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Items: 5

1.

Mapping the geogenic radon potential and radon risk by using Empirical Bayesian Kriging regression: A case study from a volcanic area of central Italy.

Giustini F, Ciotoli G, Rinaldini A, Ruggiero L, Voltaggio M.

Sci Total Environ. 2019 Apr 15;661:449-464. doi: 10.1016/j.scitotenv.2019.01.146. Epub 2019 Jan 15.

PMID:
30677690
2.

Geographically weighted regression and geostatistical techniques to construct the geogenic radon potential map of the Lazio region: A methodological proposal for the European Atlas of Natural Radiation.

Ciotoli G, Voltaggio M, Tuccimei P, Soligo M, Pasculli A, Beaubien SE, Bigi S.

J Environ Radioact. 2017 Jan;166(Pt 2):355-375. doi: 10.1016/j.jenvrad.2016.05.010. Epub 2016 May 27.

PMID:
27241368
3.

A spatial, statistical approach to map the risk of milk contamination by β-hexachlorocyclohexane in dairy farms.

Battisti S, Caminiti A, Ciotoli G, Panetta V, Rombolà P, Sala M, Ubaldi A, Scaramozzino P.

Geospat Health. 2013 Nov;8(1):77-86.

4.

Field experience with soil gas mapping using Japanese passive radon/thoron discriminative detectors for comparing high and low radiation areas in Serbia (Balkan Region).

Zunić ZS, Janik M, Tokonami S, Veselinović N, Yarmoshenko IV, Zhukovsky M, Ishikawa T, Ramola RC, Ciotoli G, Jovanović P, Kozak K, Mazur J, Celiković I, Ujić P, Onischenko A, Sahoo SK, Bochicchio F.

J Radiat Res. 2009 Jul;50(4):355-61. Epub 2009 Jun 9.

5.

An assessment of gas emanation hazard using a geographic information system and geostatistics.

Astorri F, Beaubien SE, Ciotoli G, Lombardi S.

Health Phys. 2002 Mar;82(3):358-66.

PMID:
11845838

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