JDR Vol.17 No.6 pp. 864-876
doi: 10.20965/jdr.2022.p0864


An Approach to Flood Hazard Mapping for the Chao Phraya River Basin Using Rainfall-Runoff-Inundation Model

Anurak Sriariyawat*1,†, Bounhome Kimmany*1, Mamoru Miyamoto*2, Daiki Kakinuma*2, Shakti P. C.*3, and Supattra Visessri*1,*4

*1Department of Water Resource Engineering, Faculty of Engineering, Chulalongkorn University,
Phayathai Road, Patumwan, Bangkok 10330, Thailand

Corresponding author

*2International Centre for Water Hazard and Risk Management under the auspices of UNESCO (ICHARM),
Public Works Research Institute (PWRI), Ibaraki, Japan

*3National Research Institute for Earth Science and Disaster Resilience (NIED), Tsukuba, Japan

*4Disaster and Risk Management Information Systems (DRMIS) Research Unit, Chulalongkorn University, Bangkok, Thailand

November 28, 2021
August 26, 2022
October 1, 2022
Chao Phraya River Basin, RRI model, flood hazard map, flood inundation area, flood duration

Flooding is a major natural hazard that can cause significant damage to socioeconomic and ecological systems. This study presents an approach to producing the maximum flood inundation and flood duration maps over the Chao Phraya River Basin (CPRB), Thailand. An integrated numerical model and spatial analysis tool were utilized in this study. The Rainfall-Runoff-Inundation (RRI) model was first used to simulate both river discharge and inundation depth. Then, the maximum flood inundation and flood duration maps with different return periods were estimated using a Geographical Information System (GIS) tool. The results illustrate that the flood inundation areas were spread out, starting from Nakhon Sawan Province, which is located in the central part of the basin. The maximum flood inundation depth could reach up to approximately 7.71, 8.28, and 8.78 m for the flood return periods of 50, 100, and 200 years, respectively. The results also indicate that the inundation areas over the CPRB could cover approximately 21,837, 23,392, and 24,533 km2 for flood return periods of 50, 100, and 200 years, respectively. The longest flood durations for return periods of 50, 100, and 200 years were approximately 159, 177, and 198 days, respectively. The longest flood duration occurred in the vicinity of the Nakhon Sawan. This study suggests that flood inundation areas and duration mapping could provide supporting information regarding the impacts caused by varying degrees of flood hazards and can be used to enhance comprehensive disaster risk management planning.

