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Papers by Eleni Farmaki

Research paper thumbnail of Artificial neural networks predictive models. A case study: carbon and bromine concentrations prediction based on chlorination time

Issue 1, 2013

Artificial neural networks (ANNs) are being used increasingly to predict water variables. This st... more Artificial neural networks (ANNs) are being used increasingly to predict water variables. This study offers an alternative approach to quantify the relationship between time of chlorination in potable water (due to convectional treatment procedure) and chlorination by-products concentration (expressed as carbon and bromine) with an ANN model, i.e., capturing non-linear relationships among the water quality variables. Thus, carbon and bromine concentrations in potable water (the second chosen due to the toxicity of brominated trihalomethanes, THMs) were predicted using artificial neural networks (ANNs) based mainly on multi-layer perceptrons (MLPs) architecture. The chlorination (detention) time as much as 58 hours in Athens distributed network, comprised the input variables to the ANNs models. Moreover, to develop an ANN model for estimating carbon and bromine, the available data set was partitioned into training, validation and test set. In order to reach an optimum amount of hidde...

Research paper thumbnail of Current status of the metal pollution of the environment of Greece - a review

Issue 3, 2013

Pollution from metals and metalloids of the environment of Greece seemed to attract many research... more Pollution from metals and metalloids of the environment of Greece seemed to attract many researchers and elemental pollutants in air, soil and water have been determined and studied systematically during the last decade. The most recent of these studies, concerning the last five years (2003 to 2008), were reviewed and the major problems of the occurrence of heavy metals in the country’s environment were pointed out. Regarding the atmospheric environment, the chemical characterization of particulate matter of the big Greek cities attracted the interest of many authors. Heavy metals and As represented an important fraction of the particulate matter of the atmosphere of Greek cities, with increased content in inhalable fraction. In addition, many works studied the metal content of soil and plants of the Athenian forests, among with agricultural soils from the countryside. Copper, Fe and Cd were identified as the most accumulated metals that may pose a long-term threat to soil and aquat...

Research paper thumbnail of Supplementary data Aquaculture impact STOTEN 2014

Research paper thumbnail of Environmental impact of intensive aquaculture: Investigation on the accumulation of metals and nutrients in marine sediments of Greece

Science of The Total Environment, 2014

Research paper thumbnail of Comparative use of artificial neural networks for the quality assessment of the water reservoirs of Athens

Journal of Water Supply: Research and Technology—AQUA, 2013

Research paper thumbnail of Artificial Neural Networks in water analysis: Theory and applications

International Journal of Environmental Analytical Chemistry, 2010

Research paper thumbnail of Elemental Content and Total Antioxidant Activity of Salvia fruticosa

Food Analytical Methods, 2009

Research paper thumbnail of Occurrence of endocrine disrupters and selected pharmaceuticals in Aisonas River (Greece) and environmental risk assessment using hazard indexes

Environmental Science and Pollution Research, 2011

Research paper thumbnail of A comparative chemometric study for water quality expertise of the Athenian water reservoirs

Environmental Monitoring and Assessment, 2012

Research paper thumbnail of Comparative use of artiŊcial neural networks for the discrimination of the water reservoirs of Athens according to their elemental content

Research paper thumbnail of Geographical Characterization of Greek Olive Oils Using Rare Earth Elements Content and Supervised Chemometric Techniques

Research paper thumbnail of Supplementary data Aquaculture impact STOTEN 2014

Research paper thumbnail of Supplementary data Aquaculture impact STOTEN 2014

Research paper thumbnail of Geographical Characterization of Greek Olive Oils Using Rare Earth Elements Content and Supervised Chemometric Techniques

Research paper thumbnail of Artificial neural networks predictive models. A case study: carbon and bromine concentrations prediction based on chlorination time

Research paper thumbnail of Geographical Characterization of Greek Olive Oils Using Rare Earth Elements Content and Supervised Chemometric Techniques

Research paper thumbnail of MULTIVARIATE NON-PARAMETRIC CLASSIFICATION METHODS FOR DETERMINING THE ORIGIN OF URBAN WATER NETWORK LEAKAGES

The prompt identification of water network leakages is of utmost importance for public health rea... more The prompt identification of water network leakages is of utmost importance for public health reasons as well as economic factors and costs incurred to both the customer and the company operating the network [1]. In this work, 311 water samples located in basements and other places within the area of Athens, Greece were analyzed photometrically for Al, NO2-, NH4+, Cl- and NO3-. Sample conductivities were also recorded. Samples belonged to one of three classes: drinking water (DW), wastewater (WW) and of unknown origin (U) according to data provided by the technical departments of EYDAP SA. The empirical interpretation of the analyte levels measured led to 48.6%, 80.8% and 90.0% correct classification of DW, WW and U samples respectively. The overall correct classification was 63.3%. For the construction of objective models, Classification and Regression Trees (C&RT) and Artificial Neural Networks (ANNs) were used as data were not normally distributed and the use of non-parametric te...

