Environmental Engineering and Management Journal, 2017
Analyzing and reducing the possible effects of air pollution on human health became important iss... more Analyzing and reducing the possible effects of air pollution on human health became important issues for improving the quality of life in urban areas. Particulate matters (PM) are air pollutants with a potential important impact on human health of vulnerable people (e.g., children, elderly) and non-vulnerable people as well. The level of PM air pollution is mainly influenced by the PM concentration and parameters such as meteorological conditions and synergic effects of other air pollutants. The effects on human health are dependent on the PM air pollution level (PM concentration), the exposure time, inhaled dose and chemical constituents carried by PM. In this paper, we focus on fine particles, PM2.5 (i.e., particles with the diameter equal or less than 2.5 µm). Taking into account the variety of factors that determine the level of PM2.5 air pollution, and following the CommonKADS methodology specific to knowledge based approaches, we have developed a knowledge based system, PM2.5-KBS-1, with heuristic rules that perform the analysis of common air quality index (CAQI) for PM2.5 (according to the European Union Air Quality Standard) in an urban area and analyzes the possible effects of the PM2.5 concentration exceedances on human health for vulnerable and non-vulnerable people. The system was tested with success for various scenarios of air pollution in the Ploiesti city, in the neighborhood of some stations from the Romanian National Air Quality Monitoring Network, providing decision support knowledge for human health protection during PM air pollution episodes. It is one of the main sub-components of a complex cyberinfrastructure for air pollution monitoring and forecasting developed within the Rokidair project. The system can be extended with new rules and applied to other cities as well.
The paper describes the application of real-time environmental monitoring, local and long-range t... more The paper describes the application of real-time environmental monitoring, local and long-range transport dispersion modeling and Volunteered Geographic Information (VGI) systems that can improve the fast knowledge regarding the air pollution status to determine the actual outdoor conditions for living in a specific urban area. A case study using such techniques is presented for a pollution event with fine particulate matter (PM 2.5) in Targoviste, Romania. PM 2.5 time series were recorded during the pollution event by two optical monitoring systems providing an average of 184.1, maximum of 323, and minimum of 107 µg m-3 (DustTrack TM 8533 EP system), and 177.4, 321 and 93 µg m-3 (Rokidair microstation), respectively. PM 2.5 concentrations and forward trajectories were computed using two programs: BREEZE® AERMOD 7.9 and HYSPLIT dispersion model. The obtained results emphasize the usefulness of embedding dispersion modeling advanced tools to supplement monitoring results and to characterize the source apportionment.
The aim of this study was to link the concentrations of particulate matter with an aerodynamic di... more The aim of this study was to link the concentrations of particulate matter with an aerodynamic diameter below 2.5 μm (PM 2.5) and associated heavy metals with occurrence of wheezing and hospitalizations due to wheezing in 111 children who live near metallurgical plants in Targoviste City, Romania. A group of 72 children with high levels of immu-noglobulin E (IgE) and eosinophils, as well as frequent wheezing episodes, was geolocated on digital thematic maps. Monitoring campaigns and medical assessments were performed over two consecutive years (2013–2014). The multiannual average concentrations of PM 2.5 ranged from 4.6 to 22.5 μg m −3 , up to a maximum value of 102 μg m −3. Significant correlations (p < 0.01) were observed between the locations of the children with respiratory issues and the PM 2.5 multiannual average (r = 0.985) and PM 2.5 maximum (r = 0.813). Fe, Ni, Cd, and Cr were the main marker elements of the emissions from steel production and metal-working facilities in the Targoviste area. The results support the hypothesis that increased PM 2.5 levels directly influence wheezing symptom and asthma attacks in the analyzed group. IgE, eosinophils, and wheezing episodes may be considered key indicators with which to evaluate the adverse effects of PM 2.5 air pollution on children's health.
