Relationship between heavy metal distribution in sediment samples and their ecotoxicity by the use of the Hasse diagram technique

Many studies assessing the quality of sediments and their pollution impact use monitoring data consisting predominantly of chemical indicators. Recently, ecotoxicity estimates have been used as very important parameters of the ecological state of sediment samples. Thus, a more complete sediment risk assessment is achieved and more reliable information on the sediment pollution history is extracted. The data interpretation could be improved if multivariate statistical techniques were applied to data classification, modelling and interpretation. The starting classification of the data was performed using self-organizing maps (SOM) approach in order to reveal specific relationship patterns for objects and for variables. The original element of the present study is the use of the Hasse diagram technique (HDT) for partial ordering in order to explain some specific relations between the chemical indicators analysed (heavy metal contentin different sediment compartments) and the ecotoxicity tests for acute and chronic toxicity. In principle, a reliable estimate of the pollution impact of a large environmental object (the Mar Menor lagoon in Spain) is achieved. The specific role of each one of the five heavy metals involved (Zn, Cu, Mn, Pb, and Cd) is interpreted in the context of the additional ecotoxicity tests

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Tsakovski S. Kudlak B. Simeonov V. Wolska L. García G. y Namiesnik J. Relationship between heavy metal distribution in sediment samples and their ecotoxicity by the use of the Hasse diagram technique. Elsevier B.V., 2012. https://doi.org/10.1016/j.aca.2011.12.052

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Resource type Article
Date of creation 2024-11-05
Date of last revision 2025-01-20
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Metadata identifier ba7d6e56-68a6-5013-bebc-ef88fb6be6f3
Metadata language Spanish
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High-value dataset category Earth observation and environment
ISO 19115 topic category biota
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Name of the dataset creator Tsakovski, S., Kudlak, B., Simeonov, V., Wolska, L., García, G. y Namiesnik, J.
Name of the dataset editor Elsevier B.V.
Other identifier DOI: 10.1016/j.aca.2011.12.052
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Email of the dataset creator stsakovski@chem.uni-sofia.bg
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