Fundamental Study for Real-Time Inundation Depth Estimation Using a New Weather Radar
DOI:
https://doi.org/10.64862/Keywords:
Inundation depth, Flood simulation, MultiParameter Phased Array Weather Radar (MP-PAWR)Abstract
To provide real-time inundation depth estimation for frequently occurring inland flooding events, we are advancing technological development utilizing new meteorological radar installed at Saitama University in 2017. This paper reports on the comparison between observed rainfall and analyzed rainfall, as well as the comparison between flood simulation results and actual inundation for the inland flooding occurred in Koshigaya City, Saitama Prefecture in 2023 as a case study.
References
Kawai, Y., Maeda, S.-i., Khono, K., Ishiguro, K., Kawamura, S., Hanado, H., and Kishi, H. (2025). Research on technology for predicting road flooding using MP-PAWR. JSCE Artificial Intelligence and Data Science, 6 (1), 117–123. (in Japanese with English abstract)
Kikuchi, H., Suezawa, T., Ushio, T., et al. (2020). Initial observations for precipitation cores with X-band dual-polarized phased array weather radar. IEEE Transactions on Geoscience and Remote Sensing, 58 (5), 3657–3666. http://doi.org/10.1109/TGRS.2019.2959628
Takahashi, N., Ushio, T., Nakagawa, K., et al. (2019). Development of multi-parameter phased array weather radar (MP-PAWR) and early detection of torrential rainfall and tornado risk. Journal of Disaster Research, 14 (2), 235–247. http://doi.org/10.20965/jdr.2019.p0235
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Nepal Society of Engineering Geology (NSEG)
This work is licensed under a Creative Commons Attribution 4.0 International License.
