Odour Measurement

Odour emissions are a global issue that needs to be controlled to prevent negative impacts. Instrumental odour monitoring systems (IOMS) are an intelligent technology that can be applied to continuously assess annoyance and thus avoid complaints. However, gaps to be improved in terms of accuracy in deciphering information, especially in the implementation of the mathematical model, are still being researched, especially in environmental odour monitoring applications. This research presents and discusses the implementation of traditional and innovative parametric and non-parametric prediction techniques for the elaboration of an effective odour quantification monitoring model (OQMM), with the aim of optimizing the accuracy of the measurements. Artificial neural network (ANN), multivariate adaptive regression splines (MARSpline), partial least square (PLS), multiple linear regression (MLR) and response surface regression (RSR) are implemented and compared for prediction of odour concentrations using an advanced IOMS. Experimental analyses are carried out by using real environmental odour samples collected from a municipal solid waste treatment plant. Results highlight the strengths and weaknesses of the analysed models and their accuracy in terms of environmental odour concentration prediction. The ANN application allows us to obtain the most accurate results among the investigated techniques. This paper provides useful information to select the appropriate computational tool to process the signals from sensors, in order to improve the reliability and stability of the measurements and create a robust prediction model.

Odour emission assessment in wastewater treatment plants (WWTP) is a key aspect that needs to be improved in the plant management to avoid complaints and guarantee a sustainable environment. The research presents a smart instrumental odour monitoring station (SiOMS) composed of an advanced instrumental odour monitoring system (IOMS) integrated with other measurement units, for the continuous characterization and measurement of the odour emissions, with the aim of managing the potential odour annoyance causes in real time, in order to avoid negative effects. The application and on-site validation procedure of the trained IOMS is discussed. Experimental studies have been conducted at a large-scale WWTP. Fingerprint analysis has been applied to analyze and identify the principal gaseous compounds responsible for the odour annoyance. The artificial neural network has been adopted to elaborate and dynamically update the odour monitoring classification and quantification models (OMMs) of the IOMS. The results highlight the usefulness of a real-time measurement and control system to provide continuous and different information to the plant operators, thus allowing the identification of the odour sources and the most appropriate mitigation actions to be implemented. The paper provides important information for WWTP operators, as well as for the regulating bodies, authorities, manufacturers and end-users of odour monitoring systems involved in environmental odour impact management.

Measuring odour concentration is a significant step to achieve efficient environmental odour management in continuous, objective and repeatable manner. To deal with this, researchers developed instrumental odour monitoring systems (IOMS) by applying odour monitoring models (OMM) for prediction. At present, limited data are available in the literature regarding the exploration of different prediction models to quantify the odour emissions in terms of odour concentration. This study presents and compares different types of parametric and nonparametric predictive models (i.e., artificial neural network (ANN), multivariate adaptive regression splines (MARSpline), partial least squares (PLS), multiple linear regression (MLR), response surface regression (RSR)) with the aim to increase the reliability of the odour concentration prediction by using IOMS for environmental odour monitoring. The experimental studies are carried out considering odour samples collected from the organic fractions in municipal solid waste. All samples undergone seedOA eNose and dynamic olfactometry analysis as reference methods. The coefficient of determination (R 2) and root mean square error (RMSE) were used to measure the goodness-of-fit of the models. Results indicate the strengths and weaknesses of the analyzed models and highlight their accuracy in terms of odour concentration prediction.

Oil refinery and petrochemical plants are of crucial importance to enhance world economy. Besides the related considerable economic impact of this industries, the population and governments pose towards a great attention which boosted the necessity of developing effective tools for the control of the associated environmental pressures, without hindering economy growth. Among the environmental aspects of key relevance in the refinery sector, air quality and atmospheric pollution in terms of odour emissions, especially in the last years, have become a priority concern in the management of the plants. The monitoring and control of the odour emissions are thus needed in order to prevent potential impact and avoid complaints from the exposed population. Nowadays, senso-instrumental methods by using Instrumental Odour Emissions Systems (IOMSs) represents the most attractive tool for the monitoring of environmental odours, allowing the possibility to obtain real-time and continuous informa...

