Top > JDR > Fundamental Analysis for Flood Risk Management in the Selec ...

single-dr.php

JDR Vol.9 No.5 pp. 858-869
(2014)
doi: 10.20965/jdr.2014.p0858

Paper:

Views over last 60 days: 985

Fundamental Analysis for Flood Risk Management in the Selected River Basins of Southeast Asia

Badri Bhakta Shrestha*1, Toshio Okazumi*2, Mamoru Miyamoto*1,
Seishi Nabesaka*3, Shigenobu Tanaka*4, and Ai Sugiura*1

*1International Centre for Water Hazard and Risk Management (ICHARM), Public Works Research Institute (PWRI), 1-6 Minamihara, Tsukuba, Ibaraki 305-8516, Japan

*2Ministry of Land, Infrastructure, Transport and Tourism, Chiyoda-ku, Tokyo, Japan

*3Asakura Integrated Office for Koishibaragawa Dam Constructing Project, Japan Water Agency, Asakura-shi, Fukuoka, Japan

*4Disaster Prevention Research Institute, Kyoto University, Gokasho, Uji-shi, Kyoto, Japan

Received:
January 8, 2014
Accepted:
June 10, 2014
Published:
October 1, 2014
Creative Commons License
Keywords:
flood features, flood forecasting, damage assessment, developing countries
Abstract
Flood features were analyzed and risk knowledge was examined in studies in selected river basins of Southeast Asia. Rainfall runoff features were analyzed in Indonesia’s Solo river basin and in the Philippines’ Pampanga and Cagayan river basins using ground-observed and satellite-based (GSMaP) rainfall data. Flood damage was assessed for risk management by considering physical damage to agricultural and household in the Cambodian flood plain of the Lower Mekong Basin and in the Philippines’s Pampanga river basin. A comparison of simulated and observed runoff hydrographs showed that the accuracy of GSMaP rainfall in the Solo and Cagayan river basins in studied flood events was lower than in the Pampanga river basin case. In the Pampanga and Cagayan river basins, the density of rainfall station networks was below the WMO recommendation, and GSMaP rainfall data would be more effective in getting supplementary information for existing flood-forecasting systems for these river basins. Physical damage to households including residential assets and agricultural damage were estimated quantitatively based on flood features. The estimated value of agricultural and house damage was fairly consistent with reported values. Reliable flood damage data are important for developing flood damage functions and for confirming such estimation. Uncertainties associated with input data, model parameters, and damage information strongly influence the damage estimated. These uncertainties must be considered carefully in flood risk assessment models.
Cite this article as:
B. Shrestha, T. Okazumi, M. Miyamoto, S. Nabesaka, S. Tanaka, and A. Sugiura, “Fundamental Analysis for Flood Risk Management in the Selected River Basins of Southeast Asia,” J. Disaster Res., Vol.9 No.5, pp. 858-869, 2014.
Data files:
References
  1. [1] D. Lee, B. Oh, H. Kim, S. Lee, and G. Chung, “Comparision of the hydro-climatological characteristics for the extra-ordinary flood induced by tropical cyclone in the selected river basins,” Tropical Cyclone Research and Review, Vol.2, No.1, pp. 45-54, 2013.
  2. [2] B. B. Shrestha, T. Okazumi, S. Tanaka, A. Sugiura, Y. Kwak and S. Hibino, “Development of flood vulnerability indices for Lower Mekong basin in Cambodian floodplain,” Journal of Japan Society of Civil Engineers, Ser B1 (Hydraulic Engineering), Vol.69, No.4, pp. I_1-I_6, 2013.
  3. [3] L. Nie, L. A. Roald, S. Mellegard, and C. Maksimovic, “Flood risk management in a cold climate – experience in Norway,” Floods: From Risk to Opportunity, IAHS Publication, No.357, pp. 198-207, 2013.
