Department of Civil Engineering, Guru-Nanak Dev Engineering College, Bidar, 585403, Karnataka, India.
Department of Civil Engineering, Universiti Teknologi Brunei, Jalan Tungku Link, Gadong, BE1410, Brunei Darussalam.
Environ Res. 2023 Aug 15;231(Pt 2):116191. doi: 10.1016/j.envres.2023.116191. Epub 2023 May 20.
Polycyclic aromatic hydrocharbons (PAHs) are a class of highly toxic pollutants that are highly detrimental to the ecosystem. Landfill leechate emanated from municipal solid waste are reported to constitute significant PAHs. In the present investigation, three Fenton proceses, namely conventional Fenton, photo-fenton and electro-fenton methods have been employed to treat landfill leehcate for removing PAHs from a waste dumpig yard. Response surface methodology (RSM) and artificial neural network (ANN) methodologies were adopted to optimize and validate the conditions for optimum oxidative removal of COD and PAHs. The statistical analysis results showed that all independent variables chosen in the study are reported to have significant influence of the removal effects with P-values <0.05. Sensitivity analysis by the developed ANN model showed that the pH had the highest significance of 1.89 in PAH removal when compared to the other parameters. However for COD removal, HO had the highest relative importance of 1.15, followed by Fe and pH. Under optimal treatment conditions, the photo-fenton and electro-fenton processes showed better removal of COD and PAH compared to the Fenton process. The photo-fenton and electro-fenton treatment processes removed 85.32% and 74.64% of COD and 93.25% and 81.65% of PAHs, respectively. Also the investigations revelaed the presence of 16 distinct PAH compunds and the removal percentage of each of these PAHs are also reported. The PAH treatment research studies are generally limited to the assay of removal of PAH and COD levels. In the present investigation, in addition to the treatment of landfill leachate, particle size distribution analysis and elemental characterization of the resultant iron sludge by FESEM and EDX are reported. It was revealed that elemental oxygen is present in highest percentage, followed by iron, sulphur, sodium, chlorine, carbon and potassium. However, iron percentage can be reduced by treating the Fenton-treated sample with NaOH.
多环芳烃（PAHs）是一类具有高度毒性的污染物，对生态系统有很大的危害。据报道，来自城市固体废物的垃圾渗滤液构成了重要的 PAHs 来源。在本研究中，采用了三种芬顿工艺，即常规芬顿、光芬顿和电芬顿，来处理垃圾渗滤液，以去除垃圾填埋场中的 PAHs。采用响应面法（RSM）和人工神经网络（ANN）方法对最佳氧化去除 COD 和 PAHs 的条件进行优化和验证。统计分析结果表明，研究中选择的所有独立变量都对去除效果有显著影响，P 值均小于 0.05。通过开发的 ANN 模型进行的敏感性分析表明，在 PAH 去除方面，pH 的重要性最高，为 1.89，而其他参数则次之。然而，对于 COD 的去除，HO 的相对重要性最高，为 1.15，其次是 Fe 和 pH。在最佳处理条件下，光芬顿和电芬顿工艺对 COD 和 PAH 的去除效果优于芬顿工艺。光芬顿和电芬顿处理工艺分别去除了 85.32%和 74.64%的 COD 和 93.25%和 81.65%的 PAHs。此外，研究还揭示了存在 16 种不同的 PAH 化合物，以及每种 PAH 的去除百分比。PAH 处理研究通常仅限于 PAH 和 COD 水平的去除测定。在本研究中，除了处理垃圾渗滤液外，还通过 FESEM 和 EDX 对铁泥的粒径分布分析和元素特性进行了研究。结果表明，铁泥中以氧的含量最高，其次是铁、硫、钠、氯、碳和钾。然而，通过用 NaOH 处理芬顿处理后的样品，可以降低铁的含量。
