ASSESSMENT OF DRINKING WATER QUALITY USING STATISTICAL ANALYSIS: A CASE STUDY

作者：Radulescu C^*; Bretcan P; Pohoata A; Tanislav D; Stirbescu R M

来源：Romanian Journal of Physics, 2016, 61(9-10): 1604-1616.

• ICP-MS
• heavy metal
• statistical analysis

The analysis of drinking-water for metal contamination is an important step in en-suring human and environmental health. During the investigation, physicochemical properties and contents of several metals including Pb, Cd, Cr, Ni, Cu, Mn, Al, Zn, Fe and Ba were analyzed in order to determine the water quality in 75 wells from Dambovita County, Romania during the year of 2015. The concentrations of these metals (mu g/L) in drinking-water samples collected from different wells used by people from rural area, mainly for own consumption, were determined by ICP-MS and compared with levels reported by Romanian regulation and World Health Organization, in order to establish if these metals could be responsible for some health problems in rural area. The data set obtained was subjected to the PCA analysis to identify water quality variables. The correlation analysis showed a high degree of metal association in the order: Ba/Sr > Mg/Ca > Sr/Ca > Ba/Ca > Fe/Ca > Ba/Fe > Ni/Cr > > Fe/Sr > Fe/Ba > Fe/Ni > Cu/Cr > Cu/Pb > Zn/Pb.

• 出版日期2016