Robust multivariate analysis of compositional data of treated wastewaters

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F19%3A10242031" target="_blank" >RIV/61989100:27360/19:10242031 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27710/19:10242031

Výsledek na webu

<a href="https://link.springer.com/article/10.1007%2Fs12665-019-8248-6" target="_blank" >https://link.springer.com/article/10.1007%2Fs12665-019-8248-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s12665-019-8248-6" target="_blank" >10.1007/s12665-019-8248-6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Robust multivariate analysis of compositional data of treated wastewaters

Popis výsledku v původním jazyce

A dataset of water samples collected behind a biological wastewater treatment plant (BWWTP) during a year were processed as compositional data by a logratio transformation and then analysed by a robust principal component analysis (RPCA) and characterized the robust Mahalanobis distances (RMDs). For this purpose, covariance matrices were computed using a minimum covariance determinant (MCD) algorithm. Raw and transformed 11 physico-chemical parameters were reduced to 4 robust principal components (RPCs). Correlations between centre logratio (clr) transformed parameters and RPCs were found to be more realistic than those between the parameters and RPCs of raw data. The 1st and 2nd RPCs represented nitrogen and phosphorus compounds, respectively. Their temporal changes were explained by some processes occurring during biological wastewater treatment. A nitrification process was also demonstrated by the temporal changes of the raw and clr transformed concentrations of ammonium. The robust and classical Mahalanobis distances were computed from the raw and isometric logratio (ilr) transformed data to show the overall temporal changes of treated wastewater composition and to detect outlaying samples.

Název v anglickém jazyce

Robust multivariate analysis of compositional data of treated wastewaters

Popis výsledku anglicky

A dataset of water samples collected behind a biological wastewater treatment plant (BWWTP) during a year were processed as compositional data by a logratio transformation and then analysed by a robust principal component analysis (RPCA) and characterized the robust Mahalanobis distances (RMDs). For this purpose, covariance matrices were computed using a minimum covariance determinant (MCD) algorithm. Raw and transformed 11 physico-chemical parameters were reduced to 4 robust principal components (RPCs). Correlations between centre logratio (clr) transformed parameters and RPCs were found to be more realistic than those between the parameters and RPCs of raw data. The 1st and 2nd RPCs represented nitrogen and phosphorus compounds, respectively. Their temporal changes were explained by some processes occurring during biological wastewater treatment. A nitrification process was also demonstrated by the temporal changes of the raw and clr transformed concentrations of ammonium. The robust and classical Mahalanobis distances were computed from the raw and isometric logratio (ilr) transformed data to show the overall temporal changes of treated wastewater composition and to detect outlaying samples.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20701 - Environmental and geological engineering, geotechnics

Projekt

<a href="/cs/project/EF16_019%2F0000853" target="_blank" >EF16_019/0000853: Institut environmentálních technologií - excelentní výzkum</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Environmental Earth Sciences

ISSN

1866-6280

e-ISSN

—

Svazek periodika

78

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

248

Kód UT WoS článku

000463670300001

EID výsledku v databázi Scopus

—