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

被引:14
作者
Shrestha, Badri Bhakta [1 ]
Okazumi, Toshio [2 ]
Miyamoto, Mamoru [1 ]
Nabesaka, Seishi [3 ]
Tanaka, Shigenobu [4 ]
Sugiura, Ai [1 ]
机构
[1] Int Ctr Water Hazard & Risk Management ICHARM, PWRI, 1-6 Minamihara, Tsukuba, Ibaraki 3058516, Japan
[2] Minist Land Infrastruct Transport & Tourism, Chiyoda Ku, Tokyo, Japan
[3] Japan Water Agcy, Asakura Integrated Off Koishibaragawa Dam Constru, Asakura, Fukuoka, Japan
[4] Kyoto Univ, Disaster Prevent Res Inst, Uji, Kyoto, Japan
关键词
flood features; flood forecasting; damage assessment; developing countries;
D O I
10.20965/jdr.2014.p0858
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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.
引用
收藏
页码:858 / 869
页数:12
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