Chemometric analysis on arsenic contamination of surface water in Kavala Prefecture
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2021-03-11 14:51
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KAMPANTAIS, Eustratios; MITTAS, Nikolaos; MITKIDOU, Sophia; KOKKINOS, Nikolaos; BABOUKI, Despoina; NTAKAKI, Dafni; SPANOS, Thomas; XATZICHRISTOU, Christina. Chemometric analysis on arsenic contamination of surface water in Kavala Prefecture. In: Environmental Toxicants in Freshwater and Marine Ecosystems in the Black Sea Basin BSB27-MONITOX. 8-11 septembrie 2020, Kavala. Kavala, Greece: International Hellenic University,, 2020, p. 50.
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Environmental Toxicants in Freshwater and Marine Ecosystems in the Black Sea Basin 2020
Conferința "Environmental Toxicants in Freshwater and Marine Ecosystems in the Black Sea Basin"
Kavala, Greece, 8-11 septembrie 2020

Chemometric analysis on arsenic contamination of surface water in Kavala Prefecture


Pag. 50-50

Kampantais Eustratios, Mittas Nikolaos, Mitkidou Sophia, Kokkinos Nikolaos, Babouki Despoina, Ntakaki Dafni, Spanos Thomas, Xatzichristou Christina
 
International Hellenic University
 
Proiect:
BSB27

MONITOX - Black Sea Basin interdisciplinary cooperation network for sustainable joint monitoring of environmental toxicants migration, improved evaluation of ecological state and human health impact of harmful substances, and public exposure prevention”


 
Disponibil în IBN: 3 decembrie 2020


Rezumat

The presence of arsenic in water causes most of the problems in the environment, as it exhibits high mobility over a wide range of pH values and redox conditions. Several factors have been identified that affect the fate and transport processes of arsenic in groundwater and surface water, such as the presence of competing - synergistic ions. Manganese (Mn2+) and iron (Fe2+) ions are natural indicators of the presence of As ions. On the contrary, nitrate ions at normal concentrations in groundwater certifies the existence of oxidative conditions, which are not conducive to increase the concentration of arsenic in water. In the current research work, the correlation of arsenic concentration with the chemical parameters monitored in the surface water systems under the Water Framework Directive 2000/60/EC was investigated. Data and measurements of this study were obtained from the monitoring program of surface water systems of the Kavala Prefecture, an area with high concentrations of arsenic in groundwater. In order to investigate and model the relationship between the set of chemical parameters and As measurements, the Mixed Effects Models (MEM) were used, whereas we made use of ordination methods to graphically explore patterns in the multivariate set of the examined parameters.