Several scientific studies suggest using Odour Emission Factors (OEFs) as a tool for the characterization of the odour emissions and impact prediction of odorous plants, defining these taking into account only the plant capacity for the quantification of the "activity index". The research presents the results of the study of a large Anaerobic-Aerobic integrated Treatment Plant (AATP) located in a sensitive area of the municipality of Salerno (southern Italy, Campania Region), identifying the principal odour sources and their characterization in terms of odour concentration and emissions by dynamic olfactometry. OEFs relevant to single-process steps are estimated using the experimental data set as well as compared with the theoretical ones proposed in literature studies on similar treatment facilities. SOEFs (Specific Odour Emission Factors) for the studied AATP are proposed for one unit, calculating them by taking into account specific real observed parameters of the phase...

Oil refinery and petrochemical plants are of crucial importance to enhance world economy. Besides the related considerable economic impact of this industries, the population and governments pose towards a great attention which boosted the necessity of developing effective tools for the control of the associated environmental pressures, without hindering economy growth. Among the environmental aspects of key relevance in the refinery sector, air quality and atmospheric pollution in terms of odour emissions, especially in the last years, have become a priority concern in the management of the plants. The monitoring and control of the odour emissions are thus needed in order to prevent potential impact and avoid complaints from the exposed population. Nowadays, senso-instrumental methods by using Instrumental Odour Emissions Systems (IOMSs) represents the most attractive tool for the monitoring of environmental odours, allowing the possibility to obtain real-time and continuous informa...

One of the most reliable methods for the prediction of odour impact from environmental facilities, strongly influenced by topography and local atmospheric dynamics, involves the use of atmospheric dispersion models.The present study focuses on the implementation of a dispersion model for the prediction of odour impact from a large and complex landfill system, localized in Borgo Montello (Latina), in the Lazio Region (Central Italy). The Calpuff dispersion model was selected for the simulations of odour impact, since it is well recognized as the preferred model for assessing the long range transport of pollutants. The odour emission rates, which are the inputs to the dispersion model, were defined on the basis of dynamic olfactometric analyses on air samples taken in the landfills areas. Different scenarios were simulated, with the aim of evaluating the odour impact caused by a project of landfill expansion through height raise. The environmental odour impacts were assessed through t...

Odour emissions generated by industrial and environmental protection plants are often a cause of nuisances and consequent conflicts in exposed populations. Their control is a key action to avoid complaints. Among the odour measurement techniques, the sensory-instrumental method with the application of Instrumental Odour Monitoring Systems (IOMSs) currently represents an effective solution to allow a continuous classification and quantification of odours in real time, combining the advantages of conventional analytical and sensorial techniques. However, some aspects still need to be improved. The study presents and discusses the investigation and optimization of the operational phases of an advanced IOMS, applied for monitoring of environmental odours, with the aim of increasing their performances and reliability of the measures. Accuracy rates of over 98% were reached in terms of classification performances. The implementation of automatic correction systems for the resistance value...

There are various method in the world to sample and analyze odour. No matter what method or technique that is used, it should be accordingly to the standard. For the new researcher or people involved in order management, they might lack in knowledge on how to use a proper or a suitable technique to assess odour. In Malaysia, there is no specific method of handling the odour problem. Currently in this country is following the European standard, which using the Olfactometer to analyze odour. Since the Olfactometer is expensive for the first time of installation, a cost effective Odour Threshold Test has been developed from Japan was trying to introduce. A new method from Canada called SM100 Olfactometer was also available in the laboratory. Comparisons between those methods are studied and suitability for use are presented. For odour sampling, there are three types of source that need to be considered; point, area and volume. Proper techniques should be done in order to sample at vari...

The objective assessment of the level of odour in on-site sanitation systems is required when evaluating emerging technology options and maintenance practices. The purpose of this study was to measure the concentrations of hydrogen sulphide and ammonia as surrogates of odour using a portable gas detector, and assess whether the concentrations of the compounds correlate with the perception of users of the facilities. The Aeroqual 500 portable gas detector with hydrogen sulphide and ammonia sensor heads was used to measure the concentrations of the compounds in 88 private and seven communal latrines sampled from a peri-urban community in Ghana. The odour perception of 189 and 165 users of private and communal latrines, respectively, was assessed on an ordinal scale. It was found that the concentrations of hydrogen sulphide and ammonia measured with the gas detector reflected the known variation of odour levels among different technology options and the perceptions of the latrine users. The concentrations of hydrogen sulphide measured in the water closet, ventilated improved pit (VIP) and the simple pit latrines were 0.01, 0.03 and 0.13 ppm, respectively; those of ammonia were undetected for the water closet, and 0.30 and 3.27 ppm for the VIP and simple pit latrines, respectively. The Pearson correlation coefficient between hydrogen sulphide concentrations and user perception of odour (−0.234) was significant at 5 % level (p = 0.022) but that for ammonia was not. The results indicate that a portable hydrogen

