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035 _a.b10065891
099 9 _aAIT Thesis no. EV-80-5
100 1 _aPalenewen, Junus Laurens
245 1 0 _aAlgal recovery by auto-flocculation
260 _aBangkok :
_bAsian Institute of Technology,
_c1980
300 _av, 74 p.
490 1 _aThesis ;
_vno. EV-80-5
500 _aA thesis submitted in partial fulfillment of the requirement for the degree of Master of Engineering, School of Environment, Resources and Development
502 _aThesis (M.Eng.) - Asian Institute of Technology, 1980
520 _aHigh-rate oxidation pond has high efficiency of BOD removal and algal production of high protein content. Auto-flocculation is used successfully and is the most economical process for algal harvesting. The objective of this study is to recover maximum algal yield by auto flocculation at various growth conditions and to study the effects of these conditions on algal auto-flocculation. AIT sewage was used for feeding the pond, and mixing were carried out by manual brooming twice a day, once a day and without mixing. Sampling of algae-laden water was done through upper and lower tap located at 5 cm and 30 cm under water surface. The algae-laden water is siphoned into the settling pond through these taps, after it is mixed twice a day, once a day and without mixing. The settling pond water is adjusted to pH 8, pH 9, pH 10 and pH 11. Auto-flocculation is used for algal harvesting. Economic considerations of drying techniques costs are presented. Algal production and protein content are calculated. It was found that highest algal concentration was at 30 cm depth at 1 pm to 2 pm and by mixing the pond water once a day at 9 am. Detention time for algal auto-flocculation was 7 hours and pH more than 10 was not suitable for algal auto-flocculation.
650 0 _aSewage
_xPurification
_xFlocculation
700 1 _aNguyen, Cong Thanh,
_eChairperson
700 0 _aChongrak Polprasert,
_eCo-Chairperson
700 0 _aSamorn Muttamara,
_eExamination Committee
710 2 _aGerman Academic Exchange Service (Deutscher Akademischer Austauschdienst),
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. EV-80-5
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B21947
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