DOI: 10.1016/j.marpolbul.2016.10.005
Scopus记录号: 2-s2.0-85002328281
论文题名: Reynolds number scaling to predict droplet size distribution in dispersed and undispersed subsurface oil releases
作者: Li P. ; Weng L. ; Niu H. ; Robinson B. ; King T. ; Conmy R. ; Lee K. ; Liu L.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2016
卷: 113, 期: 2018-01-02 起始页码: 332
结束页码: 342
语种: 英语
英文关键词: Chemical dispersant
; Dispersant to oil ratio
; Modified Weber number scaling
; Oil droplet size distribution
; Reynolds number scaling
; Rosin-Rammler
Scopus关键词: Crude oil
; Decision making
; Drops
; Forecasting
; Oil spills
; Reynolds number
; Size distribution
; Dispersants
; Oil droplet size distribution
; Oil ratio
; Rosin-Rammler
; Weber numbers
; Offshore oil wells
; petroleum
; petroleum
; water pollutant
; dispersion
; droplet
; oil spill
; Reynolds number
; size distribution
; viscosity
; Article
; decision making
; dispersion
; entropy
; environmental aspects and related phenomena
; modified Weber number scaling
; oil droplet size prediction
; oil spill
; prediction
; sampling
; Alaska
; analysis
; chemistry
; particle size
; theoretical model
; viscosity
; water pollutant
; Alaska
; Models, Theoretical
; Particle Size
; Petroleum
; Petroleum Pollution
; Viscosity
; Water Pollutants, Chemical
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要: This study was aimed at testing the applicability of modified Weber number scaling with Alaska North Slope (ANS) crude oil, and developing a Reynolds number scaling approach for oil droplet size prediction for high viscosity oils. Dispersant to oil ratio and empirical coefficients were also quantified. Finally, a two-step Rosin-Rammler scheme was introduced for the determination of droplet size distribution. This new approach appeared more advantageous in avoiding the inconsistency in interfacial tension measurements, and consequently delivered concise droplet size prediction. Calculated and observed data correlated well based on Reynolds number scaling. The relation indicated that chemical dispersant played an important role in reducing the droplet size of ANS under different seasonal conditions. The proposed Reynolds number scaling and two-step Rosin-Rammler approaches provide a concise, reliable way to predict droplet size distribution, supporting decision making in chemical dispersant application during an offshore oil spill. © 2016 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/86625
Appears in Collections: 过去全球变化的重建 全球变化的国际研究计划
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作者单位: Department of Engineering, Dalhousie University (Truro Campus), Truro, NS, Canada; Department of Civil Engineering, Dalhousie University (Sexton Campus), Halifax, NS, Canada; Centre for Offshore Oil, Gas and Energy Research (COOGER), Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS, Canada; US Environmental Protection Agency (US EPA), Office of Research and Development, Cincinnati, OH, United States; Oceans and Atmosphere Flagship, CSIRO, Bentley, WA, Australia
Recommended Citation:
Li P.,Weng L.,Niu H.,et al. Reynolds number scaling to predict droplet size distribution in dispersed and undispersed subsurface oil releases[J]. Marine Pollution Bulletin,2016-01-01,113(2018-01-02)