ABSTRACT We have developed a decision support system that prompts the user for site and contamina... more ABSTRACT We have developed a decision support system that prompts the user for site and contaminant characteristics from petroleum extraction and transportation processes and filters out those technologies that are most adequate for site remediation from the categories of remedial methods in its database. The computerized rule-based structure facilitates the evaluation and selection of the most applicable and feasible treatment technology for petroleum-contaminated soil on a site polluted from pipeline deterioration, which this paper presents as a case study. The technology-screening feature is a useful tool in the early evaluation phase of the soil remediation process and can assist specialists in the simulation of various scenarios. The system has accurately estimated pollutant migration and extent for preliminary soil investigations and provided recommendations in accordance with the current remedial actions taken at these petroleum-contaminated sites. The decision elaboration is close to the situations often encountered in real life.
Some of the major stressors of air quality in the urban areas are nitrogen oxides, ozone and susp... more Some of the major stressors of air quality in the urban areas are nitrogen oxides, ozone and suspended particles. The effect of air pollution on respiratory diseases can increase considerably at high levels of pollution and might trigger asthma symptoms. Longterm exposure can increase the rate of respiratory infections and symptoms at population level, but particularly in children. The goal was to analyze with statistical techniques the pollutant concentrations (NO, NO2, and SO2) recorded by 15 automated monitoring stations, to establish weekdays-weekend trends in various towns of the South Muntenia Region during cold months when residential heating contributes to the overall emissions. Raw data of the monitored parameters were acquired from 7 stations for NO and NO2, and 14 stations for SO2. Data acquisition and processing were performed between November 15, 2013 and February 28, 2014 and hourly-recorded time series were characterized for central tendency, dispersion and distributi...
The paper presents a multivariate analysis of the physicochemical parameters of the effluents dis... more The paper presents a multivariate analysis of the physicochemical parameters of the effluents discharged into the upstream part of Teleajen River from Maneciu-Ungureni wastewater treatment plant. Time series of 13 effluent parameters were analyzed using data recorded in 2011. The objective was to determine possible relationships of interdependence between the effluent variables for the identification of a minimum set that explains the reduction of the water quality in the area. The principal factor formed by the contaminants is responsible for the effluent pollutant load. Temperature is the extrinsic seasonal factor, while pH can be regarded as an efficiency factor of the water treatment process. The presented technique provides an assessment framework of the monitored sites synthesizing the interactions between effluent parameters.
This paper presents a time series analysis of the effluent pollution load resulted from the neutr... more This paper presents a time series analysis of the effluent pollution load resulted from the neutralization station of electroplating industry wastewaters originating from the chemical and electrochemical etching lines for the purpose of better understanding the appropriateness of selected linear modeling approaches. For this research were investigated pH, hexavalent chromium (Cr6+), total chromium, total iron (Fe2+; Fe3+), chemical oxygen demand (COD - potassium dichromate), nitrates (NO3-), and suspended solids (TSS), using time series recorded for one year. Multiple range tests were performed with Tukey HSD testing all pair wise comparisons among monthly means for each monitored parameter series. Time series analysis was applied to establish the general trend of concentration for each effluent parameter. The forecasting performance of the selected statistical models was evaluated and discussed. ARIMA models gave satisfactory results for hexavalent chromium, total iron, COD and TSS...
The paper presents the application of cross-spectrum analysis (CSA) to air pollution and meteorol... more The paper presents the application of cross-spectrum analysis (CSA) to air pollution and meteorological time series collected from seven air quality monitoring stations located in three urban agglomerations of Romania, affected by industrial and traffic pollution: Braşov, Ploieşti and Târgovişte. Data have been collected from November 2011 till March 2012, at one hour sampling rate. The purpose of the analysis was to reveal the correlations between two series at different frequencies. The in-sync interaction assessments started from the cross-periodogram, which was realized by smoothing using Parzen window. All computed crossamplitude values were interpreted as a measure of covariance between the respective frequency components in the two series, selecting five highest peaks with the associated corresponding periods, which were filtered out and decreasingly ranked. The results show an important contribution of short-term fluctuations (12 hours and 24 hours periods) to the total vari...
