The Experts below are selected from a list of 303 Experts worldwide ranked by ideXlab platform
Panagiotis Tsourlos - One of the best experts on this subject based on the ideXlab platform.
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Characterization and monitoring of subsurface contamination from Olive Oil Mills’ waste waters using Electrical Resistivity Tomography
Science of the Total Environment, 2018Co-Authors: Kleanthis Simyrdanis, Stella Kirkou, Nikos Papadopoulos, Pantelis Soupios, Panagiotis TsourlosAbstract:This work describes the efficiency and ability of Electrical Resistivity Tomography (ERT) to map and monitor the subsurface contamination caused by the wastes created during the production of Olive Oil. The spatial distribution and temporal variation of these wastes are investigated through an integrated methodological flowchart composed of numerical modeling tests and field data collected from an active waste disposal site. An Olive Oil Mills’ Wastes (OOMW) real site was chosen to monitor the subsurface flow of the wastes that are disposed of in an artificial pond for 1.5 years. Synthetic modeling was used to simulate and reconstruct the movement of the OOMW as a conductive target within a layered resistive medium. The results of the ERT data show a high degree of correlation between published ERT, geochemical, and IP geophysical results. This indicates that ERT can be a powerful tool for mapping and monitoring the byproducts of the Olive Oil industry, in the form of subsurface contamination, as demonstrated by the synthetic modeling. The electrical signature of the OOMW was also verified through the identification of in situ wastes within an excavation trench along the monitoring ERT line. The results show that ERT can be used as a stand-alone tool to characterize the subsurface pollution in OOMW sites.
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time lapse ert monitoring of Olive Oil Mills wastes oomw using simulation and experimental data
Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics, 2014Co-Authors: Stella Kirkou, Panagiotis Tsourlos, Nikos Papadopoulos, Pantelis Soupios, J H KimAbstract:Olive Oil production is one of the most important activities in the Mediterranean area and in Greece in particular. Olive Oil production generates a large volume of liquid wastes which can cause severe pollution due to the high organic and in-inorganic load that they convey. In this work we assess the ability of time-lapse electrical resistivity tomography (ERT) technique to monitor Olive-Oil Mills' wastes (OOMW) movement into an aquifer. Test involve performing extensive synthetic modelling using computer generated models for cross-hole ERT arrangements and applying various 4D time lapse inversion processing to the monitoring data. Further, 4D time lapse inversion was performed to cross-hole ERT data obtained during a tank experiment which involved simulation of OOMW movement into a saturated aquifer. Results validate the applicability of cross-hole time lapse ERT to monitor OOMW movement and help to decide ways for optimum data processing and collection.
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mapping of Olive Oil Mills wastes oomw through ert a case study from alikianos site in eastern crete greece
Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics, 2014Co-Authors: Nikos Papadopoulos, Kleanthis Simyrdanis, Stella Kirkou, Pantelis Soupios, J H Kim, Panagiotis TsourlosAbstract:The production of Olive Oil in Greece and in Mediterranean is of major economic importance and goes hand in hand with a large food-processing industry. Thus it constitutes an important source of employment, especially in regions where it still remains today one of the major financial activities. However, these activities produce large waste amounts which are disposed in the environment without control. What is needed, apart from the adoption of specific policies regarding waste management, is the development and application of automated systems that will allow the rapid identification of environment degradation incidents and thus assist the decision making and the determination of specific measures and actions to be taken in order to protect and improve degraded areas. To this direction Electrical Resistivity Tomography was tested in an Olive Oil Mill Waste (OOMW) site in western Crete trying to explore its resolvable capabilities to image for such pollutants. The results indicate that OOMW can be mapped due to their conductive signature in relation to their hosting material rendering ERT a significant tool in the direction of providing a specific environmental tool in order to define a strategic framework for addressing this problem.
