title: Investigation of priorities in water quality management based on correlations and variations.
abstract: The development of water quality assessment strategies investigating spatial and temporal changes caused by natural and anthropogenic phenomena is an important tool in management practices. This paper used cluster analysis, water quality index method, sensitivity analysis and canonical correlation analysis to investigate priorities in pollution control activities. Data sets representing 22 surface water quality parameters were subject to analysis. Results revealed that organic pollution was serious threat for overall water quality in the region. Besides, oil and grease, lead and mercury were the critical variables violating the standard. In contrast to inorganic variables, organic and physical-inorganic chemical parameters were influenced by variations in physical conditions (discharge, temperature). This study showed that information produced based on the variations and correlations in water quality data sets can be helpful to investigate priorities in water management activities. Moreover statistical techniques and index methods are useful tools in data - information transformation process.
authors: Dokuz Eylul University, Faculty of Engineering, Department of Environmental Engineering, Tinaztepe Campus, Buca, 35160 Izmir, Turkey. hulya.boyacioglu@deu.edu.tr
authors: Hülya
authors: H
authors: Boyacıoğlu
authors: Vildan
authors: V
authors: Gündogdu
authors: Hayal
authors: H
authors: Boyacıoğlu
mesh_terms: D016000:Cluster Analysis; D003247:Conservation of Natural Resources / Q000379:methods*; D004784:Environmental Monitoring / Q000379:methods*; D005618:Fresh Water / Q000737:chemistry*; D015999:Multivariate Analysis; D014874:Water Pollutants, Chemical / Q000032:analysis; D014877:Water Pollution, Chemical / Q000706:statistics & numerical data*; D060753:Water Quality
chemical_list: D014874:Water Pollutants, Chemical