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Biological-chemical treatment of polycyclic aromatic hydrocarbon contaminated soil / Salina Alias

机译:多环芳烃污染土壤的生物化学处理/盐沼别名

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摘要

Industrialization has caused a great deal of environmental pollutions such as soil contamination via deposition and spillage of contaminants. One of the major contaminants is high molecular weight (HMW) polycyclic aromatic hydrocarbon (PAH), specifically the benzo(a)pyrene. Benzo(a)pyrene is known for its carcinogenic effect. Several soil remediation strategies have been proposed. However, to date, remediation of benzo(a)pyrene contaminated soil using zero-valent iron (ZVI) and hybrid bacteria-ZVI has not been investigated. The capability of bacteria, namely, Corynebacterium urealyticum and Sphingobacterium spiritovorum to degrade benzo(a)pyrene in soil were firstly investigated in three conditions, single, binary and ternary substrate experiments. Binary and ternary substrate experiments involved the degradation of benzo(a)pyrene, a HMW-PAH with the presence of low molecular weight (LMW) PAH. It was found that both bacteria were capable of degrading the benzo(a)pyrene in the presence of anthracene and phenanthrene (both are LMW-PAHs). However the degree of degradation varied. For instance, the degradation of benzo(a)pyrene was enhanced with the presence of anthracene and phenanthrene in ternary substrate experiment, where 30% of benzo(a)pyrene was degraded. In the single and binary substrate experiment which only phenanthrene was present, about 24% and 14% of benzo(a)pyrene was degraded. Both bacteria degraded the benzo(a)pyrene at the rate of 1.508 - 3.229 mg/kg/day. Then, the ability of ZVI, an engineered iron particles to facilitate in the oxidation of benzo(a)pyrene, was evaluated in single and mixed PAHs experiments with different ZVI concentrations. In this case, it was found that the higher the dosage of ZVI in the soil, the more benzo(a)pyrene was oxidized. The degradation rates for ZVI oxidation were at 0.154 - 0.718 mg/kg/minutes which is 150 times higher than the biological treatment. The soil contaminated by benzo(a)pyrene was then sequentially and simultaneously remediated with bacteria and ZVI in hybrid treatment approaches. A slight enhancement in the removal of benzo(a)pyrene was found in the hybrid treatment compared to the individual treatment approach. However, the most effective hybrid approach was through the sequence treatment with bacteria {Sphingobacterium spiritovorum) followed by ZVI. In this, 48% of benzo(a)pyrene was removed. The maximum biotic and abiotic conditions for the efficient remediation strategy of benzo(a)pyrene were also investigated. It was found that concentration of bacteria at CFU 108/g, temperature 35°C and pH 4 were the maximum conditions for the hybrid bacteria-ZVI. Mathematical models to predict benzo(a)pyrene removal using S. spiritovorum-biologicdiX treatment, ZVI-chemical treatment and hybrid S. spiritovorum-ZVl were successfully developed and validated in this study. The proposed models were able to provide prediction of benzo(a)pyrene removal that will help engineers to plan and design the remediation strategy in order to minimize the impact of PAH contamination on human and environment.
机译:工业化已经造成了许多环境污染,例如由于沉积和污染物溢出造成的土壤污染。主要污染物之一是高分子量(HMW)多环芳烃(PAH),尤其是苯并(a)re。苯并a具有致癌作用。已经提出了几种土壤修复策略。但是,迄今为止,尚未研究使用零价铁(ZVI)和杂合细菌-ZVI修复苯并(a)re污染的土壤。首先在单,二元和三元底物实验的三种条件下研究了解脲棒杆菌和灵芝鞘氨醇杆菌在土壤中降解苯并(a)py的能力。二元和三元底物实验涉及降解低分子量(LMW)PAH的HMW-PAH苯并(a)re。发现在蒽和菲(均为LMW-PAHs)存在下,两种细菌都能够降解苯并(a)py。但是,降解程度各不相同。例如,在三元底物实验中,蒽和菲的存在促进了苯并(a)py的降解,其中苯并(a)py的30%被降解。在仅存在菲的单一和二元底物实验中,约24%和14%的苯并(a)ne被降解。两种细菌均以1.508-3.229 mg / kg / day的速率降解苯并(a)re。然后,在具有不同ZVI浓度的单个和混合PAHs实验中评估了ZVI(一种工程铁颗粒)促进苯并(a)py氧化的能力。在这种情况下,发现土壤中ZVI的含量越高,苯并(a)re的氧化程度就越高。 ZVI氧化的降解速率为0.154-0.718 mg / kg / min,比生物处理高150倍。然后在混合处理方法中依次用细菌和ZVI修复被苯并(a)re污染的土壤。与单独的处理方法相比,在混合处理中发现苯并(​​a)py的去除略有增强。但是,最有效的杂交方法是先用细菌(Sphingobacterium spiritovorum)再用ZVI进行序列处理。在这种情况下,去除了48%的苯并(a)re。还研究了有效修复苯并(a)py的最大生物和非生物条件。发现杂合细菌-ZVI的最高条件是CFU 108 / g,温度35°C和pH 4的细菌浓度。在本研究中,成功​​开发并验证了预测使用S. spiritovorum-biologicdiX处理,ZVI化学处理和S. spiritovorum-ZV1杂交处理预测苯并(a)removal去除的数学模型。所提出的模型能够提供对苯并(a)removal去除的预测,这将有助于工程师规划和设计补救策略,以最大程度地减少PAH污染对人类和环境的影响。

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