Physical-chemical characterization and determination of aerobic kinetic coefficients for the removal of organic matter from agro-industrial wastewater
收藏DataCite Commons2021-03-25 更新2024-07-28 收录
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https://scielo.figshare.com/articles/dataset/Physical-chemical_characterization_and_determination_of_aerobic_kinetic_coefficients_for_the_removal_of_organic_matter_from_agro-industrial_wastewater/14283669/1
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ABSTRACT The aim of the present work was to perform a physicochemical characterization of different agroindustrial wastewaters (AIW), to apply first and second order kinetic models to verify which one best describes the progression of the biochemical oxygen demand (BOD) and to determine the aerobic kinetics coefficients of organic matter removal from AIW. The BOD progression assay was performed from the incubation of AIW in a respirometric system (Oxitop®). The first and second order kinetic models were evaluated by mean square error (RMSE), normalized mean square error (NRMSE), and Akaike Information Criterion (AIC). The aerobic biodegradation kinetics of the AIW evaluated was better fitted to the first order model in terms of total and soluble BOD. In the total BOD progression, the highest coefficient of first-order deoxygenation (k ') was that of slaughterhouse wastewater (SW; 0.56 d-1) and the lowest was that of swine wastewater (SSW; 0.16 d-1). The deoxygenation coefficients determined in the present work were representative, and can be used for the simulation of degradation processes of organic matter under aerobic conditions.
摘要 本研究旨在对不同农业工业废水(agroindustrial wastewaters, AIW)开展理化特性表征,采用一级与二级动力学模型验证其对生化需氧量(biochemical oxygen demand, BOD)变化过程的拟合效果,并测定农业工业废水中有机物好氧去除的动力学系数。本研究通过呼吸测定系统(Oxitop®)对农业工业废水进行孵育,以此开展生化需氧量变化测试。采用均方根误差(root mean square error, RMSE)、归一化均方根误差(normalized mean square error, NRMSE)与赤池信息准则(Akaike Information Criterion, AIC)对一级与二级动力学模型的拟合效果进行评估。针对所评估的农业工业废水,其好氧生物降解动力学在总生化需氧量与溶解性生化需氧量维度下,更符合一级动力学模型。在总生化需氧量变化过程中,一级脱氧动力学系数(k')最高的为屠宰废水(slaughterhouse wastewater, SW;0.56 d⁻¹),最低的为养猪废水(swine wastewater, SSW;0.16 d⁻¹)。本研究测定的脱氧动力学系数具有代表性,可用于好氧条件下有机物降解过程的模拟。
提供机构:
SciELO journals
创建时间:
2021-03-24



