2021
DOI: 10.9734/cjast/2021/v40i431293
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Assessment of the Quality of Liquid Digestate from Small-scale Anaerobic Biodigesters Used for Crop Irrigation in Urban and Peri-urban Maseru, Lesotho

Abstract: Objective: The aim of the study was to determine the quality of Liquid Digestate (LD) from selected small scale anaerobic digesters for biogas production and assess the suitability for crop irrigation. Methodology: The selection of the parameters was guided by national standards and international guidelines for the agricultural use of wastewater and wastewater treatment products. The analysis was carried out using standard methods. Results: The results showed that most of the parameters determined … Show more

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“…Multivariate statistics such as principal component analysis (PCA) have been used to demonstrate some of the variation in different samples. PCA has been adopted in a variety of scienti c studies for simplifying a large volume of datasets containing several variables, e.g., the physicochemical characterization of surface water (Tanor et al 2014), wastewater sludge (Tanor et al 2016), different animal manures (Nnamdi et al 2017) and rainwater (Wu et al 2017a, Wu et al 2017b. PCA identi es groups and sets of variables with similar properties and allows us to make our description of observations straightforward by discovering the trends or patterns in chaotic or confusing datasets.…”
Section: Water Quality Testingmentioning
confidence: 99%
“…Multivariate statistics such as principal component analysis (PCA) have been used to demonstrate some of the variation in different samples. PCA has been adopted in a variety of scienti c studies for simplifying a large volume of datasets containing several variables, e.g., the physicochemical characterization of surface water (Tanor et al 2014), wastewater sludge (Tanor et al 2016), different animal manures (Nnamdi et al 2017) and rainwater (Wu et al 2017a, Wu et al 2017b. PCA identi es groups and sets of variables with similar properties and allows us to make our description of observations straightforward by discovering the trends or patterns in chaotic or confusing datasets.…”
Section: Water Quality Testingmentioning
confidence: 99%