This page has only limited features, please log in for full access.
Within the research, on the premises of an agricultural plant, the odour concentration was measured, and the odour emission was determined. The obtained values allowed us to analyse the odour distribution using the Polish reference mathematical model for four different scenarios, including (1) all identified emission sources, i.e., point and surface: scenarios 1 and 2, and (2) only point sources, scenario 3 and 4. The values of the comparative level and the frequency of exceedances in scenarios 1 and 3 were based on the Polish draft act on counteracting odour nuisance, while the Dutch guidelines were used for scenarios 2 and 4. Model calculations showed the potential impact of the tested structure on adjacent residential areas, i.e., in scenarios 1 and 2, the permissible value of the frequency of exceedances was exceeded at all points representing residential buildings. The exceedances for scenario 3 and 4 took place in seven out of eight and two out of eight points, respectively. The results indicated that to accurately and reliably assess the odour impact and to determine the measures to prevent and reduce odour emissions, it is necessary to consider all types of emission sources in the facilities potentially causing odour nuisance.
Izabela Sówka; Marcin Pawnuk; Urszula Miller; Agnieszka Grzelka; Alicja Wroniszewska; Yaroslav Bezyk. Assessment of the Odour Impact Range of a Selected Agricultural Processing Plant. Sustainability 2020, 12, 7289 .
AMA StyleIzabela Sówka, Marcin Pawnuk, Urszula Miller, Agnieszka Grzelka, Alicja Wroniszewska, Yaroslav Bezyk. Assessment of the Odour Impact Range of a Selected Agricultural Processing Plant. Sustainability. 2020; 12 (18):7289.
Chicago/Turabian StyleIzabela Sówka; Marcin Pawnuk; Urszula Miller; Agnieszka Grzelka; Alicja Wroniszewska; Yaroslav Bezyk. 2020. "Assessment of the Odour Impact Range of a Selected Agricultural Processing Plant." Sustainability 12, no. 18: 7289.
This article discusses the importance of air quality for the organization and functioning of health resorts. Ten different types of resorts located in various regions of Poland were compared in terms PM10 concentration. Additionally, comparative analysis of the high-PM10 episodes was performed in three urban agglomerations located near the analyzed health resorts. The article also discusses formal, legal, and economic instruments that are the basis for legislative actions as tools for managing the air quality in the selected resorts. The analysis of the average annual concentrations in 2015–2019 did not show any exceedances of the PM10 limit value for any of the health resorts studied. High PM10 concentration values in 2018 were recorded for the number of days in exceedance of the limit value, especially in the health resorts of Uniejów, Ciechocinek, and Szczawno-Zdrój. Health resorts located in the south of Poland were identified as the most at risk in terms of the occurrence of limit value exceedances, information, and alert thresholds. It was concluded that the implementation of the so called “anti-smog” resolutions, including the development of financial support for changing the heating system to eliminate coal boilers and furnaces, is absolutely necessary for air quality improvement.
Dominik Kobus; Beata Merenda; Izabela Sówka; Anna Chlebowska-Styś; Alicja Wroniszewska. Ambient Air Quality as a Condition of Effective Healthcare Therapy on the Example of Selected Polish Health Resorts. Atmosphere 2020, 11, 882 .
AMA StyleDominik Kobus, Beata Merenda, Izabela Sówka, Anna Chlebowska-Styś, Alicja Wroniszewska. Ambient Air Quality as a Condition of Effective Healthcare Therapy on the Example of Selected Polish Health Resorts. Atmosphere. 2020; 11 (8):882.
Chicago/Turabian StyleDominik Kobus; Beata Merenda; Izabela Sówka; Anna Chlebowska-Styś; Alicja Wroniszewska. 2020. "Ambient Air Quality as a Condition of Effective Healthcare Therapy on the Example of Selected Polish Health Resorts." Atmosphere 11, no. 8: 882.
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.
Alicja Wroniszewska; Jerzy Zwoździak. Odor Annoyance Assessment by Using Logistic Regression on an Example of the Municipal Sector. Sustainability 2020, 12, 6102 .
AMA StyleAlicja Wroniszewska, Jerzy Zwoździak. Odor Annoyance Assessment by Using Logistic Regression on an Example of the Municipal Sector. Sustainability. 2020; 12 (15):6102.
Chicago/Turabian StyleAlicja Wroniszewska; Jerzy Zwoździak. 2020. "Odor Annoyance Assessment by Using Logistic Regression on an Example of the Municipal Sector." Sustainability 12, no. 15: 6102.