Cite this article as:
A. Sriariyawat, B. Kimmany, M. Miyamoto, D. Kakinuma, Shakti P. C., and S. Visessri, “An Approach to Flood Hazard Mapping for the Chao Phraya River Basin Using Rainfall-Runoff-Inundation Model,” J. Disaster Res., Vol.17, No.6, pp. 864-876, 2022.
Data files:
  1. [1] World Bank Group and Asian Development Bank, “Climate Risk Country Profile: Thailand,” World Bank Group, 2021.
  2. [2] World Bank, “Thai flood 2011: Rapid assessment for resilient recovery and reconstruction planning,” World Bank, 2012.
  3. [3] N. T. Son et al., “Satellite-based investigation of flood-affected rice cultivation areas in Chao Phraya River Delta, Thailand,” ISPRS J. of Photogrammetry and Remote Sensing, Vol.86, pp. 77-88, doi: 10.1016/j.isprsjprs.2013.09.008, 2013.
  4. [4] M. Haraguchi and U. Lall, “Flood risks and impacts: A case study of Thailand’s floods in 2011 and research questions for supply chain decision making,” Int. J. of Disaster Risk Reduction, Vol.14, Part 3, pp. 256-272, doi: 10.1016/j.ijdrr.2014.09.005, 2015.
  5. [5] A. A. Komolafe, S. Herath, and R. Avtar, “Establishment of detailed loss functions for the urban flood risk assessment in Chao Phraya River basin, Thailand,” Geomatics, Natural Hazards and Risk, Vol.10, No.1, pp. 633-650, doi: 10.1080/19475705.2018.1539038, 2019.
  6. [6] M. Tanoue et al., “Estimation of Direct and Indirect Economic Losses Caused by a Flood with Long-Lasting Inundation: Application to the 2011 Thailand Flood,” Water Resources Research, Vol.56, No.5, Article No.e2019WR026092, doi: 10.1029/2019WR026092, 2020.
  7. [7] N. Singkran and J. Kandasamy, “Developing a strategic flood risk management framework for Bangkok, Thailand,” Natural Hazards, Vol.84, No.2, pp. 933-957, doi: 10.1007/s11069-016-2467-x, 2016.
  8. [8] D. Komori et al., “Characteristics of the 2011 Chao Phraya River Flood in Central Thailand,” Hydrological Research Letters, Vol.6, pp. 41-46, doi: 10.3178/hrl.6.41, 2012.
  9. [9] E. L. Gale and M. A. Saunders, “The 2011 Thailand flood: climate causes and return periods,” Weather, Vol.68, No.9, pp. 233-237, doi: 10.1002/wea.2133, 2013.
  10. [10] R. T. Cooper, “Open Data Flood Mapping of Chao Phraya River Basin and Bangkok Metropolitan Region,” Int. J. of Environment and Climate Change, Vol.4, No.2, pp. 186-216, doi: 10.9734/BJECC/2014/11872, 2014.
  11. [11] P. Promchote, S.-Y. S. Wang, and P. G. Johnson, “The 2011 Great Flood in Thailand: Climate Diagnostics and Implications from Climate Change,” J. of Climate, Vol.29, No.1, pp. 367-379, doi: 10.1175/JCLI-D-15-0310.1, 2016.
  12. [12] N. Singkran, “Flood risk assessment for the central river basin of Thailand,” WIT Trans. on Engineering Sciences, Vol.129, pp. 111-119, doi: 10.2495/RISK200101, 2020.
  13. [13] S. C. Liew et al., “The flood of 2011 in the lower Chao Phraya valley, Thailand: Study of a long-duration flood through satellite images,” Geomorphology, Vol.262, pp. 112-122, doi: 10.1016/j.geomorph.2016.03.022, 2016.
  14. [14] S. Visessri and C. Ekkawatpanit, “Flood Management in the Context of Climate and Land-Use Changes and Adaptation Within the Chao Phraya River Basin,” J. Disaster Res., Vol.15, No.5, pp. 579-587, doi: 10.20965/jdr.2020.p0579, 2020.
  15. [15] S. P. Gopalan et al., “Inclusion of flood diversion canal operation in the H08 hydrological model with a case study from the Chao Phraya River basin: model development and validation,” Hydrology and Earth System Sciences, Vol.26, No.9, pp. 2541-2560, doi: 10.5194/hess-26-2541-2022, 2022.
  16. [16] Y. Kwak et al., “Estimation of flood volume in Chao Phraya River basin, Thailand, from MODIS images couppled with flood inundation level,” 2012 IEEE Int. Geoscience and Remote Sensing Symp., pp. 887-890, doi: 10.1109/IGARSS.2012.6351416, 2012.
  17. [17] P. Rakwatin et al., “Using multi-temporal remote-sensing data to estimate 2011 flood area and volume over Chao Phraya River basin, Thailand,” Remote Sensing Letters, Vol.4, No.3, pp. 243-250, doi: 10.1080/2150704X.2012.723833, 2013.
