Multiscale analysis of the spatial variability of heavy metals and organic matter in soils and groundwater across Spain
| Autor: | Juan Antonio Luque-Espinar, Eulogio Pardo-Igúzquiza, C. Grima-Olmedo, Juan Grima-Olmedo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
chemistry.chemical_classification
Total organic carbon Soil science 010501 environmental sciences heavy metal Spatial distribution 01 natural sciences soil 03 medical and health sciences 0302 clinical medicine Hydrology (agriculture) chemistry multiscale Geostatistic Soil water Spatial ecology Environmental science Organic matter Spatial variability 030212 general & internal medicine Groundwater 0105 earth and related environmental sciences Water Science and Technology |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
| Popis: | During the last years there has been an increasing interest in assessing health risks caused by exposure to contaminants found in soil, air, and water, like heavy metals or emerging contaminants. This work presents a study on the spatial patterns and interaction effects among relevant heavy metals (Sb, As and Pb) that may occur together in different minerals. Total organic carbon (TOC) have been analyzed too because it is an essential component in the regulatory mechanisms that control the amount of metal in soils. Even more, exposure to these elements is associated with a number of diseases and environmental problems. These metals can have both natural and anthropogenic origins. A key component of any exposure study is a reliable model of the spatial distribution the elements studied. A geostatistical analysis have been performed in order to show that selected metals are auto-correlated and cross-correlated and type and magnitude of such cross-correlation varies depending on the spatial scale under consideration. After identifying general trends, we analyzed the residues left after subtracting the trend from the raw variables. Three scales of variability were identified (compounds or factors) with scales of 5, 35 and 135 km. The first factor (F1) basically identifies anomalies of natural origin but, in some places, of anthropogenics origin as well. The other two are related to geology (F2 and F3) although F3 represents more clearly geochemical background related to large lithological groups. Likewise, mapping of two major structures indicates that significant faults have influence on the distribution of the studied elements. Finally, influence of soil and lithology on groundwater by means of contingency analysis was assessed. Unidad de Granada, Instituto Geológico y Minero de España, España Instituto Geológico y Minero de España, España Escuela Técnica Superior de Ingenieros de Minas y Energía, Universidad Politécnica de Madrid, España |
| Databáze: | OpenAIRE |
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