The present paper presents a spatio-temporal characterization of the natural grasslands from Buce... more The present paper presents a spatio-temporal characterization of the natural grasslands from Bucegi Natural Park using remote sensing resources such as radiometric information from the multispectral satellite images – S10 MERIS of ENVISAT, and aerial high-resolution orthophotos, to provide the Normalized Difference Vegetation Index (NDVI) of the natural grasslands and their delineation. The sampled data were georeferenced in stereographic 1970 coordinate system and were used to create thematic layers in GIS environment and to perform statistic inferences. A procedure that correlates and reclassifies radiometric data was developed using previous terrestrial observations and thematic information from the satellite images of the studied area. The multispectral images photointerpretation allowed the generation of thematic maps with attributes from database and radiometric information between 2010 and 2011 vegetation seasons, which were correlated using multi-temporal archives of NDVI va...
The paper presents the analysis of 6 consecutive high flows using data from stream hydrographs of... more The paper presents the analysis of 6 consecutive high flows using data from stream hydrographs of Ialomita River recorded at Targoviste gauge station between 2007 and 2009. The main purpose of hydrographs separation and trend analysis was to extract informative coefficients, to support the calibration and sensitivity analysis of simulation routines performed with SWAT model. Each episode had two time series i.e., H (cm) and Q (m 3 s -1), which were statistically analyzed for central tendency, dispersion, and distribution. The baseflow was separated using data processing and filtering procedures. The recession constants (k) were derived from the slope of the recession curves and the lag time interval t. Another digital filter, based on frequency analysis, was applied to smooth hydrographic data. There were differences between spring and autumn high flows' episodes concerning the corresponding rainfall quantities and duration. Spring high flows had longer durations and the associa...
The capacity to interpret the observations regarding the environmental changes, to elaborate fore... more The capacity to interpret the observations regarding the environmental changes, to elaborate forecasts and to design efficient environmental strategies require a better perception on the structure and function of the various ecosystems and the interactions between them. This paper presents the cumulative contribution of the land use and land cover in conjunction with the effluents originating from a wastewater treatment plant to the nitrogen and phosphorus loads of a section of the Ialomita River streamflow using the Soil and Water Assessment Tool (SWAT) model. SWAT estimates sediments and water quality variables such as total suspended solids, nitrogen species, phosphorus species, dissolved oxygen, organic load, pesticides, and various metal species. In this paper, the nitrates and phosphates were studied focusing on the individual contribution of wastewater discharges from an urban WWTP to the river loading. The model parameters were adapted using real measurements collected from ...
Hydrological modeling of watershed represents a too l widely used to manage, assess and simulate ... more Hydrological modeling of watershed represents a too l widely used to manage, assess and simulate water resources. The paper presents the use of model-based indicators as a pre-assessment tool for the characterization of the upper side of Teleajen River Basin, starting from Maneciu Dam bovita to the confluence with Crasna River near Homoriciu village. The main purpose of this scientific work, was to predict the effect of land utilization and watershed conditions on the water quality, sediments, and nutrient loads with sufficient accuracy on this ungauged section of the river basin. The Geographic Information System (GIS) interface created for SWAT, called ArcSWAT was used to develop the watershed model. The software package was used to delineate the basin and its sub-components, The data layers were combined to obtain the model database. The model parameters were analyzed, ranked and adjusted for hydrologic modeling purposes. ArcSWAT model was chosen due to its versatility in trackin...
