期刊论文详细信息
Data Science Journal
Data Integration and Analysis System (DIAS) Contributing to Climate Change Analysis and Disaster Risk Reduction
Toshio Koike1  Akiyuki Kawasaki2  Petra Koudelova2  Ralph Acierto3  Toshihiro Nemoto3  Akio Yamamoto3  Masaru Kitsuregawa3 
[1] and National Institute of Informatics, Tokyo;Department of Civil Engineering, The University of Tokyo, Tokyo;Institute of Industrial Science, The University of Tokyo, Tokyo;
关键词: Climate change;    Disaster risk reduction;    Integration;    DIAS;    CMIP;    Myanmar;   
DOI  :  10.5334/dsj-2017-041
来源: DOAJ
【 摘 要 】

In 2015, global attempts were made to reconcile the relationship between development and environmental issues. This led to the adoption of key agreements such as the Sustainable Development Goals. In this regard, it is important to identify and evaluate under-recognized disaster risks that hinder sustainable development: measures to mitigate climate change are the same as those that build resilience against climate-related disasters. To do this we need to advance scientific and technical knowledge, build data infrastructure that allows us to predict events with greater accuracy, and develop data archives. For this reason we have developed the Data Integration and Analysis System (DIAS). DIAS incorporates analysis, data and models from many fields and disciplines. It collects and stores data from satellites, ground observation stations and numerical weather prediction models; integrates this data with geographical and socio-economic information; then generates results for crisis management of global environmental issues. This article gives an overview of DIAS and summarizes its application to climate change analysis and disaster risk reduction. As the article shows, DIAS aims to initiate cooperation between different stakeholders, and contribute to the creation of scientific knowledge. DIAS provides a model for sharing transdisciplinary research data that is essential for achieving the goal of sustainable development.

【 授权许可】

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