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Featured researches published by J. Elío.


Environment International | 2018

Estimation of residential radon exposure and definition of Radon Priority Areas based on expected lung cancer incidence

J. Elío; Quentin G. Crowley; R. Scanlon; J. Hodgson; Lina Zgaga

Radon is a naturally occurring gas, classified as a Class 1 human carcinogen, being the second most significant cause of lung cancer after tobacco smoking. A robust spatial definition of radon distribution in the built environment is therefore essential for understanding the relationship between radon exposure and its adverse health effects on the general population. Using Ireland as a case study, we present a methodology to estimate an average indoor radon concentration and calculate the expected radon-related lung cancer incidence. We use this approach to define Radon Priority Areas at the administrative level of Electoral Divisions (EDs). Geostatistical methods were applied to a data set of almost 32,000 indoor radon measurements, sampled in Ireland between 1992 and 2013. Average indoor radon concentrations by ED range from 21 to 338 Bq m-3, corresponding to an effective dose ranging from 0.8 to 13.3 mSv y-1 respectively. Radon-related lung cancer incidence by ED was calculated using a dose-effect model giving between 15 and 239 cases per million people per year, depending on the ED. Based on these calculations, together with the population density, we estimate that of the approximately 2,300 lung cancer cases currently diagnosed in Ireland annually, about 280 may be directly linked to radon exposure. This figure does not account for the synergistic effect of radon exposure with other factors (e.g. tobacco smoking), so likely represents a minimum estimate. Our approach spatially defines areas with the expected highest incidence of radon-related lung cancer, even though indoor radon concentrations for these areas may be moderate or low. We therefore recommend that both indoor radon concentration and population density by small area are considered when establishing national radon action plans.


Science of The Total Environment | 2017

Logistic regression model for detecting radon prone areas in Ireland

J. Elío; Quentin G. Crowley; R. Scanlon; J. Hodgson; S. Long

A new high spatial resolution radon risk map of Ireland has been developed, based on a combination of indoor radon measurements (n=31,910) and relevant geological information (i.e. Bedrock Geology, Quaternary Geology, soil permeability and aquifer type). Logistic regression was used to predict the probability of having an indoor radon concentration above the national reference level of 200Bqm-3 in Ireland. The four geological datasets evaluated were found to be statistically significant, and, based on combinations of these four variables, the predicted probabilities ranged from 0.57% to 75.5%. Results show that the Republic of Ireland may be divided in three main radon risk categories: High (HR), Medium (MR) and Low (LR). The probability of having an indoor radon concentration above 200Bqm-3 in each area was found to be 19%, 8% and 3%; respectively. In the Republic of Ireland, the population affected by radon concentrations above 200Bqm-3 is estimated at ca. 460k (about 10% of the total population). Of these, 57% (265k), 35% (160k) and 8% (35k) are in High, Medium and Low Risk Areas, respectively. Our results provide a high spatial resolution utility which permit customised radon-awareness information to be targeted at specific geographic areas.


Archive | 2016

Monitoring of Soil Gases in the Characterization Stage of CO 2 Storage in Saline Aquifers and Possible Effects of CO 2 Leakages in the Groundwater System

J. Elío; Marcelo F. Ortega; Luis Felipe Mazadiego; Barbara Nisi; Orlando Vaselli; María Jesús García-Martínez

The main objective of this chapter is to describe which analytical methodologies and procedures can be applied at the surface to monitor and verify the feasibility of geologically stored carbon dioxide.


Environmental Science and Pollution Research | 2018

Applicability of radon emanometry in lithologically discontinuous sites contaminated by organic chemicals

Eduardo De Miguel; Fernando Barrio-Parra; J. Elío; Miguel Izquierdo-Díaz; Jerónimo Emilio García-González; Luis Felipe Mazadiego; R. Medina

