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CHALLENGING ANALYTICAL TASK: ANALYSIS AND MONITORING OF ARSENIC SPECIES IN WATER
Autori: Vladana N. Rajakovic-Ognjanovic
Data aparitiei: Septembrie / 2014
Revista: Environmental Engineering and Management JournalVol. 13Nr. 9
ISSN: 1843 - 3707
Pret: 25.00 RON    
N.A.
Abstract
Analysis and monitoring of arsenic is still a challenging analytical task. Due to its complex behaviour (different forms of arsenic
that can be present depending on pH and oxidation states of arsenic) as well as demanding analytical procedures and instrumental
tools for control of arsenic concentration in drinking water which is set to 10 μg L–1, there are still some open questions and
issues when arsenic is the scientific topic. In this paper the idea was to use a multivariate statistical approach to identify the key
variables and their relation to high arsenic concentration in surface waters of Serbia. The main idea was to identify and connect
the key water quality parameters with arsenic concentration and to suggest adequate treatment technologies for water purification
and arsenic removal. The data set for multivariate statistical approach were water quality parameters of surface water samples
from Serbia. The artificial neural network (ANN) was applied for data analysis. After applying ANN the results showed strong
relation between arsenic concentration and Ptot, SO4
2–, COD, carbonate, Norg, DO, and SiO2 content. What could be concluded
from the obtained results is that high concentration of organic matter, proportional to nutrients (nitrogen and phosphorus), silica
(SiO2) and dissolved oxygen highly correlates with the dissolved arsenic which implies that the most adequate technology for the
water treatment could be precipitation, which in general includes coagulation. What remains unquestioned and needs to be
performed is arsenic speciation analysis.


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