Arrays of chemical sensors, generally used in electronic noses (e.noses), yield a unique pattern for a given mixture of odours. In recent years, there has been an increasing interest in applications of e.noses for the characterization and monitoring of environmental odours. While they have been around over the last three decades, little effort has been devoted to the development of the measurement chamber. Within it, all sensors are placed in contact of the flux of air to characterize in terms of odours. A measurement chamber must ensure standardized conditions in term of temperature, humidity and contact time of inflow air with the sensor surfaces. Aim of this work is to numerically analyse the fluid dynamic performance of measurement chambers with different geometry in order to improve sensor response signals in terms of stability, reproducibility and response time. The Fluid dynamic study was carried out by a Computational Fluid Dynamic (CFD) commercial software. Results show an ...

Several scientific studies suggest using Odour Emission Factors (OEFs) as a tool for the characterization of the odour emissions and impact prediction of odorous plants, defining these taking into account only the plant capacity for the quantification of the "activity index". The research presents the results of the study of a large Anaerobic-Aerobic integrated Treatment Plant (AATP) located in a sensitive area of the municipality of Salerno (southern Italy, Campania Region), identifying the principal odour sources and their characterization in terms of odour concentration and emissions by dynamic olfactometry. OEFs relevant to single-process steps are estimated using the experimental data set as well as compared with the theoretical ones proposed in literature studies on similar treatment facilities. SOEFs (Specific Odour Emission Factors) for the studied AATP are proposed for one unit, calculating them by taking into account specific real observed parameters of the phase...

Odour emissions are a global issue that needs to be controlled to prevent negative impacts. Instrumental odour monitoring systems (IOMS) are an intelligent technology that can be applied to continuously assess annoyance and thus avoid complaints. However, gaps to be improved in terms of accuracy in deciphering information, especially in the implementation of the mathematical model, are still being researched, especially in environmental odour monitoring applications. This research presents and discusses the implementation of traditional and innovative parametric and non-parametric prediction techniques for the elaboration of an effective odour quantification monitoring model (OQMM), with the aim of optimizing the accuracy of the measurements. Artificial neural network (ANN), multivariate adaptive regression splines (MARSpline), partial least square (PLS), multiple linear regression (MLR) and response surface regression (RSR) are implemented and compared for prediction of odour conce...

One of the most reliable methods for the prediction of odour impact from environmental facilities, strongly influenced by topography and local atmospheric dynamics, involves the use of atmospheric dispersion models.The present study focuses on the implementation of a dispersion model for the prediction of odour impact from a large and complex landfill system, localized in Borgo Montello (Latina), in the Lazio Region (Central Italy). The Calpuff dispersion model was selected for the simulations of odour impact, since it is well recognized as the preferred model for assessing the long range transport of pollutants. The odour emission rates, which are the inputs to the dispersion model, were defined on the basis of dynamic olfactometric analyses on air samples taken in the landfills areas. Different scenarios were simulated, with the aim of evaluating the odour impact caused by a project of landfill expansion through height raise. The environmental odour impacts were assessed through t...

One of the major source of complaint in relation to water quality in rivers is linked to odour emissions. However, in the monitoring and regulations for water quality, odour normally is not directly considered. This paper explores the application of the Odour Emission Capacity (OEC) as a surrogate parameter in the assessment of river water quality and discuss the relationship between odour status and the traditional analytical parameters used in assessment of the ecological status. The study presents a novel and complete procedure for the assessment of the river water quality able to reduce the overall costs of analyses. At same time, the study presents the reliability of the novel procedure application with the discussion of its application in case studies. Correlation with conventional approach was studies and discussed. Results underline the strong relationship between the organic content in the river samples and their odour in terms of OEC. OEC can be easily integrated in the as...

Odour measurement plays a crucial role in environmental odour management. Continuous odour measurement systems are promoted to keep the situation always under control, such as being able to adopt the most suitable mitigation measures in real time to avoid odour complaints and impacts. Electronic Nose (eNose) represents currently the instrument of having the highest future developing potential to guarantee continuous odour measurements. To use an eNose, a training phase is however mandatory, which has the scope to create the Odour Monitoring Model (OMM) that is able to identify the presence of odour, the different odour classes and the quantification of the odorous stimuly. Statistical or biological inspired measurement techniques are applied to create the optimum OMM.The study presents and discusses the elaboration of an Artificial Neural Network (ANN) technique to recognize environmental odour with eNose. The proposed system was architected on a feed-forward neural network with Bay...

