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PREDICTING BIOTREATABILITY END-POINTS FOR CRUDE OIL IN SOIL

机译:预测土壤中原油的生物重症性终点

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Laboratory scale biotreatability and/or field pilot studies have generally been used to determine whether ex situ bioremediation (composting or land treatment) can achieve total petroleum hydrocarbon (TPH) or oil and grease (O&G) cleanup goals for a given site soil. In this study, data from bioremediation studies (laboratory to full scale) involving weathered crude oil contaminated soil were used to develop and validate predictive models. Chemical data characterizing the starting hydrocarbon composition were used to predict bioremediation end-points. Two equations were found to adequately describe biodegradation end-points for crude oil-impacted soil (one based on O&G content and the second based on TPH quantified by gas chromatography). The O&G predictive equation was validated using bioremediation results from aged hydrocarbon spill areas. The degree of correlation between equation-predicted and observed biodegradation end-points for the equation suggests that they are suitable for making screening-level decisions about the bioremediation potential of a particular site soil, thereby eliminating the need for costly treatability and pilot studies in some cases.
机译:实验室规模的生物重症性和/或现场导频研究通常用于确定原位生物修复(堆肥或碎片或碎片处理)是否可以实现全石油烃(TPH)或油和油脂(O&G)用于给定部位土壤的净化目标。在这项研究中,来自生物修复研究(实验室至全规模)的数据涉及风化原油污染土壤的污染土壤,用于开发和验证预测模型。表征起始烃组合物的化学数据用于预测生物化终点。发现两条方程充分描述了原油抗冲击土壤的生物降解终点(基于O&G含量,基于通过气相色谱法量化的TPH)。使用来自碳氢化合物泄漏区域的生物修复结果验证了O&G预测方程。等式的等式预测和观察到的生物降解端之间的相关程度表明它们适用于对特定场地土壤的生物修复潜力进行筛选级决定,从而消除了一些昂贵的处理和试验研究的需求案例。

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