采用先进的混合技术光声催化处理禽业废水的创新解决方案

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摘要

家禽屠宰场废水(PSWW)是一个至关重要的问题,从根本上说,由于高COD和油脂(O&G)水平,家禽屠宰场废水(PSWW)广泛产生和相关的大量顽固有机含量。混合高级氧化工艺是处理各种工业废水的有前途的、绿色的和创新的选择;迄今为止,这一潜力尚未应用于家禽业的高强度废水。本研究旨在探讨超声与光催化联合工艺在催化剂类型(TiO2和ZnO)、辐照类型(UVA365和UVC254)、催化剂投加量(0.5-2.5 g/L)、pH(2-10)、过氧化氢浓度(0-10 mM)、操作时间(30-180 min)等不同操作条件下处理家禽屠宰厂废水中COD和O&G的去除率。充分利用田口的L36正交阵列实验设计对工艺进行优化。结果表明,在UVC254下,ZnO浓度为2.5 g/L, pH为2,操作时间为180 min,可达到最大COD去除率;在UVC254下,ZnO浓度为1.5 g/L, pH为6,H2O2浓度为5 mmol/L,操作时间为30 min,可达到最大油脂去除率。在此条件下,COD去除率和油气去除率分别达到54%和99%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AN INNOVATIVE SOLUTION FOR THE TREATMENT OF POULTRY INDUSTRY WASTEWATER WITH ADVANCED HYBRID TECHNOLOGY SONO-PHOTOCATALYSIS
Poultry slaughterhouse wastewater (PSWW) is a crucial concern fundamentally due to extensive generation and related substantial amounts of recalcitrant organic content due to high COD and oil and grease (O&G) levels. Hybrid advanced oxidation processes are promising, green, and innovative options to treat various industrial wastewater; to date, this potential has not been implemented to high-strength wastewater from the poultry industry. This work aims to investigate the combination of ultrasound and photocatalysis processes in the treatment of poultry slaughterhouse wastewater for the removal of COD and O&G under different operating conditions such as catalyst type (TiO2 and ZnO), irradiation type (UVA365 and UVC254), catalyst dosage (0.5-2.5 g/L), pH (2–10), hydrogen peroxide concentration (0-10 mM) and operation time (30-180 min). Taguchi’s experimental design based on the L36 orthogonal array was adequately applied to optimize the process. The finding results presented that ZnO concentration of 2.5 g/L, pH 2, and operation time of 180 min under UVC254 were optimum parameters to achieve maximum COD removal while, ZnO concentration of 1.5 g/L, pH 6, H2O2 concentration of 5 mmol/L and operation time of 30 min under UVC254 were optimum parameters to achieve maximum oil and grease removal. With these optimum conditions, the best attained COD and O&G removal yields were 54% and 99%, respectively.
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