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Article

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Title

The Impact of Microclimate Parameters on Odour Emissions from Pig Production in Spring

Authors

[ 1 ] Instytut Inżynierii Środowiska i Instalacji Budowlanych, Wydział Inżynierii Środowiska i Energetyki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.10] Environmental engineering, mining and energy

Year of publication

2020

Published in

Ecological Chemistry and Engineering S

Journal year: 2020 | Journal volume: vol. 26 | Journal number: no. 4

Article type

scientific article

Publication language

english

Keywords
EN
  • odour concentration
  • odour emission factor
  • deep-litter piggery
  • microclimate
Abstract

EN The aim of this study was to examine the impact of inside temperature and relative humidity, ventilation rate and gas concentrations (NH3, N2O, CO2) on odour emissions from deep-litter piggery. The studied facility had temperature-controlled mechanical ventilation. The measurements were conducted from March to June 2014. During the research, selected microclimate parameters, as well as number and mass of animals were monitored and air samples were collected (two samples of air in each series of measurements). Temperature and relative humidity were measured using Testo 435-4 multifunctional measuring instrument. To measurements of gas concentrations was used the photo-acoustic spectrometer Multi Gas Monitor Model 1312. The concentration of odours in the air samples was determined by dynamic olfactometry with the TO 8 olfactometer, according to PN-EN 13725:2007. The odour concentration ranged from 450 to 2004 ouE · m–3 (mean 1048 ouE · m–3) and the mean odour emission factor was from 5.76 to 46.79 ouE · (s · pig)–1 (mean 20.93 ouE· (s · pig)–1. The statistical analysis showed that the inside temperature explained most of the variability of the odour concentration and the relationship was described by equation: cod = 5634 – 197 Tinside (R2 = 0.82, p ≤ 0.05). For odour emission factor, two parameters: the inside temperature and ventilation rate, explained most of the variability, according to the equation: EFod = 108 + 1939 VR – 5.5 Tinside (R2 = 0.81, p ≤ 0.05).

Date of online publication

21.01.2020

Pages (from - to)

697 - 707

DOI

10.1515/eces-2019-0050

URL

https://www.degruyter.com/view/j/eces.2019.26.issue-4/eces-2019-0050/eces-2019-0050.xml

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Full text of article

Download file

Access level to full text

public

Ministry points / journal

40

Ministry points / journal in years 2017-2021

40

Impact Factor

1,545

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