single-dr.php

JDR Vol.16 No.3 pp. 403-409
(2021)
doi: 10.20965/jdr.2021.p0403

Survey Report:

Demonstration of Stormwater Management Technology by Short-Term Rainfall Prediction and Real-Time Runoff Analysis System Using Small X-Band Radar

Ryo Matsuoka and Shinichiro Oki

Metawater Co., Ltd.
JR Kanda Manseibashi Building, 1-25 Kandasuda-cho, Chiyoda-ku, Tokyo 101-0041, Japan

Corresponding author

Received:
October 1, 2020
Accepted:
February 27, 2021
Published:
April 1, 2021
Keywords:
stormwater management, flood-damage mitigation, X-band dual polarization radar, drainage pump control, resident’s self-help and mutual assistance
Abstract

We developed a system that combines urban area rainfall radar (small X-band, dual-polarization radar), short-term rainfall prediction model, and real-time runoff analysis technology, and the demonstration study was conducted on the drainage districts in Fukui City and Toyama City. We demonstrated the effectiveness of the flood damage, by providing the real-time information on rainfall prediction, water level in sewerage pipes, and inland flood prediction to the operators of drainage pump of stormwater storage pipes, and residents in flood-prone areas. During the study for about two years, it was confirmed that the accuracy of the radar rainfall observation was comparable to that of the X-band dual-polarization Doppler weather radar managed by the Ministry of Land, Infrastructure, Transport and Tourism. In the operation of the drainage pump for the Tsukimiminori Stormwater Storage Pipe in Fukui City, we were able to secure the storage capacity for the next rainfall based on the forecast information by maximizing the drainage capacity of the discharge destination. In addition, it was also confirmed that the residents themselves could secure the lead time for setting up water-stop sandbags and moving their vehicles to higher ground.

Cite this article as:
Ryo Matsuoka and Shinichiro Oki, “Demonstration of Stormwater Management Technology by Short-Term Rainfall Prediction and Real-Time Runoff Analysis System Using Small X-Band Radar,” J. Disaster Res., Vol.16, No.3, pp. 403-409, 2021.
Data files:
References
  1. [1] B. Kerkez et al., “Smarter Stormwater Systems,” Environmental Science & Technology, Vol.50, No.14, pp. 7267-7273, doi: 10.1021/acs.est.5b05870, 2016.
  2. [2] N. Peyron et al., “Implementation of a Unique Real Time Flash Flood Forecasting System in Martinique (France),” J. of Water Management Modeling, Vol.18, doi: 10.14796/JWMM.R236-03, 2010.
  3. [3] J. Henonin et al., “Real-Time Urban Flood Forecasting and Modelling – A State of the Art,” J. of Hydroinformatics, Vol.15, Issue 3, pp. 717-736, doi: 10.2166/hydro.2013.132, 2013.
  4. [4] S. H. Hosseini et al., “Evaluation of a New X-Band Weather Radar for Operational Use in South Sweden,” Water Science & Technology, Vol.81, Issue 8, pp. 1623-1635, doi: 10.2166/wst.2020.066, 2020.
  5. [5] F. S. Marzano et al., “X-Band Weather Radar Monitoring Real-Time Products in Rome and Naples Urban Areas,” Proc. of 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS), pp. 338-343, doi: 10.1109/TyWRRS.2012.6381152, 2012.
  6. [6] C. Z. van de Beek et al., “Performance of High-Resolution X-Band Radar for Rainfall Measurement in the Netherlands,” Hydrology and Earth System Sciences, Vol.14, No.2, pp. 205-221, doi: 10.5194/hess-14-205-2010, 2010.
  7. [7] R. I. Hapsari et al., “Ensemble Short-Term Rainfall–Runoff Prediction and its Application in Urban Flood Risk Mapping,” A. Chavoshian and K. Takeuchi (Eds.), “Floods: From Risk to Opportunity (IAHS Publication 357),” pp. 308-319, IAHS Press, 2013.
  8. [8] ICMLive, https://www.innovyze.com/en-us/products/icmlive/ [accessed February 19, 2021]
  9. [9] S. Ahmad and S. P. Simonovic, “System Dynamics Modeling of Reservoir Operations for Flood Management,” J. of Computing in Civil Engineering, Vol.14, No.3, pp. 190-198, doi: 10.1061/(ASCE)0887-3801(2000)14:3(190), 2000.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Apr. 13, 2021