日本地球惑星科学連合2023年大会

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[E] 口頭発表

セッション記号 H (地球人間圏科学) » H-TT 計測技術・研究手法

[H-TT14] Geographic Information Systems and Cartography

2023年5月24日(水) 09:00 〜 10:15 201A (幕張メッセ国際会議場)

コンビーナ:小口 高(東京大学空間情報科学研究センター)、若林 芳樹(東京都立大学大学院都市環境科学研究科)、Yuei-An Liou(National Central University)、王 汝慈(千葉大学環境リモートセンシング研究センター)、座長:小口 高(東京大学空間情報科学研究センター)、王 汝慈(千葉大学環境リモートセンシング研究センター)


09:15 〜 09:30

[HTT14-02] An Integrated GIS and Bigdata Platform for Meteorological Disaster Risk Management

★Invited Papers

*YING LI1GE GAO1 (1.Beijing Climate Center)

キーワード:Meteorological disaster, Risk management, GIS

China is one of the countries with the most serious meteorological disasters in the world. Reducing disaster losses and mitigating disaster risks is an important element to improve social governance and enhance people's welfare, and it is also the fundamental goal of meteorological services. As a non-engineering measure for disaster prevention and mitigation, the meteorological disaster risk management system (MDRMS) provides users with a basis for decision making and is one of the most effective tools for mitigating meteorological disaster risks. In order to effectively reduce the risk of meteorological disasters and meet the urgent needs of service, National Climate Center has designed and built MDRMS. MDRMS provides decision-makers and other stakeholders with professional services with four sub-systems: big data application sub-system, model algorithm sub-system, online analysis sub-system, and comprehensive operation sub-system.
From the view of application and function, MDRMS realizes the functions of disaster monitoring and identification, disaster impact assessment, risk assessment, risk prediction, risk zoning, and disaster information services, for the main meteorological disasters such as rainstorm, typhoon, drought, high temperature and low temperature. A product system for meteorological disaster risk management has been preliminarily established.
From the view of design and construction, the key technologies adopted are generic and the operation is visual and friendly. The system has been built by the key technologies such as big data fusion based on Spatial-temporal matching, Web-GIS, distributed spatial data storage, micro service, and multi-tenant. The application of new technologies significantly improves the access efficiency and application capability of the system to multi-source, heterogeneous and massive data related to meteorology disaster risk management and enhances the user experience.
From the view of deployment and open, MDRMS has better integration, openness and scalability. It is deployed in China Meteorological Administration, which can realize access, personalized configuration and service customization for internal users at four levels: national, provincial, municipal and county levels, as well as access for external users at some product levels.
The implementation of MDRMS shows that it has good operational capability and development prospect, which promotes the objective development of meteorological disaster risk management operation and enhances disaster prevention and mitigation decision-making service capability.