Research
By integrating data from satellite- and ground-based Earth observations and outputs from climate and numerical weather prediction models with geographical and socio-economic information, we investigate water cycle variations and its possible future changes and provide vital information for integrated water resources management practices including efficient water usage as well as mitigation of water-related disasters. Using DIAS, we create a data integration platform to combine hydrological models with data and models from various fields such as disasters, urban planning, and economics. We aim to develop assessment methods for large-scale water hazard and countermeasures on disaster emergency response, and demonstrate pilot studies that provide sound information for solutions.
Goals
By development of data and model integration for water cycle and water related fields, data share in both natural science and social science fields as well as interdisciplinary research will be facilited. We aim to initiate cooperation with various stakeholders such as government and public sectors and create scientific knowledge to support their decision making and planning. We will contribute to foster creation of an environment where such knowledge can be widely shared. At the same time, we hope to promote sustainable development based on scientific evidences and operational implementation in society for disaster prevention.
Research Collaboration
- Risk Assessment of Larch-scale Floods & Countermeasures
- Developing Water-related Disaster Resilience System in Developing Countries
- Water and Energy Budget-based Distributed Hydrological Model (WEB-DHM)
Members
Exploring new practical research fields by promoting multi-disciplinary research and conducting surveys and research for supporting decision-making process, problem solving, and addressing water-related social issues. Creating an academic platform supporting inter- disciplinary (among academics) and trans-disciplinary (between academics and society) cooperation in the water cycle and water-related fields.
Akiyuki KAWASAKI, Project Professor
Download Poster
You can download our research poster in PDF format.
Integratedly analyzing data from satellite- and ground-based earth observations, outputs from climate and numerical weather prediction models, and geospatial and socio-economic information. Based on that, providing vital information for water-related disaster management and adaptation to climate change as well as efficient water usage. Creating a data integration platform on DIAS to combine hydrological data and models with data and models from various fields such as disasters, urban planning, and economics. Developing supporting methods for water-related disaster rick reduction and emergency response, and demonstrating pilot studies.
Koji Ikeuchi, Professor
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