-West trend of IRC.
Mentions: Figure 2 shows the 3,512 measurement points considered in this paper. Higher IRC values tend to cluster on the territory and concentrate in the Alps area in the north of the region whereas lower values characterise the southern plain. The south-north trend is also evident in Figure 3 where spatial trends of IRC with respect to latitude (a) and longitude (b) are displayed. The trend is estimated non-parametrically by using a generalized additive model with LOESS specification of the coordinate’s effect [33]. The West-East trend appears somewhat negligible.

Bottom Line: Firstly, we mapped indoor radon concentration in a large and inhomogeneous region using a geostatistical approach which borrows strength from the geologic nature of the soil.Secondly, knowing that geologic and anthropogenic factors, such as building characteristics, can foster the gas to flow into a building or protect against this, we evaluated these effects through a multiple regression model which takes into account the spatial correlation of the data.This allows us to rank different building typologies, identified by architectonic and geological characteristics, according to their proneness to radon.

View Article: PubMed Central - PubMed

Affiliation: Department of Statistics, University of Milan-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milan, Italy. riccardo.borgoni@unimib.it

ABSTRACT
Radon is a natural gas known to be the main contributor to natural background radiation exposure and second to smoking, a major leading cause of lung cancer. The main source of radon is the soil, but the gas can enter buildings in many different ways and reach high indoor concentrations. Monitoring surveys have been promoted in many countries in order to assess the exposure of people to radon. In this paper, two complementary aspects are investigated. Firstly, we mapped indoor radon concentration in a large and inhomogeneous region using a geostatistical approach which borrows strength from the geologic nature of the soil. Secondly, knowing that geologic and anthropogenic factors, such as building characteristics, can foster the gas to flow into a building or protect against this, we evaluated these effects through a multiple regression model which takes into account the spatial correlation of the data. This allows us to rank different building typologies, identified by architectonic and geological characteristics, according to their proneness to radon. Our results suggest the opportunity to differentiate construction requirements in a large and inhomogeneous area, as the one considered in this paper, according to different places and provide a method to identify those dwellings which should be monitored more carefully.

Show MeSH
Related in: MedlinePlus