Abstract Municipal solid waste (MSW) leachate, mostly comprised of organic and inorganic substances originated from discarded organic matters, chemicals, and liquors at MSW dumpsite. Pollutant composition and toxic compounds of leachate necessitate the effective treatment before its disposal. In the current study, advanced oxidation processes; ozonation, peroxone process and photolytic ozonation were employed for the treatment of complex MSW leachate. Central Composite Design (CCD) of Response Surface Methodology (RSM) was applied to optimize the various operating parameters in the treatment system. The optimized condition of pH: 9.0; contact time: 60 min and Ozone dose: 5 g/h for a litre of leachate provided the maximum COD and NH3–N reduction of 72 % and 80 % respectively for photolytic ozonation (under 15 W–UVC; λ:254 nm) whereas under the same operating conditions, ozonation process provided 45 % of COD removal and 50 % of NH3-N removal. Peroxone process with H2O2 concentration of 800 mg/L, showed the maximum COD and NH3-N removal efficiencies of 61 % and 59.7 % respectively. The developed models have confirmed the interaction between the selected parameters; have good agreement with each other; have the best fit. The present approach provided the knowledge to adopt an efficient way of treatment to the complex MSW leachate to proceed further for pilot-scale treatment.

中文翻译：

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城市生活垃圾渗滤液联合深度氧化工艺优化的可行性研究

摘要 城市固体废物 (MSW) 渗滤液，主要由来自 MSW 垃圾场丢弃的有机物、化学品和液体的有机和无机物质组成。渗滤液的污染物成分和有毒化合物需要在处理前进行有效处理。在目前的研究中，高级氧化工艺；采用臭氧、过氧酮法和光解臭氧法处理复杂的生活垃圾渗滤液。应用响应面方法学 (RSM) 的中央复合设计 (CCD) 来优化处理系统中的各种操作参数。pH优化条件：9.0；接触时间：60 分钟，臭氧剂量：5 克/小时，对于一升渗滤液，光解臭氧化的 COD 和 NH3-N 减少分别为 72% 和 80%（在 15 W-UVC 下；λ：254 nm) 而在相同的操作条件下，臭氧化过程提供了 45% 的 COD 去除率和 50% 的 NH3-N 去除率。过氧酮工艺的 H2O2 浓度为 800 mg/L，显示出最大的 COD 和 NH3-N 去除效率分别为 61% 和 59.7%。开发的模型已经确认了所选参数之间的相互作用；彼此之间有很好的默契；有最好的配合。本方法提供了对复杂的 MSW 渗滤液采用有效处理方法以进一步进行中试规模处理的知识。开发的模型已经确认了所选参数之间的相互作用；彼此之间有很好的默契；有最好的配合。本方法提供了对复杂 MSW 渗滤液采用有效处理方法以进一步进行中试规模处理的知识。开发的模型已经确认了所选参数之间的相互作用；彼此之间有很好的默契；有最好的配合。本方法提供了对复杂 MSW 渗滤液采用有效处理方法以进一步进行中试规模处理的知识。