4.3 Article

Applicability of Fluorescence and Absorbance Spectroscopy to Estimate Organic Pollution in Rivers

Journal

ENVIRONMENTAL ENGINEERING SCIENCE
Volume 31, Issue 12, Pages 653-663

Publisher

MARY ANN LIEBERT, INC
DOI: 10.1089/ees.2014.0064

Keywords

water quality planning and management; organic pollution; surface water quality; spectrophotometry; urban rivers

Funding

  1. MCT/CNPq [14/2010 (471456/2010-1)]
  2. MCT/CNPq/CT-Hidro [22/2009 (142130/2010-9)]
  3. Capes-Fulbright (DRI/CGCI) [040/2010]
  4. MCT/FINEP/CT-Hidro-GRH [01 41000 00]
  5. MCT/FINEP/CT-Hidro-IGRH

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This article explores the applicability of fluorescence and absorbance spectroscopy for estimating organic pollution in polluted rivers. The relationship between absorbance, fluorescence intensity, dissolved organic carbon, biochemical oxygen demand (BOD), chemical oxygen demand (COD), and other water quality parameters were used to characterize and identify the origin and the spatial variability of the organic pollution in a highly polluted watershed. Analyses were performed for the Iguassu River, located in southern Brazil, with area about 2,700 km(2) and similar to 3 million inhabitants. Samples were collect at six monitoring sites covering 107 km of the main river. BOD, COD, nitrogen, and phosphorus concentration indicates a high input of sewage to the river. Specific absorbance at 254 and 285 nm (SUVA(254) and A(285)/COD) did not show significant variation between sites monitored, indicating the presence of both dissolved compounds found in domestic effluents and humic and fulvic compounds derived from allochthonous organic matter. Correlations between BOD and tryptophan-like fluorescence peak (peak T-2, r=0.7560, and peak T-1, r=0.6949) and tyrosine-like fluorescence peak (peak B, r=0.7321) indicated the presence of labile organic matter and thus confirmed the presence of sewage in the river. Results showed that fluorescence and absorbance spectroscopy provide useful information on pollution in rivers from critical watersheds and together are a robust method that is simpler and more rapid than traditional methods employed by regulatory agencies.

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