Optimization of Petroleum Pollution Prevention and Control by Oil Containment Booms and Algae Barriers in Reservoir
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1.College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China;2.Shanghai Chengtou Raw Water Co. Ltd., Shanghai 200125, China;3.Municipal Environmental Protection Engineering Co. Ltd. of CERC Shanghai Group, Shanghai 201906, China;4.PLA Naval Medical Center, Shanghai 200433, China

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X524

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    Abstract:

    High risk for accidental petroleum pollution in raw water when there is a congestion of shipping facilities in the water source area. The effectiveness in removing oil at different flow velocities and oil spill volumes was analyzed for oil containment drums and algal nets, as well as for the combined process. The removal performance under different flow velocities by different installation methods of oil containers for continuous oil spill was experimentally investigated. The results show that a submergence depth of 0 cm is the least effective in removing oil spills, where 1.5 cm results in lower outlet concentrations (0.14~0.61 mg·L-1) at all flow rates. Various laying methods (free laying, vertical laying, double laying, vertical laying) and different algal concentrations were investigated for the adsorption performance of the algal nets. The results show that the vertical laying method has lower outlet concentration and stable effect (0.15~0.28 mg·L-1) in each initial situation; the combined process has better performance improvement compared with the oil drum, and the concentration at the 12min outlet reduces by 78.8%, 84.6%, and 78.5%, respectively; the decrease in the oil removal effect of the algal nets after treatment of high algal concentration is related to the reduction of active sites.

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XU Bin, ZHANG Zhi, HOU Weiyi, YANG Shengqiao, TANG Yulin, REN Xiaomeng, ZHANG Tianyang. Optimization of Petroleum Pollution Prevention and Control by Oil Containment Booms and Algae Barriers in Reservoir[J].同济大学学报(自然科学版),2023,51(10):1489~1495

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  • Received:August 09,2023
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  • Online: November 01,2023
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