System Dynamic-Based Oil Weathering Processes: Simulation and Analysis

In recent years, many oil spill weathering process models have been developed to predict the trajectory and fate of oil at sea. As a part of oil spill damage assessment model, a precise prediction of physical fate and chemical properties of spilled oil on the sea surface is a key factor to assess environmental damages and take response actions. A system dynamic (SD) model is applied to predict the physical fate and properties of spilled oil in this paper, since oil weathering processes affect each other after spillage. The major oil weathering processes, spreading, evaporation, dispersion, emulsification, dissolution, biodegradation, and oil properties, dynamic viscosity, dynamic density, and oil–water interfacial tension, are included in the SD model and simulated later. The main purpose of this paper is to provide a new way to predict oil weathering processes and oil mass balance using the SD model.

[1]  Mark Reed,et al.  Perspective on validating the natural resource damage assessment model system , 1989 .

[2]  D Mackay,et al.  Evaporation rate of spills of hydrocarbons and petroleum mixtures. , 1984, Environmental science & technology.

[3]  Brian Veitch,et al.  A state-of-the-art review of fate and transport of oil spills in open and ice-covered water , 2016 .

[4]  B. Koseoglu,et al.  Numerical modelling of oil spill in New York Bay , 2016 .

[5]  William Lehr,et al.  Revisions of the ADIOS oil spill model , 2002, Environ. Model. Softw..

[6]  Volker Coors,et al.  Combining system dynamics model, GIS and 3D visualization in sustainability assessment of urban residential development , 2012 .

[7]  E. Holder,et al.  Biodegradability of dispersed crude oil at two different temperatures. , 2007, Marine pollution bulletin.

[8]  M. Spaulding A state-of-the-art review of oil spill trajectory and fate modeling* , 1988 .

[9]  Sukumar Devotta,et al.  Simulation of impact of oil spill in the ocean – a case study of Arabian Gulf , 2008, Environmental monitoring and assessment.

[10]  Eduardo de Paula Kirinus,et al.  Numerical modeling of the Tramandaí beach oil spill, Brazil—Case study for January 2012 event , 2017 .

[11]  N. Leder,et al.  Numerical modelling of an oil spill in the northern Adriatic , 2012 .

[12]  Haifeng Li,et al.  Modeling and dynamic assessment of urban economy–resource–environment system with a coupled system dynamics – geographic information system model , 2011 .

[13]  A transportable system of models for natural resource damage assessment , 1992 .

[14]  Travis A. Smith,et al.  Simulating Surface Oil Transport During the Deepwater Horizon Oil Spill: Experiments with the BioCast System , 2014 .

[15]  D. D. Ofiara Natural resource damage assessments in the United States: rules and procedures for compensation from spills of hazardous substances and oil in waterways under US jurisdiction. , 2002, Marine pollution bulletin.

[16]  Mervin F. Fingas,et al.  A literature review of the physics and predictive modelling of oil spill evaporation , 1995 .

[17]  J. Opaluch,et al.  Natural resource damage assessment for the Hebei Spirit oil spill: An application of Habitat Equivalency Analysis. , 2017, Marine pollution bulletin.

[18]  Daming Li,et al.  Mathematical Modeling of Marine Oil Spills in the Luanjiakou District, near the Port of Yantai , 2018 .

[19]  T. Collier,et al.  Environmental effects of the Deepwater Horizon oil spill: A review. , 2016, Marine pollution bulletin.

[20]  J. Fay The Spread of Oil Slicks on a Calm Sea , 1969 .

[21]  Mark Reed,et al.  The physical fates component of the natural resource damage assessment model system , 1989 .

[22]  Desheng Wu,et al.  Dynamic assessment of urban economy‐environment‐energy system using system dynamics model: A case study in Beijing , 2018, Environmental research.

[23]  W. J. Guo,et al.  A numerical oil spill model based on a hybrid method. , 2009, Marine pollution bulletin.

[24]  M. Fingas,et al.  Modeling evaporation using models that are not boundary-layer regulated. , 2004, Journal of hazardous materials.

[25]  Poojitha D. Yapa,et al.  A Mathematical model for oil slick transport and mixing in rivers , 1993 .

[26]  Robin Drogemuller,et al.  System dynamic simulation: A new method in social impact assessment (SIA) , 2017 .

[27]  D. Wu,et al.  Adapting ecological risk valuation for natural resource damage assessment in water pollution , 2018, Environmental research.

[28]  C. Guedes Soares,et al.  Modeling the fate of oil spills at sea , 1995 .

[29]  M. Spaulding State of the art review and future directions in oil spill modeling. , 2017, Marine pollution bulletin.

[30]  Methods for predicting the physical changes in oil spilt at sea , 1988 .

[31]  David P. Hoult,et al.  Oil Spreading on the Sea , 1972 .