Multivariate statistical analysis of surface water quality based on correlations and variations in the data set
- 30 September 2010
- journal article
- Published by Elsevier BV in Desalination
- Vol. 260 (1-3), 129-136
- https://doi.org/10.1016/j.desal.2010.04.053
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Predicting the Longitudinal Dispersion Coefficient Using Support Vector Machine and Adaptive Neuro-Fuzzy Inference System TechniquesEnvironmental Engineering Science, 2009
- Prediction of municipal solid waste generation with combination of support vector machine and principal component analysis: A case study of MashhadEnvironmental Progress & Sustainable Energy, 2008
- Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, JapanEnvironmental Modelling & Software, 2007
- Identification and distribution of contamination sources in the Ebro river basin by chemometrics modelling coupled to geographical information systemsTalanta, 2006
- Evaluation of river water quality monitoring stations by principal component analysisWater Research, 2005
- Assessment of the surface water quality in Northern GreeceWater Research, 2003
- Multivariate statistical and GIS-based approach to identify heavy metal sources in soilsEnvironmental Pollution, 2001
- Evaluation of Ground Water Monitoring Network by Principal Component AnalysisGroundwater, 2001
- Review of aquatic monitoring program designWater Research, 1996
- RELATIONS BETWEEN TWO SETS OF VARIATESBiometrika, 1936