Predicting organic loading in natural water using spectral fluorescent signatures

Karim Bengraïne, Taha F. Marhaba

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Spectral fluorescent signature (SFS) is a rapid, reagent free and inexpensive technique, which has great potential for environmental monitoring of aqueous systems, especially for predicting dissolved organic carbon (DOC) along natural waters. This technical note aimed to examine the possibility to use SFS associated with partial least squares regression (PLS) to assess the organic loading in natural water. A model was built using samples of water collected between October 1999 and February 2002 on the Passaic River at Little Falls, NJ, USA. A correlation was established between measured DOC, SFS, and the corresponding daily registered flow from United States Geological Survey (USGS) New Jersey's streamflow database. The methodology presented herein looks promising in making use of the significant organic characteristics information contained in a SFS for application and use in spatial and temporal water quality management and treatment.

Original languageEnglish (US)
Pages (from-to)207-211
Number of pages5
JournalJournal of Hazardous Materials
Volume108
Issue number3
DOIs
StatePublished - May 20 2004

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Environmental Chemistry
  • Waste Management and Disposal
  • Pollution
  • Health, Toxicology and Mutagenesis

Keywords

  • Dissolved organic carbon (DOC)
  • Loading
  • New Jersey
  • Partial least square regression (PLS)
  • Spectrofluorescence signature (SFS)
  • Streamflow

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