Abstract
This chapter deals with the successive application of self-organizing map (SOM) classification and Hasse diagram technique (HDT) as chemometric tools for assessment of river water and sediment quality. Both studies are carried out by using long-term water quality monitoring data from the Struma River catchment, Bulgaria and lake sediment samples from Mar Menor lagoon in Spain. The advantages of the SOM algorithm for advanced visualization and classification of large datasets are used for proper selection of chemical parameters being most effective in quality assessment combined with some state directives for surface water quality parameters in the river water study and as preprocessing procedure of the initial sediment data matrix. The simultaneous application of the SOM methodology or legislation norms with Hasse diagram technique allows to visualize the spatial and temporal evolution of water quality parameters or to reveal specific sediment pollution patterns.
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Tsakovski, S., Simeonov, V. (2014). Hasse Diagram Technique Contributions to Environmental Risk Assessment. In: Brüggemann, R., Carlsen, L., Wittmann, J. (eds) Multi-indicator Systems and Modelling in Partial Order. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8223-9_14
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DOI: https://doi.org/10.1007/978-1-4614-8223-9_14
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