Monitoring Environmental Pollutants in the Vicinity of a Cement Plant: A Temporal Study

Universitat Rovira i Virgili, Reus, Catalonia, Spain.
Archives of Environmental Contamination and Toxicology (Impact Factor: 1.96). 02/2011; 60(2):372-84. DOI: 10.1007/s00244-010-9628-9
Source: PubMed

ABSTRACT From 2008 to 2009, we evaluated the environmental impact of a cement plant (Montcada i Reixac, Catalonia, Spain) that is located close to densely populated areas. The potential health risks for the population living in the neighborhood were also assessed. The levels of various heavy metals and the concentrations of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) were determined in soil, vegetation, and air samples collected at different directions and distances from the facility. Three 6-monthly consecutive campaigns were performed to establish temporal and seasonal trends. Multivariate statistical techniques, such as principal component analysis, were used. Human exposure to metals and PCDD/Fs, as well as the associated carcinogenic and noncarcinogenic risks, were also calculated. Environmental pollutant concentrations, especially those found in urban sites, were noted to be slightly higher than those recently reported around other cement plants in Catalonia. A seasonal pattern was observed, with higher values recorded during the colder sampling periods. Despite this, the carcinogenic and noncarcinogenic risks derived from human exposure to metals and PCDD/Fs were within the ranges considered acceptable by international regulatory organisms.

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    • "Three major pathways are generally considered in human health risk assessment: ingestion, dermal contact, and respiration. This study focused on the ingestion and dermal contact pathways, and the following equations are applied in calculating the exposure through these two pathways (USEPA, 1989, 2004; Rovira et al., 2011; Iqbal et al., 2013): "
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    Ecotoxicology and Environmental Safety 01/2015; 113C:469-476. DOI:10.1016/j.ecoenv.2014.12.036 · 2.48 Impact Factor
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    • "PCA is a data compression technique that aims to explain most of the variance in the data, while transforming the set of correlated measured variables into a smaller set of new uncorrelated variables or principal components (PCs), attempting at the same time to preserve and emphasize the relevant relationships present in the original data (Boruvka et al., 2005). The main goal of this multivariate statistical technique is to extract useful information and provide an easier visualization of the relations among objects and variables determined in large or complex data sets (Rovira et al., 2011). The scatter plot of component scores on both principal components (PCs) showed that most breast milk samples were included in a main cluster with only a few outliers (Fig. 2). "
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    Chemosphere 08/2013; 93(8). DOI:10.1016/j.chemosphere.2013.07.071 · 3.50 Impact Factor
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    • "Because of their notable toxicity , bioaccumulation capacity and long environmental persistence, these pollutants have raised a notorious public concern (Tsatsakis and Tutudaki, 2004; Rovira et al., 2011c). Among other effects, heavy metals are able to induce oxidative damage in the cardiopulmonary system (Valavanidis et al., 2008), while PCDD/Fs play a role as potential endocrine disruptors (Clemons et al., 1998), being also considered as carcinogens (Rovira et al., 2011c). "
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