Odour emissions generated by industrial and environmental protection plants are often a cause of nuisances and consequent conflicts in exposed populations. Their control is a key action to avoid complaints. Among the odour measurement techniques, the sensory-instrumental method with the application of Instrumental Odour Monitoring Systems (IOMSs) currently represents an effective solution to allow a continuous classification and quantification of odours in real time, combining the advantages of conventional analytical and sensorial techniques. However, some aspects still need to be improved. The study presents and discusses the investigation and optimization of the operational phases of an advanced IOMS, applied for monitoring of environmental odours, with the aim of increasing their performances and reliability of the measures. Accuracy rates of over 98% were reached in terms of classification performances. The implementation of automatic correction systems for the resistance value...

Prolonged exposure to odour emissions causes annoyance which leads to nuisance and consequently to complaints. Different methodologies exist in the literature to evaluate odour impacts, but not all are suitable to assess environmental odour nuisance. Information about their applicability criteria and comparison, is scarce and referred to short time analysis. The research presents and discusses the application of different methods to characterize and assess odour nuisance around an industrial plant localized in a sensitive area. Experimental activities are carried out through a long-time analysis programme. Field inspections and predictive methods are investigated and compared. A modification of the traditional dispersion modelling approach is proposed in order to adapt its application for the prediction of the odour nuisance. The offensiveness and location factors are identified as key parameters in the quantification of the perceived nuisance. The integrated dispersion modelling mu...

Instrumental odour monitoring systems (IOMS) are intelligent electronic sensing tools for which the primary application is the generation of odour metrics that are indicators of odour as perceived by human observers. The quality of the odour sensor signal, the mathematical treatment of the acquired data, and the validation of the correlation of the odour metric are key topics to control in order to ensure a robust and reliable measurement. The research presents and discusses the use of different pattern recognition and feature extraction techniques in the elaboration and effectiveness of the odour classification monitoring model (OCMM). The effect of the rise, intermediate, and peak period from the original response curve, in collaboration with Linear Discriminant Analysis (LDA) and Artificial Neural Networks (ANN) as a pattern recognition algorithm, were investigated. Laboratory analyses were performed with real odour samples collected in a complex industrial plant, using an advanc...

In everyday life people are simultaneously exposed to several annoying sources (sounds, vibrations and odours), which emerge from background of considerable variability of land uses, infrastructures, residential patterns, topography, meteorology condition, and standards quality of life. The European Union has provided in recent years (and is going to update) several tools to harmonize noise mapping methodologies and relative Noise Action Plans through directives and guidelines. Unfortunately the same efforts have not been put in the harmonization of approaches in other annoying sources like odours. As a consequence, each European Member State at national or even at local level defined its own direct or indirect approach to limit odour impacts, usually considerably different one from the others. The most common approach to deal with noise impact at a policy, economic and strategy level is the use of priority indices focused to highlight areas more sensitive and where mitigation actio...

One of the most reliable methods for the prediction of odour impact from environmental facilities, strongly influenced by topography and local atmospheric dynamics, involves the use of atmospheric dispersion models.The present study focuses on the implementation of a dispersion model for the prediction of odour impact from a large and complex landfill system, localized in Borgo Montello (Latina), in the Lazio Region (Central Italy). The Calpuff dispersion model was selected for the simulations of odour impact, since it is well recognized as the preferred model for assessing the long range transport of pollutants. The odour emission rates, which are the inputs to the dispersion model, were defined on the basis of dynamic olfactometric analyses on air samples taken in the landfills areas. Different scenarios were simulated, with the aim of evaluating the odour impact caused by a project of landfill expansion through height raise. The environmental odour impacts were assessed through t...

Several scientific studies suggest using Odour Emission Factors (OEFs) as a tool for the characterization of the odour emissions and impact prediction of odorous plants, defining these taking into account only the plant capacity for the quantification of the "activity index". The research presents the results of the study of a large Anaerobic-Aerobic integrated Treatment Plant (AATP) located in a sensitive area of the municipality of Salerno (southern Italy, Campania Region), identifying the principal odour sources and their characterization in terms of odour concentration and emissions by dynamic olfactometry. OEFs relevant to single-process steps are estimated using the experimental data set as well as compared with the theoretical ones proposed in literature studies on similar treatment facilities. SOEFs (Specific Odour Emission Factors) for the studied AATP are proposed for one unit, calculating them by taking into account specific real observed parameters of the phase...

