College of Fisheries, Zhejiang Ocean University, Zhoushan, China.
Key Laboratory of Marine Fishery Equipment and Technology of Zhejiang, Zhejiang Ocean University, Zhoushan, China.
Environ Sci Pollut Res Int. 2018 Feb;25(4):3802-3812. doi: 10.1007/s11356-017-0698-3. Epub 2017 Nov 24.
Oil spills frequently occur on both land and sea. Petroleum in mobile phase will cause serious pollution in the sediment and can form a secondary pollution source. Therefore, it is very important to study the migration of petroleum in sediments ideally in a rapid and simplified approach. The release of diesel was simulated using fine beach sand to construct a model aquifer, and dynamic monitoring was carried out using an automated monitoring system including a resistivity probe originally developed by our research group. The mobile phase migration fronts were determined accurately using wavelet analysis method combined with resistivity curve method. Then, a relationship between resistivity and the joint oil-water content was established. The main conclusions were as follows. The seepage velocity of the diesel with high mobility at the initial stage of infiltration was faster, followed by a period when gravity seepage was dominant, and finally a redistribution period at the later stage, which was mainly an oil-water displacement process. The resistivity trends for diesel infiltration in different water-saturated soil layers varied with depth. The resistivity in the vadose zone fluctuated significantly, increasing initially and later decreasing. The resistivity change in the capillary zone was relatively small and constant in the initial stage; then, it increased and subsequently decreased. The resistivity in the saturated zone was basically unchanged with depth, and the value became slightly larger than the background value over time. Overall, for a large volume of mobile phase diesel leakage, the arrival migration fronts can be detected by wavelet analysis combined with resistivity curves. The thickness of the oil slick in the capillary zone can be estimated by resistivity changes. The relationships between resistivity and both the moisture content and oil-water joint saturation are in agreement with the linear models. The research results provide basic data and a new data processing method for monitoring of contaminated sites following major oil spills using the resistivity method.
溢油事件在陆地和海洋中频繁发生。处于运移相态的石油会对底泥造成严重污染,并可能形成二次污染源。因此,理想情况下,采用快速、简化的方法研究石油在沉积物中的运移非常重要。采用细海滩砂构建模型含水层,模拟柴油的释放,采用本研究组自主研发的电阻率探头自动化监测系统进行动态监测。采用小波分析方法结合电阻率曲线法,准确确定了移动相迁移前沿,建立了电阻率与油水联合饱和度的关系。主要结论如下:在初始渗流阶段,高流动性柴油的渗流速度较快,随后是重力渗流为主的阶段,最后是后期的再分配阶段,主要是油水置换过程。不同水饱和土壤层中柴油渗滤的电阻率趋势随深度而变化。非饱和带的电阻率波动较大,初期增加,后期减少。毛细带的电阻率变化相对较小,初期基本保持不变;然后增加,随后减少。饱和带的电阻率基本随深度不变,随着时间的推移,其值略大于背景值。总的来说,对于大量运移相柴油泄漏,可以通过小波分析结合电阻率曲线检测到达的迁移前沿。通过电阻率变化可以估算毛细带油膜的厚度。电阻率与含水率和油水联合饱和度之间的关系符合线性模型。研究结果为利用电阻率法监测大型溢油污染场地提供了基础数据和新的数据处理方法。