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  1. Stochastic Environmental Research and Risk Assessment
  2. Stochastic Environmental Research and Risk Assessment : Volume 29
  3. Stochastic Environmental Research and Risk Assessment : Volume 29, Issue 6, August 2015
  4. Statistical methods as indicator of offset printing wastewater quality
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Stochastic Environmental Research and Risk Assessment : Volume 31
Stochastic Environmental Research and Risk Assessment : Volume 30
Stochastic Environmental Research and Risk Assessment : Volume 29
Stochastic Environmental Research and Risk Assessment : Volume 29, Issue 8, December 2015
Stochastic Environmental Research and Risk Assessment : Volume 29, Issue 7, October 2015
Stochastic Environmental Research and Risk Assessment : Volume 29, Issue 6, August 2015
Drought assessment using a multivariate drought index in the Luanhe River basin of Northern China
Trends in the average temperature in Finland, 1847–2013
Scale-dependent correlations between soil heavy metals and As around four coal-fired power plants of northern Greece
Environmental stochasticity promotes copper bioaccumulation and bioenergetic response in tilapia
A stepwise-cluster forecasting approach for monthly streamflows based on climate teleconnections
Spatiotemporal trends of aridity index in Shiyang River basin of northwest China
Predictor selection for streamflows using a graphical modeling approach
A new assessment approach for urban ecosystem health basing on maximum information entropy method
Reliability analysis of offshore structures within a time varying environment
Development and application of a stochastic optimization model for groundwater management: crop pattern and conjunctive use consideration
Climacogram versus autocovariance and power spectrum in stochastic modelling for Markovian and Hurst–Kolmogorov processes
Soil acidity adaptive control problem
A new approach to spatial data interpolation using higher-order statistics
Estimation of confidence interval for hydrological design value for some continuous distributions under complete and censored samples
Statistical methods as indicator of offset printing wastewater quality
Bayesian logistic regression for presence-only data
Stochastic Environmental Research and Risk Assessment : Volume 29, Issue 5, July 2015
Stochastic Environmental Research and Risk Assessment : Volume 29, Issue 4, May 2015
Stochastic Environmental Research and Risk Assessment : Volume 29, Issue 3, March 2015
Stochastic Environmental Research and Risk Assessment : Volume 29, Issue 2, February 2015
Stochastic Environmental Research and Risk Assessment : Volume 29, Issue 1, January 2015
Stochastic Environmental Research and Risk Assessment : Volume 28
Stochastic Environmental Research and Risk Assessment : Volume 27
Stochastic Environmental Research and Risk Assessment : Volume 26
Stochastic Environmental Research and Risk Assessment : Volume 25
Stochastic Environmental Research and Risk Assessment : Volume 24
Stochastic Environmental Research and Risk Assessment : Volume 23
Stochastic Environmental Research and Risk Assessment : Volume 22
Stochastic Environmental Research and Risk Assessment : Volume 21
Stochastic Environmental Research and Risk Assessment : Volume 20
Stochastic Environmental Research and Risk Assessment : Volume 19
Stochastic Environmental Research and Risk Assessment : Volume 18
Stochastic Environmental Research and Risk Assessment : Volume 17
Stochastic Environmental Research and Risk Assessment : Volume 16
Stochastic Environmental Research and Risk Assessment : Volume 15
Stochastic Environmental Research and Risk Assessment : Volume 14
Stochastic Environmental Research and Risk Assessment : Volume 13
Stochastic Environmental Research and Risk Assessment : Volume 12
Stochastic Environmental Research and Risk Assessment : Volume 11

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Statistical methods as indicator of offset printing wastewater quality

Content Provider Springer Nature Link
Author Kiurski, Jelena S. Oros, Ivana B. Ralevic, Nebojsa M. Stefav, Jasmina
Copyright Year 2014
Abstract This study presents the application of different chemometric approaches on the dataset obtained during the monitoring of offset printing wastewater quality in Pozarevac, Serbia. Collecting of wastewaters was performed during a working week, five working days, in five offset printing facilities. Twenty five physico-chemical parameters were analyzed in wastewaters using the standard analytical and instrumental methods. The obtained dataset were subjected to cluster analysis and principal component analysis. Cluster analysis showed four groups of similarity between the printing facilities reflecting the different physico-chemical characteristics and pollution levels of studied wastewaters. Principal component analysis identified two principal components responsible for the data structure explaining 86 % of total variance of offset printing wastewaters. The obtained principal components indicate the parameters that are the most responsible for variation of offset printing wastewaters. This study clearly demonstrates the usefulness of chemometric methods in analysis of printing wastewater quality, identification of the main sources and understanding of spatial variations in wastewater quality. Also, it could be useful for the selection of an appropriate wastewater treatment plant.
Starting Page 1709
Ending Page 1720
Page Count 12
File Format PDF
ISSN 14363240
Journal Stochastic Environmental Research and Risk Assessment
Volume Number 29
Issue Number 6
e-ISSN 14363259
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2014-12-31
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Chemometric analysis Offset printing Organic–inorganic indicators Quality Wastewater Math. Application in Environmental Science Earth Sciences Probability Theory and Stochastic Processes Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Computational Intelligence Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution
Content Type Text
Resource Type Article
Subject Environmental Chemistry Environmental Engineering Water Science and Technology Safety, Risk, Reliability and Quality
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