Modeling the transport of oil–particle aggregates resulting from an oil spill in a freshwater environment

Zhu, Zhenduo; Waterman, David M.; García, Marcelo H.

doi:10.1007/s10652-018-9581-0

Cited by 33 publications

(22 citation statements)

References 53 publications

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“…For example, in 2010, a pipeline leak released between 800,000 and one million gallons of dilute bitumen produced from oil sands into the Kalamazoo River, Michigan (USEPA, 2010), which was the largest release of oil into an inland waterway in the United States. (Zhu et al, 2018). In addition to these accidents, operational discharges (tank washing, flushing of ballast water) also release hydrocarbons to aquatic systems.…”

Section: Arsenic Release From Hydrocarbon Storage and Transportationmentioning

confidence: 99%

Arsenic release to the environment from hydrocarbon production, storage, transportation, use and waste management

Schreiber

Cozzarelli

2021

Journal of Hazardous Materials

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Arsenic (As) is a toxic trace element with many sources, including hydrocarbons such as oil, natural gas, oil sands, and oil-and gas-bearing shales. Arsenic from these hydrocarbon sources can be released to the environment through human activities of hydrocarbon production, storage, transportation and use. In addition, accidental release of hydrocarbons to aquifers with naturally occurring (geogenic) As can induce mobilization of As to groundwater through biogeochemical reactions triggered by hydrocarbon biodegradation. In this paper, we review the occurrence of As in different hydrocarbons and the release of As from these sources into the environment. We also examine the occurrence of As in wastes from hydrocarbon production, including produced water and sludge. Last, we discuss the potential for As release related to waste management, including accidental or intentional releases, and recycling and reuse of these wastes.

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Section: Arsenic Release From Hydrocarbon Storage and Transportationmentioning

confidence: 99%

Arsenic release to the environment from hydrocarbon production, storage, transportation, use and waste management

Schreiber

Cozzarelli

2021

Journal of Hazardous Materials

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“…In this case, the DilBit was floating initially, and once the volatile hydrocarbons evaporated, a portion of the heavier bitumen became submerged in the water column [13]. OPAs were then formed from the submerged bitumen and sank, settled, and re-suspended in different areas along the river [19,33]. Some factors that enhanced the formation of OPAs were the warm water temperatures and increased turbulence and suspended sediments due to floodwater [33].…”

Section: Enbridge Kalamazoo River Oil Spillmentioning

confidence: 99%

“…There are also a few trajectory models that can forecast the movement of oil on the surface of the river such as OSCAR (Oil Spill Contingency and Response), GNOME (General NOAA Operational Modeling Environment), OILMAP, RiverSpill, and ROSS3 (River Oil Spill Simulation 3) [2,15,18]. Further, after the Enbridge Kalamazoo River spill in 2010, several models were developed to simulate the formation, fate, and transport of OPAs in riverine environments [7,19,20]. However, these models track only sunken and submerged OPAs and not sunken oil in general.…”

Section: Introductionmentioning

confidence: 99%

Application of the SOSim v2 Model to Spills of Sunken Oil in Rivers

Jacketti

Englehardt

Beegle-Krause

2020

JMSE

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Sunken oil transport processes in rivers differ from those in oceans, and currently available models may not be generally applicable to sunken oil in river settings. The open-source Subsurface Oil Simulator (SOSim) model has been expanded to handle spills of sunken oil in navigable rivers, utilizing Bayesian inference to integrate field concentration data with bathymetric data to predict the location and movement of sunken oil. A novel prior likelihood function incorporates bathymetric input, with sampling grid and default parameters adapted appropriately for rivers. SOSim v2 was demonstrated versus field observations taken following the M/T (Motor Tanker) Athos I oil spill. The model was also modified to operate in 1-D, to assess the longitudinal distribution of sunken oil in a non-navigable river using available poling data collected following the Enbridge Kalamazoo River oil spill in 2010. Results of both case studies were consistent with observed data and local bathymetry in 2-D and 1-D, and the model is suggested as a complement to deterministic models for oil spill emergency response in rivers.

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“…Oil spills have detrimental impacts on coastal ecosystems and marine life (Nixon et al, 2016;Bam et al, 2018;Robinson and Rabalais, 2019;Martin et al, 2020). As a result, oil models have been developed to predict the transport and fate of oil, often by employing Lagrangian particle tracking (Zhu et al, 2018). However, predicting the fate of oil is difficult as it is influenced by a variety of processes, such as spreading, evaporation, and degradation for surface slicks; and emulsification, degradation, and dissolution for oil droplets in the subsurface.…”

Section: Introductionmentioning

confidence: 99%

Formation of Oil-Particle-Aggregates: Numerical Model Formulation and Calibration

2021

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When oil spills occur in turbid waters, the oil droplets and mineral grains can combine to form oil-particle aggregates (OPAs). The formation of OPAs impacts the vertical transport of both the oil and the mineral grains; especially increasing deposition of oil to the seabed. Though the coastal oceans can be very turbid, to date, few numerical ocean models have accounted for aggregation processes that form OPAs. However, interactions between oil and mineral aggregates may be represented using techniques developed to account for sediment aggregation. As part of Consortium for Simulation of Oil Microbial Interactions in the Ocean (CSOMIO), we modified an existing, population dynamics-based sediment flocculation model to develop OPAMOD, a module that accounts for the formation of OPAs. A zero-dimensional model using OPAMOD is shown to be capable of reproducing the size distribution of aggregates from existing laboratory experimental results. Also using the zero-dimensional model, sensitivity tests were performed on two model parameters, the fractal dimension and collision efficiency. Results showed that fractal dimension played a role in the OPA size distribution by influencing the effective particle density, which modified the number concentration of flocs for a given mass concentration. However, the modeled particle characteristics and oil sequestration were relatively insensitive to collision efficiency. To explore OPA formation for an outer continental shelf site, two simulations were conducted using a one-dimensional (vertical) implementation of the model. One scenario had high sediment concentration near the seabed to mimic storm-induced resuspension. The other scenario represented river plume sediment delivery by having high sediment concentration in surface waters. Results showed that OPA formation was sensitive to the vertical distribution of suspended sediment, with the river plume scenario creating more OPA, and sequestering more oil within OPA than the storm resuspension scenario. OPAMOD was developed within the Coupled Ocean-Atmosphere-Wave-and-Sediment Transport (COAWST) modeling system, therefore the methods and parameterizations from this study are transferrable to a three-dimensional coupled oil-sediment-microbial model developed by CSOMIO within the COAWST framework.

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Modeling the transport of oil–particle aggregates resulting from an oil spill in a freshwater environment

Cited by 33 publications

References 53 publications

Arsenic release to the environment from hydrocarbon production, storage, transportation, use and waste management

Arsenic release to the environment from hydrocarbon production, storage, transportation, use and waste management

Application of the SOSim v2 Model to Spills of Sunken Oil in Rivers

Formation of Oil-Particle-Aggregates: Numerical Model Formulation and Calibration

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