|Department of Architecture and Civil Engineering
|Research Center for Agrotechnology and Biotechnology
Research Center for Collaborative Area Risk Management (CARM)
Department of Applied chemistry and Life Science
Institute for Research on Next-generation Semiconductor and Sensing Science (IRES²)
|Fields of Research
|Urban thermal environment, Atmospheric environment
|Department of Environmental and Life Sciences
Please append ".tut.ac.jp" to the end of the address above.
|Laboratory website URL
|Researcher information URL（researchmap）
Atmospheric and thermal environment of urban or indoor scales using numerical models.
Theme1：Development of an environment prediction model for a plant factory (green house)
Atmospheric and thermal environment inside a plant factory (greenhouse) have been evaluated mostly based on empirical method, therefore it is difficult to know the detailed distribution of air temperature, humidity, airflow and CO2 concentration inside a plant factory.
The objective of this study is developing of a numerical model for evaluation and prediction of micro-climate (atmospheric and thermal environment) in a plant factory.
Theme2：Study on urban temperature formation in Asian mega cities.
Urban heat island in Asian big cities is serious environmental problem recently and, therefore, evaluation and prediction of future thermal environment and accumulation of measurement data are required. The purpose of this study is to clarify the relationship between land-use change and local meteorology in Asian big cities using a mesoscale meteorological model.
Theme3：Prediction of the rainfall distribution change in the central area of Japan using a mesoscale meteorological model.
Three major rivers (Kiso, Nagara and Ibi rivers) in the Nobi plain located the central area of Japan sometimes caused a serious flooding in the past. The catchment area of the Nobi plain is approximately 9,000 km2 and the downstream of this area still has a risk of flooding.
The objective of this study is to clarify the change rainfall distribution due to increased urban area using a meso scale meteorological model.