| Staff |  Professor: Yoshiyuki IMAMURA |  Assistant Professor: Hideo AMAGUCHI |
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Research Interests
Water issues and disaster risk reduction are closely linked with most SDGs including SDG6 and SDG11. Natural disasters have occurred all over the world, and the economic damage has reached 3.5 trillion dollars (about 400 trillion yen) and the death toll has reached 2.3 million in the past 30 years. The damage continues to increase further due to population growth, urbanization, and climate change. The international organizations such as UNESCO, the World Bank, the Asian Development Bank, and JICA are addressing to reduce this damage, especially in developing countries, because disaster risk reduction is a foundation of their social and economic development. Japan has recently launched a new initiative,‘River Basin Disaster Resilience and Sustainability by All.’
Under these contexts, we are leading the research and development on the following themes using cutting-edge technologies including AI and advanced analysis models in collaboration with international organizations, governmental agencies, private sectors, other universities, and research institutes:
- Development of risk assessment methods supporting ‘River Basin Disaster Resilience and Sustainability by All.’
- Development of green infrastructure technologies for disaster resilience and sustainability.
- Policy analysis and technological development on integrated water resources management, integrated flood risk management, and disaster risk management from the natural, social, and economic aspects.
Titles of master theses and doctoral dissertations
| 2018 | 1.”*Basic study on spatio-temporal and runoff analysis of torrential rainfall in urban watershed using X-band MP radar 2.”*Basic study on sustainability assessment of groundwater resources in Hanoi, Vietnam 3.Study on torrential rainfall characteristics contributing to the improvement of small and medium rivers in Tokyo 4.Numerical solution and model parameter characteristics of Urban Storage Function model 5.Study on reproducibility of virtual hydrograph by random forest method 6.Study on the effect of pumping reduction in Musashino Plateau by groundwater simulation |
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| 2017 | 1.Construction and evaluation of sewer pipe network in Zenpukuji River watershed using road network 2.Spatio-temporal characteristics and runoff analysis of heavy rain in urban small and medium river basins using X-band MP radar 3.Study on hourly evapotranspiration model of urban basin using the landscape GIS and its application 4.Study on safety degree against flood of small and medium rivers in Tokyo using water level flow curve by water surface gradient 5.Study on block division for inundation analysis using 1/2500 digital map |
| 2016 | 1.Construction of sewer pipe network from road polygon 2.Study on storm runoff model considering roof rainwater drainage system for a small urban watershed in Sweden 3.Parameter identification of urban storage function model using evolutionary computation method 4.Groundwater flow simulation in Musashino plateau using GETFLOWS |
*: Doctoral dissertation
Titles of bachelor theses
| 2018 | 1.Flood runoff and inundation risk assessment in the upper Kanda River watershed using NHRCM 5km rainfall data 2.Social background of the Metropolitan Expressway taken over the Nihonbashi river 3.Barrier analysis for integrated flood risk management in Metro Manila, Philippines using ISM method 4.Genarating and characteristics of virtual hyetograph for small and medium sized rivers in Tokyo |
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| 2017 | 1.Sustainability assessment based on social assessment criteria for groundwater resources in Hanoi, Vietnam 2.Evaluation of pumping control effect in Musashino plateau by groundwater flow simulation 3.Study on river improvement considering the river environment in Shakujii River 4.Field survey and evaluation of characteristics of landslide disasters in Tama area |
| 2016 | 1.Analytical rainfall characteristics in Tokyo 2.Environmental sustainability assessment of groundwater resources in Hanoi, Vietnam 3.Groundwater flow simulation by GETFLOWS 4.Spatio-temporal characteristics of heavy rianfall focusing on each observation in the Upper Kanda River watershed |