Data processing for oil spill domain movement models

• Autorzy: Dąbrowska Ewa , Dąbrowski Maciej

Identyfikatory

DOI

10.26408/srsp-2023-04

• Konferencja: 17th Summer Safety & Reliability Seminars - SSARS 2023, 9-14 July 2023, Kraków, Poland
• Języki publikacji: EN

Abstrakty

EN

This chapter reviews various data processing techniques for modelling the movement of oil spills, including data acquisition, quality control, and pre-processing. It highlights the importance of incorporating both physical and environmental factors such as wind, currents, and water temperature, in oil spill trajectory prediction models. It also discusses the challenges associated with data processing, including data availability and uncertainty. It emphasizes the significance of sound data processing practices to ensure effective response planning and mitigation efforts. Finally, by discussing the potential areas of improvement, and model assumptions and limitations, the chapter aims to inspire further research and development in the field, which can lead to constructing more accurate and reliable oil spill movement models.

Słowa kluczowe

EN

data processing; mathematical models; quality control; model reliability; oil spill domain movement

• Wydawca: Gdynia Maritime University ; Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Safety and Reliability of Systems and Processes
• Rocznik: 2023
• Tom: Summer Safety and Reliability Seminar 2023
• Strony: 47--57
• Opis fizyczny: Bibliogr. 57 poz.

Twórcy

autor

Dąbrowska Ewa

• Gdynia Maritime University, Gdynia, Poland

• https://orcid.org/0000-0002-6704-9541

autor

Dąbrowski Maciej

• Centre of Informatics Tricity Academic Supercomputer and networK - CI TASK, Gdańsk, Poland

• https://orcid.org/0000-0002-8308-9156

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).