Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
System Dynamic-Based Oil Weathering Processes: Simulation and Analysis
Stockholm University, Faculty of Social Sciences, Stockholm Business School. University of Chinese Academy of Sciences, China .
Number of Authors: 32020 (English)In: IEEE Systems Journal, ISSN 1932-8184, E-ISSN 1937-9234, Vol. 14, no 1, p. 1375-1383Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2020. Vol. 14, no 1, p. 1375-1383
Keywords [en]
Oil spill, oil weathering processes, simulation, system dynamics (SD)
National Category
Computer and Information Sciences Electrical Engineering, Electronic Engineering, Information Engineering Economics and Business
Identifiers
URN: urn:nbn:se:su:diva-181787DOI: 10.1109/JSYST.2019.2924291ISI: 000526061100137OAI: oai:DiVA.org:su-181787DiVA, id: diva2:1432144
Available from: 2020-05-26 Created: 2020-05-26 Last updated: 2022-02-26Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Wu, Desheng Dash

Search in DiVA

By author/editor
Wu, Desheng Dash
By organisation
Stockholm Business School
In the same journal
IEEE Systems Journal
Computer and Information SciencesElectrical Engineering, Electronic Engineering, Information EngineeringEconomics and Business

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 23 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf