研究室紹介

Hydrosphere Environmental Engineering

Department of Urban and Environmental Engineering, Faculty of Engineering

Department of Civil Engineering, Graduate School of Engineering

Department of Civil Engineering, School of Engineering

From the perspective of maintaining a healthy water circulation system, we are conducting research vital to our daily lives and environment. As rapid urbanization progresses, local water circulation systems undergo changes that could have serious implications for local water environments and ecosystems. Preserving local water circulation and environments in the face of such anthropogenic impacts is a significant challenging mission through the understanding of groundwater environments.
Meanwhile, based on the background of increasingly frequent heavy rainfall disasters, we are conducting research utilizing AI techniques to diagnose the occurrence of heavy rainfall events, including linear precipitation zones. Additionally, through the interpretation of historical documents, we are reproducing past linear precipitation zones and heavy rainfall disasters that existed even in the Edo period. Based on these findings, we are also working on creating contents that can be utilized for regional disaster prevention.
Also, by utilizing advanced remote sensing techniques, we monitor clouds and provide valuable data for climate models and weather prediction. Our focus on nighttime cloud detection helps improve our understanding of cloud formation and behavior during nighttime, which is often under-researched yet significant for weather patterns and climate change. The insights gained from this research are vital for both academic knowledge and practical applications in environmental monitoring and disaster preparedness.

Staff

Assoc.Prof. Yoshinari Hiroshiro
Assoc.Prof. Lagrosas Nofel
Asst.Prof. Koji Nishiyama

The Main Research Topics

  • Research on the improvement of regional water circulation systems
  • Research on the diagnosis of heavy rainfall using AI, and the reproduction of past linear precipitation zones and heavy rainfall disasters using historical documents
  • Research on cloud detection, cloud data analysis, and cloud-environment interaction
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