2008
DOI: 10.1016/j.jhazmat.2007.12.063
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Dimensionality of heavy metal distribution in waste disposal sites using nonlinear dynamics

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Cited by 5 publications
(1 citation statement)
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“…A prediction map of water quality was prepared for the entire study area, and the basic approach was predicted to be useful in assessing water quality at other locations where comprehensive water quality data may be more difficult to obtain. Modis et al (2008) identified, using the Grassberger-Procaccia correlation dimension (CD) algorithm, nonlinear deterministic and chaotic dynamic behavior in the spatial pattern of As, Mn, and Zn concentrations in a coal waste disposal site in Russia. The alternative nonlinear dynamics approach that was employed in the study may complement conventional geostatistical studies and also be used to estimate the risk and the subsequent screening and selection of a feasible remediation schemes in wider mining and waste disposal sites.…”
mentioning
confidence: 99%
“…A prediction map of water quality was prepared for the entire study area, and the basic approach was predicted to be useful in assessing water quality at other locations where comprehensive water quality data may be more difficult to obtain. Modis et al (2008) identified, using the Grassberger-Procaccia correlation dimension (CD) algorithm, nonlinear deterministic and chaotic dynamic behavior in the spatial pattern of As, Mn, and Zn concentrations in a coal waste disposal site in Russia. The alternative nonlinear dynamics approach that was employed in the study may complement conventional geostatistical studies and also be used to estimate the risk and the subsequent screening and selection of a feasible remediation schemes in wider mining and waste disposal sites.…”
mentioning
confidence: 99%