Abstract

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.

Highlights

  • In the current context of global warming and rising sea level, marine disasters caused by natural events such as storm surges, huge waves, sea ice, and tsunamis are occurring with increasing frequency and having greater impact on coastal countries worldwide

  • It is very important to study the prediction and assessment of storm surge disasters, and to construct a real-time, dynamic, automated system designed as a “one-click” operation through an Internet web browser for use by the public or the government

  • A comprehensive and automatic assessment system is required that is capable of providing functions for numerical ocean models with forecast results, automated processing of massive data, multiple disaster/element coupled assessment, and multidimensional display and expression

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Summary

Introduction

In the current context of global warming and rising sea level, marine disasters caused by natural events such as storm surges, huge waves, sea ice, and tsunamis are occurring with increasing frequency and having greater impact on coastal countries worldwide. Based on the above research, increasingly advanced systems have been applied to marine and coastal disaster response and regional layout optimization These systems play a significant role in disaster prevention and decision-making processes [29,30,31]. Current capabilities regarding early warning and risk assessment of marine disasters, which are important elements in reducing marine disaster risks, remain far below the levels required, especially in high-risk areas and given recent coastal socioeconomic development. For optimal assessment of storm surge disasters, a system that incorporates all the core elements is required These include numerical models, operational oceanography, disaster assessment, dynamic visualization, and online real-time calculation. We propose the integration of all the elements mentioned above and aim to provide a convenient online system that enables public users and government officials to perform rapid assessment of storm surge disaster risk

Architecture
Storm Surge Model
Indicator and Weighting Management
Disaster Assessment Tier
Visualization Tier
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