Literature DB >> 28087050

State of the art review and future directions in oil spill modeling.

Malcolm L Spaulding1.   

Abstract

A review of the state of the art in oil spill modeling, focused on the period from 2000 to present is provided. The review begins with an overview of the current structure of spill models and some lessons learned from model development and application and then provides guiding principles that govern the development of the current generation of spill models. A review of the basic structure of spill models, and new developments in specific transport and fate processes; including surface and subsurface transport, spreading, evaporation, dissolution, entrainment and oil droplet size distributions, emulsification, degradation, and sediment oil interaction are presented. The paper concludes with thoughts on future directions in the field with a primary focus on advancements in handling interactions between Lagrangian elements.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biodegradation; Dissolution; Emulsification; Entrainment and droplet size distributions; Evaporation; Lagrangian elements; Oil sediment interaction; Oil spill modeling; Spherical particle hydrodynamics; Spreading; Surface and subsurface transport; Transport and fate processes

Mesh:

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Year:  2017        PMID: 28087050     DOI: 10.1016/j.marpolbul.2017.01.001

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  3 in total

1.  Comparative toxicity assessment of in situ burn residues to initial and dispersed heavy fuel oil using zebrafish embryos as test organisms.

Authors:  Sarah Johann; Mira Goßen; Leonie Mueller; Valentina Selja; Kim Gustavson; Janne Fritt-Rasmussen; Susse Wegeberg; Tomasz Maciej Ciesielski; Bjørn Munro Jenssen; Henner Hollert; Thomas-Benjamin Seiler
Journal:  Environ Sci Pollut Res Int       Date:  2020-12-03       Impact factor: 4.223

2.  A tradeoff between physical encounters and consumption determines an optimal droplet size for microbial degradation of dispersed oil.

Authors:  Vicente I Fernandez; Roman Stocker; Gabriel Juarez
Journal:  Sci Rep       Date:  2022-03-18       Impact factor: 4.996

3.  Predicting Primary Biodegradation of Petroleum Hydrocarbons in Aquatic Systems: Integrating System and Molecular Structure Parameters using a Novel Machine-Learning Framework.

Authors:  Craig Warren Davis; Louise Camenzuli; Aaron D Redman
Journal:  Environ Toxicol Chem       Date:  2022-04-29       Impact factor: 4.218

  3 in total

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