Data Integration and Analysis System (DIAS) Contributing to Climate Change Analysis and Disaster Risk Reduction

Authors

  • Akiyuki Kawasaki Department of Civil Engineering, The University of Tokyo, Tokyo
  • Akio Yamamoto Institute of Industrial Science, The University of Tokyo, Tokyo
  • Petra Koudelova Department of Civil Engineering, The University of Tokyo, Tokyo
  • Ralph Acierto Institute of Industrial Science, The University of Tokyo, Tokyo
  • Toshihiro Nemoto Institute of Industrial Science, The University of Tokyo, Tokyo
  • Masaru Kitsuregawa Institute of Industrial Science, The University of Tokyo, Tokyo; and National Institute of Informatics, Tokyo
  • Toshio Koike Department of Civil Engineering, The University of Tokyo, Tokyo; and International Centre for Water Hazard and Risk Management (ICHARM), Tsukuba

DOI:

https://doi.org/10.5334/dsj-2017-041

Keywords:

Climate change, Disaster risk reduction, Integration, DIAS, CMIP, Myanmar

Abstract

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.

Author Biography

Akiyuki Kawasaki, Department of Civil Engineering, The University of Tokyo, Tokyo

Kawasaki is Associate Professor of civil engineering, and also a core member of development team of the Data Integration and Analysis System (DIAS) that is a leading global environmental Big Data project in Japan. His study focus is the development of problem-solving techniques and methods for disaster risk reduction and poverty eradication. Using DIAS, he integrates various DRR data and information from satellite and in-situ observation, statistics and field survey, and models and analyzes the relationship between natural environment and human society, especially in water-related disaster issues. He has 18 years experience of GIS analysis and database development.

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Published

2017-09-04

Issue

Vol. 16 (2017)

Section

Practice Papers

Categories

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