The influence of the methods of measuring odours nuisance on the quality of life

Wojnarowska, Magdalena; Sagan, Adam; Plichta, Jarosław; Plichta, Grażyna; Szakiel, Jerzy; Turek, Paweł; Sołtysik, Mariusz

doi:10.1016/j.eiar.2020.106491

Cited by 7 publications

(6 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An analysis of the impact of individual senses on spatial perception was proposed by Edward T. Hall (1978), who considered objects in space from the perspective of three basic human senses, namely hearing, smell and vision (Hall, 1978). Consequently, spatial perception and, therefore the quality of life is significantly impacted by sounds (Lewandowski & Szumacher, 2008) and odours (Bernat, 2010;Wojnarowska et al, 2021;Turek, 2021) and sights (Frydryczak, 2016), respectively. Furthermore, those feel- ings may occur jointly, and their impact depends on the individual feelings and needs (including social needs) of a person.…”

Section: Nuisance Objects In Relation To Human Sensesmentioning

confidence: 99%

An algorithm for the identification of nuisance objects in urban space in relation to the social function of sustainable development

Sajnóg

Zysk

Prokopczuk³

et al. 2022

EiS

View full text Add to dashboard Cite

In this paper, the authors argue that it is necessary to identify and visualize nuisance objects in a given urban space and the level of nuisance they create. To this end, the authors propose an algorithm, the results of which provide information on the preferences of residents. The obtained results are recorded and visualized in Geographic Information System (GIS) software that enables their implementation into open-access map portals. The added value of the research is a wide public access to data, enabling decision-making models within the context of precision spatial planning to help find solutions for limiting the negative effects of nuisance objects. Studies have shown that nuisance objects are present in urban space, and the weight of their impact on society is significant. The aim of the research and of the developed algorithm is to improve the quality of life of residents in the context of sustainable urban development.

show abstract

Section: Nuisance Objects In Relation To Human Sensesmentioning

confidence: 99%

An algorithm for the identification of nuisance objects in urban space in relation to the social function of sustainable development

Sajnóg

Zysk

Prokopczuk³

et al. 2022

EiS

View full text Add to dashboard Cite

show abstract

“…Many factors negatively affect a person's quality of life and one of these is odor pollution, frequently taken into consideration as people decide whether to stay or leave their existing place of residence. [ 1 ] In many urban areas, odor pollution is a serious problem, but the evaluation and management of this type of pollution is frequently overlooked during urban planning. Planners should consider odor pollution in their land use and urban development strategies by determining its range and spatiotemporal variations.…”

Section: Introductionmentioning

confidence: 99%

“…Variation of concentration over time at the coordinates where maximum concentrations were observed(1,3,6,12 and 24-hours).…”

mentioning

confidence: 99%

Assessment of environmental odor pollution using a dispersion model in an industrialized urban area of Kocaeli, Turkey

Ergün Yüksel,

Çetin Doğruparmak,

Pekey

et al. 2024

CLEAN Soil Air Water

View full text Add to dashboard Cite

The main goal of the present study was to highlight how crucial odor evaluation methods may be for raising the general standard of living in a region. For this, the dispersion of odor concentrations detected by an olfactometric method in an area of Kocaeli, Turkey, where odor problems are frequently experienced, was investigated using the AERMOD atmospheric dispersion modeling system. According to the findings of the olfactometric measurement, the mean odor concentrations in the industrial area was high at 1342 OU m–3, while in the residential areas the values were lower, at 578 OU m–3 within the selected study area. As a result of the modeling study, the maximum odor concentration was 2081 OU m–3 at the 1 h. The model also showed that the coordinate points where the maximum odor concentration was observed changed with time, and that the concentrations recorded at the 1 h may decrease by as much as 88%–91% at the 24 h. In the study, a survey was also conducted to identify possible effects of odor pollution on people. The survey findings showed a statistically significant difference (p < 0.05) between the two areas (industrial and residential) for seven variables of a total 28. We suggest that measuring odor concentrations, modeling their distribution, and conducting surveys are effective methods when managing the urban planning process.

show abstract

“…For example, odour nuisance may cause complaints by the exposed population, which can cause the shut-down of the activities that are responsible for the emission of odorants in an area [18]. In tourist areas, odour nuisance may cause the decline of tourism, decrease the quality of life and, in general, odour nuisance may cause the loss of values of houses or terrains and influence the property market [19]- [22].…”

Section: Introductionmentioning

confidence: 99%

In-Depth Analysis on Odour Dispersion Modelling and Its Applications to Waste Management Operations

Adami

Schiavon

Tubino

2022

WIT Transactions on Ecology and the Environment

View full text Add to dashboard Cite

The management of waste entails the emission of a large variety of compounds into the atmosphere. Waste management processes (e.g. collection and transportation of waste, discharging of waste in dedicated facilities, mechanical-biological treatments and landfill disposal) are known for causing the problem of odour nuisance in the vicinity of waste treatment plants. Substances like volatile organic compounds, sulphides and nitrogen-based compounds are usually associated with waste management processes and, in general, are characterised by low odour threshold values, i.e. they are detected by the human sense of smell even at relatively low concentrations in ambient air. Dispersion modelling represents a fundamental step for the estimation of the odour impact near odour emission sources. However, the results of odour dispersion simulations are strongly affected by the initial hypotheses on the emission sources considered, by specific modelling parameters and by the quality of meteorological and morphological input data. In addition, the variability in the human perception of odour may not allow making universal conclusions on the results of an odour impact assessment, and this further complicates the matter. The aim of this paper is to shed light on the criticalities involved in the assessment of the odour impacts from waste management activities. The paper analyses and discusses the potential influences of the choices made during the preparation of dispersion modelling simulations. This contribution is expected to enrich the knowledge base on odour dispersion modelling and to help proponents, environmental consultants and environmental agencies to estimate the impacts induced by current and future waste management operations.

show abstract

The influence of the methods of measuring odours nuisance on the quality of life

Cited by 7 publications

References 50 publications

An algorithm for the identification of nuisance objects in urban space in relation to the social function of sustainable development

An algorithm for the identification of nuisance objects in urban space in relation to the social function of sustainable development

Assessment of environmental odor pollution using a dispersion model in an industrialized urban area of Kocaeli, Turkey

In-Depth Analysis on Odour Dispersion Modelling and Its Applications to Waste Management Operations

Contact Info

Product

Resources

About