14th SGEM GeoConference on ENERGY AND CLEAN TECHNOLOGIES, 2014
ABSTRACT The main aim of the paper was to explore the interrelationships between PM10 time series... more ABSTRACT The main aim of the paper was to explore the interrelationships between PM10 time series and various weather parameters i.e. air temperature, atmospheric pressure, relative humidity, solar radiation, and wind speed, recorded hourly at six automated monitoring stations located in Oltenia South-West region of Romania. Significant correlations (p&lt;0.001) were observed between PM10 concentrations and air temperature, PM10 and atmospheric pressure, and PM10 and wind speed at all stations. These associations were not dependent on monitoring location, and provided reliable PM10 concentrations tendencies according to weather parameter′s change. PM10 concentrations increased with temperature abatement, increased with atmospheric pressure rising, and decreased with wind speed enhancement. A case study performed in Targoviste city is presented to supplement the knowledge on PM10 spatial variation. Resulted thematic maps with isolines showed high levels of PM10 particles in the western and northwest parts of the city, which are correlated with intense heavy traffic and neighboring active industries from northwest. Geo-referenced PM10 quantitative knowledge facilitates the selection of control strategies for reducing exposure risks for the inner-city residents.
Revista De Chimie Bucharest Original Edition, Feb 1, 2014
ABSTRACT Advanced wastewater treatments have become an area of global focus for many communities,... more ABSTRACT Advanced wastewater treatments have become an area of global focus for many communities, having in view the new, stricter discharge limits, imposed by the European Union Directives. The aim of this work is to evaluate conditions for a possible implementation of a Biological Nutrient Removal (BNR) process in the Wastewater Treatment Plant (WWTP) of Targoviste city (Romania). The problems initially identified at the Targoviste WWTP are related to the failure of the final effluent to meet the European regulation requirements, especially for Nitrogen and Phosphorus limits. These problems persist for several years. In order to analyze possibility to improve nutrients removal efficiency, it was realized a computer model of Targoviste WWTP using BioWin3.0 by EnviroSim Associates Ltd (Canada), a simulator software package in which the user can define and analyze behaviour of complex treatment plant configurations with single or multiple wastewater inputs. The simulation process allowed obtaining some data regarding parameters of treatment process in order to increase the efficiency in operation.
Environmental Engineering and Management Journal, 2017
Analyzing and reducing the possible effects of air pollution on human health became important iss... more Analyzing and reducing the possible effects of air pollution on human health became important issues for improving the quality of life in urban areas. Particulate matters (PM) are air pollutants with a potential important impact on human health of vulnerable people (e.g., children, elderly) and non-vulnerable people as well. The level of PM air pollution is mainly influenced by the PM concentration and parameters such as meteorological conditions and synergic effects of other air pollutants. The effects on human health are dependent on the PM air pollution level (PM concentration), the exposure time, inhaled dose and chemical constituents carried by PM. In this paper, we focus on fine particles, PM2.5 (i.e., particles with the diameter equal or less than 2.5 µm). Taking into account the variety of factors that determine the level of PM2.5 air pollution, and following the CommonKADS methodology specific to knowledge based approaches, we have developed a knowledge based system, PM2.5-KBS-1, with heuristic rules that perform the analysis of common air quality index (CAQI) for PM2.5 (according to the European Union Air Quality Standard) in an urban area and analyzes the possible effects of the PM2.5 concentration exceedances on human health for vulnerable and non-vulnerable people. The system was tested with success for various scenarios of air pollution in the Ploiesti city, in the neighborhood of some stations from the Romanian National Air Quality Monitoring Network, providing decision support knowledge for human health protection during PM air pollution episodes. It is one of the main sub-components of a complex cyberinfrastructure for air pollution monitoring and forecasting developed within the Rokidair project. The system can be extended with new rules and applied to other cities as well.
