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

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

CB - Analytická chemie, separace

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2005

Kód důvěrnosti údajů

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

Název periodika

Water SA

ISSN

0378-4738

e-ISSN

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Svazek periodika

36

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

ZA - Jihoafrická republika

Počet stran výsledku

6

Strana od-do

417-422

Kód UT WoS článku

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EID výsledku v databázi Scopus

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