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采用物理化学和生物方法相结合的手段对石油烃污染土壤进行特性描述。

A combined approach of physicochemical and biological methods for the characterization of petroleum hydrocarbon-contaminated soil.

出版信息

Environ Sci Pollut Res Int. 2014 Jan;21(1):454-63. doi: 10.1007/s11356-013-1923-3.

Abstract

Main physicochemical and microbiological parameters of collected petroleum-contaminated soils with different degrees of contamination from DaGang oil field (southeast of Tianjin, northeast China) were comparatively analyzed in order to assess the influence of petroleum contaminants on the physicochemical and microbiological properties of soil. An integration of microcalorimetric technique with urease enzyme analysis was used with the aim to assess a general status of soil metabolism and the potential availability of nitrogen nutrient in soils stressed by petroleum-derived contaminants. The total petroleum hydrocarbon (TPH) content of contaminated soils varied from 752.3 to 29,114 mg kg(−1). Although the studied physicochemical and biological parameters showed variations dependent on TPH content, the correlation matrix showed also highly significant correlation coefficients among parameters, suggesting their utility in describing a complex matrix such as soil even in the presence of a high level of contaminants. The microcalorimetric measures gave evidence of microbial adaptation under highest TPH concentration; this would help in assessing the potential of a polluted soil to promote self-degradation of oil-derived hydrocarbon under natural or assisted remediation. The results highlighted the importance of the application of combined approach in the study of those parameters driving the soil amelioration and bioremediation.

摘要

为了评估石油污染物对土壤理化和微生物特性的影响,对来自中国天津东南部大港油田不同污染程度的受石油污染土壤的主要理化和微生物参数进行了比较分析。采用微量热技术与脲酶分析相结合的方法,评估了受石油衍生污染物胁迫的土壤的整体代谢状况和氮素养分的潜在有效性。受污染土壤的总石油烃(TPH)含量从 752.3 到 29114 毫克/千克不等。尽管研究的理化和生物学参数显示出依赖于 TPH 含量的变化,但相关矩阵也显示出参数之间具有高度显著的相关系数,这表明它们即使在存在高浓度污染物的情况下,也可用于描述土壤等复杂基质。微量热测量结果表明,在最高 TPH 浓度下微生物具有适应性;这有助于评估受污染土壤在自然或辅助修复条件下促进油源烃自降解的潜力。研究结果强调了在研究驱动土壤改良和生物修复的这些参数时应用综合方法的重要性。

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