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DOI | 10.1190/GEO2013-0468.1 |
Electrical resistivity imaging for long-term autonomous monitoring of hydrocarbon degradation: Lessons from the Deepwater Horizon oil spill | |
Heenan, Jeffrey1; Slater, Lee D.1; Ntarlagiannis, Dimitrios1; Atekwana, Estella A.2; Fathepure, Babu Z.3; Dalvi, Sonal3; Ross, Cameron2; Werkema, Dale D.4; Atekwana, Eliot A.2 | |
发表日期 | 2015 |
ISSN | 0016-8033 |
卷号 | 80期号:1页码:B1-B11 |
英文摘要 | Conceptual models for the geophysical responses associated with hydrocarbon degradation suggest that the long-term evolution of an oil plume will result in a more conductive anomaly than the initial contamination. In response to the Deepwater Horizon (DH) oil spill into the Gulf of Mexico in 2010, an autonomous resistivity monitoring system was deployed on Grand Terre, Louisiana, in an attempt to monitor natural degradation processes in hydrocarbon-impacted beach sediments of this island. A 48-electrode surface array with a 0.5-m spacing was installed to obtain twice-daily images of the resistivity structure of the shallow subsurface impacted by oil. Over the course of approximately 18 months, we observed a progressive decrease in the resistivity of the DH spill-impacted region. Detailed analysis of pixel/point resistivity variation within the imaged area showed that long-term decreases in resistivity were largely associated with the DH-impacted sediments. A microbial diversity survey revealed the presence of hydrocarbon-degrading organisms throughout the test site. However, hydrocarbon degradation activity was much higher in the DH-impacted locations compared to nonimpacted locations, suggesting the presence of active hydrocarbon degraders, supporting biodegradation processes. The results of this long-term monitoring experiment suggested that resistivity might be used to noninvasively monitor the long-term degradation of crude oil spills. |
语种 | 英语 |
WOS记录号 | WOS:000352105900005 |
来源期刊 | GEOPHYSICS
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来源机构 | 美国环保署 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/60073 |
作者单位 | 1.Rutgers State Univ, Dept Earth & Environm Sci, Newark, NJ 07102 USA; 2.Oklahoma State Univ, Boone Pickens Sch Geol, Stillwater, OK 74078 USA; 3.Oklahoma State Univ, Microbiol & Mol Genet, Stillwater, OK 74078 USA; 4.US EPA, Las Vegas, NV 89193 USA |
推荐引用方式 GB/T 7714 | Heenan, Jeffrey,Slater, Lee D.,Ntarlagiannis, Dimitrios,et al. Electrical resistivity imaging for long-term autonomous monitoring of hydrocarbon degradation: Lessons from the Deepwater Horizon oil spill[J]. 美国环保署,2015,80(1):B1-B11. |
APA | Heenan, Jeffrey.,Slater, Lee D..,Ntarlagiannis, Dimitrios.,Atekwana, Estella A..,Fathepure, Babu Z..,...&Atekwana, Eliot A..(2015).Electrical resistivity imaging for long-term autonomous monitoring of hydrocarbon degradation: Lessons from the Deepwater Horizon oil spill.GEOPHYSICS,80(1),B1-B11. |
MLA | Heenan, Jeffrey,et al."Electrical resistivity imaging for long-term autonomous monitoring of hydrocarbon degradation: Lessons from the Deepwater Horizon oil spill".GEOPHYSICS 80.1(2015):B1-B11. |
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