YAMAZAKI Dai Associate Professor - Institute of Industrial Science, the University of Tokyo

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YAMAZAKI Dai Associate Professor

Special Field of Study

Global Hydrology

Departments and Research Centers

Department of Human and Social Systems

Open Engineering Center

Global Hydrological Prediction Center

Educational Systems

Civil Engineering : Graduate School of Engineering

Posters

Keywords

Climate Change, Flood Risk, Geo-big-data, Remote Sensing, Numerical Modelling

Related Articles

Avoiding static land surface models: improvements in simulating water–energy–vegetation dynamics

Researchers from #UTokyo_IIS consider waterflows and vegetation mosaic on hillslopes for accurate simulation of land surface water and energy status across Africa

Is Flooding Under Climate Change More Predictable Than We Thought?

To improve accuracy of projected flood risks under climate change, #UTokyo_IIS researchers propose a new method merging data from multiple climate change scenarios based on specific warming levels.

Finding Where the Grass is Greener

Researchers at #UTokyo_IIS enhance land surface maps to identify sloping landscapes in which vegetation changes are associated with slight elevation and water gradients.

Mapping Floods of the Future Reveals Communities at Risk due to Climate Change

Researchers from #UTokyo_IIS find a new approach to successfully identify areas at risk of flooding that can be missed by historical hazard maps.

Earlier flood forecasting could help avoid disaster in Japan

Researchers from The University of Tokyo Institute of Industrial Science develop a flood forecasting system that could help protect people and property during typhoons

Flood risk uncertainties assessed at the global scale

Researchers from the Institute of Industrial Science, The University of Tokyo calculate sources of uncertainty in flood risks to improve global flood predictions

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