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monitoring of Olive Oil Mills wastes using electrical resistivity tomography techniques
Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014), 2014Co-Authors: Kleanthis Simyrdanis, Stella Kirkou, Nikos Papadopoulos, Apostolos Sarris, Panagiotis TsourlosAbstract:Olive Oil Mills’ wastes (OOMW) are one of the byproducts of the Oil production that can lead to serious environmental pollution when they are deposited in ponds dug on the ground surface. Electrical Resistivity Tomography (ERT) method can provide a valuable tool in order to monitor through time the physical flow of the wastes into the subsurface. ERT could potentially locate the electrical signature due to lower resistivity values resulting from the leakage of OOMW to the subsurface. For this purpose, two vertical boreholes were installed (12m depth, 9 m apart) in the vicinity of an existing pond which is filled with OOMW during the Oil production period. The test site is situated in Saint Andreas village about 15km south of the city of Rethymno (Crete, Greece). Surface ERT measurements were collected along multiple lines in order to reconstruct the subsurface resistivity models. Data acquisition was performed with standard and optimized electrode configuration protocols. The monitoring survey includes the ERT data collection for a period of time. The study was initiated before the OOMW were deposited in the pond, so resistivity fluctuations are expected due to the flow of OOMW in the porous subsurface media through time. Preliminary results show the good correlation of the ERT images with the drilled geological formations and the identification of low resistivity subsurface zone that could be attributed to the flow of the wastes within the porous layers.
Kleanthis Simyrdanis - One of the best experts on this subject based on the ideXlab platform.
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Characterization and monitoring of subsurface contamination from Olive Oil Mills’ waste waters using Electrical Resistivity Tomography
Science of the Total Environment, 2018Co-Authors: Kleanthis Simyrdanis, Stella Kirkou, Nikos Papadopoulos, Pantelis Soupios, Panagiotis TsourlosAbstract:This work describes the efficiency and ability of Electrical Resistivity Tomography (ERT) to map and monitor the subsurface contamination caused by the wastes created during the production of Olive Oil. The spatial distribution and temporal variation of these wastes are investigated through an integrated methodological flowchart composed of numerical modeling tests and field data collected from an active waste disposal site. An Olive Oil Mills’ Wastes (OOMW) real site was chosen to monitor the subsurface flow of the wastes that are disposed of in an artificial pond for 1.5 years. Synthetic modeling was used to simulate and reconstruct the movement of the OOMW as a conductive target within a layered resistive medium. The results of the ERT data show a high degree of correlation between published ERT, geochemical, and IP geophysical results. This indicates that ERT can be a powerful tool for mapping and monitoring the byproducts of the Olive Oil industry, in the form of subsurface contamination, as demonstrated by the synthetic modeling. The electrical signature of the OOMW was also verified through the identification of in situ wastes within an excavation trench along the monitoring ERT line. The results show that ERT can be used as a stand-alone tool to characterize the subsurface pollution in OOMW sites.
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mapping of Olive Oil Mills wastes oomw through ert a case study from alikianos site in eastern crete greece
Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics, 2014Co-Authors: Nikos Papadopoulos, Kleanthis Simyrdanis, Stella Kirkou, Pantelis Soupios, J H Kim, Panagiotis TsourlosAbstract:The production of Olive Oil in Greece and in Mediterranean is of major economic importance and goes hand in hand with a large food-processing industry. Thus it constitutes an important source of employment, especially in regions where it still remains today one of the major financial activities. However, these activities produce large waste amounts which are disposed in the environment without control. What is needed, apart from the adoption of specific policies regarding waste management, is the development and application of automated systems that will allow the rapid identification of environment degradation incidents and thus assist the decision making and the determination of specific measures and actions to be taken in order to protect and improve degraded areas. To this direction Electrical Resistivity Tomography was tested in an Olive Oil Mill Waste (OOMW) site in western Crete trying to explore its resolvable capabilities to image for such pollutants. The results indicate that OOMW can be mapped due to their conductive signature in relation to their hosting material rendering ERT a significant tool in the direction of providing a specific environmental tool in order to define a strategic framework for addressing this problem.
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monitoring of Olive Oil Mills wastes using electrical resistivity tomography techniques
Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014), 2014Co-Authors: Kleanthis Simyrdanis, Stella Kirkou, Nikos Papadopoulos, Apostolos Sarris, Panagiotis TsourlosAbstract:Olive Oil Mills’ wastes (OOMW) are one of the byproducts of the Oil production that can lead to serious environmental pollution when they are deposited in ponds dug on the ground surface. Electrical Resistivity Tomography (ERT) method can provide a valuable tool in order to monitor through time the physical flow of the wastes into the subsurface. ERT could potentially locate the electrical signature due to lower resistivity values resulting from the leakage of OOMW to the subsurface. For this purpose, two vertical boreholes were installed (12m depth, 9 m apart) in the vicinity of an existing pond which is filled with OOMW during the Oil production period. The test site is situated in Saint Andreas village about 15km south of the city of Rethymno (Crete, Greece). Surface ERT measurements were collected along multiple lines in order to reconstruct the subsurface resistivity models. Data acquisition was performed with standard and optimized electrode configuration protocols. The monitoring survey includes the ERT data collection for a period of time. The study was initiated before the OOMW were deposited in the pond, so resistivity fluctuations are expected due to the flow of OOMW in the porous subsurface media through time. Preliminary results show the good correlation of the ERT images with the drilled geological formations and the identification of low resistivity subsurface zone that could be attributed to the flow of the wastes within the porous layers.
