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Improvement of wastewater sludge dewatering using ferric chloride, aluminum sulfate, and calcium oxide (experimental investigation and descriptive statistical analysis)
Author(s) -
Ranjbar Flora,
Karrabi Mohsen,
Danesh Shahnaz,
Gheibi Mohammad
Publication year - 2021
Publication title -
water environment research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 73
eISSN - 1554-7531
pISSN - 1061-4303
DOI - 10.1002/wer.1526
Subject(s) - ferric , sulfate , calcium oxide , chemistry , flocculation , chloride , filtration (mathematics) , dewatering , wastewater , sewage sludge , coagulation , calcium , inorganic chemistry , pulp and paper industry , sewage treatment , environmental engineering , environmental science , organic chemistry , psychology , statistics , mathematics , geotechnical engineering , psychiatry , engineering
Abstract In this research, application of chemical conditioners for the conditioning of sludge and their effects on the improvement of sludge thickening of the wastewater treatment plant in the city of Bojnourd (Iran) is investigated. The concentration of chemical conditioners, pH and coagulation and flocculation time is from among the parameters studied in this research work. The results obtained indicate that sludge volume reduction for the chemical conditioners used, including Ferric Chloride (FeCl 3 ), Aluminum Sulfate (Al 2 (SO 4 ) 3 ), and Calcium Oxide (CaO) are 41, 17, and 33 percent, respectively. The optimal concentration for FeCl 3 , Al 2 (SO 4 ) 3, and CaO are 550, 1100, and 292 mg/L, respectively, and the optimal values of pH are 9, 7.5, and 10, respectively. The time to filtration (TTF) and reduction in sludge moisture content (SMC) for Ferric Chloride, Aluminum Sulfate, and Calcium Oxide are 45 s and 6.2%, 135 s and 3.3%, 190 s and 2.4% respectively. Practitioner points Investigating the sludge conditioning by Ferric Chloride, Aluminum Sulfate, and Calcium Oxide. Determining the optimal concentration, pH, and coagulation/flocculation time. Calculating the time to filtration (TTF) and reduction in sludge moisture content (SMC). Predicting the settled sludge volume using descriptive statistical analysis.