The applicability of radon (222Rn) measurements to delineate non-aqueous phase liquids (NAPL) contamination in subsoil is discussed at a site with lithological discontinuities through a blind test. Three alpha spectroscopy monitors were used to measure radon in soil air in a 25,000-m2 area, following a regular sampling design with a 20-m2 grid. Repeatability and reproducibility of the results were assessed by means of duplicate measurements in six sampling positions. Furthermore, three points not affected by oil spills were sampled to estimate radon background concentration in soil air. Data histograms, Q-Q plots, variograms, and cluster analysis allowed to recognize two data populations, associated with the possible path of a fault and a lithological discontinuity. Even though the concentration of radon in soil air was dominated by this discontinuity, the characterization of the background emanation in each lithological unit allowed to distinguish areas potentially affected by NAPL, thus justifying the application of radon emanometry as a screening technique for the delineation of NAPL plumes in sites with lithological discontinuities.


Environmental Geochemistry and Health | 2018

Environmental risk assessment of cobalt and manganese from industrial sources in an estuarine system

Fernando Barrio-Parra; J. Elío; E. De Miguel; J.E. García-González; Miguel Izquierdo; R. Álvarez

A total of 74 samples of soil, sediment, industrial sludge, and surface water were collected in a Mediterranean estuarine system in order to assess the potential ecological impact of elevated concentrations of Co and Mn associated with a Terephthalic (PTA) and Isophthalic (PIPA) acids production plant. Samples were analyzed for elemental composition (37 elements), pH, redox potential, organic carbon, and CaCO3 content, and a group of 16 selected samples were additionally subjected to a Tessier sequential extraction. Co and Mn soil concentrations were significantly higher inside the industrial facility and around its perimeter than in background samples, and maximum dissolved Co and Mn concentrations were found in a creek near the plant’s discharge point, reaching values 17,700 and 156 times higher than their respective background concentrations. The ecological risk was evaluated as a function of Co and Mn fractionation and bioavailability which were controlled by the environmental conditions generated by the advance of seawater into the estuarine system during high tide. Co appeared to precipitate near the river mouth due to the pH increase produced by the influence of seawater intrusion, reaching hazardous concentrations in sediments. In terms of their bioavailability and the corresponding risk assessment code, both Co and Mn present sediment concentrations that result in medium to high ecological risk whereas water concentrations of both elements reach values that more than double their corresponding Secondary Acute Values.


International Journal of Greenhouse Gas Control | 2013

CO2 soil flux baseline at the technological development plant for CO2 injection at Hontomin (Burgos, Spain)

J. Elío; Barbara Nisi; Marcelo F. Ortega; Luis Felipe Mazadiego; Orlando Vaselli; F. Grandia


International Journal of Greenhouse Gas Control | 2013

Hydrogeochemistry of surface and spring waters in the surroundings of the CO2 injection site at Hontomín–Huermeces (Burgos, Spain)

Barbara Nisi; Orlando Vaselli; Franco Tassi; J. Elío; Antonio Delgado Huertas; Luis Felipe Mazadiego; Marcelo F. Ortega


International Journal of Greenhouse Gas Control | 2015

CO2 and Rn degassing from the natural analog of Campo de Calatrava (Spain): Implications for monitoring of CO2 storage sites

J. Elío; Marcelo F. Ortega; Barbara Nisi; Luis Felipe Mazadiego; Orlando Vaselli; Juan Caballero; F. Grandia


International Journal of Greenhouse Gas Control | 2012

Sampling strategies using the "accumulation chamber" for monitoring geological storage of CO2

J. Elío; Marcelo F. Ortega; E. Chacón; Luis Felipe Mazadiego; F. Grandia


Annals of Geophysics | 2014

Origin of the gases released from the Acqua Passante and Ermeta wells (Mt. Amiata, central Italy) and possible environmental implications for their closure

Barbara Nisi; Orlando Vaselli; Franco Tassi; J. Elío; Marcelo F. Ortega; Juan Caballero; Daniele Rappuoli; Luis Felipe Mazadiego

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Luis Felipe Mazadiego

Technical University of Madrid

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Marcelo F. Ortega

Technical University of Madrid

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Juan Caballero

Technical University of Madrid

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E. Chacón

Technical University of Madrid

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Fernando Barrio-Parra

Technical University of Madrid

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Antonio Delgado Huertas

Spanish National Research Council

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