A dynamic data-driven application simulation model for oil spill emergency decision in port water area

A dynamic data-driven application simulation model for oil spill emergency decision in port water area

In order to solve the difficulty in simulation and prediction the evolution of oil spill incidents in port water area caused by system complexity and environment variety, a simulation model based on Dynamic Data-Driven Application System (DDDAS) was developed. By assimilating real-time data, simula...

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Bibliographic Details
Main Authors: Qingcheng Zeng, Qian Zhang, Zhongzhen Yang
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2015-12-01
Series:Transport
Subjects:
dynamic data-driven
oil spill
emergency management
simulation
port
Online Access:https://journals.vgtu.lt/index.php/Transport/article/view/1676
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spelling doaj-cf1f14f9f247422ca791e0987ebb98872021-07-02T01:23:26ZengVilnius Gediminas Technical UniversityTransport1648-41421648-34802015-12-0130410.3846/16484142.2013.818056A dynamic data-driven application simulation model for oil spill emergency decision in port water areaQingcheng Zeng0Qian Zhang1Zhongzhen Yang2School of Transport Management, Dalian Maritime University, ChinaSchool of Transport Management, Dalian Maritime University, ChinaSchool of Transport Management, Dalian Maritime University, China In order to solve the difficulty in simulation and prediction the evolution of oil spill incidents in port water area caused by system complexity and environment variety, a simulation model based on Dynamic Data-Driven Application System (DDDAS) was developed. By assimilating real-time data, simulation model can update its initial condition and solutions, and modify its parameters. Firstly, the framework for DDDAS-based simulation model was designed. Then the method for mapping of real-time data to simulation model, the method for recovery of initial data for DDDAS, and the algorithms to simulate the behavior of oil spill were studied. Finally, numerical tests were provided to illustrate the validity of the proposed model. Results indicate that the DDDAS-based simulation method can improve the prediction accuracy of oil spill incidents. First published online: 16 Oct 2013 https://journals.vgtu.lt/index.php/Transport/article/view/1676dynamic data-drivenoil spillemergency managementsimulationport
collection DOAJ
language English
format Article
sources DOAJ
author Qingcheng Zeng
Qian Zhang
Zhongzhen Yang
spellingShingle Qingcheng Zeng
Qian Zhang
Zhongzhen Yang
A dynamic data-driven application simulation model for oil spill emergency decision in port water area
Transport
dynamic data-driven
oil spill
emergency management
simulation
port
author_facet Qingcheng Zeng
Qian Zhang
Zhongzhen Yang
author_sort Qingcheng Zeng
title A dynamic data-driven application simulation model for oil spill emergency decision in port water area
title_short A dynamic data-driven application simulation model for oil spill emergency decision in port water area
title_full A dynamic data-driven application simulation model for oil spill emergency decision in port water area
title_fullStr A dynamic data-driven application simulation model for oil spill emergency decision in port water area
title_full_unstemmed A dynamic data-driven application simulation model for oil spill emergency decision in port water area
title_sort dynamic data-driven application simulation model for oil spill emergency decision in port water area
publisher Vilnius Gediminas Technical University
series Transport
issn 1648-4142
1648-3480
publishDate 2015-12-01
description In order to solve the difficulty in simulation and prediction the evolution of oil spill incidents in port water area caused by system complexity and environment variety, a simulation model based on Dynamic Data-Driven Application System (DDDAS) was developed. By assimilating real-time data, simulation model can update its initial condition and solutions, and modify its parameters. Firstly, the framework for DDDAS-based simulation model was designed. Then the method for mapping of real-time data to simulation model, the method for recovery of initial data for DDDAS, and the algorithms to simulate the behavior of oil spill were studied. Finally, numerical tests were provided to illustrate the validity of the proposed model. Results indicate that the DDDAS-based simulation method can improve the prediction accuracy of oil spill incidents. First published online: 16 Oct 2013
topic dynamic data-driven
oil spill
emergency management
simulation
port
url https://journals.vgtu.lt/index.php/Transport/article/view/1676
work_keys_str_mv AT qingchengzeng adynamicdatadrivenapplicationsimulationmodelforoilspillemergencydecisioninportwaterarea
AT qianzhang adynamicdatadrivenapplicationsimulationmodelforoilspillemergencydecisioninportwaterarea
AT zhongzhenyang adynamicdatadrivenapplicationsimulationmodelforoilspillemergencydecisioninportwaterarea
AT qingchengzeng dynamicdatadrivenapplicationsimulationmodelforoilspillemergencydecisioninportwaterarea
AT qianzhang dynamicdatadrivenapplicationsimulationmodelforoilspillemergencydecisioninportwaterarea
AT zhongzhenyang dynamicdatadrivenapplicationsimulationmodelforoilspillemergencydecisioninportwaterarea
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