Urban stream Osówka in Szczecin – how efficiently as possible should the variability of the stream water quality be studied along the road of runoff in time?

Miller, Tymoteusz; Poleszczuk, G.

doi:10.18276/ab.2016.23-05

Cited by 1 publication

(4 citation statements)

References 15 publications

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“…FA provided information on the most important water quality indices that described studied Lake by performing data reduction with minimal loss of original information (Tab. 2) (Najar & Khan 2012, Miller & Poleszczuk 2016. FA for the inflow area emerged 8 significant factors after varimax rotationvarifactors (VF) (describing a total of 81,6% of the variance), which eigenvalues are greater than 1, when for outflow area only 7 VF (with 74,14% variance explained.…”

Section: Resultsmentioning

confidence: 98%

“…FV4 (8%) showed an inflow of hardly decomposable organic matter together with incoming suspensions (correlation with COD-Mn and Ca 2+ ). FV5 (8%) showed sorption of heavy metals by phytoplankton (Chl a and Pb correlation) (Najar & Khan 2012, Rajfur 2013, Loganathan et al 2015, Wang et al 2015, Miller & Poleszczuk 2016. In turn, the first four varifactors of the outflow zone determined that FV1 (23%) and FV2 (13%), correlated with Chl a, Eh, BOD5, NH4 + , TN and TP as well as Chl a, DO, SRP and TP -were responsible for the description of the multiplication processes of phytoplankton biomass and increased competition between phytoplankton and other microorganisms involved in biodegradation processes.…”

Section: Resultsmentioning

confidence: 99%

“…It pointed out the potential origin of pollutants flowing into the lake that destabilized biohydrochemical processes in the inflow zone. In the outflow zone, FA showed a typical system of lake waters that characterizes the reservoir during disturbed self-cleaning process (Einax 1995, Najar & Khan 2012, Loganathan et al 2015, Wang et al 2015, Miller & Poleszczuk 2016.…”

Section: Resultsmentioning

confidence: 99%

“…FA used as a method of data extraction the PCA technique after varimax rotation. CA and FA were conducted on standarized data (Najar & Khan 2012, Miller & Poleszczuk 2016. Canonical discriminant functions were calculated on the raw data using forward and backward methods (Wunderlin et al 2001, Singh et al 2004, Mustapha et al 2013, Thomas et al 2015.…”

Section: Methodsmentioning

confidence: 99%

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<span>Assessment of water quality using chemometric methods - a case study of Rusałka Lake, NW-Poland</span>

Miller

2020

Ecol. Mont

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Chemometric methods, such as cluster analysis, factor analysis and discriminant analysis were applied to identify and assess the quality of lake water. Samples were collected from the Rusałka Lake, located in Szczecin City from September 2012 to September 2015 with frequency once a month. 25 water quality indices were evaluated in particular: Chl a, Eh, temperature, pH, COD-Mn, COD-Cr, BOD5, DO, NO3-, NO2-, NH4+, TN, SRP, TP, Ca2+, Mg2+, Cl-, SO42- ,HCO3-, Fetot, Mntot, Pb, Zn, Cd, Cu. Cluster analysis was performed to determine the similarity in terms of variation of the examined water quality indices and to determine seasonal variation between inflow and outflow areas of the lake. Factor analysis revealed that water quality is shaped by high anthropogenic activities. Discriminant analysis was used for the final assessment of which of the studied variables discriminate between the inflow and outflow zones and seasons. The chemometric approach and results provided useful information on the type of parameters affecting the quality of water in the analyzed lake. The data and information obtained can lead to better understanding of changes which are present in small flow lakes under high anthropopressure.

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Section: Resultsmentioning

confidence: 98%