Method for outlier detection : a tool to assess the consistency between laboratory data and ultraviolet-visible absorbance spectra in wastewater samples

Reliable estimations of the evolution of water quality parameters by using in situ technologies make it possible to follow the operation of a wastewater treatment plant (WWTP), as well as improving the understanding and control of the operation, especially in the detection of disturbances. However,...

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Détails bibliographiques
Publié dans:Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 69(2014), 11 vom: 21., Seite 2305-14
Auteur principal: Zamora, D (Auteur)
Autres auteurs: Torres, A
Format: Article en ligne
Langue:English
Publié: 2014
Accès à la collection:Water science and technology : a journal of the International Association on Water Pollution Research
Sujets:Journal Article Water Pollutants, Chemical
Description
Résumé:Reliable estimations of the evolution of water quality parameters by using in situ technologies make it possible to follow the operation of a wastewater treatment plant (WWTP), as well as improving the understanding and control of the operation, especially in the detection of disturbances. However, ultraviolet (UV)-Vis sensors have to be calibrated by means of a local fingerprint laboratory reference concentration-value data-set. The detection of outliers in these data-sets is therefore important. This paper presents a method for detecting outliers in UV-Vis absorbances coupled to water quality reference laboratory concentrations for samples used for calibration purposes. Application to samples from the influent of the San Fernando WWTP (Medellín, Colombia) is shown. After the removal of outliers, improvements in the predictability of the influent concentrations using absorbance spectra were found
Description:Date Completed 31.07.2014
Date Revised 06.06.2014
published: Print
Citation Status MEDLINE
ISSN:0273-1223
DOI:10.2166/wst.2014.139