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論文投稿 RCP8.5-Based Future Flood Hazard Analysis for the Lower Mekong River Basin

作成年度 2017 年度
論文名 RCP8.5-Based Future Flood Hazard Analysis for the Lower Mekong River Basin
論文名(和訳)
論文副題
発表会
誌名 Hydrology
巻・号・回 4 
発表年月日 2017/04/01
所属研究室/機関名 著者名(英名)
UNU - Institute for Water, Environment and HealthEdangodage Duminda Pradeep Perera
DPRI, U. of KyotoTakahiro Sayama
U. YamanashiJun Magome
ICHARMAkira Hasegawa
Nagasaki Prefectural Civil Engineering DepartmentYoichi Iwami
抄録
Climatic variations caused by the excessive emission of greenhouse gases are likely to change the patterns of precipitation, runoff processes, and water storage of river basins. Various studies have been conducted based on precipitation outputs of the global scale climatic models under different emission scenarios. However, there is a limitation in regional- and local-scale hydrological analysis on extreme floods with the combined application of high-resolution atmospheric general circulation models’ (AGCM) outputs and physically-based hydrological models (PBHM). This study has taken an effort to overcome that limitation in hydrological analysis. The present and future precipitation, river runoff, and inundation distributions for the Lower Mekong Basin (LMB) were analyzed to understand hydrological changes in the LMB under the RCP8.5 scenario. The downstream area beyond the Kratie gauging station, located in the Cambodia and Vietnam flood plains was considered as the LMB in this study. The bias-corrected precipitation outputs of the Japan Meteorological Research Institute atmospheric general circulation model (MRI-AGCM3.2S) with 20 km horizontal resolution were utilized as the precipitation inputs for basin-scale hydrological simulations. The present climate (1979-2003) was represented by the AMIP-type simulations while the future (2075-2099) climatic conditions were obtained based on the RCP8.5 greenhouse gas scenario. The entire hydrological system of the Mekong basin was modelled by the block-wise TOPMODEL (BTOP) hydrological model with 20 km resolution, while the LMB area was modelled by the rainfall-runoff-inundation (RRI) model with 2 km resolution, specifically to analyze floods under the aforementioned climatic conditions. The comparison of present and future river runoffs, inundation distributions and inundation volume changes were the outcomes of the study, which can be supportive information for the LMB flood management, water policy, and water resources development.
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