Odour emissions are a global issue that needs to be controlled to prevent negative impacts. Instrumental odour monitoring systems (IOMS) are an intelligent technology that can be applied to continuously assess annoyance and thus avoid complaints. However, gaps to be improved in terms of accuracy in deciphering information, especially in the implementation of the mathematical model, are still being researched, especially in environmental odour monitoring applications. This research presents and discusses the implementation of traditional and innovative parametric and non-parametric prediction techniques for the elaboration of an effective odour quantification monitoring model (OQMM), with the aim of optimizing the accuracy of the measurements. Artificial neural network (ANN), multivariate adaptive regression splines (MARSpline), partial least square (PLS), multiple linear regression (MLR) and response surface regression (RSR) are implemented and compared for prediction of odour conce...

In everyday life people are simultaneously exposed to several annoying sources (sounds, vibrations and odours), which emerge from background of considerable variability of land uses, infrastructures, residential patterns, topography, meteorology condition, and standards quality of life. The European Union has provided in recent years (and is going to update) several tools to harmonize noise mapping methodologies and relative Noise Action Plans through directives and guidelines. Unfortunately the same efforts have not been put in the harmonization of approaches in other annoying sources like odours. As a consequence, each European Member State at national or even at local level defined its own direct or indirect approach to limit odour impacts, usually considerably different one from the others. The most common approach to deal with noise impact at a policy, economic and strategy level is the use of priority indices focused to highlight areas more sensitive and where mitigation actio...

One of the major source of complaint in relation to water quality in rivers is linked to odour emissions. However, in the monitoring and regulations for water quality, odour normally is not directly considered. This paper explores the application of the Odour Emission Capacity (OEC) as a surrogate parameter in the assessment of river water quality and discuss the relationship between odour status and the traditional analytical parameters used in assessment of the ecological status. The study presents a novel and complete procedure for the assessment of the river water quality able to reduce the overall costs of analyses. At same time, the study presents the reliability of the novel procedure application with the discussion of its application in case studies. Correlation with conventional approach was studies and discussed. Results underline the strong relationship between the organic content in the river samples and their odour in terms of OEC. OEC can be easily integrated in the as...

Prolonged exposure to odour emissions causes annoyance which leads to nuisance and consequently to complaints. Different methodologies exist in the literature to evaluate odour impacts, but not all are suitable to assess environmental odour nuisance. Information about their applicability criteria and comparison, is scarce and referred to short time analysis. The research presents and discusses the application of different methods to characterize and assess odour nuisance around an industrial plant localized in a sensitive area. Experimental activities are carried out through a long-time analysis programme. Field inspections and predictive methods are investigated and compared. A modification of the traditional dispersion modelling approach is proposed in order to adapt its application for the prediction of the odour nuisance. The offensiveness and location factors are identified as key parameters in the quantification of the perceived nuisance. The integrated dispersion modelling mu...

Instrumental odour monitoring systems (IOMS) are intelligent electronic sensing tools for which the primary application is the generation of odour metrics that are indicators of odour as perceived by human observers. The quality of the odour sensor signal, the mathematical treatment of the acquired data, and the validation of the correlation of the odour metric are key topics to control in order to ensure a robust and reliable measurement. The research presents and discusses the use of different pattern recognition and feature extraction techniques in the elaboration and effectiveness of the odour classification monitoring model (OCMM). The effect of the rise, intermediate, and peak period from the original response curve, in collaboration with Linear Discriminant Analysis (LDA) and Artificial Neural Networks (ANN) as a pattern recognition algorithm, were investigated. Laboratory analyses were performed with real odour samples collected in a complex industrial plant, using an advanc...

Arrays of chemical sensors, generally used in electronic noses (e.noses), yield a unique pattern for a given mixture of odours. In recent years, there has been an increasing interest in applications of e.noses for the characterization and monitoring of environmental odours. While they have been around over the last three decades, little effort has been devoted to the development of the measurement chamber. Within it, all sensors are placed in contact of the flux of air to characterize in terms of odours. A measurement chamber must ensure standardized conditions in term of temperature, humidity and contact time of inflow air with the sensor surfaces. Aim of this work is to numerically analyse the fluid dynamic performance of measurement chambers with different geometry in order to improve sensor response signals in terms of stability, reproducibility and response time. The Fluid dynamic study was carried out by a Computational Fluid Dynamic (CFD) commercial software. Results show an ...