Stella Kirkou - One of the best experts on this subject based on the ideXlab platform.
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Characterization and monitoring of subsurface contamination from Olive Oil Mills’ waste waters using Electrical Resistivity Tomography
Science of the Total Environment, 2018Co-Authors: Kleanthis Simyrdanis, Stella Kirkou, Nikos Papadopoulos, Pantelis Soupios, Panagiotis TsourlosAbstract:This work describes the efficiency and ability of Electrical Resistivity Tomography (ERT) to map and monitor the subsurface contamination caused by the wastes created during the production of Olive Oil. The spatial distribution and temporal variation of these wastes are investigated through an integrated methodological flowchart composed of numerical modeling tests and field data collected from an active waste disposal site. An Olive Oil Mills’ Wastes (OOMW) real site was chosen to monitor the subsurface flow of the wastes that are disposed of in an artificial pond for 1.5 years. Synthetic modeling was used to simulate and reconstruct the movement of the OOMW as a conductive target within a layered resistive medium. The results of the ERT data show a high degree of correlation between published ERT, geochemical, and IP geophysical results. This indicates that ERT can be a powerful tool for mapping and monitoring the byproducts of the Olive Oil industry, in the form of subsurface contamination, as demonstrated by the synthetic modeling. The electrical signature of the OOMW was also verified through the identification of in situ wastes within an excavation trench along the monitoring ERT line. The results show that ERT can be used as a stand-alone tool to characterize the subsurface pollution in OOMW sites.
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time lapse ert monitoring of Olive Oil Mills wastes oomw using simulation and experimental data
Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics, 2014Co-Authors: Stella Kirkou, Panagiotis Tsourlos, Nikos Papadopoulos, Pantelis Soupios, J H KimAbstract:Olive Oil production is one of the most important activities in the Mediterranean area and in Greece in particular. Olive Oil production generates a large volume of liquid wastes which can cause severe pollution due to the high organic and in-inorganic load that they convey. In this work we assess the ability of time-lapse electrical resistivity tomography (ERT) technique to monitor Olive-Oil Mills' wastes (OOMW) movement into an aquifer. Test involve performing extensive synthetic modelling using computer generated models for cross-hole ERT arrangements and applying various 4D time lapse inversion processing to the monitoring data. Further, 4D time lapse inversion was performed to cross-hole ERT data obtained during a tank experiment which involved simulation of OOMW movement into a saturated aquifer. Results validate the applicability of cross-hole time lapse ERT to monitor OOMW movement and help to decide ways for optimum data processing and collection.
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mapping of Olive Oil Mills wastes oomw through ert a case study from alikianos site in eastern crete greece
Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics, 2014Co-Authors: Nikos Papadopoulos, Kleanthis Simyrdanis, Stella Kirkou, Pantelis Soupios, J H Kim, Panagiotis TsourlosAbstract:The production of Olive Oil in Greece and in Mediterranean is of major economic importance and goes hand in hand with a large food-processing industry. Thus it constitutes an important source of employment, especially in regions where it still remains today one of the major financial activities. However, these activities produce large waste amounts which are disposed in the environment without control. What is needed, apart from the adoption of specific policies regarding waste management, is the development and application of automated systems that will allow the rapid identification of environment degradation incidents and thus assist the decision making and the determination of specific measures and actions to be taken in order to protect and improve degraded areas. To this direction Electrical Resistivity Tomography was tested in an Olive Oil Mill Waste (OOMW) site in western Crete trying to explore its resolvable capabilities to image for such pollutants. The results indicate that OOMW can be mapped due to their conductive signature in relation to their hosting material rendering ERT a significant tool in the direction of providing a specific environmental tool in order to define a strategic framework for addressing this problem.
