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Identification and mapping of pollution indices using a multivariate statistical methodology, Estarreja, central Portugal
In the Estarreja area of central Portugal, near an important focus of chemical industrial activity which is responsible for the eventual contamination of local aquifers by Cu, Pb, Zn, Co, Ni, Cd and Cr, a geochemical soil and groundwater survey was conducted, in order to identify and map meaning pol...
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Published in: | Applied geochemistry 1992, Vol.7 (6), p.563-572 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In the Estarreja area of central Portugal, near an important focus of chemical industrial activity which is responsible for the eventual contamination of local aquifers by Cu, Pb, Zn, Co, Ni, Cd and Cr, a geochemical soil and groundwater survey was conducted, in order to identify and map meaning pollution indices (obtained by a specific multivariate statistical model) that could be used for pollution control and monitoring purposes.
The main results of the research concern the statistical stability of two independent indices in three time periods and the linkage between soil and water data which assist in the interpretation of one of the indices. |
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ISSN: | 0883-2927 1872-9134 |
DOI: | 10.1016/0883-2927(92)90071-A |