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Using factor analysis to distinguish between effective and ineffective aggregate stability indices

Several existing aggregate stability indices are commonly used to represent aggregate stability of soil. Consequently, there is a need to determine how well these common indices characterize or represent aggregate stability. The main objective of this study was to use a multivariate statistical meth...

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Main Author: Teh, Christopher Boon Sung
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2012
Online Access:http://psasir.upm.edu.my/id/eprint/9895/1/60.%20Using%20factor%20analysis%20to%20distinguish%20between%20effective%20and%20ineffective%20aggregate%20stability%20indices.pdf
http://psasir.upm.edu.my/id/eprint/9895/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JTAS%20Vol.%2035%20(3)%20Aug.%202012/09%20pg%20521-536.pdf
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spelling my.upm.eprints.98952015-11-23T06:19:57Z http://psasir.upm.edu.my/id/eprint/9895/ Using factor analysis to distinguish between effective and ineffective aggregate stability indices Teh, Christopher Boon Sung Several existing aggregate stability indices are commonly used to represent aggregate stability of soil. Consequently, there is a need to determine how well these common indices characterize or represent aggregate stability. The main objective of this study was to use a multivariate statistical method called factor analysis to determine the effectiveness of eight common indices in measuring aggregate stability. Eighty soil samples (Oxisols and Ultisols) were taken from soil depth of 0-150 mm and from different land uses, such as oil palm, coffee, tea, rubber, pine, fallow, vegetables, and grassland. Aggregate stability of these soils were determined by wet-sieving and water dispersion of the primary particles. Eight aggregate stability indices were used: AIA (average fraction of intact aggregates), WSA >0.3 and >0.5 (water-stable aggregates larger than size 0.3 and 0.5 mm, respectively), MWD (mean weight diameter), CR (clay ratio), WDC (water-dispersible clay), WDCS (water-dispersible clay plus silt), and TP (turbidity percentage). The factor analysis showed that all the aggregate stability indices were related to two common factors, namely, aggregate breakdown resistance and dispersion. By determining how well an aggregate stability index is correlated to either one or both these common factors, the factor analysis ranked the effectiveness of the indices as follows: WSA >0.3 = WDCS > AIA > MWD > WDC > CR. Due to the fact that WSA >0.5 is correlated very strongly with WSA >0.3, both the indices ought to be as effective as the other. The TP index, however, had a questionable efficacy as an aggregate stability index. Based on the findings of this study, it was therefore concluded that only two indices, WSA >0.3 (or WSA >0.5) and WDCS, were sufficient to represent the whole soil aggregate stability. Universiti Putra Malaysia Press 2012 Article NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/9895/1/60.%20Using%20factor%20analysis%20to%20distinguish%20between%20effective%20and%20ineffective%20aggregate%20stability%20indices.pdf Teh, Christopher Boon Sung (2012) Using factor analysis to distinguish between effective and ineffective aggregate stability indices. Pertanika Journal of Tropical Agricultural Science, 35 (3). pp. 521-536. ISSN 1511-3701; ESSN: 2231-8542 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JTAS%20Vol.%2035%20(3)%20Aug.%202012/09%20pg%20521-536.pdf
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Several existing aggregate stability indices are commonly used to represent aggregate stability of soil. Consequently, there is a need to determine how well these common indices characterize or represent aggregate stability. The main objective of this study was to use a multivariate statistical method called factor analysis to determine the effectiveness of eight common indices in measuring aggregate stability. Eighty soil samples (Oxisols and Ultisols) were taken from soil depth of 0-150 mm and from different land uses, such as oil palm, coffee, tea, rubber, pine, fallow, vegetables, and grassland. Aggregate stability of these soils were determined by wet-sieving and water dispersion of the primary particles. Eight aggregate stability indices were used: AIA (average fraction of intact aggregates), WSA >0.3 and >0.5 (water-stable aggregates larger than size 0.3 and 0.5 mm, respectively), MWD (mean weight diameter), CR (clay ratio), WDC (water-dispersible clay), WDCS (water-dispersible clay plus silt), and TP (turbidity percentage). The factor analysis showed that all the aggregate stability indices were related to two common factors, namely, aggregate breakdown resistance and dispersion. By determining how well an aggregate stability index is correlated to either one or both these common factors, the factor analysis ranked the effectiveness of the indices as follows: WSA >0.3 = WDCS > AIA > MWD > WDC > CR. Due to the fact that WSA >0.5 is correlated very strongly with WSA >0.3, both the indices ought to be as effective as the other. The TP index, however, had a questionable efficacy as an aggregate stability index. Based on the findings of this study, it was therefore concluded that only two indices, WSA >0.3 (or WSA >0.5) and WDCS, were sufficient to represent the whole soil aggregate stability.
format Article
author Teh, Christopher Boon Sung
spellingShingle Teh, Christopher Boon Sung
Using factor analysis to distinguish between effective and ineffective aggregate stability indices
author_facet Teh, Christopher Boon Sung
author_sort Teh, Christopher Boon Sung
title Using factor analysis to distinguish between effective and ineffective aggregate stability indices
title_short Using factor analysis to distinguish between effective and ineffective aggregate stability indices
title_full Using factor analysis to distinguish between effective and ineffective aggregate stability indices
title_fullStr Using factor analysis to distinguish between effective and ineffective aggregate stability indices
title_full_unstemmed Using factor analysis to distinguish between effective and ineffective aggregate stability indices
title_sort using factor analysis to distinguish between effective and ineffective aggregate stability indices
publisher Universiti Putra Malaysia Press
publishDate 2012
url http://psasir.upm.edu.my/id/eprint/9895/1/60.%20Using%20factor%20analysis%20to%20distinguish%20between%20effective%20and%20ineffective%20aggregate%20stability%20indices.pdf
http://psasir.upm.edu.my/id/eprint/9895/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JTAS%20Vol.%2035%20(3)%20Aug.%202012/09%20pg%20521-536.pdf
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score 13.211869

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