Predicting removal kinetics of biochemical oxygen demand (BOD) and nutrients in a pilot scale fed-batch algal wastewater treatment system

被引:15
作者
Abeysiriwardana-Arachchige, Isuru S. A. [1 ]
Nirmalakhandan, Nagamany [1 ]
机构
[1] New Mexico State Univ, Civil Engn Dept, Las Cruces, NM 88003 USA
来源
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS | 2019年 / 43卷
基金
美国国家科学基金会;
关键词
Process modeling; Nutrient removal kinetics; BOD removal kinetics; Mixotrophic wastewater treatment; Predicting process time; MICROALGAE; PHOSPHORUS; BACTERIA; NITROGEN; CARBON; MODEL;
D O I
10.1016/j.algal.2019.101643
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Our previous reports have presented single-step treatment of primary-settled urban wastewater by a mixotrophic alga, Galdieria sulphuraria. Here, we present an approach to predict the operational cycle time, t*, required to meet the discharge standards for ammoniacal-nitrogen (NH3-N), phosphate (PO4) and biochemical oxygen demand (BOD) in fed-batch mode, under varying influent concentrations. First order removal rates of NH3-N, PO4 and BOD, determined using data from 10 fed-batch cycles in a pilot scale system (700 L), were used to predict their temporal fate and t* in 30 other cycles. Predicted concentrations of NH3-N, PO4, and BOD and t* over a wide range of influent concentrations agreed well with the measured ones, with root mean square errors, respectively, of 2.06 mg/L, 0.23 mg/L, 2.88 mg/L and 0.30 days. The coefficient of determination between the measured and the predicted values were as follows: for NH3-N: r(2) = 0.82, n = 90; for PO4: r(2) = 0.87, n = 90; for BOD: r(2) = 0.70, n = 30; and for t*: r(2) = 0.61, n = 30. The validity of the model in predicting temporal concentration profiles of NH3-N, PO4 and BOD reflected by Janus quotient (respectively of 0.85, 0.87 and 0.61) is comparable to or better than those reported in the literature. Sensitivity analysis procedures identified the influent concentration of PO4 as the most sensitive parameter in predicting t*.
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页数:8
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