Odor concentration estimation using the principal component regression ; in the grow to finish swine pen

Saem Ee Woo; YuNa Jang; Min Woong Jung; Si Young Seo

doi:10.11109/JAES.2021.23.1.021

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2021 Vol.23, Issue 1 Preview Page Next Page

Research article

Odor concentration estimation using the principal component regression ; in the grow to finish swine pen 주성분 회귀모형을 이용한 돈사 내부 악취 추정 모델 개발

30 April 2021. pp. 21-28

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Abstract

In this study, a odor concentration estimation model in the grow to finish swine pen was derived using principal component analysis and multiple regression models. 14 kinds of odor compounds were used. Prior to the statistical analysis, the missing value (less than MDL)for each compounds was imputed with MDL/2, and the concentration of the odor compounds and the odor unit were log-transformed to follow a normal distribution. The three principal components extracted through principal component analysis explained for 77.03% of the initial variables. The correlation between Principal components and odor compounds was evaluated by the loading value. PC1 was correlated with VOC (10 Type), PC2 with sulfur compounds (3 Type), and PC3 with ammonia and hydrogen sulfide. A odor concentration estimation model was derived using PC1, PC2, PC3 as independent variables. As a result, the model and the regression coefficient were statistically significant (p < 0.05), but adjusted R² (0.25) was low.

Keywords

Odor estimation

Principal component analysis

Multiple regression

Swine odor

Odor measure

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Information

Publisher :The Korean Society of Animal Environmental Science & Technology
Publisher(Ko) :(사)한국축산환경학회
Journal Title :Journal of Animal Environmental Science
Journal Title(Ko) :축산시설환경학회지
Volume : 23
No :1
Pages :21-28
Received Date : 2021-01-24
Revised Date : 2021-02-19
Accepted Date : 2021-02-23
DOI :https://doi.org/10.11109/JAES.2021.23.1.021

Journal of Animal Environmental Science ISSN:1226-0274(Print) 축산시설환경학회지

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