Short name: RRI
Long name: Rainfall-Runoff-Inundation analysis model
Model type: Distributed model for the runoff, river routing, and inundation.
Flood Mechanism: Riverine and inland floods for short and long-time scale.
Usage: Runoff, river routing, and inundation processes are covered in one model.
Special Features: Simulating rainfall-runoff and flood inundation simultaneously.
Background: A need to develop a model that can solve large-scale river basins including mountainous areas and flood plains.
Channel routing: Diffusion wave method
Reservoir operation: Observed release, specified release, atuo-ROM, storage-discharge curve.
Shortwave radiation: None
Longwave radiation: None
Precipitation: Ground gauge, satellite rainfall
Evapotranspiration: Monthly mean amount
Snow Accumulation and Melt: None
Infiltration: Selevtive from the green-ampt model or the lateral subsurface flow.
Surface runoff: 2D diffusion wave method
Interflow: Saturated subsurface + Saturation excess overland flow.
Percolation: Selevtive from the green-ampt model or the lateral subsurface flow.
Baseflow: Saturated subsurface + Saturation excess overland flow.
Input data: Rainfall, DEM, land-use, X-section(optional).
Input format: Text file (txt)
Input time interval: Adaptive
Optimization or Calibration: SCE-UA method
Data Assimilation: Particle filter
Ensemble: None
Uncertainity: Can be identified from river discharge and inundation.
Simulation Time Interval: Adaptive Time-Step Runge-Kutta.
Model Output Time-Series: Hyetograph, hydrograph, stream line, and map.
Time-Series format: Binary and text file (txt)
Model Output Statistics: None
Statistics Format: None
Inventory Platform Availability:
Additional Platform Availability: Indud-IFAS, OSS-SR (Online Synthesis Systemm for Sustainability and Resilience – Philippines)
Installation: No need to install. Executable RRI-GUI available.
User Education: BSc
Degree of Difficulty: 5
GIS support: As all input data follows GIS data format, importable.
Data Preparation: Tools for time-series data of rain gauge and satellite rainfall.
Land Surface Parameters: Saturated hydraulic conductivity, Effective soil depth, Surface roughness, etc.
Parameter Estimation: SCE-UA method
Model Calibration: SCE-UA method or manually
Model Verification: NSE by user
Hardware Requirements: None
Operating System: MicroSoft Windows, Linux
Language of Core Code: Fortran
Open Source: Yes
Last Update and Version: RRI ver.1.4.2.7 updated December 2022.
Next Update and Version: Not determined
Active Development Community: Not regularly
Download URL: https://www.pwri.go.jp/icharm/research/rri/rri_top.html
Free to Download and Use: Yes, registration required.
Language of Software Interface: English
Online Support URL: https://www.pwri.go.jp/icharm/research/rri/index.html
Training Material URL (including example data sets): https://www.pwri.go.jp/icharm/research/rri/rri_top.html
Language of Trainings: English, Japanese
Guidance Material URL (including case studies and benchmarking of performance/speed):
https://www.pwri.go.jp/icharm/research/rri/rri_top.html
Language of Guidance: English, Japanese
References:
Sayama, T., Yamada, M., Sugawara, Y. et al. Ensemble flash flood predictions using a high-resolution nationwide distributed rainfall-runoff model: case study of the heavy rain event of July 2018 and Typhoon Hagibis in 2019. Prog Earth Planet Sci 7, 75 (2020). https://doi.org/10.1186/s40645-020-00391-7
Mamoru Miyamoto, Daiki Kakinuma, Tomoki Ushiyama, Abdul Wahid Mohamed Rasmy, Masaki Yasukawa, Della Grace Bacaltos, Anthony C. Sales, Toshio Koike, and Masaru Kitsuregawa: Co-design for Enhancing Flood Resilience in Davao City, Philippines, Water, 2022, 14(6), 978; https://doi.org/10.3390/w14060978
Takahiro Sayama, Yuya Tatebe, Yoichi Iwami and Shigenobu Tanaka, Hydrologic sensitivity of flood runoff and inundation: 2011 Thailand floods in the Chao Phraya River basin, Nat. Hazards Earth Syst. Sci., 15, pp. 1617-1630, doi:10.5194/nhess-15-1617-2015, 2015.
Takahiro Sayama, Yuya Tatebe and Shigenobu Tanaka, An emergency response-type rainfall-runoff-inundation simulation for 2011 Thailand floods, Journal of Flood Risk Management, 10, pp. 65-78, doi:10.1111/jfr3.12147, 2015.
Takahiro Sayama, Go Ozawa, Takahiro Kawakami, Seishi Nabesaka, Kazuhiko Fukami, Rainfall-Runoff-Inundation Analysis of Pakistan Flood 2010 at the Kabul River Basin, Hydrological Sciences Journal, 57(2), DOI: 10.1111/jfr3.12147, pp. 298-312, 2012.2.
Owner: ICHARM/Public Works Research Institute
Developer: ICHARM/Public Works Research Institute, Kyoto University