Clustering the Adsorbents of Horizontal Series Filtration in Greywater Treatment

Mehdi Bahrami, Mohammad Javad Amiri and Mohammad Reza Mahmoudi
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Mehdi Bahrami: Department of Water Engineering, Faculty of Agriculture, Fasa University, Fasa 74616-86131, Iran
Mohammad Javad Amiri: Department of Water Engineering, Faculty of Agriculture, Fasa University, Fasa 74616-86131, Iran
Mohammad Reza Mahmoudi: Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam

Sustainability, 2020, vol. 12, issue 8, 1-14

Abstract: One of the important alternative water resources for non-potable purposes is greywater (GW), which must be cleaned of contaminants. In this regard, the clustering analysis of materials consisting of sand (S), zeolite (Z), peat (P) and granular activated carbon (GAC) within a horizontal series filter (HSF) was used for removal of chemical oxygen demand (COD), biochemical oxygen demand (BOD), total dissolved solids (TDS), and turbidity in GW taken from the Fasa University Student Hostel, Iran. The hierarchical clustering technique was applied to classify the adsorbents. The findings indicated that there were significant differences (more than 95%) between these materials. According to the similarity of level 95%, for COD, BOD, TDS, and turbidity removal, these adsorbents could be separately clustered in three, three, two, and three clusters, respectively. In addition, by considering the simultaneous changes of COD, BOD, TDS, and turbidity together, these adsorbents could be clustered in three different clusters. This paper proposed an efficient method to select the best combination of adsorbents for eliminating of COD, BOD, TDS, and turbidity from GW. Generally, based on the quality of treated greywater and literature, reusing greywater can be implemented for agriculture, artificial recharge of aquifers, desertification, and preventing the dust creation in arid areas such as southern Iran.

Keywords: cluster analysis; granular activated carbon; greywater; peat; zeolite (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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