Abstract
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.
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Acknowledgments
We thank Xinghan Yue, Honglei Li, Jinjun Li, Shengli Lian, and Tengfei Guo for their great help in the experiments.
Funding
This research work is supported by the youth project in National Natural Science Foundation of China (No. 41502261), Special Project of Major Instrument in National Natural Science Foundation of China (No. 41427803), and General Project of Zhejiang Province Department of Education (No. Y201534409).
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Responsible editor: Philippe Garrigues
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Pan, Y., Jia, Y., Wang, Y. et al. Study on diesel vertical migration characteristics and mechanism in water-bearing sand stratum using an automated resistivity monitoring system. Environ Sci Pollut Res 25, 3802–3812 (2018). https://doi.org/10.1007/s11356-017-0698-3
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DOI: https://doi.org/10.1007/s11356-017-0698-3