scholarly journals An integrated approach for the evaluation of technological hazard impacts on air quality: the case of the Val d'Agri oil/gas plant

2014 ◽  
Vol 2 (4) ◽  
pp. 2345-2376
Author(s):  
M. Calvello ◽  
F. Esposito ◽  
S. Trippetta
Keyword(s):  
Air Quality ◽  
Treatment Plant ◽  
Monitoring Network ◽  
Integrated Approach ◽  
Preliminary Evaluation ◽  
Air Quality Measurements ◽  
Novel Approach ◽  
Starting Point ◽  
Pre Treatment ◽  
Oil Gas

Abstract. The Val d'Agri area (southern Italy) hosts the biggest on-shore European reservoir and the largest oil/gas pre-treatment plant, named Centro Olio Val d'Agri (COVA), located in a rural/anthropized context. Several hazards are associated to this plant. These are mainly represented by possible impacts of the COVA atmospheric emissions on the local air quality and human health. This work uses a novel approach based on the integration of air quality measurements from the regional monitoring network, additional experimental measurements (i.e., sub-micrometric particulate matter – PM1 and Black Carbon – BC) and advanced statistical analyses to provide a preliminary evaluation of the Val d'Agri air quality state and give some indications of specific areas potentially affected by COVA hazards. Results show that the COVA plant emissions exert an impact especially on the air quality of the area closest to it. In this area several pollutants specifically related to the COVA combustion processes (i.e., nitrogen oxides, benzene and toluene) show the highest concentration values and significant correlations. The proposed approach represents a first step in the assessment of the risks associated to oil/gas exploration and pre-treatment activities and a starting point for the development of effective and exportable air quality monitoring strategies.

scholarly journals An integrated approach for the evaluation of technological hazard impacts on air quality: the case of the Val d'Agri oil/gas plant

2014 ◽  
Vol 14 (8) ◽  
pp. 2133-2144 ◽  
Author(s):  
M. Calvello ◽  
F. Esposito ◽  
S. Trippetta
Keyword(s):  
Air Quality ◽  
Treatment Plant ◽  
Monitoring Network ◽  
Integrated Approach ◽  
Preliminary Evaluation ◽  
Air Quality Measurements ◽  
Novel Approach ◽  
Starting Point ◽  
Pre Treatment ◽  
Oil Gas

Abstract. The Val d'Agri area (southern Italy) hosts one of the biggest onshore European reservoir and the largest oil/gas pre-treatment plant, named Centro Olio Val d'Agri (COVA), located in a rural/anthropized context. Several hazards are associated with this plant. These are mainly represented by possible impacts of the COVA atmospheric emissions on the local air quality and human health. This work uses a novel approach based on the integration of air quality measurements from the regional monitoring network, additional experimental measurements (i.e. sub-micrometre particulate matter (PM1) and black carbon (BC)) and advanced statistical analyses to provide a preliminary evaluation of the Val d'Agri air quality state and give some indication of specific areas potentially affected by COVA hazards. Results show that the COVA plant emissions have a particular impact on the air quality of the area closest to it. In this area several pollutants specifically related to the COVA combustion processes (i.e. nitrogen oxides, benzene and toluene) show the highest concentration values and significant correlations. The proposed approach represents a first step in the assessment of the risks associated with oil/gas exploration and pre-treatment activities and a starting point for the development of effective and exportable air quality monitoring strategies.

