Heavy metal fingerprinting in surface water using chemometrics

BOYACIOĞLU H., BOYACIOĞLU H.

KUWAIT JOURNAL OF SCIENCE & ENGINEERING, cilt.38, ss.125-139, 2011 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38
  • Basım Tarihi: 2011
  • Dergi Adı: KUWAIT JOURNAL OF SCIENCE & ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.125-139
  • Anahtar Kelimeler: principal component analysis, heavy metal pollution, multidimensional scaling, water quality fingerprint, PRINCIPAL COMPONENT, RUNOFF, MANAGEMENT, QUALITY
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

In this study, chemometric methods were applied to fingerprint heavy metals in surface water in Tahtali Basin, Turkey, and were found to assist water managers in determining drinking water quality. Principal component analysis (PCA) was used to determine pollutant sources governing water quality, and Multidimensional Scaling (MDS) was used to identify spatial differences in the basin. Results showed that the level of heavy metals found in surface water was predominantly influenced by urban runoff (mainly in residential areas) and agricultural runoff. However, heavy metal concentrations were found to be lower than the threshold values set by European drinking water standards. Therefore, heavy metal levels in surface water were "acceptable" for a drinking water supply. This study showed that chemometric methods can assist water managers fingerprinting surface water quality.