Changzhou University, Jiangsu 213164, China.
J Hazard Mater. 2012 Nov 30;241-242:371-8. doi: 10.1016/j.jhazmat.2012.09.055. Epub 2012 Sep 29.
Successful site remediation is critically based on a comprehensive understanding of distribution of contaminants, soil physico-chemical and microbial properties in oil contaminated sites. One hundred and ten topsoils were sampled from seven typical oil fields in different geoclimate regions across north to south China to investigate the spatial variances of oil contaminations and soil parameters. Oil concentrations and compositions, soil geochemical properties and microbial populations were analyzed and statistic analysis methods were used to analyze the spatial pattern of soil variables. The results indicated that oil contaminations were serious in most oil exploring areas in China, especially with high levels of polycyclic aromatic hydrocarbons (PAHs) from petrogenic origin. Ordination analyses indicated a relatively distinct spatial pattern that all soil samples grouped mainly by geographic locations, instead of distributing along contamination or other geochemical variable gradient. Microbial populations were found to be statistically positively correlated with soil nitrogen, phosphorus and water content, and negatively correlated with salt pH and soluble salts (P<0.05). This study provided insights into the spatial variability of soil variables in hydrocarbon-contaminated fields across large spatial scales, which is important for the environmental protection and further remediation in oil contaminated sites according to local conditions.
成功的场地修复取决于对污染物分布、油污染场地土壤理化和微生物特性的全面了解。本研究从中国南北不同地理气候区的 7 个典型油田采集了 110 个表层土壤样品，以调查油污染和土壤参数的空间变异性。分析了油浓度和组成、土壤地球化学性质和微生物种群，并采用统计分析方法分析了土壤变量的空间格局。结果表明，中国大多数石油勘探区的油污染都很严重，特别是来自生源的多环芳烃（PAHs）含量较高。排序分析表明，所有土壤样品主要按地理位置分组，而不是沿污染或其他地球化学变量梯度分布，具有相对明显的空间格局。微生物种群与土壤氮、磷和水分呈正相关，与盐 pH 值和可溶性盐呈负相关（P<0.05）。本研究深入了解了大空间尺度上受碳氢化合物污染场地土壤变量的空间变异性，这对于根据当地条件进行油污染场地的环境保护和进一步修复具有重要意义。