Full scale experience with tannery water management: an integrated approach

1999 ◽  
Vol 39 (5) ◽  
pp. 169-176 ◽  
Author(s):  
W. M. Wiegant ◽  
T. J. J. Kalker ◽  
V. N. Sontakke ◽  
R. R. Zwaag
Keyword(s):  
Action Plan ◽  
Treatment Plant ◽  
Uttar Pradesh ◽  
Integrated Approach ◽  
Anaerobic Sludge ◽  
System A ◽  
Wastewater Pollution ◽  
River Ganga ◽  
Pre Treatment ◽  
Solids Content

In this article, an overview is given of the proposed and actual activities that are undertaken to reduce the pollution from the approximately 180 tanneries in Kanpur, Uttar Pradesh, India. As a part of an action plan to reduce the pollution of the river Ganga, this project includes in-house measures to reduce the output of chromium by the tanneries, and pre-treatment at the tanneries to reduce the solids content of the wastewater and to facilitate maintenance of the sewer system. A treatment plant consisting of two Upflow Anaerobic Sludge Bed (UASB) reactors, followed by a post-treatment facility, reduces the wastewater pollution by approximately 80% of BOD, COD, and TSS. However, sulphide output is still high, owing to the high sulphate concentrations in the wastewater. The sludge produced during the operations is projected to be used as a fertilizer.

scholarly journals Oil/gas pre-treatment plants and air quality hazards: PM<sub>1</sub> measurements in Agri Valley (southern Italy)

2014 ◽  
Vol 2 (4) ◽  
pp. 2377-2403
Author(s):  
S. Trippetta ◽  
R. Caggiano ◽  
S. Sabia
Keyword(s):  
Southern Italy ◽  
Treatment Plant ◽  
Principal Component ◽  
Mean Value ◽  
Atmospheric Reactions ◽  
Local Soil ◽  
Range Transport ◽  
Plant Emissions ◽  
Pre Treatment ◽  
Oil Gas

Abstract. A PM1 (i.e., aerosol particles with aerodynamic diameter less 1.0 μm) short term monitoring campaign was carried out in Agri Valley (southern Italy) in September 2012. This area is of international concern since it houses the largest European on-shore reservoir and the largest oil/gas pre-treatment plant (i.e., Centro Olio Val d'Agri – COVA) within an anthropized context. PM1 measurements were performed in Viggiano, the nearest town to the COVA plant and one of the most populated town of the Agri Valley. During the study period, the PM1 daily concentrations ranged from 1.2 to 8.4 μg m−3 with a mean value of 4.6 μg m−3. Regarding the PM1 chemical composition, it can be observed that S and typical crustal elements were the most abundant constituents of the PM1 collected. By applying the Principal Component Analysis, it was pointed out that crustal soil, biomass and wood burning, secondary atmospheric reactions involving COVA plant emissions and local soil particles, and traffic were the main sources contributing to the PM1 measured in the area under study. Moreover, a possible contribution of the long-range transport of African dust was observed.

Indoor air quality assessment in a residential apartment in Budapest

2021 ◽  
Author(s):  
Bushra Atfeh ◽  
Erzsébet Kristóf ◽  
Róbert Mészáros ◽  
Zoltán Barcza
Keyword(s):  
Air Quality ◽  
Data Processing ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Low Cost ◽  
Carbon Dioxide Concentration ◽  
Monitoring Network ◽  
Sampling Frequency ◽  
Irregular Sampling ◽  
Air Quality Measurements

&lt;p&gt;This work focuses on indoor air quality measurements carried out in an apartment in the suburban region of Budapest. The measurements were made by an IQAir AirVisual node air quality monitor which is a so-called low-cost sensor capable to monitor PM&lt;sub&gt;2.5&lt;/sub&gt; and carbon dioxide concentration. In this study we analyze data measured during January 2017 that was characterized by an extreme air pollution episode in Budapest. The aim of the study was to calculate daily indoor PM&lt;sub&gt;2.5&lt;/sub&gt; concentrations that are comparable with the outdoor concentrations provided by the official Hungarian Air Quality Monitoring Network. Given the fact that AirVisual Pro provides data with irregular sampling frequency, data processing is expected to influence the calculated daily mean concentrations.&amp;#160; The results indicated that the uneven sampling frequency characteristic of AirVisual node indeed causes problems during data processing and has an effect on the calculated means. We propose a &amp;#8216;best method&amp;#8217; for data processing for sensors with irregular sampling frequency.&lt;/p&gt;

scholarly journals Assessment of parameters describing representativeness of air quality in-situ measurement sites