  18. [18] T. Sayama, Y. Tatebe, and S. Tanaka, “An emergency response-type rainfall-runoff-inundation simulation for 2011 Thailand floods,” J. of Flood Risk Management, Vol.10, No.1, pp. 65-78, doi: 10.1111/jfr3.12147, 2017.
  19. [19] H. H. Loc et al., “Local rainfall or river overflow? Re-evaluating the cause of the Great 2011 Thailand flood,” J. of Hydrology, Vol.589, Article No.125368, doi: 10.1016/j.jhydrol.2020.125368, 2020.
  20. [20] A. Sriariyawat et al., “Approach to Estimate the Flood Damage in Sukhothai Province Using Flood Simulation,” J. Disaster Res., Vol.8, No.3, pp. 406-414, doi: 10.20965/jdr.2013.p0406, 2013.
  21. [21] S. P. C. et al, “Assessing Flood Risk of the Chao Phraya River Basin Based on Statistical Rainfall Analysis,” J. Disaster Res., Vol.15, No.7, pp. 1025-1039, doi: 10.20965/jdr.2020.p1025, 2020.
  22. [22] T. Sayama et al., “Hydrologic sensitivity of flood runoff and inundation: 2011 Thailand floods in the Chao Phraya River basin,” Natural Hazards and Earth System Science, Vol.15, No.7, pp. 1617-1630, doi: 10.5194/nhess-15-1617-2015, 2015.
  23. [23] R. B. Mudashiru et al., “Flood hazard mapping methods: A review,” J. of Hydrology, Vol.603, Part A, Article No.126846, doi: 10.1016/j.jhydrol.2021.126846, 2021.
  24. [24] A. Díez-Herrero, L. Laín-Huerta, and M. Llorente-Isidro, “A handbook on flood hazard mapping methodologies,” Geological Survey of Spain, 2009.
  25. [25] Z. M. L. T. San et al., “Developing Flood Inundation Map Using RRI and SOBEK Models: A Case Study of the Bago River Basin, Myanmar,” J. Disaster Res., Vol.15, No.3, pp. 277-287, doi: 10.20965/jdr.2020.p0277, 2020.
  26. [26] W.-C. Liu, T.-H. Hsieh, and H.-M. Liu, “Flood Risk Assessment in Urban Areas of Southern Taiwan,” Sustainability, Vol.13, No.6, Article No.3180, doi: 10.3390/su13063180, 2021.
  27. [27] T. Sayama et al., “Rainfall-runoff-inundation analysis of the 2010 Pakistan flood in the Kabul River basin,” Hydrological Sciences J., Vol.57, No.2, pp. 298-312, doi: 10.1080/02626667.2011.644245, 2012.
  28. [28] S. Zenkoji, T. Tebakari, and K. Dotani, “Rainfall and reservoirs situation under the worst drought recorded in the Upper Chao Phraya River Basin, Thailand,” J. of Japan Society of Civil Engineers, Ser. G (Environmental Research), Vol.75, No.5, pp. I_115-I_124, doi: 10.2208/jscejer.75.I_115, 2019.
  29. [29] S. Wongsa, “Simulation of Thailand Flood 2011,” Int. J. of Engineering and Technology, Vol.6, No.6, pp. 452-458, doi: 10.7763/IJET.2014.V6.740, 2014.
  30. [30] D. Yamazaki et al., “A high-accuracy map of global terrain elevations,” Geophysical Research Letters, Vol.44, No.11, pp. 5844-5853, doi: 10.1002/2017GL072874, 2017.
  31. [31] S. Z. Samadi, G. Sagareswar, and M. Tajiki, “Comparison of General Circulation Models: Methodology for Selecting the Best GCM in Kermanshah Synoptic Station, Iran,” Int. J. of Global Warming, Vol.2, No.4, pp. 347-365, doi: 10.1504/IJGW.2010.037590, 2010.
  32. [32] T. Sayama, “Rainfall-Runoff-Inundation (RRI) Model: Technical Manual,” Technical Note of PWRI No.4277, 2014.
  33. [33] W. P. James, J. Warinner, and M. Reedy, “Application of the Green-Ampt infiltration equation to watershed modeling,” J. of the American Water Resources Association, Vol.28, No.3, pp. 623-635, doi: 10.1111/j.1752-1688.1992.tb03182.x, 1992.
  34. [34] A. V. M. Ines and J. W. Hansen, “Bias Correction of Daily GCM Rainfall for Crop Simulation Studies,” Agricultural and Forest Meteorology, Vol.138, Issues 1-4, pp. 44-53, doi: 10.1016/j.agrformet.2006.03.009, 2006.
  35. [35] W. W. Zin et al., “Flood Hazard Assessment of Bago River Basin, Myanmar,” J. Disaster Res., Vol.13, No.1, pp. 14-21, doi: 10.20965/jdr.2018.p0014, 2018.

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Last updated on Dec. 01, 2022