UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS

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Conference: Bucharest University Faculty of Physics 2015 Meeting


Section: Atomic and Molecular Physics; Astrophysics


Title:
Multivariate statistical factors evaluation of heavy metal pollution in Crisuri Basin


Authors:
C. OPREA(1), D. CUPSA (2), I. TELCEAN (2), M. I. TOMULESCU (2), M. TENTIS (3), E. RADOVICIU (2), A. TEUSDEA (4), M. TODERAS (2), I. BURCA (2), M. OPREA (1), I. GERGELY (3), D. CADAR(5)


Affiliation:
(1) Joint Institute for Nuclear Research, Frank Laboratory of Neutron Physics, 141980 Dubna, Moscow Region, RF

(2) Faculty of Sciences, University of Oradea

3) Department of Crisuri Water Oradea

4) Faculty of Environmental Protection, University of Oradea

5) Department of Environmental Protection, Babes-Bolyai University in Cluj-Napoca



E-mail
coprea2007@yahoo.co.uk


Keywords:
multivariate statistical analysis, heavy metals, Crisuri Basin, pollution factors


Abstract:
The Crisuri Basin, with a total length of 1093 km among which 670 km in Romania, is monitored throughout 18 stations. The pollution indicators as dissolved organic substances, biochemical consumption of oxygen, ammonia, phosphor, nitrogen, heavy metals, exceed the allowed limits in some running water sectors. The present paper will focus on sources identification and evaluation of water pollution with heavy metals in Crisuri Basin. The elements analyzed by different analytical techniques and introduced in databases were As, Cd, Ca, Cu, Fe, Mg, Hg, Na, Ni, Pb, Zn, N-NH4, N-NO2, N-NO3, P-PO4, fixed residues, S-SO4, Cl, phenols and oil compounds. The goal of this research is the determination of the most important factors causing the change of the state of some components of water ecosystems, the setting of observation variables and control parameters in the Crisuri water natural complexes. The authors proposed the multivariate statistical analysis as the assessing means of realization of the project. The factors were assigned to pollution sources as municipal waste leachate in running waters, local industry discharges, agriculture pollution and geological fingerprints.