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Dimensionality of heavy metal distribution in waste disposal sites using nonlinear dynamics

Modis Kostas, Komnitsas Konstantinos

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/D42DFAE9-8FBC-4E44-837F-CCA2D9CD36F7
Έτος 2008
Τύπος Δημοσίευση σε Περιοδικό με Κριτές
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά K. Modis, K. Komnitsas , " Dimensionality of heavy metal distribution in waste disposal sites using non linear dynamics," Journal of Hazardous Materials, vol. 156, no. 1-3, pp. 285–291, Aug. 2008. doi: 10.1016/j.jhazmat.2007.12.063 https://doi.org/10.1016/j.jhazmat.2007.12.063
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Περίληψη

Mapping of heavy metal contamination in mining and waste disposal sites usually relies on geostatistical approaches and linear stochastic dynamics. The present paper aims to identify, using the Grassberger–Procaccia correlation dimension (CD) algorithm, the existence of a nonlinear deterministic and chaotic dynamic behaviour in the spatial pattern of arsenic, manganese and zinc concentration in a Russian coal waste disposal site.The analysis carried out yielded embedding dimension values ranging between 7 and 8 suggesting thus from a chaotic dynamic perspective that arsenic, manganese and zinc concentration in space is a medium dimensional problem for the regionalized scale considered in this study.This alternative nonlinear dynamics approach may complement conventional geostatistical studies and may be also used for the estimation of risk and the subsequent screening and selection of a feasible remediation scheme in wider mining and waste disposal sites.Finally, the synergistic effect of this study may be further elaborated if additional factors including among others presence of hot spots, density and depth of sampling, mineralogy of wastes and sensitivity of analytical techniques are taken into account.

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