Using multivariate analysis to predict the behaviour of soils under effluent irrigation

Dawes, Les and Goonetilleke, Ashantha (2006) Using multivariate analysis to predict the behaviour of soils under effluent irrigation. Water Air and Soil Pollution, 172 1-4: 109-127. doi:10.1007/s11270-005-9064-z

Author Dawes, Les
Goonetilleke, Ashantha
Title Using multivariate analysis to predict the behaviour of soils under effluent irrigation
Journal name Water Air and Soil Pollution   Check publisher's open access policy
ISSN 0049-6979
Publication date 2006-05
Sub-type Article (original research)
DOI 10.1007/s11270-005-9064-z
Volume 172
Issue 1-4
Start page 109
End page 127
Total pages 19
Place of publication Dordrecht
Publisher Springer
Collection year 2006
Language eng
Subject CX
Abstract Onsite wastewater treatment systems aim to assimilate domestic effluent into the environment. Unfortunately failure of such systems is common and inadequate effluent treatment can have serious environmental implications. The capacity of a particular soil to treat wastewater will change over time. The physical properties influence the rate of effluent movement through the soil and its chemical properties dictate the ability to renovate effluent. A research project was undertaken to determine the role that physical and chemical soil properties play in predicting the long-term behaviour of soil under effluent irrigation and to determine if they have a potential function as early indicators of adverse effects of effluent irrigation on treatment sustainability. Principal Component Analysis (PCA) and Cluster Analysis grouped the soils independently of their soil classifications and allowed us to distinguish the most suitable soils for sustainable long term effluent irrigation and determine the most influential soil parameters to characterise them. Multivariate analysis allowed a clear distinction between soils based on the cation exchange capacities. This in turn correlated well with the soil mineralogy. Mixed mineralogy soils in particular sodium or magnesium dominant soils are the most susceptible to dispersion under effluent irrigation. The soil Exchangeable Sodium Percentage (ESP) was identified as a crucial parameter and was highly correlated with percentage clay, electrical conductivity, exchangeable sodium, exchangeable magnesium and low Ca:Mg ratios (less than 0.5).
Keyword effluent irrigation
soil properties
principal component analysis
Q-Index Code CX

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Agriculture and Food Sciences
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
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Created: Wed, 15 Aug 2007, 09:27:33 EST