吸附和生物降解联合去除苯酚和氯酚的模拟:回归分析和数据挖掘方法

IF 2.1 Q3 ENGINEERING, ENVIRONMENTAL
P. Pandian, Malarvili Thekkumalai, Ashutosh Das, M. Goel, A. Asthana, Venkata Ramanaiah
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引用次数: 0

摘要

当前位置众所周知,苯酚和氯酚是两种毒性最强的化学物质,要解决这一工业化祸害,必须采取综合处理办法。采用22种低成本吸附剂进行吸附具有优势和经济性;然而,这并不是一项可行的技术。生物处理更加灵活、有用和环保,生物处理和吸附相结合比单独使用它们产生了更好的结果。然而,很少有作品应用统计方法来阐明在这样一个综合研究中各种选择的重要性。这项工作着重于温度、化学物质的初始浓度和吸附剂用量对这些化学物质去除的影响。此外,它还比较了各种处理方法,即生物处理(bio),顺序生物和吸附(seq)以及同时生物和吸附(sim)方法处理酚类和氯酚类。开发了一系列线性回归模型来预测所使用的每个过程的百分比减少
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of Phenol and Chlorophenol Removal Using Combined Adsorption and Biodegradation: Regression Analysis and Data-Mining Approach
: 20 It is widely known that phenols and chlorophenols (CP) are two of the most toxic chemicals 21 and a versatile treatment is imperative to tackle this evil of industrialization. Adsorption using 22 low-cost adsorbents is advantageous and economical; however, it has not turned out to be 23 feasible technology. Biological treatment is much more flexible, useful, and environmentally 24 friendly and a combination of biological treatment and adsorption has yielded much better 25 results compared to using them individually. However, very few works are applying statistical 26 methods in elucidating the importance of various options in such a combined study. This work 27 focused on the effect of temperature, initial concentration of chemicals and adsorbent dosage 28 on the removal of these chemicals. Furthermore, it compares various processes, viz., biological 29 treatment (bio), sequential biological and adsorption (seq), and simultaneous biological and 30 adsorption (sim) methods in treating phenols and chlorophenols. A range of linear regression 31 models was developed to predict the percentage reduction for each of the processes used
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来源期刊
CiteScore
5.40
自引率
7.40%
发文量
80
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