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Disaster Prevention Technology and Policy Lab
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The lab reduces flood risk through both technology and policy.

AboutAbout the lab
Reducing water disaster risk through technology and policy
The Disaster Prevention Technology and Policy Lab conducts research to reduce the risk of water disasters such as floods and inundation.
Based on hydrology, the lab models the whole process from rain falling on mountains, to its runoff into rivers, to its overflow into towns.
The lab also studies how climate change will alter disasters, and how land use and the way recovery is carried out affect risk.
The technologies the lab develops are used in the field by local governments and national government, and the knowledge gained there is fed back into research.
Key terms
- Hydrology
- The study of how water moves around the Earth, including rain, rivers, and groundwater
- Rainfall-Runoff-Inundation (RRI) model
- A model that calculates, in one continuous process, how rainfall runs off into rivers and how water overflows from rivers and spreads
- Extreme value statistics
- A statistical method for estimating from past records how likely rare, large events are to occur
NewsLab news
A book co-authored by the associate professor is published by Elsevier
A master's student receives the Excellent Presentation Award at the Disaster Prevention Research Institute Research Presentation Meeting
A student receives the Excellent Presentation Award at the Disaster Prevention Research Institute Research Presentation Meeting
ResearchResearch themes
The lab advances research on reducing water disaster risk from both technology and policy sides. While modeling the mechanisms of rainfall runoff and flood inundation, it also captures the social factors that shape risk through field surveys.
*Illustrative imageAdvancing flood prediction and its applications
Through field observations and theoretical analysis, the lab clarifies how heavy rain falling on mountains runs off into rivers. By applying the Rainfall-Runoff-Inundation (RRI) model nationwide, the lab has achieved real-time flood prediction that includes small and medium-sized rivers.
*Illustrative imageAssessing the impacts of climate change
To predict how the frequency and scale of water disasters will change in the future, the lab develops methods themselves, such as bias correction and multivariate extreme value statistics.
*Illustrative imageWater disasters and society
Focusing on rural areas in the Philippines, peatlands in Indonesia, and disaster recovery in Brazil, the lab examines the relationship between water disasters and society through field surveys and questionnaires.
MembersFaculty
The members of the Disaster Prevention Technology and Policy Lab are faculty members, researchers, doctoral, master's, and undergraduate students, research students, and administrative secretaries.As of 2026
- ProfessorTakahiro Sayama
- Associate ProfessorTomohiro Tanaka
- LecturerLAHOURNAT Florence
- Program-Specific Assistant ProfessorYAMAMOTO Eva Mia Siska
- Program-Specific Assistant ProfessorKodai Yamamoto
- Project Assistant ProfessorYoshito Sugawara
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Yellowstone flood event 2022 swollen Lamar River and Lamar Valley ( )” Yellowstone National Park / Public domain (cropped)
- Advancing flood prediction and its applications: “Mountain Stream (Tiadaghton State Forest)” Nicholas_T / CC0 (cropped)
- Assessing the impacts of climate change: “Würfel” Dietmar Rabich / CC BY-SA 4.0 (cropped)
- Water disasters and society: “Water village Brunei. ( )” Bernard Spragg. NZ from Christchurch, New Zealand / CC0 (cropped)
- Related lab (放射性廃棄物管理 (複合原子力科学研究所)): “Dry Storage of Spent Nuclear Fuel ( )” Nuclear Regulatory Commission from US / CC BY 2.0 (cropped)
- Related lab (放射能環
境動態工学(複合原子力科学研究所)): “Radioactive contamination monitor EKO-C” Łukasz Karolewski / CC BY-SA 4.0 (cropped) - Related lab (水文気象工学): “Large cloud over Mexican landscape” Tomascastelazo / CC BY-SA 4.0 (cropped)
- Related lab (自然・社会環境防災計画学): “Upper Marikina River Basin Protected Landscape dammed by Wawa Dam” Arius1998 / CC BY-SA 4.0 (cropped)
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