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monitoring of Olive Oil Mills wastes using electrical resistivity tomography techniques
Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014), 2014Co-Authors: Kleanthis Simyrdanis, Stella Kirkou, Nikos Papadopoulos, Apostolos Sarris, Panagiotis TsourlosAbstract:Olive Oil Mills’ wastes (OOMW) are one of the byproducts of the Oil production that can lead to serious environmental pollution when they are deposited in ponds dug on the ground surface. Electrical Resistivity Tomography (ERT) method can provide a valuable tool in order to monitor through time the physical flow of the wastes into the subsurface. ERT could potentially locate the electrical signature due to lower resistivity values resulting from the leakage of OOMW to the subsurface. For this purpose, two vertical boreholes were installed (12m depth, 9 m apart) in the vicinity of an existing pond which is filled with OOMW during the Oil production period. The test site is situated in Saint Andreas village about 15km south of the city of Rethymno (Crete, Greece). Surface ERT measurements were collected along multiple lines in order to reconstruct the subsurface resistivity models. Data acquisition was performed with standard and optimized electrode configuration protocols. The monitoring survey includes the ERT data collection for a period of time. The study was initiated before the OOMW were deposited in the pond, so resistivity fluctuations are expected due to the flow of OOMW in the porous subsurface media through time. Preliminary results show the good correlation of the ERT images with the drilled geological formations and the identification of low resistivity subsurface zone that could be attributed to the flow of the wastes within the porous layers.
Juan L. Acero - One of the best experts on this subject based on the ideXlab platform.
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treatments of wastewaters from Olive Oil Mills by uv radiation and by combined ozone uv radiation
Toxicological & Environmental Chemistry, 1997Co-Authors: Javier F Benitez, J Beltranheredia, Joaquin Torregrosa, Juan L. AceroAbstract:The chemical oxidation of the organic matter in Olive mill wastewaters by the advanced oxidation process ozone plus UV radiation is studied to evaluate the increase in degradation in relation to ozonation alone. Also, the effect of the UV radiation alone on the oxidation is established. The destruction of the organic material was followed by the disappearance of the chemical oxygen demand (COD), the total aromatic compounds and the total phenolics. An approximate kinetic study is developed, the apparent kinetic constants with respect to the phenolic compounds being determined in both processes, the single photochemical and the combined ozone‐UV radiation.
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chemical pretreatment by ozone of wastewaters from Olive Oil Mills
Toxicological & Environmental Chemistry, 1997Co-Authors: Javier F Benitez, Juan L. Acero, J Beltranheredia, Joaquin Torregrosa, Valentin CercasAbstract:Chemical oxidation by ozone of the wastewaters from the Olive Oil process is carried out to remove organic matter present in those wastes. The degradation process was followed by measuring the chemical oxygen demand (COD), and the total contents of phenolic and aromatic compounds. Reductions in COD were an average 6% and 20% in wastewaters diluted to 50% and 10% respectively. Average removal of aromatic compounds were 40% and 70% for both dilutions, while total phenolic content degradations was around 90% in all cases. An approximate kinetic study for design purposes was developed: the apparent kinetic constants for phenolic compounds are evaluated and correlated as a function of temperature and pH.
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Ozonation kinetics of phenolic acids present in wastewaters from Olive Oil Mills
Industrial & Engineering Chemistry Research, 1997Co-Authors: F. J. Benitez, Jesus Beltran-heredia, Juan L. Acero, M. L. PinillaAbstract:A kinetic study of the degradation by ozone of eight phenolic acids present in wastewaters from Olive Oil Mills has been performed by using a competition kinetic method. The selected phenolic acids are: caffeic, p-coumaric, syringic, vanillic, 3,4,5-trimethoxybenzoic, veratric, p-hydroxybenzoic, and protocatechuic. The influence of the operating variables (temperature, pH, and ozone partial pressure in the gas stream) is established, and the stoichiometric ratios for the individual direct reactions between ozone and each acid are determined. Once the reaction rate constants are evaluated, they are correlated as a function of temperature and pH into kinetic expressions which are provided for every phenolic acid. The global process occurs in the fast and pseudo-first-order kinetic regime of absorption, a condition required by the competition model to be used.
Nikos Papadopoulos - One of the best experts on this subject based on the ideXlab platform.
