Assessing mobility and redistribution patterns of sand and oil agglomerates in the surf zone

https://doi.org/10.1016/j.marpolbul.2014.01.004Get rights and content

Highlights

  • Sand/oil agglomerate (surface residual ball, SRB) mobility and transport modeled.

  • Observed collection patterns of SRBs analyzed and compared to model output.

  • Model and observations indicated cm-size SRBs are only mobilized during storms.

  • Lower mobility threshold for sand made SRB burial/exhumation likely.

  • Flood/ebb flow asymmetries in inlets created a trapping mechanism for SRBs.

Abstract

Heavier-than-water sand and oil agglomerates that formed in the surf zone following the Deepwater Horizon oil spill continued to cause beach re-oiling 3 years after initial stranding. To understand this phenomena and inform operational response now and for future spills, a numerical method to assess the mobility and alongshore movement of these “surface residual balls” (SRBs) was developed and applied to the Alabama and western Florida coasts. Alongshore flow and SRB mobility and potential flux were used to identify likely patterns of transport and deposition. Results indicate that under typical calm conditions, cm-size SRBs are unlikely to move alongshore, whereas mobility and transport is likely during storms. The greater mobility of sand compared to SRBs makes burial and exhumation of SRBs likely, and inlets were identified as probable SRB traps. Analysis of field data supports these model results.

Introduction

As a result of the Deepwater Horizon oil spill, several million barrels of gas and oil flowed into the Gulf of Mexico between April and July of 2010 from the Macondo well’s location southeast of coastal Louisiana (Fig. 1A; McNutt et al., 2011, Reddy et al., 2012). Some oil that was not collected or dispersed was transported via surface currents to the coast along the northern Gulf of Mexico. In the surf zone, oil mixed with suspended sediment to form heavier-than-water sand and oil agglomerates that sank to the seafloor (Operational Science Advisory Team, 2011). Stranded oil that mixed with sand to form deposits on the beach face could also be subsequently eroded and introduced into the surf zone (Michel et al., 2013). Agglomerates range in size from small millimeter (mm) to centimeter (cm) sized pieces to large submerged oil mats (also called SOMs) that extend up to a few meters in the cross shore and 10–100’s of meters (m) in the alongshore, with thickness up to 20 cm. Under energetic wave conditions, mats may break up to form smaller, more mobile pieces referred to as surface residual balls (SRBs). These SRB’s, typically consisting of between 70% and 95% sand by weight with the remainder a mix of oil and water (Operational Science Advisory Team, 2011), can be transported onshore of their formation location or elsewhere along the beach to cause re-oiling. Because the sand that comprises the seafloor is highly mobile within the surf zone, mats and SRBs may be buried up to meters in depth when features such as ripples and sand bars migrate over them. If formed at the shoreline and the shoreline accretes, mats and SRBs can be buried there as well. Subsequently, the beach profile may change again, exposing the mats or SRBs and resulting in re-oiling.

As part of the response and mitigation efforts, mats are identified by clean-up teams who perform regular patrols and respond to alerts of re-oiling. When mats are discovered, they are generally removed unless this is not acceptable due to constraints posed by sensitive wildlife. SRBs are also removed from the beach by clean-up teams. Key questions for response and mitigation operations are when and where SRBs are mobilized, whether they move alongshore, and in what direction. Answers to these questions determine if a newly observed deposition at a previously cleaned site is indicative of a local source requiring mitigation and determine what areas are most likely to have continued re-oiling through transport from other locations.

Little is known about the processes of mat formation or fragmentation, or about SRB dynamics. Prior studies have focused on lower density residual oil lumps or “tarballs” that typically float, and only become neutrally buoyant or sink through accumulation of sand or shell hash on the outer surface (Antia, 1993, Balkas et al., 1982, Del Sontro et al., 2007, Gabche et al., 1998, Georges and Oostdam, 1983, Goli, 1982, Iliffe and Knap, 1979, Owens et al., 2002, Tsouk et al., 1985). To address this knowledge gap, a numerical methodology was developed to: (1) identify spatial patterns in alongshore currents that drive SRB transport within the surf zone; (2) determine when SRBs are mobilized; (3) identify probable patterns of SRB redistribution; and (4) determine the effects of inlets on SRB mobility, transport, and deposition. In addition, observational data based on collection of SRB and mat material by clean-up teams were analyzed to assess the numerical model results. The methodology was applied to the Alabama (AL) and western Florida (FL) coasts where oiling and SRB generation occurred following the Deepwater Horizon blowout. In the next section, the methods used to evaluate 1–4 are described. The results section contains predictions of alongshore current patterns, SRB/sand mobility and transport, and analysis of observational data. The discussion section focuses on the correlations between predicted and observed SRB mobility patterns, and implications for future applications are discussed. The primary findings are summarized in the conclusion section.

Section snippets

Methodology

Because surf zone alongshore currents are driven, in part, by waves approaching the shore at an angle to the coast, the range of hydrodynamic variability was determined by numerically modeling waves and alongshore currents for 80 characteristic wave scenarios. A set of six mobility and transport metrics were calculated for each scenario to determine SRB response. Two additional metrics identified probable long-term distribution patterns by combining the results of all scenarios. A ninth metric

Model results

The most probable direction of deep-water waves in the northern Gulf of Mexico during the period considered were from the SSE, with a spatially variable wave field in the domain typically having larger wave heights to the west and smaller wave heights to the east. Depending primarily on wave direction, the alongshore currents in the domain either were to the west or, if waves arrived from a more southerly direction, exhibited a complex pattern including current convergences and reversals as

Discussion

Within isolated littoral cells, there was a significant positive correlation between mass of SRBs collected and wave height at a lag of approximately 6 days, and a negative correlation at zero lag. Because these calculations were for isolated littoral cells, this relationship was not a result of alongshore transport into the region. Possible explanations are that SRB material was transported cross-shore from a location deeper than the range of previous mat and SRB removal, which would have to

Conclusions

This study was the first analysis of the mobility and transport patterns of heavier-than-water surface residue balls (SRBs), sand and residual oil agglomerates that have caused significant re-oiling in the northern Gulf of Mexico following the Deepwater Horizon oil spill. A scenario-based methodology was developed to characterize the wave climate in the northern Gulf of Mexico, which allowed for an assessment of wave and alongshore current conditions during and following the spill that is

Acknowledgements

This research was chartered by the U.S. Coast Guard Federal On-Scene Coordinator for the Deepwater Horizon oil spill. This study has been peer reviewed and approved for publication consistent with U.S. Geological Survey Fundamental Science Practices policies. However, the conclusions do not necessarily reflect those of the U.S. Coast Guard or any of the other agencies or entities represented on the Deepwater Horizon Incident Management Team. Any use of trade, firm, or product names is for

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