2010 ◽  
Vol 10 (8) ◽  
pp. 3561-3581 ◽  
Author(s):  
S. Henne ◽  
D. Brunner ◽  
D. Folini ◽  
S. Solberg ◽  
J. Klausen ◽  
...  
Keyword(s):  
Air Quality ◽  
Particle Dispersion ◽  
Surface Fluxes ◽  
Wind Fields ◽  
Mixing Ratios ◽  
Air Quality Measurements ◽  
Novel Approach ◽  
Variable Surface ◽  
Catchment Areas ◽  
Clustering Approach

Abstract. The atmospheric layer closest to the ground is strongly influenced by variable surface fluxes (emissions, surface deposition) and can therefore be very heterogeneous. In order to perform air quality measurements that are representative of a larger domain or a certain degree of pollution, observatories are placed away from population centres or within areas of specific population density. Sites are often categorised based on subjective criteria that are not uniformly applied by the atmospheric community within different administrative domains yielding an inconsistent global air quality picture. A novel approach for the assessment of parameters reflecting site representativeness is presented here, taking emissions, deposition and transport towards 34 sites covering Western and Central Europe into account. These parameters are directly inter-comparable among the sites and can be used to select sites that are, on average, more or less suitable for data assimilation and comparison with satellite and model data. Advection towards these sites was simulated by backward Lagrangian Particle Dispersion Modelling (LPDM) to determine the sites' average catchment areas for the year 2005 and advection times of 12, 24 and 48 h. Only variations caused by emissions and transport during these periods were considered assuming that these dominate the short-term variability of most but especially short lived trace gases. The derived parameters describing representativeness were compared between sites and a novel, uniform and observation-independent categorisation of the sites based on a clustering approach was established. Six groups of European background sites were identified ranging from generally remote to more polluted agglomeration sites. These six categories explained 50 to 80% of the inter-site variability of median mixing ratios and their standard deviation for NO2 and O3, while differences between group means of the longer-lived trace gas CO were insignificant. The derived annual catchment areas strongly depended on the applied LPDM and input wind fields, the catchment settings and the year of analysis. Nevertheless, the parameters describing representativeness showed considerably less variability than the catchment geometry, supporting the applicability of the derived station categorisation.

scholarly journals Black carbon and its impact on air quality in two semi-rural sites in Southern Italy near an oil pre-treatment plant

2020 ◽  
Vol 233 ◽  
pp. 117532
Author(s):  
Giulia Pavese ◽  
Mariarosaria Calvello ◽  
Jessica Castagna ◽  
Francesco Esposito
Keyword(s):  
Air Quality ◽  
Black Carbon ◽  
Southern Italy ◽  
Treatment Plant ◽  
Pre Treatment ◽  
Rural Sites

scholarly journals Public fight vs air pollution: is the monitoring system a first step for air quality management in the town of Bitola

2019 ◽  
Vol 65 (4) ◽  
pp. 23-27
Author(s):  
Beti Angelevska ◽  
Vaska Atanasova ◽  
Aleksandar Markoski
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Management ◽  
Urban Areas ◽  
Planning Process ◽  
Monitoring Network ◽  
Air Quality Management ◽  
Significant Deterioration ◽  
Starting Point ◽  
The Town

Air quality remains one of the most pressing problems in urban areas. Providing information about air pollution and finding out its spatial distribution through monitoring network is a crucial starting point in the planning process of measures for air quality control and improvement. Hence, monitoring is an indispensable component of air quality management and its first activity. But, despite the significant deterioration of air quality in the town of Bitola, there is a lack of monitoring network and systematic measurements. Considering the importance of monitoring and its absence in the town of Bitola, this analysis gives an overview of the current air pollution problem and public initiative and determination for changes. Most importantly, elaborated recommendations for introduction of monitoring network in the town are presented.