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Characterization and monitoring of subsurface contamination from Olive Oil Mills’ waste waters using Electrical Resistivity Tomography
Science of the Total Environment, 2018Co-Authors: Kleanthis Simyrdanis, Stella Kirkou, Nikos Papadopoulos, Pantelis Soupios, Panagiotis TsourlosAbstract:This work describes the efficiency and ability of Electrical Resistivity Tomography (ERT) to map and monitor the subsurface contamination caused by the wastes created during the production of Olive Oil. The spatial distribution and temporal variation of these wastes are investigated through an integrated methodological flowchart composed of numerical modeling tests and field data collected from an active waste disposal site. An Olive Oil Mills’ Wastes (OOMW) real site was chosen to monitor the subsurface flow of the wastes that are disposed of in an artificial pond for 1.5 years. Synthetic modeling was used to simulate and reconstruct the movement of the OOMW as a conductive target within a layered resistive medium. The results of the ERT data show a high degree of correlation between published ERT, geochemical, and IP geophysical results. This indicates that ERT can be a powerful tool for mapping and monitoring the byproducts of the Olive Oil industry, in the form of subsurface contamination, as demonstrated by the synthetic modeling. The electrical signature of the OOMW was also verified through the identification of in situ wastes within an excavation trench along the monitoring ERT line. The results show that ERT can be used as a stand-alone tool to characterize the subsurface pollution in OOMW sites.
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time lapse ert monitoring of Olive Oil Mills wastes oomw using simulation and experimental data
Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics, 2014Co-Authors: Stella Kirkou, Panagiotis Tsourlos, Nikos Papadopoulos, Pantelis Soupios, J H KimAbstract:Olive Oil production is one of the most important activities in the Mediterranean area and in Greece in particular. Olive Oil production generates a large volume of liquid wastes which can cause severe pollution due to the high organic and in-inorganic load that they convey. In this work we assess the ability of time-lapse electrical resistivity tomography (ERT) technique to monitor Olive-Oil Mills' wastes (OOMW) movement into an aquifer. Test involve performing extensive synthetic modelling using computer generated models for cross-hole ERT arrangements and applying various 4D time lapse inversion processing to the monitoring data. Further, 4D time lapse inversion was performed to cross-hole ERT data obtained during a tank experiment which involved simulation of OOMW movement into a saturated aquifer. Results validate the applicability of cross-hole time lapse ERT to monitor OOMW movement and help to decide ways for optimum data processing and collection.
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mapping of Olive Oil Mills wastes oomw through ert a case study from alikianos site in eastern crete greece
Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics, 2014Co-Authors: Nikos Papadopoulos, Kleanthis Simyrdanis, Stella Kirkou, Pantelis Soupios, J H Kim, Panagiotis TsourlosAbstract:The production of Olive Oil in Greece and in Mediterranean is of major economic importance and goes hand in hand with a large food-processing industry. Thus it constitutes an important source of employment, especially in regions where it still remains today one of the major financial activities. However, these activities produce large waste amounts which are disposed in the environment without control. What is needed, apart from the adoption of specific policies regarding waste management, is the development and application of automated systems that will allow the rapid identification of environment degradation incidents and thus assist the decision making and the determination of specific measures and actions to be taken in order to protect and improve degraded areas. To this direction Electrical Resistivity Tomography was tested in an Olive Oil Mill Waste (OOMW) site in western Crete trying to explore its resolvable capabilities to image for such pollutants. The results indicate that OOMW can be mapped due to their conductive signature in relation to their hosting material rendering ERT a significant tool in the direction of providing a specific environmental tool in order to define a strategic framework for addressing this problem.
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monitoring of Olive Oil Mills wastes using electrical resistivity tomography techniques
Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014), 2014Co-Authors: Kleanthis Simyrdanis, Stella Kirkou, Nikos Papadopoulos, Apostolos Sarris, Panagiotis TsourlosAbstract:Olive Oil Mills’ wastes (OOMW) are one of the byproducts of the Oil production that can lead to serious environmental pollution when they are deposited in ponds dug on the ground surface. Electrical Resistivity Tomography (ERT) method can provide a valuable tool in order to monitor through time the physical flow of the wastes into the subsurface. ERT could potentially locate the electrical signature due to lower resistivity values resulting from the leakage of OOMW to the subsurface. For this purpose, two vertical boreholes were installed (12m depth, 9 m apart) in the vicinity of an existing pond which is filled with OOMW during the Oil production period. The test site is situated in Saint Andreas village about 15km south of the city of Rethymno (Crete, Greece). Surface ERT measurements were collected along multiple lines in order to reconstruct the subsurface resistivity models. Data acquisition was performed with standard and optimized electrode configuration protocols. The monitoring survey includes the ERT data collection for a period of time. The study was initiated before the OOMW were deposited in the pond, so resistivity fluctuations are expected due to the flow of OOMW in the porous subsurface media through time. Preliminary results show the good correlation of the ERT images with the drilled geological formations and the identification of low resistivity subsurface zone that could be attributed to the flow of the wastes within the porous layers.