Research paper thumbnail of Environmental impact of intensive aquaculture: Investigation on the accumulation of metals and nutrients in marine sediments of Greece

Science of The Total Environment, 2014

Research paper thumbnail of Comparative use of artificial neural networks for the quality assessment of the water reservoirs of Athens

Journal of Water Supply: Research and Technology - AQUA, 2013

Research paper thumbnail of Artificial neural networks in water analysis: Theory and applications

International Journal of Environmental Analytical Chemistry, 2010

Research paper thumbnail of Artificial neural networks predictive models. A case study: carbon and bromine concentrations prediction based on chlorination time

Issue 1, 2013

Artificial neural networks (ANNs) are being used increasingly to predict water variables. This st... more Artificial neural networks (ANNs) are being used increasingly to predict water variables. This study offers an alternative approach to quantify the relationship between time of chlorination in potable water (due to convectional treatment procedure) and chlorination by-products concentration (expressed as carbon and bromine) with an ANN model, i.e., capturing non-linear relationships among the water quality variables. Thus, carbon and bromine concentrations in potable water (the second chosen due to the toxicity of brominated trihalomethanes, THMs) were predicted using artificial neural networks (ANNs) based mainly on multi-layer perceptrons (MLPs) architecture. The chlorination (detention) time as much as 58 hours in Athens distributed network, comprised the input variables to the ANNs models. Moreover, to develop an ANN model for estimating carbon and bromine, the available data set was partitioned into training, validation and test set. In order to reach an optimum amount of hidde...

Research paper thumbnail of Current status of the metal pollution of the environment of Greece - a review

Issue 3, 2013

Pollution from metals and metalloids of the environment of Greece seemed to attract many research... more Pollution from metals and metalloids of the environment of Greece seemed to attract many researchers and elemental pollutants in air, soil and water have been determined and studied systematically during the last decade. The most recent of these studies, concerning the last five years (2003 to 2008), were reviewed and the major problems of the occurrence of heavy metals in the country’s environment were pointed out. Regarding the atmospheric environment, the chemical characterization of particulate matter of the big Greek cities attracted the interest of many authors. Heavy metals and As represented an important fraction of the particulate matter of the atmosphere of Greek cities, with increased content in inhalable fraction. In addition, many works studied the metal content of soil and plants of the Athenian forests, among with agricultural soils from the countryside. Copper, Fe and Cd were identified as the most accumulated metals that may pose a long-term threat to soil and aquat...

Research paper thumbnail of Supplementary data Aquaculture impact STOTEN 2014

Research paper thumbnail of Environmental impact of intensive aquaculture: Investigation on the accumulation of metals and nutrients in marine sediments of Greece

Science of The Total Environment, 2014

Research paper thumbnail of Comparative use of artificial neural networks for the quality assessment of the water reservoirs of Athens

Journal of Water Supply: Research and Technology—AQUA, 2013

Research paper thumbnail of Artificial Neural Networks in water analysis: Theory and applications

International Journal of Environmental Analytical Chemistry, 2010

Research paper thumbnail of Elemental Content and Total Antioxidant Activity of Salvia fruticosa

Food Analytical Methods, 2009

Research paper thumbnail of Occurrence of endocrine disrupters and selected pharmaceuticals in Aisonas River (Greece) and environmental risk assessment using hazard indexes

Environmental Science and Pollution Research, 2011

Research paper thumbnail of A comparative chemometric study for water quality expertise of the Athenian water reservoirs

Environmental Monitoring and Assessment, 2012

Research paper thumbnail of Comparative use of artiŊcial neural networks for the discrimination of the water reservoirs of Athens according to their elemental content

Research paper thumbnail of Geographical Characterization of Greek Olive Oils Using Rare Earth Elements Content and Supervised Chemometric Techniques

Research paper thumbnail of Supplementary data Aquaculture impact STOTEN 2014

Research paper thumbnail of Supplementary data Aquaculture impact STOTEN 2014

Research paper thumbnail of Geographical Characterization of Greek Olive Oils Using Rare Earth Elements Content and Supervised Chemometric Techniques

Research paper thumbnail of Artificial neural networks predictive models. A case study: carbon and bromine concentrations prediction based on chlorination time

Research paper thumbnail of Geographical Characterization of Greek Olive Oils Using Rare Earth Elements Content and Supervised Chemometric Techniques

Research paper thumbnail of MULTIVARIATE NON-PARAMETRIC CLASSIFICATION METHODS FOR DETERMINING THE ORIGIN OF URBAN WATER NETWORK LEAKAGES

The prompt identification of water network leakages is of utmost importance for public health rea... more The prompt identification of water network leakages is of utmost importance for public health reasons as well as economic factors and costs incurred to both the customer and the company operating the network [1]. In this work, 311 water samples located in basements and other places within the area of Athens, Greece were analyzed photometrically for Al, NO2-, NH4+, Cl- and NO3-. Sample conductivities were also recorded. Samples belonged to one of three classes: drinking water (DW), wastewater (WW) and of unknown origin (U) according to data provided by the technical departments of EYDAP SA. The empirical interpretation of the analyte levels measured led to 48.6%, 80.8% and 90.0% correct classification of DW, WW and U samples respectively. The overall correct classification was 63.3%. For the construction of objective models, Classification and Regression Trees (C&RT) and Artificial Neural Networks (ANNs) were used as data were not normally distributed and the use of non-parametric te...

Research paper thumbnail of Environmental impact of intensive aquaculture: Investigation on the accumulation of metals and nutrients in marine sediments of Greece

Science of The Total Environment, 2014

Research paper thumbnail of Comparative use of artificial neural networks for the quality assessment of the water reservoirs of Athens

Journal of Water Supply: Research and Technology - AQUA, 2013

Research paper thumbnail of Artificial neural networks in water analysis: Theory and applications

International Journal of Environmental Analytical Chemistry, 2010

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