scholarly journals PM<sub>1</sub> measurements at a site close to an oil/gas pre-treatment plant (Agri Valley – southern Italy): a preliminary study

2014 ◽  
Vol 14 (9) ◽  
pp. 2337-2346 ◽  
Author(s):  
S. Trippetta ◽  
R. Caggiano ◽  
S. Sabia
Keyword(s):  
Southern Italy ◽  
Treatment Plant ◽  
Principal Component ◽  
Mean Value ◽  
Local Soil ◽  
Range Transport ◽  
Plant Emissions ◽  
Pre Treatment ◽  
A Site ◽  
Oil Gas

Abstract. A PM1 (i.e. particulate matter with an aerodynamic diameter less than 1.0 μm) short-term monitoring campaign was carried out in the Agri Valley (southern Italy) in September 2012. This area is of international concern, since it houses one of the largest European on-shore reservoirs and the largest oil/gas pre-treatment plant (i.e. the Centro Olio Val d'Agri – COVA) within an anthropised context. PM1 measurements were performed in Viggiano, the nearest town to the COVA plant and one of the most populated towns of the Agri Valley. During the study period, the PM1 daily concentrations ranged from 1.2 to 8.4 μg m−3, with a mean value of 4.6 μg m−3. Regarding the PM1 chemical composition, it can be observed that S and typical crustal elements were the most abundant constituents of the PM1 collected. By applying principal component analysis (PCA), it was pointed out that crustal soil, biomass and wood burning, secondary atmospheric reactions involving COVA plant emissions and local soil particles, and traffic were the main sources contributing to the PM1 measured in the area under study. Moreover, a possible contribution of the long-range transport of African dust was observed.

scholarly journals Assessment of parameters describing representativeness of air quality in-situ measurement sites

2009 ◽  
Vol 9 (5) ◽  
pp. 20019-20062 ◽  
Author(s):  
S. Henne ◽  
D. Brunner ◽  
D. Folini ◽  
S. Solberg ◽  
J. Klausen ◽  
...  
Keyword(s):  
Air Quality ◽  
Particle Dispersion ◽  
Surface Fluxes ◽  
Wind Fields ◽  
Mixing Ratios ◽  
Air Quality Measurements ◽  
Novel Approach ◽  
Variable Surface ◽  
Catchment Areas ◽  
Rural Sites

Abstract. The atmospheric layer closest to the ground is strongly influenced by variable surface fluxes (emissions, surface deposition) and can therefore be very heterogeneous. In order to perform air quality measurements that are representative of a larger domain or a certain degree of pollution, observatories are placed away from population centres or within areas of specific population density. Sites are often categorised based on subjective criteria that are not uniformly applied within different administrative domains. A novel approach for the assessment of parameters reflecting site representativeness is presented here, taking emissions, deposition and transport towards 34 sites covering Western and Central Europe into account. These parameters are directly inter-comparable among the sites and can be used to select sites that are, on average, more or less suitable for data assimilation and comparison with satellite and model data. Advection towards these sites was simulated by backward Lagrangian Particle Dispersion Modelling (LPDM) to determine the sites' annual catchment areas for the year 2005 and advection times of 12, 24 and 48 h. Only variations caused by emissions and transport during these periods were considered assuming that these dominate the short-term variability of most but especially short lived trace gases. The parameters of representativeness derived were compared between sites and a novel, uniform and observation-independent categorisation of the sites based on a clustering approach was established. Six groups of European background sites were identified ranging from very remote coastal to polluted rural sites. These six categories explained 50 to 80% of the inter-site variability of median mixing ratios and their standard deviation for NO2 and O3, while differences between group means of the longer lived trace gas CO were insignificant. The derived annual catchment areas strongly depended on the applied LPDM and input wind fields, the catchment settings and the year of analysis. Nevertheless, the parameters of representativeness showed considerably less variability than the catchment geometry, supporting the robustness of the derived station categorisation.

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