The paper describes the application of real-time environmental monitoring, local and long-range t... more The paper describes the application of real-time environmental monitoring, local and long-range transport dispersion modeling and Volunteered Geographic Information (VGI) systems that can improve the fast knowledge regarding the air pollution status to determine the actual outdoor conditions for living in a specific urban area. A case study using such techniques is presented for a pollution event with fine particulate matter (PM 2.5) in Targoviste, Romania. PM 2.5 time series were recorded during the pollution event by two optical monitoring systems providing an average of 184.1, maximum of 323, and minimum of 107 µg m-3 (DustTrack TM 8533 EP system), and 177.4, 321 and 93 µg m-3 (Rokidair microstation), respectively. PM 2.5 concentrations and forward trajectories were computed using two programs: BREEZE® AERMOD 7.9 and HYSPLIT dispersion model. The obtained results emphasize the usefulness of embedding dispersion modeling advanced tools to supplement monitoring results and to characterize the source apportionment.
The aim of this study was to link the concentrations of particulate matter with an aerodynamic di... more The aim of this study was to link the concentrations of particulate matter with an aerodynamic diameter below 2.5 μm (PM 2.5) and associated heavy metals with occurrence of wheezing and hospitalizations due to wheezing in 111 children who live near metallurgical plants in Targoviste City, Romania. A group of 72 children with high levels of immu-noglobulin E (IgE) and eosinophils, as well as frequent wheezing episodes, was geolocated on digital thematic maps. Monitoring campaigns and medical assessments were performed over two consecutive years (2013–2014). The multiannual average concentrations of PM 2.5 ranged from 4.6 to 22.5 μg m −3 , up to a maximum value of 102 μg m −3. Significant correlations (p < 0.01) were observed between the locations of the children with respiratory issues and the PM 2.5 multiannual average (r = 0.985) and PM 2.5 maximum (r = 0.813). Fe, Ni, Cd, and Cr were the main marker elements of the emissions from steel production and metal-working facilities in the Targoviste area. The results support the hypothesis that increased PM 2.5 levels directly influence wheezing symptom and asthma attacks in the analyzed group. IgE, eosinophils, and wheezing episodes may be considered key indicators with which to evaluate the adverse effects of PM 2.5 air pollution on children's health.
ABSTRACT We have developed a decision support system that prompts the user for site and contamina... more ABSTRACT We have developed a decision support system that prompts the user for site and contaminant characteristics from petroleum extraction and transportation processes and filters out those technologies that are most adequate for site remediation from the categories of remedial methods in its database. The computerized rule-based structure facilitates the evaluation and selection of the most applicable and feasible treatment technology for petroleum-contaminated soil on a site polluted from pipeline deterioration, which this paper presents as a case study. The technology-screening feature is a useful tool in the early evaluation phase of the soil remediation process and can assist specialists in the simulation of various scenarios. The system has accurately estimated pollutant migration and extent for preliminary soil investigations and provided recommendations in accordance with the current remedial actions taken at these petroleum-contaminated sites. The decision elaboration is close to the situations often encountered in real life.
Some of the major stressors of air quality in the urban areas are nitrogen oxides, ozone and susp... more Some of the major stressors of air quality in the urban areas are nitrogen oxides, ozone and suspended particles. The effect of air pollution on respiratory diseases can increase considerably at high levels of pollution and might trigger asthma symptoms. Longterm exposure can increase the rate of respiratory infections and symptoms at population level, but particularly in children. The goal was to analyze with statistical techniques the pollutant concentrations (NO, NO2, and SO2) recorded by 15 automated monitoring stations, to establish weekdays-weekend trends in various towns of the South Muntenia Region during cold months when residential heating contributes to the overall emissions. Raw data of the monitored parameters were acquired from 7 stations for NO and NO2, and 14 stations for SO2. Data acquisition and processing were performed between November 15, 2013 and February 28, 2014 and hourly-recorded time series were characterized for central tendency, dispersion and distributi...
The paper presents a multivariate analysis of the physicochemical parameters of the effluents dis... more The paper presents a multivariate analysis of the physicochemical parameters of the effluents discharged into the upstream part of Teleajen River from Maneciu-Ungureni wastewater treatment plant. Time series of 13 effluent parameters were analyzed using data recorded in 2011. The objective was to determine possible relationships of interdependence between the effluent variables for the identification of a minimum set that explains the reduction of the water quality in the area. The principal factor formed by the contaminants is responsible for the effluent pollutant load. Temperature is the extrinsic seasonal factor, while pH can be regarded as an efficiency factor of the water treatment process. The presented technique provides an assessment framework of the monitored sites synthesizing the interactions between effluent parameters.
