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Identification of the current and expected future pollution sources to riversis crucial for sound environmental management. For this purpose numerousapproaches were proposed that can be clustered under physical based models,stable isotope analysis and mixing methods, mass balance methods, time seriesanalysis, land cover analysis, and spatial statistics. Another extremely commonmethod is Principal Component Analysis, as well as its modifications, such asAbsolute Principal Component Score. they have been applied to the sourceidentification problems for nitrogen entry to rivers. This manuscript ischecking whether PCA can really be a powerful method to uncover nitrogenpollution sources considering its theoretical background and assumptions.Moreover, slightly similar techniques, Independent Component Analysis andFactor Analysis will also be considered.

On the Use of Dimension Reduction or Signal Separation Methods for Nitrogen River Pollution Source Identification