Intelligent decision support for marine oil spill response in harsh environments

恶劣环境下海上溢油应急响应智能决策支持

基本信息

  • 批准号:
    RGPIN-2020-05002
  • 负责人:
  • 金额:
    $ 6.41万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2021
  • 资助国家:
    加拿大
  • 起止时间:
    2021-01-01 至 2022-12-31
  • 项目状态:
    已结题

项目摘要

Marine oil spills (e.g., 2010 BP spill) can not only cause significantly negative impacts on the environment and socio-economy but constitute a long-term hazard to marine life and human health. The response to a spill is a time-sensitive, dynamic, multifaceted and complex process, depending on various factors e.g., oil quantity/properties, location, environmental conditions, response resources, and human judgement/behaviours. The success much relies on how efficiently and effectively the information and resources can be utilized and how optimally and quickly the decision and actions can be made. It is further challenged by harsh marine environments (low temperature, rough sea, sea ice, etc.) prevailing in Canadian offshore areas such as the Arctic/Northern Atlantic oceans. The response window of opportunity is very short due to technical/logistic difficulties, safety, and rapid oil movement. This has been evidenced by three recent spills in Newfoundland offshore. Thus, dynamic and efficient response decision support is much desired but still lacking of research and practice. Furthermore, human factors/errors contribute 60-80% in spill accidents but without good understating of their effects on spill response. Therefore, the research is to help address these challenges by developing an intelligent Marine Oil Spill response Decision Support System (iMOS-DSS) for harsh environments with focuses on: 1) comprehensive review and development of marine oil spill i-Base (oil/spill databases and a response knowledge base); 2) intelligent agent and human factor analysis aided spill simulation; 3) deep learning aided response process simulation-optimization coupling supported by decanting experiments (skimming, separation, treatment, and disposal); 4) artificial intelligence aided marine oil spill response decision support; and 5) virtual reality aid visualization for marine oil spill response decision making. The most commonly used response option (and only legally allowed in Canada), decanting process, will be mainly targeted for lab experiment to support process simulation and optimization work. System validation and evaluation will be further conducted via local spill responders' classroom and at-sea training exercises in NL. The proposed program will 1) produce new/advanced knowledge and methodologies to address urgent needs in improving response capabilities in Canada and beyond; 2) enrich and improve the theories and technologies of environmental emergency management and decision making in general; 3) train next-generation professionals and researchers through a cross-disciplinary, equitable, diverse and inclusive (EDI) research/training environment; 4) help position my group and university globally in marine oil spill research to expand international collaborations/impacts and apply the outcomes worldwide; and 5) bring significant short-/long-term benefits by supporting responsible development of industry and protecting our marine environments.
海洋石油泄漏(例如,2010年英国石油公司泄漏)不仅会对环境和社会经济造成重大负面影响,而且会对海洋生物和人类健康构成长期危害。对漏油的反应是一个时间敏感、动态、多方面和复杂的过程,取决于各种因素,例如石油数量/性质、位置、环境条件、反应资源和人的判断/行为。成功在很大程度上取决于如何有效地利用信息和资源,以及如何以最佳和快速的方式做出决策和采取行动。恶劣的海洋环境(低温、波涛汹涌的海面、海冰等)进一步挑战着它。流行于加拿大近海地区,如北冰洋/北大西洋。由于技术/后勤困难、安全和快速的石油流动,响应机会窗口非常短。纽芬兰近海最近发生的三起漏油事件就证明了这一点。因此,动态、高效的响应决策支持是迫切需要的,但仍缺乏研究和实践。此外,人为因素/错误在泄漏事故中占60%-80%,但没有很好地低估其对泄漏响应的影响。因此,本研究旨在通过开发一个适用于恶劣环境的智能海洋溢油响应决策支持系统(IMOS-DSS)来帮助应对这些挑战,其重点是:1)全面审查和开发海洋溢油I-Base(溢油/溢油数据库和响应知识库);2)智能代理和人为因素分析辅助溢油模拟;3)深度学习辅助响应过程模拟-由醒水实验(撇油、分离、处理和处置)支持的优化耦合;4)人工智能辅助海洋溢油响应决策支持;5)虚拟现实辅助海洋溢油响应决策。最常用的响应选项(仅在加拿大法律上允许),倾析工艺,将主要针对实验室实验,以支持工艺模拟和优化工作。系统验证和评估将通过当地漏油应急人员的课堂和在NL的海上培训演习进一步进行。拟议的计划将1)产生新的/先进的知识和方法,以满足加拿大及其他地区在提高应对能力方面的迫切需求;2)丰富和改进环境应急管理和决策的理论和技术;3)通过跨学科、公平、多样化和包容性的(EDI)研究/培训环境,培养下一代专业人员和研究人员;4)帮助我的团队和大学在全球海洋漏油研究方面定位,以扩大国际合作/影响,并将成果应用于世界各地;5)通过支持负责任的行业发展和保护我们的海洋环境,带来重大的短期/长期利益。

