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Biochar and Activated Carbon for Enhanced Trace Organic Contaminant Retention in Stormwater Infiltration Systems

机译:生物炭和活性炭可增强雨水渗透系统中微量有机污染物的保留

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摘要

To assess the effectiveness of biochar and activated carbon (AC) for enhanced trace organic contaminant (TOrC) retention in stormwater infiltration systems, an approach combining forward-prediction modeling and laboratory verification experiments was employed. Batch and column tests were conducted using representative TOrCs and synthetic stormwater. Based on batch screening tests, two commercially available biochars (BN-biochar and MCG-biochar) and an AC were investigated. The AC exhibited the strongest sorption, followed by MCG-biochar and BN-biochar. Langmuir isotherms provided better fits to equilibrium data than Freundlkh isotherms. Due to superior sorption kinetics, 0.2 wt % MCG-biochar in saturated sand columns retained TOrCs more effectively than 1.0 wt % BN-biochar. A forward-prediction intrapartide diffusion model based on the Langmuir isotherm adequately predicted column results when calibrated using only batch parameters, as indicated by a Monte Carlo uncertainty analysis. Case study simulations estimated that an infiltration basin amended with F300-AC or MCG-biochar could obtain sorption-retarded breakthrough times for atrazine of 54 or 5.8 years, respectively, at a 1 in./h infiltration rate. These results indicate that biochars or ACs with superior sorption capacity and kinetics can enhance TOrC retention in infiltration systems, and performance under various conditions can be predicted using results from batch tests.
机译:为了评估生物炭和活性炭(AC)增强雨水渗透系统中痕量有机污染物(TOrC)保留的有效性,采用了结合前瞻性预测模型和实验室验证实验的方法。使用有代表性的TOrC和合成雨水进行批处理和柱测试。基于批量筛选测试,研究了两种市售生物炭(BN-生物炭和MCG-生物炭)和AC。 AC表现出最强的吸附能力,其次是MCG生物炭和BN生物炭。与Freundlkh等温线相比,Langmuir等温线更适合于平衡数据。由于出色的吸附动力学,饱和砂柱中0.2 wt%的MCG-生物炭比1.0 wt%的BN-生物炭更有效地保留了TOrC。当仅使用批处理参数进行校准时,基于Langmuir等温线的前瞻性颗粒内扩散模型可以充分预测色谱柱结果,如蒙特卡洛不确定性分析所示。案例研究模拟估计,用F300-AC或MCG-biochar改性的浸润池,以1 in./h的浸入速率,对at去津的吸附延迟时间分别为54年或5.8年。这些结果表明,具有超强吸附能力和动力学的生物炭或AC可以增强TOrC在渗透系统中的保留率,并且可以使用分批测试的结果预测各种条件下的性能。

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  • 来源
    《Environmental Science & Technology》 |2015年第10期|6222-6230|共9页
  • 作者单位

    Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, Colorado 80401, United States;

    Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, Colorado 80401, United States;

    School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne NE1 7RU, United Kingdom;

    Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, Colorado 80401, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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  • 正文语种 eng
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