Yaru Li

Dr. Yaru Li


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2021 in Acta Oceanologica Sinica
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SGSong Gao
Song Gao
JHJuan Huang
Juan Huang
YLYaru Li
Yaru Li
GLGuiyan Liu
Guiyan Liu
FBFan Bi
Fan Bi
ZBZhipeng Bai
Zhipeng Bai

Verified
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Open access
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LZLin Zhou
Lin Zhou
WHWei Hu
Wei Hu
ZJZhen Jia
Zhen Jia
XLXinfang Li
Xinfang Li
YLYaru Li
Yaru Li
QGQingsheng Guo
Qingsheng Guo
For improved prevention and reduction of marine disasters, China’s marine authorities and emergency response agencies require a solution that provides risk assessment, early warning, and decision-making support. This paper proposes a comprehensive approach to disaster assessment that involves automated long-term operation, a spatial information visualization method and systematic integration. The proposed approach provides functions for numerical ocean models with forecast results, automated processing of massive data, multiple disaster/element coupled assessment, and multidimensional display and expression. With regard to storm surge disasters, the approach proposed in this paper adopts a four-tier structure and the functions of each tier are described separately. The original data are comprised of a combination of statistical analysis data and real-time data obtained from the unstructured grid Finite Volume Community Ocean Model. Automated data processing methods and assessment theories incorporating an indicator system and weighted parameters are used for the assessment. By applying 2D/3D visualization technology, assessment results are displayed via several modes for ease of operation and comprehension. The validity of the approach was verified by applying it to Typhoon Hato (No. 1713). Compared with the results of the post-disaster investigation, the assessment results of the proposed approach proved the reliability of the system.