Integrated Visualization Approach for Real-Time and Dynamic Assessment of Storm Surge Disasters for China’s Seas
Bibliographic Data
| ID | 22031998 |
|---|---|
| Authors | Lin Zhou (0000-0002-6428-7392, Ministry of Natural Resources), Wei Hu (0000-0003-1255-9453, Marine Biology Institute of Shandong Province), Zhen Jia (0000-0002-1496-8149, Ministry of Natural Resources), Xinfang Li (0000-0003-4910-6976, Ministry of Natural Resources), Yaru Li (0000-0001-5711-6416, Marine Biology Institute of Shandong Province), Tianyun Su (Ministry of Natural Resources), Guo Qingsheng (0000-0001-5863-1946, Wuhan University, corresponding author) |
| Year | 2020 |
| Volume | 9 |
| Issue | 1 |
| Pages | 51 |
| Publication date | 2020-01-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi9010051 |
| OpenAlex | W2998945619 |
| Language | EN |
| Citations received | 1 |
| References cited | 21 |
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
Data mining · Emergency management · Geography · Meteorology · Operations research · Storm · Storm surge · Typhoon · Visualization · Warning system · Computer Science · Engineering · Oceanographic and Atmospheric Processes · Tropical and Extratropical Cyclones Research
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,2 |
| Citation span | 2021 - 2021 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |