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http://cimav.repositorioinstitucional.mx/jspui/handle/1004/1584
Identifying potential contaminant sources using sediment geochemical data sets | |
HECTOR OSBALDO RUBIO ARIAS MARIA TERESA ALARCON HERRERA | |
Acceso Abierto | |
Sin Derechos Reservados | |
arsenic geochemical data | |
Geochemical data sets provide an easy access to spatially distributed concentrations of contaminants. These data are most useful in environmental studies of large areas (i.e. > 25 x 25 km) where the number of data points within the area of interest is large enough to form a visible pattern and statistical manipulations are more meaningful. This study was based on sediment concentrations of As, Cu, and Pb in a 2° x 2° area within the state of Chihuahua, Mexico. The results show anomalous concentrations in association with mining and mineral deposits for all three metals, and a concentration pattern for nonanomalous concentrations that is unique for each metal. The format in which these data are stored allows for adding new data, which makes this a versatile tool for environmental studies. | |
2009 | |
Memoria de congreso | |
Inglés | |
OTRAS | |
Versión revisada | |
submittedVersion - Versión revisada | |
Aparece en las colecciones: | Artículos de Congresos |
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Fichero | Tamaño | Formato | |
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MelidaG_icobte09.pdf | 130.69 kB | Adobe PDF | Visualizar/Abrir |