项目成果

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Chen, Bing其他文献

Overnutrition Induced Cognitive Impairment: Insulin Resistance, Gut-Brain Axis, and Neuroinflammation.
营养诱导的认知障碍:胰岛素抵抗,肠脑轴和神经炎症。
  • DOI:
    10.3389/fnins.2022.884579
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Zhang, Qin;Jin, Kangyu;Chen, Bing;Liu, Ripeng;Cheng, Shangping;Zhang, Yuyan;Lu, Jing
  • 通讯作者:
    Lu, Jing
Light absorption enhancement of black carbon from urban haze in Northern China winter
  • DOI:
    10.1016/j.envpol.2016.12.004
  • 发表时间:
    2017-02-01
  • 期刊:
  • 影响因子:
    8.9
  • 作者:
    Chen, Bing;Bai, Zhe;Gustafsson, Orjan
  • 通讯作者:
    Gustafsson, Orjan
Establishing the Structural Integrity of Core-Shell Nanoparticles against Elemental Migration using Luminescent Lanthanide Probes
使用发光镧系元素探针确定核壳纳米颗粒的结构完整性以防止元素迁移
Retraction Note to: LncRNA BCRT1 promotes breast cancer progression by targeting miR-1303/PTBP3 axis.
  • DOI:
    10.1186/s12943-022-01576-y
  • 发表时间:
    2022-06-17
  • 期刊:
  • 影响因子:
    37.3
  • 作者:
    Liang, Yiran;Song, Xiaojin;Li, Yaming;Chen, Bing;Zhao, Wenjing;Wang, Lijuan;Zhang, Hanwen;Liu, Ying;Han, Dianwen;Zhang, Ning;Ma, Tingting;Wang, Yajie;Ye, Fangzhou;Luo, Dan;Li, Xiaoyan;Yang, Qifeng
  • 通讯作者:
    Yang, Qifeng
Hif-1α/Slit2 Mediates Vascular Smooth Muscle Cell Phenotypic Changes in Restenosis of Bypass Grafts.
  • DOI:
    10.1007/s12265-023-10384-8
  • 发表时间:
    2023-10
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Li, Sen;Gao, Zhiwei;Li, Haiqing;Xu, Chang;Chen, Bing;Zha, Qing;Yang, Ke;Wang, Weilin
  • 通讯作者:
    Wang, Weilin

Chen, Bing的其他文献

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{{ truncateString('Chen, Bing', 18)}}的其他基金

Intelligent decision support for marine oil spill response in harsh environments
恶劣环境下海上溢油应急响应智能决策支持
  • 批准号:
    RGPIN-2020-05002
  • 财政年份:
    2022
  • 资助金额:
    $ 6.41万
  • 项目类别:
    Discovery Grants Program - Individual
NSERC CREATE training program in Persistent, Emerging, and Oil PoLlution in cold marine Environments (PEOPLE CREATE)
NSERC CREATE 寒冷海洋环境中持续性、新兴和石油污染培训计划 (PEOPLE CREATE)
  • 批准号:
    528169-2019
  • 财政年份:
    2021
  • 资助金额:
    $ 6.41万
  • 项目类别:
    Collaborative Research and Training Experience
Intelligent decision support for marine oil spill response in harsh environments
恶劣环境下海上溢油应急响应智能决策支持
  • 批准号:
    RGPIN-2020-05002
  • 财政年份:
    2020
  • 资助金额:
    $ 6.41万
  • 项目类别:
    Discovery Grants Program - Individual
NSERC CREATE training program in Persistent, Emerging, and Oil PoLlution in cold marine Environments (PEOPLE CREATE)
NSERC CREATE 寒冷海洋环境中持续性、新兴和石油污染培训计划 (PEOPLE CREATE)
  • 批准号:
    528169-2019
  • 财政年份:
    2020
  • 资助金额:
    $ 6.41万
  • 项目类别:
    Collaborative Research and Training Experience
NSERC CREATE training program in Persistent, Emerging, and Oil PoLlution in cold marine Environments (PEOPLE CREATE)
NSERC CREATE 寒冷海洋环境中持续性、新兴和石油污染培训计划 (PEOPLE CREATE)
  • 批准号:
    528169-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 6.41万
  • 项目类别:
    Collaborative Research and Training Experience
Risk-based multi-agent simulation-optimization approaches for spill response management (RMASOS) in harsh environments
恶劣环境下基于风险的多主体模拟优化泄漏响应管理 (RMASOS) 方法
  • 批准号:
    RGPIN-2014-05345
  • 财政年份:
    2019
  • 资助金额:
    $ 6.41万
  • 项目类别:
    Discovery Grants Program - Individual
Risk-based multi-agent simulation-optimization approaches for spill response management (RMASOS) in harsh environments
恶劣环境下基于风险的多主体模拟优化泄漏响应管理 (RMASOS) 方法
  • 批准号:
    RGPIN-2014-05345
  • 财政年份:
    2018
  • 资助金额:
    $ 6.41万
  • 项目类别:
    Discovery Grants Program - Individual
vEER: A Visualization Platform for Environmental Emergency Response Decision Support
vEER:环境应急响应决策支持可视化平台
  • 批准号:
    RTI-2019-00337
  • 财政年份:
    2018
  • 资助金额:
    $ 6.41万
  • 项目类别:
    Research Tools and Instruments
Risk-based multi-agent simulation-optimization approaches for spill response management (RMASOS) in harsh environments
恶劣环境下基于风险的多主体模拟优化泄漏响应管理 (RMASOS) 方法
  • 批准号:
    RGPIN-2014-05345
  • 财政年份:
    2017
  • 资助金额:
    $ 6.41万
  • 项目类别:
    Discovery Grants Program - Individual
The National Workshop on Persistent and Emerging Organic Pollution in Cold and Coastal Environments (PEOPLE)
寒冷和沿海环境中持续性和新兴有机污染国家研讨会 (PEOPLE)
  • 批准号:
    514943-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 6.41万
  • 项目类别:
    Connect Grants Level 3

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