Screening analysis of river seston downstream of an effluent discharge point using near-infrared reflectance spectrometry and wavelet-based spectral region selection.

Universidade Federal da Paraíba, CCEN, Departamento de Química, Caixa Postal 5093, 58051-970-João Pessoa, PB, Brazil.
Water Research (Impact Factor: 4.66). 09/2005; 39(13):3089-97. DOI: 10.1016/j.watres.2005.05.018
Source: PubMed

ABSTRACT A methodology for screening analysis of river seston downstream of an industry effluent by using near-infrared reflectance spectrometry was developed. A wavelet transform (WT)-based strategy is used to select a spectral region in which the effect of the effluent on the optical properties of the seston is more evident. The methodology was applied to samples from the River Mumbaba in northeast Brazil. Four sites were monitored: two upstream (1 and 2), one at the discharge point of the effluent (3), and another downstream (4). Soft Independent Modelling of Class Analogies (SIMCA) models were built for site 1 and were then applied to the classification of samples from sites 2 and 4. The results reveal that the WT-based spectral region selection is essential to ensure good sensitivity and specificity with respect to the detection of events associated to the effluent discharges at site 3. In fact, the changes in site 4 caused by the effluent are masked by other environmental factors when the full spectrum is employed.

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Maintaining a clean water supply is one of the key challenges facing humanity today. Pollution, rising population and climate change are just some of the factors putting increased pressure on our limited water resources. Contamination of the water supply presents a high risk to public health, security and the environment; nevertheless, no adequate real-time methods exist to detect the wide range of potential contaminants. There is a need for rapid, low cost, multi-target systems for water quality monitoring. Information-rich, multivariate techniques such as vibrational spectroscopy have been proposed for this purpose. This review presents developments in the applications of vibrational (NIR, MIR and Raman) spectroscopy to water quality monitoring over the past 20 years, identifies emerging technologies and discusses future challenges.
    Critical Reviews in Environmental Science and Technology 10/2011; 2011(Early Version). · 3.38 Impact Factor


Available from
May 15, 2014