Performance Evaluation of Pilot-scale Hybrid Anaerobic Baffled Reactor (HABR) to Process Dyeing Wastewater Based on Grey Relational Analysis

Abstract

A pilot-scale six-compartment hybrid anaerobic baffled reactor (HABR) with effective volume of 18 m3 was used to treat dyeing wastewater. The HABR system was able to treat the wastewater efficiently after FeSO4 pretreatment, as indicated by removal efficiencies of 33.7% for chemical oxygen demand (COD), 39.9% for suspended solid (SS), and 22.5% for sulfate (SO42−) during steadily operational period. Gas chromatography–mass spectrometry (GC-MS) showed that the concentrations of alkanes, amides, organic acids, ketones, phenols, and esters were much lower in the effluent than those in the influent; many high-molecular-weight compounds such as cyclanes, quinolines, and phenols were successfully transformed to low-molecular-weight ones. As illustrated from the results of generalized grey relational analysis (GGRA), COD removal efficiency was more closely associated with flow rate, organic loading rate (OLR), water temperature, and influent SS among the whole selected possible factors. Based on the overall treating effectiveness and the GGRA study, the optimized operation strategy of the dyeing wastewater treatment by HABR was obtained as the hydraulic retention time (HRT) of 12 h for steady-state operation with an up-flow velocity of 1.7 m/h as well as OLR of 1.5–2.0 kg COD/(m3·d).

Innovative Approaches for Drinking- and Waste-Water Treatment: An Editorial Review Summarizing and Assessing the Findings of the Special Issue

“…The field of wastewater treatment is covered by four articles in this special issue. The first article, [10] reported the development of a pilot-scale six-compartment hybrid anaerobic baffled reactor (HABR) with effective volume of 18 m 3 for the treatment of dyeing wastewater. The HABR system treated effectively the wastewater after pretreatment with FeSO4.…”

“…(a) First, there are those that investigate the application of membrane treatment processes, either directly [1] (b) second, there are studies that investigate the application of adsorptive processes for the removal of contaminants from waters, such as arsenic, lead, nickel or chromate [2][3][4][5][6], but also assessed the health effects of their exposure to humans [7]. (c) third, there are studies that include novel aspects of oxidative treatment [8,9] and (d) fourth, studies that examine wastewater treatment efficiency, testing new type reactors [10], minimizing the sewage sludge [11] or energy minimization and conversion and in wastewater treatment facilities [12,13].…”

Experimental study on anaerobic co-digestion of the individual component of biomass with sewage sludge: methane production and microbial community

“…Gray relational analysis (GRA) [19] was introduced to evaluate the relationship between cumulative methane yield and major factors of acetoclastic methanogens (including R Methanosarcina , R Methanosaeta , R Methanosarcina + R Methanosaeta , [20]: Set the reference sequence as X 0 = (x 0 (1), x 0 (2), ⋯x 0 (n)), and the comparison sequence as X i = (x i (1), x i (2), ⋯x i (n)), i = 1, 2, ⋯m. Let X 0 and X i divided by their initial value, we obtain X 0 0…”

Pilot-Scale Anaerobic Treatment of Printing and Dyeing Wastewater and Performance Prediction Based on Support Vector Regression

“…In this study, Matlab R2018a software (MathWorks Inc., USA) was used to compile and configure the downloaded and decompressed LibSVM library [25]. According to the grey correlation analysis results of Qi et al [21], the COD removal rate was closely related to the flow rate, OLR, water temperature and influent SS. To establish the regression model in this study, the COD removal rate was taken as the response, and flow rate, OLR, water temperature and influent SS as the feature variables.…”

“…The new element of this work includes the application of different support vector regression algorithms with different kernel functions in relating the reactor performance with its influencing factors. Referring to the analytical result of Qi et al [21], the related factors including flow rate, organic loading rate (OLR), water temperature and influent suspended solids (SS) were taken as feature variables to estimate the COD removal rate. The results obtained may provide scientific evidence for the design and operation of the anaerobic technology for refractory industrial wastewater treatment.…”