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

Modis, K; Komnitsas, K

dc.contributor.author	Modis, K	en
dc.contributor.author	Komnitsas, K	en
dc.date.accessioned	2014-03-01T01:28:09Z
dc.date.available	2014-03-01T01:28:09Z
dc.date.issued	2008	en
dc.identifier.issn	0304-3894	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18737
dc.subject	Correlation dimension algorithms	en
dc.subject	Geostatistics	en
dc.subject	Heavy metal distribution	en
dc.subject	Nonlinear dynamics	en
dc.subject.classification	Engineering, Environmental	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Environmental Sciences	en
dc.subject.other	Algorithms	en
dc.subject.other	Chaos theory	en
dc.subject.other	Concentration (process)	en
dc.subject.other	Correlation methods	en
dc.subject.other	Correlation dimension algorithms	en
dc.subject.other	Geostatistics	en
dc.subject.other	Heavy metal distribution	en
dc.subject.other	Waste disposal	en
dc.subject.other	arsenic	en
dc.subject.other	coal	en
dc.subject.other	heavy metal	en
dc.subject.other	manganese	en
dc.subject.other	zinc	en
dc.subject.other	Algorithms	en
dc.subject.other	Chaos theory	en
dc.subject.other	Concentration (process)	en
dc.subject.other	Correlation methods	en
dc.subject.other	Waste disposal	en
dc.subject.other	algorithm	en
dc.subject.other	arsenic	en
dc.subject.other	coal mining	en
dc.subject.other	correlation	en
dc.subject.other	geostatistics	en
dc.subject.other	manganese	en
dc.subject.other	nonlinearity	en
dc.subject.other	waste disposal	en
dc.subject.other	zinc	en
dc.subject.other	algorithm	en
dc.subject.other	article	en
dc.subject.other	chaotic dynamics	en
dc.subject.other	concentration (parameters)	en
dc.subject.other	geostatistical analysis	en
dc.subject.other	nonlinear system	en
dc.subject.other	Russian Federation	en
dc.subject.other	waste disposal	en
dc.subject.other	Algorithms	en
dc.subject.other	Metals, Heavy	en
dc.subject.other	Nonlinear Dynamics	en
dc.subject.other	Refuse Disposal	en
dc.subject.other	Eurasia	en
dc.subject.other	Russian Federation	en
dc.title	Dimensionality of heavy metal distribution in waste disposal sites using nonlinear dynamics	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.jhazmat.2007.12.063	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.jhazmat.2007.12.063	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	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. (C) 2007 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Journal of Hazardous Materials	en
dc.identifier.doi	10.1016/j.jhazmat.2007.12.063	en
dc.identifier.isi	ISI:000257722000037	en
dc.identifier.volume	156	en
dc.identifier.issue	1-3	en
dc.identifier.spage	285	en
dc.identifier.epage	291	en