  4. [4] T. Sugiura, K. Fukami, N. Fujiwara, K. Hamaguchi, S. Nakamura, S. Hironaka, K. Nakamura, T. Wada, M. Ishikawa, T. Shimizu, H. Inomata, and K. Ito, “Development of integrated flood analysis system (IFAS) and its applications,” Proceedings of 7th ISE & 8th HIC, Chile, 2009.
  5. [5] M. Miyamoto, A. Sugiura, T. Okazumi, S. Tanaka, S. Nabesaka, and K. Fukami, “Suggestion for an advanced early warning system based on flood forecasting in Bengawan Solo river basin,” Indonesia, 10th International Conference on Hydroinformatics, IWA IAHR, No.394, July, 2012.
  6. [6] K. Takeuchi, A. W. Jayawardena, and Y. Takahasi (Eds.), “Catalogue of rivers for southeast asia and the pacific,” Vol.I,
    http://flood.dpri.kyoto-u.ac.jp/ihp_rsc/riverCatalogue/Vol_01/ [accessed November 8, 2013]
  7. [7] PAGASA, “Some basic information about floods and the flood forecasting branch,”
    http://kidlat.pagasa.dost.gov.ph/ffb/ffb.html [accessed September 27, 2013]
  8. [8] C. J. S. Sarmiento, R. J. V. Ayson, R. M. Gonzalez, and P. P. M. Castro, “Remote sensing and GIS in inflow estimation: the Magat reservoir, Philippines experience,” Proceedings of ISPRS TC VII Symposium, pp. 227-232, 2010.
  9. [9] MRC (Mekong River Commission), “Overview of the hydrology of the Mekong basin,” Mekong River Commission, Vientiane, pp. 1-73.
  10. [10] B. Ros, P. Nang, and C. Chhim, “Agricultural development and climate change: the case of Cambodia,” Cambodia’s Leading Independent Development Policy Research Institute, Working Paper Series, No.65, 2011.
  11. [11] World Meteorological Organization (WMO), “Guide to hydrological practices: volume 1 hydrology-from measurement to hydrological information,” WMO, WMO-No.168, 2008.
  12. [12] Y. Shiraishi, K. Fukami, and H. Inomata, “The proposal of correction method using the movement of rainfall area on satellite-based rainfall information by analysis in the Yoshino River Basin,” Annual Journal of Hydraulic Engineering, JSCE, Vol.53, pp. 385-390, 2009.
  13. [13] S. Shige, S. Kida, H. Ashiwake, T. Kubota, and K. Aonashi, “Improvement of TMI rain retrievals in mountainous areas,” Journal of Applied Meteorology and Climatology, Vol.52, pp. 242-254, 2013.
  14. [14] Z. W. Kundzewicz, “Global change and flood risk management,” Large-scale Floods Report, Technical Note of PWRI, No.4203, pp. 1-26, 2011.
  15. [15] Bureau of Agricultural Statistics (BAS), “Manual on damage assessment and reporting system,” Department of Agriculture, Philippines, February, 2013.
  16. [16] Flood Management and Mitigation Programme (FMMP), “Flood damages, benefits and flood risk in focal areas,” the Flood Management and Mitigation Programme, C2, MRCS, 2C, 2010.
  17. [17] T. Taniguchi, T. Masumoto, K. Shimizu, N. Horikawa, and T. Yoshida, “Development of a distributed water circulation model incorporating various paddy water uses, Part 1: a model for estimating cropping pattern and area,” J. Japan Soc. Hydrol. Wat. Resour., Vol.22, No.2, pp. 101-112, 2009.
  18. [18] T. Okazumi, S. Tanaka, Y. Kwak, B. B. Shrestha, and A. Sugiura, “Flood vulnerability assessment in the light of rice cultivation characteristics in Mekong river flood plain in Cambodia,” Paddy and Water Environment, DOI 10.1007/s10333-013-043-1, 2013.
  19. [19] T. Sayama, G. Ozawa, T. Kawakami, S. Nabesaka, and K. Fukami, “Rainfall-Runoff-Inundation analysis of Pakistan flood 2010 at the Kabul river basin,” Hydrological Sciences Journal, Vol.57, No.2, pp. 298-312, 2012.
  20. [20] A. Sugiura, S. Tanaka, T. Okazumi, Y. Kwak, S. Hibino, and B. B. Shrestha, “Calculation of flood house damages in the Mekong river basin in Cambodia,” 6th International Perspective on Water Resources and the Environment, Turkey, January, 2013.

Creative Commons License  This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

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

Last updated on Oct. 01, 2024