engleski

Spatial and temporal classification of pollution indicators of municipal wastewater in Split

In this paper a set of quantitative descriptive and analytical data of pollution indicators of municipal wastewater wider Split area were analysed by multivariate statistical technique. Multivariate statistical technique such as cluster analysis (CA), factor analysis (FA) and principal component analysis (PCA) were employed to investigate spatial and temporal classification of pollution indicators on three drain locations over a period of 4 years (2006-2009). Multivariate statistical techniques for evaluation and interpretation of large complex data sets used in this study provide better insight into the information about water quality and make a decision concerning the design of monitoring network for effective management of water resources much easier. The implementation of these analyses required the proceedings in the preliminary study for the selection of treatment technologies and making the project of device and a precondition for setting up the complex mathematical models that will enable an effective control and optimize the process of disposal and wastewater treatment. The obtained results show and explain similarity or dissimilarity between the sampling locations and period of time, identifications of pollution indicators responsible for temporal and spatial variations and hidden factors explaining the structure of the database.

municipal wastewater; pollution indicators; statistical analysis; factor analysis; principal component analysis

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