Application of field studies and geostatistical methods in assessment of odour nuisance based on selected examples from municipal, industrial and agricultural environments

Sówka, Izabela; Pachurka, Łukasz; Bezyk, Yaroslav; Grzelka, Agnieszka; Miller, Urszula

doi:10.1515/oszn-2017-0007

Cited by 6 publications

(5 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to assess the impact of a smell on the health and well-being of the inhabitants of areas adjacent to the source of odors, two types of research can be conducted: survey [4][5][6][7] and field research [7][8][9][10][11][12][13]. The aim of the questionnaires is to identify the reactions of people living in areas exposed to the presence of unwanted odors and to designate an area where the problem can be observed.…”

Section: Introductionmentioning

confidence: 99%

Odor Annoyance Assessment by Using Logistic Regression on an Example of the Municipal Sector

Wroniszewska

Zwoździak²

2020

Sustainability

View full text Add to dashboard Cite

Around the sewage treatment plant, in the area affected by a large number of complaints about odor annoyance, field measurements of odor properties and questionnaires were carried out. It was confirmed that the inhabitants of the zone closest to the plant are most exposed to the smell, the most intense smell comes from the sludge dryer building, and smells from primary settling tanks and sediment plots are perceived as unpleasant. The analysis of surveys confirmed the problem of odor nuisance, especially in the immediate vicinity, where over 50% of respondents considered odor annoyance as extreme. A division of respondents was introduced into those experiencing severe nuisance and those for whom the smell was not annoying. Then, to relate the probability of occurrence of odor nuisance with a group of independent variables, logistic regression was used to describe the impact of independent variables on the dichotomous dependent variable. It has been shown that the likelihood of experiencing odor nuisance increases with the increase in the intensity of current odors, the parallel noise, and in people who focus on the existing smell, and decreases with increasing satisfaction with their health and in the case of regularly occurring odor.

show abstract

Section: Introductionmentioning

confidence: 99%

Odor Annoyance Assessment by Using Logistic Regression on an Example of the Municipal Sector

Wroniszewska

Zwoździak²

2020

Sustainability

View full text Add to dashboard Cite

show abstract

“…Many methods are used to assess the odour nuisance of agricultural facilities (in particular those dealing with animal husbandry). One of the most commonly used are sensory methods, including dynamic olfactometry and fi eld olfactometry (Korczyński et al, 2011;Gębicki, Byliński & Namieśnik, 2016;Sówka, Pachurka, Bezyk, Grzelka & Miller, 2017b). In the latter case, the test results obtained at the measuring points can be used in the analysis of spatial distributions, which allow, among others assessment of variability of pollution concentrations and assessment of air quality (Wong, Yuan & Perlin, 2004;Sówka, Grzelka, Bezyk & Miller, 2017a;Núñez-Alonso, Pérez-Arribas, Manzoor & Cáceres, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…In the latter case, the test results obtained at the measuring points can be used in the analysis of spatial distributions, which allow, among others assessment of variability of pollution concentrations and assessment of air quality (Wong, Yuan & Perlin, 2004;Sówka, Grzelka, Bezyk & Miller, 2017a;Núñez-Alonso, Pérez-Arribas, Manzoor & Cáceres, 2019). GIS-based model tools are used, among others, in the study of odour dispersion based on measurement data obtained by dynamic olfactometry and measurement data from the so-called fi eld inspections (Sówka et al, 2017a(Sówka et al, , 2017b. However, there have been no attempts to perform geostatistical analyses based on the results of odour concentration measurements by fi eld olfactometry.…”

Section: Introductionmentioning

confidence: 99%

The use of ordinary kriging and inverse distance weighted interpolation to assess the odour impact of a poultry farming

Sówka¹,

Grzelka²,

Pawnuk³

et al. 2020

srees

Self Cite

View full text Add to dashboard Cite

The aim of the study was to determine the usefulness of spatial data interpolation methods in analyses of the odour impact of animal husbandry facilities. The interpolation methods of data obtained from measurements using the field olfactometry technique were the ordinary kriging method (OK) and the inverse distance weighted method (IDW). The quality of the analyses that have been obtained indicates the potentially better use of the OK method in the presentation of spatial odour concentration distributions.

show abstract

“…Several types of odor data have been studied using GIS. The spatial analysis of odor intensity data collected from lab-based (dynamic) olfactometry [23] and field panels/assessors (human receptors) [24] have proved valuable in evaluating spatial pattern. Sówka et al [24] contend that the use of GIS for the analysis of odor data recorded using a field olfactometer is one of the most promising methodologies for the study of odor, yet few studies have employed these methods together.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Urban Odor with Field Olfactometry in Camden, NJ

et al. 2019

View full text Add to dashboard Cite

Odor annoyance negatively impacts residents of communities adjacent to persistent nuisance industries. These residents, often with a high percentage of minority or otherwise marginalized residents, experience subjective and objective impacts on health and well-being; yet, reliable methods for quantifying and categorizing odors have been elusive. Field olfactometry is integral to the study of odor annoyance experienced by communities as it includes both qualitative (human perception) and quantitative (intensity measurement) dimensions of human odor experience and has been employed by municipalities in the U.S. to evaluate odor pollution levels. Cartographic visualization of odor data recorded using a field olfactometer offers further opportunity to evaluate potential patterns of odor annoyance, yet the use of field olfactometry and geographic information systems have not been frequently employed by geographers. By employing a mixed-methods approach to evaluate odor pollution, this study addresses the environmental justice context by quantifying and categorizing the presence of odor pollution in Waterfront South, a neighborhood in Camden, NJ previously identified for its disproportionate malodor burden. This study offers support to mixed methods research and the need for monitoring subjective and objective impacts in communities with compounding odor nuisance industries.

show abstract

Application of field studies and geostatistical methods in assessment of odour nuisance based on selected examples from municipal, industrial and agricultural environments

Cited by 6 publications

References 1 publication

Odor Annoyance Assessment by Using Logistic Regression on an Example of the Municipal Sector

Odor Annoyance Assessment by Using Logistic Regression on an Example of the Municipal Sector

The use of ordinary kriging and inverse distance weighted interpolation to assess the odour impact of a poultry farming

Evaluating Urban Odor with Field Olfactometry in Camden, NJ

Contact Info

Product

Resources

About