Odours discharged from wastewater treatment plants generally cause severe damage to locals. When facility odors affect air quality and cause citizen complaints, an investigation of those odors may require using standardized scientific methods. Odour intensity is one of the main odour characterization parameter, and represents a important sensory indicator of environmental odours. Odour intensity reflects people's perception of odours and contributes to effective odour management. Presently, different international standards have been developed and used for decades in the world for the measurement of odours. Main consolidated methods are the measurement of odour index assessed by panelists, standardized in Japan and developed there more than 40 years ago; and the measured of odour concentration by dynamic olfactometer according to European standard EN13725:2003. In this study odour samples were collected on a municipal wastewater treatment plant located in southern Italy at four different treatment units to investigate the relationship between odour index assessed by Japanese standard methods and odour concentration measured with dynamic olfactometry according to European standard EN13725:2003. A monthly sampling and relative odour measurement were carried out for consecutive 8 months at the Laboratory of the Sanitary Environmental Engineering Division (SEED) at theUniversity of Salerno (Italy). Results show a strong linear correlation between the two investigated odour measurement methods, in the case of the measurement of high concentrations (e.g. odour concentration detected at the sludge treatments). While att lower odour concentrations (e.g. emission from oxidation tank) were observed a difference between the two methods.

There are various method in the world to sample and analyze odour. No matter what method or technique that is used, it should be accordingly to the standard. For the new researcher or people involved in order management, they might lack in knowledge on how to use a proper or a suitable technique to assess odour. In Malaysia, there is no specific method of handling the odour problem. Currently in this country is following the European standard, which using the Olfactometer to analyze odour. Since the Olfactometer is expensive for the first time of installation, a cost effective Odour Threshold Test has been developed from Japan was trying to introduce. A new method from Canada called SM100 Olfactometer was also available in the laboratory. Comparisons between those methods are studied and suitability for use are presented. For odour sampling, there are three types of source that need to be considered; point, area and volume. Proper techniques should be done in order to sample at vari...

The development of low-cost sensors, the introduction of technical performance specifications, and increasingly effective machine learning algorithms for managing big data have led to a growing interest in the use of instrumental odor monitoring systems (IOMS) for odor measurements from industrial plants. The classification and quantification of odor concentration are the main goals of IOMS installed inside industrial plants in order to identify the most important odor sources and to assess whether the regulatory thresholds have been exceeded. This paper illustrates the use of two machine learning algorithms applied to the concurrent classification and quantification of odors. Random Forest was employed, which is a machine learning algorithm that thus far has not been used in the field of odor quantification and classification for complex industrial situations. Furthermore, the results were compared with commonly used algorithms in this field, such as artificial neural network (ANN)...

Odours discharged from wastewater treatment plants generally cause severe damage to locals. When facility odors affect air quality and cause citizen complaints, an investigation of those odours may require using standardized scientific methods. Odour intensity is one of the main odour characterization parameter, and represents an important sensory indicator of environmental odours.

In the modern world of wastewater treatment, control of odors has moved from an afterthought to a primary design consideration for most collection and treatment facilities. As development encroaches on our facilities and our new neighbours become less tolerant of nuisance odors, wastewater professionals have found the need to address odor as a primary concern in the design and operation of collection and treatment facilities. When facility odors affect air quality and cause citizen complaints, an investigation of those odors may require that specific odorants be measured and that odorous air be measured using standardized scientific methods. Odour intensity is one of main odour characterization parameters, and remarkably common and important sensory indicator of environmental odours. Odour intensity reflects people's perception of odours and contributes to effective odour management. The "triangle odors bag method', which has been adopted for the offensive odors control law in Japan, and the dynamic olfactometry defined by EN 13725 has been adopted in Europe. These methods are the worldwide used for as reference methods for the sensorial measurement of odours. On these methods are also based the training of electronic nose (e.Nose). In this study odour samples were collected on municipal wastewater treatment plant located in south Italy at four different treatment units to determine the relationship between odour intensity assessed by Japanese "triangle odors bag method', odour concentration measured with dynamic olfactometry according to European standard EN13725:2003 and with odour concentration measured by a novel prototype of e.Nose patented by University of Salerno. A monthly sampling and relative measurements were carried out for consecutive 12 months at Laboratory of Sanitary Environmental Engineering Division (SEED) at University of Salerno (Italy). Results show when high odours were detected by Japanese standard, the odour concentrations measured according European standard were also high (e.g. emission from sludge line). Concentrations measured by e.Nose are strongly correlated with the measurements carried out by standard methods.

