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A Method of Constructing Marine Oil Spill Scenarios from Flat Text Based on Semantic Analysis

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  • Kui Huang

    (School of Geodesy and Geomatics, Wuhan University, Wuhan 420100, China)

  • Wen Nie

    (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 420100, China)

  • Nianxue Luo

    (School of Geodesy and Geomatics, Wuhan University, Wuhan 420100, China)

Abstract

Constructed emergency response scenarios provide a basis for decision makers to make management decisions, and the development of such scenarios considers earlier historical cases. Over the decades, the development of emergency response scenarios has mainly implemented the elements of historic cases to describe the grade and influence of an accident. This paper focuses on scenario construction and proposes a corresponding framework based on natural language processing (NLP) using text reports of marine oil spill accidents. For each accident, the original textual reports are first divided into sentence sets corresponding to the temporal evolution. Each sentence set is regarded as a textual description of a marine oil spill scenario. A method is proposed in this paper, based on parsing, named entity recognition (NER) and open information extraction (OpenIE) to process the relation triples that are extracted from the sentence sets. Finally, the relation triples are semantically clustered into different marine oil spill domains to construct scenarios. The research results are validated and indicate that the proposed scenario construction framework can be effectively used in practical applications.

Suggested Citation

  • Kui Huang & Wen Nie & Nianxue Luo, 2020. "A Method of Constructing Marine Oil Spill Scenarios from Flat Text Based on Semantic Analysis," IJERPH, MDPI, vol. 17(8), pages 1-17, April.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:8:p:2659-:d:344970
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    References listed on IDEAS

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    1. Chao Bao & Dongmei He, 2019. "Scenario Modeling of Urbanization Development and Water Scarcity Based on System Dynamics: A Case Study of Beijing–Tianjin–Hebei Urban Agglomeration, China," IJERPH, MDPI, vol. 16(20), pages 1-19, October.
    2. Wang, Ke & Wang, Can & Lu, Xuedu & Chen, Jining, 2007. "Scenario analysis on CO2 emissions reduction potential in China's iron and steel industry," Energy Policy, Elsevier, vol. 35(4), pages 2320-2335, April.
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    Cited by:

    1. Pengxia Zhao & Tie Li & Biao Wang & Ming Li & Yu Wang & Xiahui Guo & Yue Yu, 2022. "The Scenario Construction and Evolution Method of Casualties in Liquid Ammonia Leakage Based on Bayesian Network," IJERPH, MDPI, vol. 19(24), pages 1-22, December.

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