Water quality assessment using SVD-based principal component analysis of hydrological data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F05%3A00012969" target="_blank" >RIV/61989100:27360/05:00012969 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Water quality assessment using SVD-based principal component analysis of hydrological data

Original language description

Principal component analysis (PCA) based on singular value decomposition (SVD) of hydrological data was tested for water quality assessment. Using two case studies of waste- and drinking water, PCA via SVD was able to find latent variables which explain80.8 % and 83.7 % of the variance, respectively. By means of scatter and loading plots, PCA revealed the relationships among samples and hydrochemical parameters which were also confirmed by factor analysis (FA).In the case of wastewater, these latent variables clearly displayed changes of water composition overtime. Drinking water samples were clustered into four groups which were characterized by their typical water composition. On the basis of these results PCA was found to be a suitable technique for water quality assessment.

Czech name

Hodnocení kvality vody s použitím analýzy hlavních komponent hydrologických dat založené na SVD

Czech description

Kvalita pitných a odpadních vod byla hodnocena metodou hlavních komponent na bázi algoritmu SVD. Byly nalezeny latentní proměnné, které charakterizují složení pitných a odpadních vod. Jejich interpretace byla ověřena pomocí faktorové analýzy.

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

CB - Analytical chemistry, separation

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2005

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Water SA

ISSN

0378-4738

e-ISSN

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Volume of the periodical

36

Issue of the periodical within the volume

4

Country of publishing house

ZA - SOUTH AFRICA

Number of pages

6

Pages from-to

417-422

UT code for WoS article

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EID of the result in the Scopus database

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