Several scientific studies suggest using Odour Emission Factors (OEFs) as a tool for the characterization of the odour emissions and impact prediction of odorous plants, defining these taking into account only the plant capacity for the quantification of the "activity index". The research presents the results of the study of a large Anaerobic-Aerobic integrated Treatment Plant (AATP) located in a sensitive area of the municipality of Salerno (southern Italy, Campania Region), identifying the principal odour sources and their characterization in terms of odour concentration and emissions by dynamic olfactometry. OEFs relevant to single-process steps are estimated using the experimental data set as well as compared with the theoretical ones proposed in literature studies on similar treatment facilities. SOEFs (Specific Odour Emission Factors) for the studied AATP are proposed for one unit, calculating them by taking into account specific real observed parameters of the phase. The results show how the major odour emissions of a AATP are associated to the composting process. OEFs calculated as a function of the plant capacity or with other specific factors (SOEFs) show different values.

In everyday life people are simultaneously exposed to several annoying sources (sounds, vibrations and odours), which emerge from background of considerable variability of land uses, infrastructures, residential patterns, topography, meteorology condition, and standards quality of life. The European Union has provided in recent years (and is going to update) several tools to harmonize noise mapping methodologies and relative Noise Action Plans through directives and guidelines. Unfortunately the same efforts have not been put in the harmonization of approaches in other annoying sources like odours. As a consequence, each European Member State at national or even at local level defined its own direct or indirect approach to limit odour impacts, usually considerably different one from the others. The most common approach to deal with noise impact at a policy, economic and strategy level is the use of priority indices focused to highlight areas more sensitive and where mitigation actions will be more advisable or urgent. Locations that for their specific land use are more sensitive to noise impacts (e.g. residential areas) are generally also sensitive to odour impacts. According these, the aim of the present research is to provide a brief review of the most used European strategies in noise action plans end try to extend their approaches for the definition of a nuisance action plan, able to control both odour and noise. Paper present a possible implementation of integrated nuisances action plan in the municipality of Palma Campania (Campania Region, Italy). The analysis underlines that is possible define, under the same set of nuisance indicators, the degree of sensitivity of areas according to population, land uses, levels of exposures and/or distance from the annoying sources. Nuisance acceptability levels are then definable according to the sensitivity degree of the locations. Factors related to vibrations and visual perception of the landscape can further contribute to control total sensorial annoyance in the land planning.

One of the most reliable methods for the prediction of odour impact from environmental facilities, strongly influenced by topography and local atmospheric dynamics, involves the use of atmospheric dispersion models. The present study focuses on the implementation of a dispersion model for the prediction of odour impact from a large and complex landfill system, localized in Borgo Montello (Latina), in the Lazio Region (Central Italy). The Calpuff dispersion model was selected for the simulations of odour impact, since it is well recognized as the preferred model for assessing the long range transport of pollutants. The odour emission rates, which are the inputs to the dispersion model, were defined on the basis of dynamic olfactometric analyses on air samples taken in the landfills areas. Different scenarios were simulated, with the aim of evaluating the odour impact caused by a project of landfill expansion through height raise. The environmental odour impacts were assessed through the evaluation of the area which would be impacted by odour emissions due to the implementation of the expansion project, in comparison to the actual air quality conditions with no further control measures. This one allowed for quantifying the alteration of the environmental quality state as well as designing the systems and interventions to be implemented to reduce the odour in the impacted area of the surroundings.

Odour emissions from liquid waste treatment plants (LWTPs) generally cause significant effects on the environment in terms of nuisance to exposed population. The particular and complex nature of the mixture of the volatile substances, its variability in time and the strong influence of the atmospheric conditions, are the elements that delayed their regulation and relative management.

Unwanted odour emissions are considered air pollutants that may cause detrimental impacts to the environment as well as an indicator of unhealthy air to the affected individuals resulting in annoyance and health related issues. These pollutants are challenging to handle due to their invisibility to the naked eye and can only be felt by the human olfactory stimuli. A strategy to address this issue is by introducing an intelligent processing system to odour monitoring instrument such as artificial neural network to achieve a robust result. In this paper, a review on the application of artificial neural network for the management of environmental odours is presented. The principal factors in developing an optimum artificial neural network were identified as elements, structure and learning algorithms. The management of environmental odour has been distinguished into four aspects such as measurement, characterization, control and treatment and continuous monitoring. For each aspect, the performance of the neural network is critically evaluated emphasizing the strengths and weaknesses. This work aims to address the scarcity of information by addressing the gaps from existing studies in terms of the selection of the most suitable configuration, the benefits and consequences. Adopting this technique could provide a new avenue in the management of environmental odours through the use of a powerful mathematical computing tool for a more efficient and reliable outcome.