This paper presents a time series analysis of the effluent pollution load resulted from the neutr... more This paper presents a time series analysis of the effluent pollution load resulted from the neutralization station of electroplating industry wastewaters originating from the chemical and electrochemical etching lines for the purpose of better understanding the appropriateness of selected linear modeling approaches. For this research were investigated pH, hexavalent chromium (Cr6+), total chromium, total iron (Fe2+; Fe3+), chemical oxygen demand (COD - potassium dichromate), nitrates (NO3-), and suspended solids (TSS), using time series recorded for one year. Multiple range tests were performed with Tukey HSD testing all pair wise comparisons among monthly means for each monitored parameter series. Time series analysis was applied to establish the general trend of concentration for each effluent parameter. The forecasting performance of the selected statistical models was evaluated and discussed. ARIMA models gave satisfactory results for hexavalent chromium, total iron, COD and TSS...
The paper presents the application of cross-spectrum analysis (CSA) to air pollution and meteorol... more The paper presents the application of cross-spectrum analysis (CSA) to air pollution and meteorological time series collected from seven air quality monitoring stations located in three urban agglomerations of Romania, affected by industrial and traffic pollution: Braşov, Ploieşti and Târgovişte. Data have been collected from November 2011 till March 2012, at one hour sampling rate. The purpose of the analysis was to reveal the correlations between two series at different frequencies. The in-sync interaction assessments started from the cross-periodogram, which was realized by smoothing using Parzen window. All computed crossamplitude values were interpreted as a measure of covariance between the respective frequency components in the two series, selecting five highest peaks with the associated corresponding periods, which were filtered out and decreasingly ranked. The results show an important contribution of short-term fluctuations (12 hours and 24 hours periods) to the total vari...
The present paper presents a spatio-temporal characterization of the natural grasslands from Buce... more The present paper presents a spatio-temporal characterization of the natural grasslands from Bucegi Natural Park using remote sensing resources such as radiometric information from the multispectral satellite images – S10 MERIS of ENVISAT, and aerial high-resolution orthophotos, to provide the Normalized Difference Vegetation Index (NDVI) of the natural grasslands and their delineation. The sampled data were georeferenced in stereographic 1970 coordinate system and were used to create thematic layers in GIS environment and to perform statistic inferences. A procedure that correlates and reclassifies radiometric data was developed using previous terrestrial observations and thematic information from the satellite images of the studied area. The multispectral images photointerpretation allowed the generation of thematic maps with attributes from database and radiometric information between 2010 and 2011 vegetation seasons, which were correlated using multi-temporal archives of NDVI va...
The paper presents the analysis of 6 consecutive high flows using data from stream hydrographs of... more The paper presents the analysis of 6 consecutive high flows using data from stream hydrographs of Ialomita River recorded at Targoviste gauge station between 2007 and 2009. The main purpose of hydrographs separation and trend analysis was to extract informative coefficients, to support the calibration and sensitivity analysis of simulation routines performed with SWAT model. Each episode had two time series i.e., H (cm) and Q (m 3 s -1), which were statistically analyzed for central tendency, dispersion, and distribution. The baseflow was separated using data processing and filtering procedures. The recession constants (k) were derived from the slope of the recession curves and the lag time interval t. Another digital filter, based on frequency analysis, was applied to smooth hydrographic data. There were differences between spring and autumn high flows' episodes concerning the corresponding rainfall quantities and duration. Spring high flows had longer durations and the associa...
