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, Francesca; Ciotoli, Giancarlo; Rinaldini, Alessio; Ruggiero, Livio; Voltaggio, Mario

doi:10.1016/j.scitotenv.2019.01.146

Cited by 75 publications

(43 citation statements)

References 60 publications

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“…In recent years, interest of the international scientific community towards the study of radon emission as a tracer of natural endogenous phenomena (seismic and volcanic activity) has considerably grown [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33] .…”

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confidence: 99%

Continuous radon monitoring during seven years of volcanic unrest at Campi Flegrei caldera (Italy)

Sabbarese

Ambrosino

Chiodini

et al. 2020

Sci Rep

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This is a seven-year study (1/7/2011-31/12/2017) of radon monitoring at two sites of Campi Flegrei caldera (Neaples, Southern Italy) that in the last 70 years experienced repeated phases of volcanic unrest. The sites are equipped with devices for radon detection, based on the spectrometry analysis of the α-particles of radon daughters. A hybrid method, as combination of three known methods, is applied for the identification of residuals (anomalies) and trends of the time series of Radon. The results are compared with the following indicators of current caldera unrest: the tremor caused by the major fumarolic vent registered by a seismic station; the cumulative of background seismicity; the maximum vertical deformation acquired by GPS networks during the current phase of uplift; the temperaturepressure of the hydrothermal system estimated based on gas geo-indicators. The comparisons show strong correlation among independent signals and suggest that the extension of the area affected by current campi flegrei crisis is larger than the area of seismicity and of intense hydrothermal activity from which the radon stations are 1-4 km away. These results represent an absolute novelty in the study of a such calderic area and mark a significant step forward in the use and interpretation of the radon signal.

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confidence: 99%

Continuous radon monitoring during seven years of volcanic unrest at Campi Flegrei caldera (Italy)

Sabbarese

Ambrosino

Chiodini

et al. 2020

Sci Rep

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“…In this study, the empirical Bayesian kriging (EBK), a geostatistical interpolation model that is based on the classic kriging model, was used (Krivoruchko 2012 ). Recently, many water and soil studies have adopted this method (Boateng et al 2019 ; Fabijańczyk et al 2017 ; Giustini et al 2019 ; Myers and Schultz 2000 ; Roberts et al 2014 ; Samsonova et al 2017 ). EBK is different from the classic kriging model in that it does not require manual adjustment of its parameters to acquire precise output.…”

Section: Methodsmentioning

confidence: 99%

Trace metals contamination in groundwater and implications on human health: comprehensive assessment using hydrogeochemical and geostatistical methods

Brindha

Paul

Walter

et al. 2020

Environ Geochem Health

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Monitoring the groundwater chemical composition and identifying the presence of pollutants is an integral part of any comprehensive groundwater management strategy. The present study was conducted in a part of West Tripura, northeast India, to investigate the presence and sources of trace metals in groundwater and the risk to human health due to direct ingestion of groundwater. Samples were collected from 68 locations twice a year from 2016 to 2018. Mixed Ca–Mg–HCO3, Ca–Cl and Ca–Mg–Cl were the main groundwater types. Hydrogeochemical methods showed groundwater mineralization due to (1) carbonate dissolution, (2) silicate weathering, (3) cation exchange processes and (4) anthropogenic sources. Occurrence of faecal coliforms increased in groundwater after monsoons. Nitrate and microbial contamination from wastewater infiltration were apparent. Iron, manganese, lead, cadmium and arsenic were above the drinking water limits prescribed by the Bureau of Indian Standards. Water quality index indicated 1.5% had poor, 8.7% had marginal, 16.2% had fair, 66.2% had good and 7.4% had excellent water quality. Correlation and principal component analysis reiterated the sources of major ions and trace metals identified from hydrogeochemical methods. Human exposure assessment suggests health risk due to high iron in groundwater. The presence of unsafe levels of trace metals in groundwater requires proper treatment measures before domestic use.

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“…Its subsequent classification as a carcinogen has led to investigation and monitoring of the indoor concentration of the gas in several countries of the world [1][2][3][4][5][6][7][8]. The source of the noble gas is from the decay of Ra-226 in bedrock and soil and migrates through soil pores by gas-phase diffusion and advection to the surface and its sink process is by radioactive decay [9,10].…”

Section: Introductionmentioning

confidence: 99%

Development of Predictive Model for Radon-222 Estimation in the Atmosphere using Stepwise Regression and Grid Search Based-Random Forest Regression

Olubi

Oniya

Owolabi

2021

J. Nig. Soc. Phys. Sci.

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This work develops predictive models for estimating radon (222Rn) activity concentration in the atmosphere using novel grid search based random forest regression (GS-RFR) and stepwise regression (SWR). The developed models employ meteorological parameters which include the temperature, pressure, relative and absolute humidity, wind speed and wind direction as descriptors. Experimental data of radon concentration and meteorological parameters from two observatories of the Korea Polar Research Institute in Antarctica (King Sejong and Jang Bogo) have been employed in this work. The performance of the developed models was assessed using three different performance measuring parameters. On the basis of root mean square error (RMSE), the GS-RFR shows better performance over the SWR. An improvement of 64.09 % and 15.19 % was obtained on the training and test datasets, respectively at King Sejong station. At the Jang Bogo station, an improvement of 75.04 % and 28.04 % was obtained on the training and test datasets, respectively. The precision and robustness of the developed models would be of significant interest in determining the concentration of radon (222Rn) activity concentration in the atmosphere for various physical applications especially in regions where field measuring equipment for radon is not available or measurements have been interrupted.

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

Cited by 75 publications

References 60 publications

Continuous radon monitoring during seven years of volcanic unrest at Campi Flegrei caldera (Italy)

Continuous radon monitoring during seven years of volcanic unrest at Campi Flegrei caldera (Italy)

Trace metals contamination in groundwater and implications on human health: comprehensive assessment using hydrogeochemical and geostatistical methods

Development of Predictive Model for Radon-222 Estimation in the Atmosphere using Stepwise Regression and Grid Search Based-Random Forest Regression

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