There are various method in the world to sample and analyze odour. No matter what method or technique that is used, it should be accordingly to the standard. For the new researcher or people involved in order management, they might lack in knowledge on how to use a proper or a suitable technique to assess odour. In Malaysia, there is no specific method of handling the odour problem. Currently in this country is following the European standard, which using the Olfactometer to analyze odour. Since the Olfactometer is expensive for the first time of installation, a cost effective Odour Threshold Test has been developed from Japan was trying to introduce. A new method from Canada called SM100 Olfactometer was also available in the laboratory. Comparisons between those methods are studied and suitability for use are presented. For odour sampling, there are three types of source that need to be considered; point, area and volume. Proper techniques should be done in order to sample at various sources. This paper would guide on sampling method, test procedure and data analysis of some method. This would make sense as the newer can choose their technique based on available instrument and environment condition.

Arrays of chemical sensors, generally used in electronic noses (e.noses), yield a unique pattern for a given mixture of odours. In recent years, there has been an increasing interest in applications of e.noses for the characterization and monitoring of environmental odours. While they have been around over the last three decades, little effort has been devoted to the development of the measurement chamber. Within it, all sensors are placed in contact of the flux of air to characterize in terms of odours. A measurement chamber must ensure standardized conditions in term of temperature, humidity and contact time of inflow air with the sensor surfaces. Aim of this work is to numerically analyse the fluid dynamic performance of measurement chambers with different geometry in order to improve sensor response signals in terms of stability, reproducibility and response time. The Fluid dynamic study was carried out by a Computational Fluid Dynamic (CFD) commercial software. Results show an objective methodological approach that can be used to design measurement chamber for electronic noses.

Abstract: This paper evaluates the accuracy of the newly introduced ultra-portable olfactometer,
Scentroid SM100 developed by IDES Canada Inc, with two techniques traditionally used for
assessing ambient odours: Nasal Ranger instrument and a lung technique with the dynamic
olfactometry laboratory analysis of collected samples. A similar study was presented at the recent
NOSE 2012 odour conference [1], where the results indicated good correlation between Scentroid
SM100 and other techniques used for assessing odours: a) collection of the samples at the sources
and dispersion modeling analysis to predict off site odour concentrations and b) ambient sampling
using lung technique and odour panel evaluation by dynamic olfactometry. However, the study
was based on the data when the odour was in the range 90 ou to 3000 ou. At that time the low
ranges of the Scentroid SM100 was not studied; therefore this paper is to present data based on an
extensive study of the Scentroid SM100 when the odour concentration of ambient odour is in the
range of 2 ou to 100 ou. This time the results are compared with Nasal Ranger instrument and lung
technique used for collection of ambient samples and odour panel evaluation.

Degradation is inherent part of odour sampling and olfactometery analysis. There are many techniques that can be deployed in order to minimize sample degradation, such as nitrogen-based pre-dilution and sealed transportation vessels. Despite the best efforts to keep the volatilization at bay - sample degradation has forced European and American standards to implement a thirty (30) hour expiration on all odour samples. German standard VDI3880, and possible the soon to be revised EN13725 standard, limit sample storage to 6 hours unless it can be shown that the sample degradation is within acceptable limit. Field-olfactometers such the Scentroid SM100, can be used as part of the quality assurance program by measuring samples immediately after acquisition and immediately prior to analysis by the laboratory to ensure odour degradation is within these defined limits. However, observations have shown samples can degrade by an order of ten magnitudes in a span of less than 24 hours. This study provides data on sample degradation from a variety of sources over a span of 24 hours. Samples will be stored in Nalophan, Tedlar®, and the newly introduced PTFE bags. Data has shown that the much higher density of PTFE provides slower sample degradation than Tedlar® or Nalophan. This is especially true of samples with high humidity, Ammonia, or H2S. To properly simulate shipping conditions a portion of the study focuses on samples that are subjected to lower pressure and temperature similar to those found in standard cargo planes. These samples are compared to those which have been stored at standard conditions (room temperature at 1 atmosphere).