4:45 PM - 5:00 PM
[U06-11] Realization for Rainwater Social with Rainfall Observation and IoT-DRR
Keywords:Rainwater Social, Rainfall Observation, IoT-DRR, Critical Rainfall for collapse of slope
In this presentation, I report the analysis results of sediment-related disasters based on the data observed by AMeDAS and XRAIN radar systems.
(1) Based on the slope element assembly model of Hirano et al. (Reference 3), the critical cumulative rainfall amount and the concentration time of the slope were estimated from the history of sediment disasters in the past on that area. Estimation was difficult because the data was unclear.
(2) Estimate the collapse area rate of the slope from the cumulative rainfall amount (maximum value of 180 minutes cumulative rainfall amount) in the watershed at concentration time (3 hours were assumed ) using C-band and X-band radar observed with XRAIN (Reference 4). The mean and variance of the occurrence critical cumulative rainfall amount were estimated by least squares method. By calculated collapsed are, the amount of driftwood can be estimated by multiplying it by the wood standing density, and the sediment discharge amount also by the depth of collapse.
Furthermore, as IoT - DRR (Internet of Things for Disaster Risk Reduction)
(3) We introduce the smart rainwater tank (Reference 5) which the research group is conducting and propose to reduce the number of people who evacuate to evacuation centers for water cutoff in the event of a disaster.
(4) Since river water level is not monitored in small and medium rivers in Japan, it is realized inexpensively by IoT divices, and methods for forecasting river water level with high accuracy (Refs. 6, 7, 8), networks with high redundancy, propose the CivicTech to help management by residents.
1) Labs for Rainwater Society, http://amamizushakai.wixsite.com/amamizu (In Japanese)
2) Extraction of Past Heavy Rainfall Disaster Records in Asakura Area of Fukuoka Prefecture Using Local Historical Documents, Western Regional Division Report of National Disaster Research Council, No. 42, pp.55-58, 2018
3)Hirano, M. Hikida, M. and Moriyama, T. (1984). Field observation and prediction of the hydrograph of volcanic debris flow, Proceedings of the Fourth Congress of Asian and Pacific Regional Division of IAHR, Vol. 1, pp. 287-298
4) Toshiyuki Moriyama, Hirano Muneo, Relationship of Three Hours of Cumulative Rainfall and Collapsed Area if Landslide, Proc. Of IAHR-APD 2018, 2018, Now Posting
5) Toshiyuki MORIYAMA, Katsuhiro Morishita, Shinobu Izumi, Koji Nishiyama, Development of Distributed Multi-purpose Civil Dam with LoRaWAN, HIC-2018, 2018, Now Posting
6) T. Moriyama, M. Masaki, H. Nakayama, K. Matsuo, Real-Time Forecasting for Stages of Flash Flood, M. Hirano, 5 th Congress of IAHR-APD, 1986, Vol. IV, pp 269 - 282
7) M. Hirano, T. Moriyama, S. Yamashita, H. Tetsuya, Real-Time Forecasting for Stages of Flash Flood (Part 2), 6th Congress of IAHR-APD, 1988, Vol.II- 22,
8) Moriyama, T., Hirano, M., Nakayama, H., (2009), Terminals and Program which Derives River Flood Information, Japanese Patent No. 4323565, 2009 (in Japanese)