Assessment of the Odour Impact Range of a Selected Agricultural Processing Plant

Sówka, Izabela; Pawnuk, Marcin; Miller, Urszula; Grzelka, Agnieszka; Wroniszewska, Alicja; Bezyk, Yaroslav

doi:10.3390/su12187289

Cited by 6 publications

(8 citation statements)

References 26 publications

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“…The c od during January 2022 was below the detection threshold for the whole aerobic stabilization area. The points located near the green waste storage area (18,26) show trends similar to the aerobic stabilization area, which is in the direct vicinity. During December 2021, the c od was below the detection threshold for both points.…”

Section: The Results Of Field Olfactometry Measurementsmentioning

confidence: 84%

“…Field olfactometry was used in the measurements. Some other sources show that field olfactometry can be used in odor quality assessment related to animal feeding and husbandry [16,17] or as a tool to identify odor sources at agricultural plant [18]. The evaluation of odors from widely understood waste management is one of the most important areas of the field olfactometry application.…”

Section: Introductionmentioning

confidence: 99%

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The Use of Field Olfactometry in the Odor Assessment of a Selected Mechanical–Biological Municipal Waste Treatment Plant within the Boundaries of the Selected Facility—A Case Study

2023

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Odor management plans indicate the need to identify odor sources in waste management facilities. Finding the right tool for this type of task is a key element. This article covers a new approach for odor quantification and source identification at a selected waste management facility by coupling field olfactometry and the spatial interpolation method, such as inverse weighted distance. As the results show, this approach works only partially. Field olfactometry seems to be a suitable tool for odor identification that could be an instrument incorporated into odor management plans as it allowed for recognition of most odor-generating places at the selected facility, i.e., waste stabilization area, green waste storage area, and bioreactors. However, spatial distributions obtained by the selected interpolation method are characterized by high errors during cross-validation, and they tend to overestimate odor concentrations. The substantial weakness of the selected interpolation method is that it cannot handle points where the odor concentration is below the detection threshold. Therefore, the usefulness of such a method is questionable when it comes to odor management plans. Since field olfactometry is a reliable tool for odor measurements, further research into computational methods is needed, including advanced interpolation methods or dispersion modeling based on field olfactometry data.

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Section: The Results Of Field Olfactometry Measurementsmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

The Use of Field Olfactometry in the Odor Assessment of a Selected Mechanical–Biological Municipal Waste Treatment Plant within the Boundaries of the Selected Facility—A Case Study

2023

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“…An example of software that includes macroscale emission calculation models is the Operat FB package. It is used to model the dispersion of pollutants in ambient air from point, line, and surface sources [68]. It has a "car" module, which makes it possible to calculate the emissions from car traffic on roads.…”

Section: Macroscopic Emission Modelsmentioning

confidence: 99%

Vehicle Emission Models and Traffic Simulators: A Review

Mądziel¹

2023

Preprint

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Accurate estimation of vehicle emissions is essential and can be helpful in the decision-making process. Thanks to calculation methods, it is possible to accurately estimate the emissions that result from driving a car and to determine their impact on, for example, the health of pedestrians who are on the pavement near an arterial road. Recent years have seen an increase in the use and importance of emission models, as well as vehicle traffic simulation models. Increasingly, emission models are being combined with traffic simulation models, as it is not practical to actually measure the on-road emissions of an entire fleet of vehicles over a given stretch of road. This paper provides an overview of the selected work on the topic of emission modelling and vehicle traffic simulation models. The models are distinguished according to their respective scales of accuracy, i.e., micro, meso, and macro. Selected work combining emission and traffic simulation models is also presented, as well as development trends in the field. In particular, the paper also highlights the fact of proper calibration of vehicle traffic simulation models in order to obtain the most reliable vehicle emissions results from computational models. The review of the works carried out may be helpful for future projects concerning the use of simulation tools for transport and environmental decision-makers in the area of arterial roads.

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“…Therefore, the application of dynamic olfactometry requires combination with dispersion modelling [49,50]. These mathematical models merge olfactometry results with meteorological and geographical data and calculate how the emitted odor is transported through the air to the people living in the neighborhood of a particular odor source [51,52].…”

Section: Dynamic Olfactometrymentioning

confidence: 99%

Electronic Noses and Their Applications for Sensory and Analytical Measurements in the Waste Management Plants—A Review

Jońca

Pawnuk

Arsen

et al. 2022

Sensors

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Waste management plants are one of the most important sources of odorants that may cause odor nuisance. The monitoring of processes involved in the waste treatment and disposal as well as the assessment of odor impact in the vicinity of this type of facilities require two different but complementary approaches: analytical and sensory. The purpose of this work is to present these two approaches. Among sensory techniques dynamic and field olfactometry are considered, whereas analytical methodologies are represented by gas chromatography–mass spectrometry (GC-MS), single gas sensors and electronic noses (EN). The latter are the core of this paper and are discussed in details. Since the design of multi-sensor arrays and the development of machine learning algorithms are the most challenging parts of the EN construction a special attention is given to the recent advancements in the sensitive layers development and current challenges in data processing. The review takes also into account relatively new EN systems based on mass spectrometry and flash gas chromatography technologies. Numerous examples of applications of the EN devices to the sensory and analytical measurements in the waste management plants are given in order to summarize efforts of scientists on development of these instruments for constant monitoring of chosen waste treatment processes (composting, anaerobic digestion, biofiltration) and assessment of odor nuisance associated with these facilities.

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Assessment of the Odour Impact Range of a Selected Agricultural Processing Plant

Cited by 6 publications

References 26 publications

The Use of Field Olfactometry in the Odor Assessment of a Selected Mechanical–Biological Municipal Waste Treatment Plant within the Boundaries of the Selected Facility—A Case Study

The Use of Field Olfactometry in the Odor Assessment of a Selected Mechanical–Biological Municipal Waste Treatment Plant within the Boundaries of the Selected Facility—A Case Study

Vehicle Emission Models and Traffic Simulators: A Review

Electronic Noses and Their Applications for Sensory and Analytical Measurements in the Waste Management Plants—A Review

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