Abstract

This work aimed at offering an effective and environmentally friendly approach to the real wastewater of an industrial agrochemicals production plant containing high amounts of many hazardous compounds that threaten human health. The removal of total organic carbon (TOC) (59.45%) and colour (97.92%) of the wastewater was achieved using subcritical water oxidation method. The fate of the detected compounds was followed by GC–MS analysis. Several pollutants such as phenol, fumaric acid, chlorpyrifos, penconazole, brassilexin, buprofezin, etoxazole, pyriproxyfen and 2-naphthalene-sulphonic acid which are bio-refractory and harmful to human health, were effectively degraded. Inorganic ions exist in the wastewater or formed through the process and their possible effects on the applied method were analysed. The central composite design was used to optimise the method and fully evaluate the single or combined effects of the method parameters on the removal rates. The precision of the applied design models was evaluated employing ANOVA, Regression coefficients and validation analysis. F and P and R² values were obtained as 107.43, <0.0001, and 0.9898, respectively in the TOC removal model and 39.45, <0.0001, and 0.9726 in the colour removal model.

摘要

这项工作旨在为工业农药生产工厂的实际废水提供一种有效且环保的方法，该工厂含有大量威胁人类健康的多种有害化合物。采用亚临界水氧化法去除了废水中总有机碳（TOC）（59.45％）和颜色（97.92％）。检测到的化合物的命运之后，进行GC-MS分析。有效降解了一些难降解的有害物质，如苯酚，富马酸，毒死rif，戊康唑，黄铜胆素，丁苯丙哌嗪，乙恶唑，吡ip氧基和2-萘磺酸。废水中存在或通过过程形成的无机离子，分析了其对应用方法的可能影响。中心复合设计用于优化方法，并全面评估方法参数对去除率的单一或组合影响。应用方差分析，回归系数和验证分析来评估应用设计模型的精度。F和P和R ²值在TOC去除模型中分别为107.43，<0.0001和0.9898，在颜色去除模型中分别为39.45，<0.0001和0.9726。