Carbonaceous organics removal kinetics in an upflow anaerobic sludge blanket (UASB) reactor treating physico-chemically pre-treated textile wastewater

Abstract

In the present study, physico-chemically pre-treated textile wastewater with a residual chemical oxygen demand (COD) of 780 ± 10 mg L −1 was treated using a lab-scale upflow anaerobic sludge blanket (UASB) reactor at variable HRTs of 30.8 to 8 h, and organic loading rates (OLRs) of 0.62-2.4 kg COD m −3 d −1 . Using a new composite coagulant at dosage of 800 mg L −1 for pre-treatment, more than 99% of colour was removed from the feeding influent to UASB reactor. The optimum OLR was found as 0.95 kg COD m −3 d −1 at which maximum COD reduction (98%) was achieved. Modified Stover-Kincannon, Grau second-order, Monod, Haldane and Contois models were applied to evaluate the carbonaceous substrate removal kinetics inside the UASB reactor. The experimental results of this analysis revealed that modified Stover-Kincannon and Grau second-order kinetics were suitable for predicting the performance and to estimate the kinetic coefficients of UASB reactor.

Modeling the kinetics and cost performance index of high rate up‐flow anaerobic, anoxic, oxic bioreactor for meat wastewater treatment

“…Furthermore, the obtained value of K i was lower than those expressed by the previous studies (Bhunia & Ghangrekar ; Verma et al . ) which proved the minor inhibition effect of substrate concentration on the growth rate of biomass.…”

“…The biomass yield was much greater than those reported in the literature (Verma et al . ; Ahmadi et al . ).…”

“…In fact, the Haldane model shows the growth kinetics according to substrate degradation (Verma et al . ).…”

“…Besides, the substrate inhibitory coefficient is estimated using second-order polynomial regression method. In fact, the Haldane model shows the growth kinetics according to substrate degradation (Verma et al 2014).…”

Effects of physico‐chemical pre‐treatment on the performance of an upflow anaerobic sludge blanket (UASB) reactor treating textile wastewater: application of full factorial central composite design

“…[25][26][27] This comparison is executed by F-value, which is the ratio of the means square of the model to the residual error. [4] However, the model was effectively used for the prediction of colour removal efficiency of untreated textile wastewater by the UASB reactor. The obtained F-value, 63.45, is much greater than the tabulated F value (2.352) at the 95 % confidence interval, indicating the significance and adequacy of second-order polynomial response.…”