The capacity to interpret the observations regarding the environmental changes, to elaborate fore... more The capacity to interpret the observations regarding the environmental changes, to elaborate forecasts and to design efficient environmental strategies require a better perception on the structure and function of the various ecosystems and the interactions between them. This paper presents the cumulative contribution of the land use and land cover in conjunction with the effluents originating from a wastewater treatment plant to the nitrogen and phosphorus loads of a section of the Ialomita River streamflow using the Soil and Water Assessment Tool (SWAT) model. SWAT estimates sediments and water quality variables such as total suspended solids, nitrogen species, phosphorus species, dissolved oxygen, organic load, pesticides, and various metal species. In this paper, the nitrates and phosphates were studied focusing on the individual contribution of wastewater discharges from an urban WWTP to the river loading. The model parameters were adapted using real measurements collected from ...
Hydrological modeling of watershed represents a too l widely used to manage, assess and simulate ... more Hydrological modeling of watershed represents a too l widely used to manage, assess and simulate water resources. The paper presents the use of model-based indicators as a pre-assessment tool for the characterization of the upper side of Teleajen River Basin, starting from Maneciu Dam bovita to the confluence with Crasna River near Homoriciu village. The main purpose of this scientific work, was to predict the effect of land utilization and watershed conditions on the water quality, sediments, and nutrient loads with sufficient accuracy on this ungauged section of the river basin. The Geographic Information System (GIS) interface created for SWAT, called ArcSWAT was used to develop the watershed model. The software package was used to delineate the basin and its sub-components, The data layers were combined to obtain the model database. The model parameters were analyzed, ranked and adjusted for hydrologic modeling purposes. ArcSWAT model was chosen due to its versatility in trackin...
14th SGEM GeoConference on ENERGY AND CLEAN TECHNOLOGIES, 2014
ABSTRACT The main aim of the paper was to explore the interrelationships between PM10 time series... more ABSTRACT The main aim of the paper was to explore the interrelationships between PM10 time series and various weather parameters i.e. air temperature, atmospheric pressure, relative humidity, solar radiation, and wind speed, recorded hourly at six automated monitoring stations located in Oltenia South-West region of Romania. Significant correlations (p&lt;0.001) were observed between PM10 concentrations and air temperature, PM10 and atmospheric pressure, and PM10 and wind speed at all stations. These associations were not dependent on monitoring location, and provided reliable PM10 concentrations tendencies according to weather parameter′s change. PM10 concentrations increased with temperature abatement, increased with atmospheric pressure rising, and decreased with wind speed enhancement. A case study performed in Targoviste city is presented to supplement the knowledge on PM10 spatial variation. Resulted thematic maps with isolines showed high levels of PM10 particles in the western and northwest parts of the city, which are correlated with intense heavy traffic and neighboring active industries from northwest. Geo-referenced PM10 quantitative knowledge facilitates the selection of control strategies for reducing exposure risks for the inner-city residents.
Revista De Chimie Bucharest Original Edition, Feb 1, 2014
ABSTRACT Advanced wastewater treatments have become an area of global focus for many communities,... more ABSTRACT Advanced wastewater treatments have become an area of global focus for many communities, having in view the new, stricter discharge limits, imposed by the European Union Directives. The aim of this work is to evaluate conditions for a possible implementation of a Biological Nutrient Removal (BNR) process in the Wastewater Treatment Plant (WWTP) of Targoviste city (Romania). The problems initially identified at the Targoviste WWTP are related to the failure of the final effluent to meet the European regulation requirements, especially for Nitrogen and Phosphorus limits. These problems persist for several years. In order to analyze possibility to improve nutrients removal efficiency, it was realized a computer model of Targoviste WWTP using BioWin3.0 by EnviroSim Associates Ltd (Canada), a simulator software package in which the user can define and analyze behaviour of complex treatment plant configurations with single or multiple wastewater inputs. The simulation process allowed obtaining some data regarding parameters of treatment process in order to increase the efficiency in operation.
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Papers by Daniel Dunea