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首页> 外文期刊>Advances in Environmental Technology >Mathematical modeling and optimization of sonication remediation of soil polluted with 2-methylpropane-2-thiol
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Mathematical modeling and optimization of sonication remediation of soil polluted with 2-methylpropane-2-thiol

机译：超声处理2-甲基丙烷-2-硫醇污染土壤的数学模型与优化

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摘要

Existence of 2-methylpropane-2-thiol as an organosulfur and odorant compound in the soil could causes environmental problem and social dissatisfaction. In this study, remediation of this type of thiol using ultrasound is investigated. Central Composite Design (CCD) based on Response Surface Model (RSM) was used to obtain effects of the main factor (Power, sonication time and amount of water) and their interactions. Analysis of variance and Pareto analysis shows that all main factors are effective (the percentage effects of 43.30%, 30.35% and 9.62% on removal efficiency for power, sonication time and amount of water respectively). Moreover, interaction between water content and power, and sonication time and power are effective interaction (with P-values of 0.025 and 0.007 respectively). Base on experiment results and analysis of variance effects of the daylight is not significant (P-value=0.825). P-value of lack of fit (0.176) suggested model assessed as a good model and adequately fits data. Highest levels of power and sonication time (86 watt and 38 minute respectively) and water content in lower level (27 ml) in studied interval lead to maximum removal efficiency (82.83%).
机译：土壤中存在2-甲基丙烷-2-硫醇作为有机硫和增味剂，可能引起环境问题和社会不满。在这项研究中，研究了使用超声波修复这种类型的硫醇的方法。基于响应表面模型（RSM）的中央复合设计（CCD）用于获得主要因素（功率，超声处理时间和水量）及其相互作用的影响。方差分析和帕累托分析表明，所有主要因素均有效（分别对功率，超声处理时间和水去除效率的百分比影响分别为43.30％，30.35％和9.62％）。此外，水含量和功率之间的相互作用以及超声处理时间和功率之间的相互作用是有效的相互作用（P值分别为0.025和0.007）。根据实验结果和对日光的方差影响的分析不显着（P值= 0.825）。缺乏拟合的P值（0.176）表明该模型被评估为良好模型并充分拟合了数据。在研究间隔中，最高功率和超声处理时间（分别为86瓦和38分钟）和较低含量（27毫升）中的水分导致最大去除效率（82.83％）。

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