A regional approach to the environmental risk assessment - Human health risk assessment case study in the Campania region

Minolfi, Giulia; Albanese, Stefano; Lima, Annamaria; Tarvainen, Timo; Fortelli, Alberto; Vivo, Benedetto De

doi:10.1016/j.gexplo.2016.12.010

Cited by 33 publications

(8 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The land use is dominated by agricultural fields, covering more than 50% of the territory, with farming activities mainly focused in the coastal plains. The highly populated urban areas are concentrated near the mountain ranges and in the large alluvial plains [26].…”

Section: Study Areamentioning

confidence: 99%

Deciphering Interannual Temperature Variations in Springs of the Campania Region (Italy)

Mastrocicco

Busico

Colombani

2019

Water

View full text Add to dashboard Cite

While the effects of climate change on the thermal regimes of surface waters have already been assessed by many studies, there is still a lack of knowledge on the effects on groundwater temperature and on the effects on spring water quality. The online available dataset of the Campania Environmental Agency (ARPAC) was analysed via spatial, temporal and statistical analyses to assess the impact of climate variability on 118 springs, monitored over the period from 2002 to 2017. The meteorological dataset was used to compute average annual precipitation and atmospheric temperatures. Spring water temperatures, electrical conductivity, pH, chloride and fluoride were selected to determine if climate variations had a significant impact on spring water quality. This study shows that the Campania region has experienced an increase of spring water temperatures of approximately 2.0 °C during the monitored period. This is well-linked with the increase of atmospheric minimum temperatures, but not with average and maximum atmospheric temperatures. The spring water temperature increases were not reflected by a concomitant change of the analysed water quality parameters. The latter were linked to the precipitation trend and other local factors, like spring altitude and the presence of geothermal heat fluxes.

show abstract

Section: Study Areamentioning

confidence: 99%

Deciphering Interannual Temperature Variations in Springs of the Campania Region (Italy)

Mastrocicco

Busico

Colombani

2019

Water

View full text Add to dashboard Cite

show abstract

“…Campania is not immune to these problems, and some studies have already highlighted their existence and relation to its natural resources (Cicchella et al, 2005;Minolfi et al, 2018).…”

Section: Features Of the Study Areasmentioning

confidence: 99%

Geogenic versus anthropogenic behaviour and geochemical footprint of Al, Na, K and P in the Campania region (Southern Italy) soils through compositional data analysis and enrichment factor

Thiombane¹,

Bonito

Albanese³

et al. 2019

Geoderma

Self Cite

View full text Add to dashboard Cite

Geochemical studies that focus on environmental applications tend to approach the chemical elements as individual entities and may therefore offer only partial and sometimes biased interpretations of their distributions and behaviour. A potential alternative approach is to consider a compositional data analysis, where every element is part of a whole. In this study, an integrated methodology, which included compositional data analysis, multifractal data transformations and interpolation, as well as enrichment factor analysis, was applied to a geochemical dataset for the Campania region, in the south of Italy, focusing in particular on the behaviour, footprints and sources of a smaller pool of elements: Al, Na, K and P. The initial dataset included 3669 topsoil samples, collected at an average sampling density of 1 site per 2.3 km 2 , and analysed (after an aqua regia extraction) by a combination of ICP-AES and ICP-MS for 53 elements. Frequency based methods (Clr biplot, Enrichment Factor computation) and frequency spatial-method (fractal and multifractal plots) allowed identifying the relationships between the elements and their possible source patterns in Campania soils in relation to a natural occurring concentrations in geogenic material (rocks, soils and sediments) or human input. Results showed how the interpretation of concentration and behaviour of Al, Na, K and P was enhanced thanks to the application of data log-ratio transformation in univariate and multivariate analysis compared to the use of raw or log-normal data. Multivariate analyses with compositional biplot allowed the identification of four element associations and their potential association with the underling geology and/or human activities. When focusing on the smaller pool of elements (Al, P, K and Na), these relationships with the unique geology of the region were largely confirmed by multifractal interpolated maps. However, when the local background was used for the calculation of the enrichment factor, the resulting interpolated maps allowed to identify smaller areas where the greater concentrations of P could not be possibly associated to a mineralization (e.g., ultrapotassic rocks) but were more likely to be associated to anthropogenic input such as agriculture activities with potentially extensive use of phosphate fertilizers. The integrated approach of this study allowed a more robust qualitative and quantitative evaluation of elemental concentration, providing in particular new and vital information on the distribution and patterns of P in soils of the Campania region, but also a viable, more robust, methodological approach to regional environmental geochemistry studies.

show abstract

“…It is therefore important to understand which materials and factors favor the generation of high levels of indoor radon [5][6][7]. The analysis and evaluation of the different characteristics of indoor environments, in different types of buildings, in different environmental contexts and linked to different types of use, is a complex problem that requires careful evaluation of situations that are often poorly documented and not easily quantifiable because many agents contribute through multiple dynamics to the determination of the radon activity concentration [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A Preliminary Study of the Characteristics of Radon Data from Indoor Environments and Building Materials in the Campania Region Using PCA and K-Means Statistical Analyses

et al. 2022

View full text Add to dashboard Cite

For a healthy indoor environment, it is important to understand which materials and factors favor the generation of high levels of indoor radon. A preliminary multivariate statistical analysis was carried out on two datasets concerning indoor radon and building materials in the Campania Region using Principal Component Analysis (PCA) and the k-means partitional analysis technique. A total of 13 parameters related to building materials were used. The results show the greater contribution of building materials of volcanic origin to the concentration of indoor radon and thoron activity and the different influence of the parameters of the 31 materials analyzed. The same analyses applied to the indoor radon values of 694 rooms in the Campania Region were equally effective in assessing the structural characteristics of indoor environments that most influence indoor radon levels. The study provided an effective assessment of the influence on radon activity of several environmental parameters, which are often not adequately considered.

show abstract

A regional approach to the environmental risk assessment - Human health risk assessment case study in the Campania region

Cited by 33 publications

References 18 publications

Deciphering Interannual Temperature Variations in Springs of the Campania Region (Italy)

Deciphering Interannual Temperature Variations in Springs of the Campania Region (Italy)

Geogenic versus anthropogenic behaviour and geochemical footprint of Al, Na, K and P in the Campania region (Southern Italy) soils through compositional data analysis and enrichment factor

A Preliminary Study of the Characteristics of Radon Data from Indoor Environments and Building Materials in the Campania Region Using PCA and K-Means Statistical Analyses

Contact Info

Product

Resources

About