以过氧化钙为催化剂的催化臭氧处理合成废水中的双氯芬酸的优化方法

Q3 Environmental Science Environment and Natural Resources Journal Pub Date : 2024-07-01 DOI:10.32526/ennrj/22/20240102
Papitchaya Chookaew, Apiradee Sukmilin, C. Jarusutthirak
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引用次数: 0

摘要

本研究探讨了臭氧氧化工艺与过氧化钙(CaO2)催化剂相结合去除合成废水中双氯芬酸(DCF)的性能。实验采用文丘里式臭氧法,臭氧产生率为 96.30 mg/h。采用箱-贝肯实验设计(BBD)的响应面方法(RSM),通过优化催化臭氧处理过程来研究 DCF 的去除率,并分析溶液 pH 值(5.0-9.0)、DCF 初始浓度(10-25 mg/L)、CaO2 用量(1-3 g/L)和反应时间(30-90 分钟)等关键参数对 DCF 去除率的影响。方差分析(ANOVA)表明,RSM-BBD 得出的实验模型最适合二次回归模型,决定系数(R2)为 0.84。该模型表明,要达到最高的 DCF 去除效率(最高可达 100%),最佳条件是初始 DCF 浓度为 10 mg/L、溶液 pH 值为 7、CaO2 用量为 2 g/L、反应时间为 90 分钟。在这些条件下,确认试验的实际 DCF 去除率为 97.6%。模型的准确性得到了验证;均方根误差(RMSE)为 5.90,平均绝对百分比误差(MAPE)为 6.10%,表明该回归模型可用于预测各种条件下的 DCF 去除效率。结果表明,以 CaO2 为催化剂的催化臭氧法可以有效去除合成废水中的 DCF。
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Optimization of Diclofenac Treatment in Synthetic Wastewater using Catalytic Ozonation with Calcium Peroxide as Catalyst
This research studied the performance of ozonation process combined with calcium peroxide (CaO2) as a catalyst for the removal of diclofenac (DCF) from synthetic wastewater. The experiments were conducted using venturi-type ozonation with an ozone production rate of 96.30 mg/h. Response surface methodology (RSM) with a Box-Behnken experimental design (BBD) was used to investigate the DCF removal efficiency by optimizing the catalytic ozonation process and analyzing the influence of key parameters: solution pH (5.0-9.0), initial DCF concentration (10-25 mg/L), CaO2 dosage (1-3 g/L), and reaction time (30-90 min), on the DCF removal efficiencies. Analysis of variance (ANOVA) indicated that the experimental model derived from the RSM-BBD was best suited to a quadratic regression model, with a coefficient of determination (R2) of 0.84. The model demonstrated that the optimal conditions for achieving the highest DCF removal efficiency of up to 100% were an initial DCF concentration of 10 mg/L, solution pH of 7, CaO2 dosage of 2 g/L, and reaction time of 90 min. Using these conditions, the actual DCF removal efficiency from a confirmation test was 97.6%. The accuracy of the model was verified; the root mean square error (RMSE) was 5.90 and the mean absolute percentage error (MAPE) was 6.10%, indicating that the regression model could be used to predict the DCF removal efficiency under various conditions. The results showed that catalytic ozonation using CaO2 as a catalyst could effectively remove DCF in synthetic wastewater.
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来源期刊
Environment and Natural Resources Journal
Environment and Natural Resources Journal Environmental Science-Environmental Science (all)
CiteScore
1.90
自引率
0.00%
发文量
49
审稿时长
8 weeks
期刊介绍: The Environment and Natural Resources Journal is a peer-reviewed journal, which provides insight scientific knowledge into the diverse dimensions of integrated environmental and natural resource management. The journal aims to provide a platform for exchange and distribution of the knowledge and cutting-edge research in the fields of environmental science and natural resource management to academicians, scientists and researchers. The journal accepts a varied array of manuscripts on all aspects of environmental science and natural resource management. The journal scope covers the integration of multidisciplinary sciences for prevention, control, treatment, environmental clean-up and restoration. The study of the existing or emerging problems of environment and natural resources in the region of Southeast Asia and the creation of novel knowledge and/or recommendations of mitigation measures for sustainable development policies are emphasized. The subject areas are diverse, but specific topics of interest include: -Biodiversity -Climate change -Detection and monitoring of polluted sources e.g., industry, mining -Disaster e.g., forest fire, flooding, earthquake, tsunami, or tidal wave -Ecological/Environmental modelling -Emerging contaminants/hazardous wastes investigation and remediation -Environmental dynamics e.g., coastal erosion, sea level rise -Environmental assessment tools, policy and management e.g., GIS, remote sensing, Environmental -Management System (EMS) -Environmental pollution and other novel solutions to pollution -Remediation technology of contaminated environments -Transboundary pollution -Waste and wastewater treatments and disposal technology
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