A novel approach combining self-organizing map and parallel factor analysis for monitoring water quality of watersheds under non-point source pollution.

ABSTRACT: High content of organic matter in the downstream of watersheds underscored the severity of non-point source (NPS) pollution. The major objectives of this study were to characterize and quantify dissolved organic matter (DOM) in watersheds affected by NPS pollution, and to apply self-organizing map (SOM) and parallel factor analysis (PARAFAC) to assess fluorescence properties as proxy indicators for NPS pollution and labor-intensive routine water quality indicators. Water from upstreams and downstreams was sampled to measure dissolved organic carbon (DOC) concentrations and excitation-emission matrix (EEM). Five fluorescence components were modeled with PARAFAC. The regression analysis between PARAFAC intensities (Fmax) and raw EEM measurements indicated that several raw fluorescence measur

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC4630639 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature