| 作成年度 | 2018 年度 |
|---|---|
| 論文名 | Combined use of satellite estimates and rain gauge observations for water resource management in an inaccessible transboundary river basin - the case of the Meghna river basin |
| 論文名（和訳） | |
| 論文副題 | |
| 発表会 | |
| 誌名 | |
| 巻・号・回 | |
| 発表年月日 | 2018/10/12 ～ 2018/10/14 |
| 所属研究室／機関名 | 著者名（英名） |
|---|---|
| International Centre for Water Hazard and Risk Management (ICHARM), Public Works Research Institute (PWRI), Tsukuba, Ibaraki 305-8516, Japan | Islam M. Khairul |
| Centre for Ecology & Hydrology, Maclean Building, Wallingford, Oxfordshire, OX10 8BB, UK | Nikolaos Mastrantonas |
| International Centre for Water Hazard and Risk Management (ICHARM), Public Works Research Institute (PWRI), Tsukuba, Ibaraki 305-8516, Japan | Mohamed Rasmy |
| University of Yamanashi, Takeda, Kofu, Yamanashi 400-8510, Japan | Kuniyoshi Takeuchi |
| 抄録 |
|---|
| The Meghna river basin is originated in India and flows into Bangladesh. Almost every year, Bangladesh suffers floods in this basin and, does not receive any hydro-meteorological data for effective water resource management, causing socio-economic damage in the country. Satellite rainfall products can solve this transboundary issues albeit their systematic and random biases. This study evaluated four Gauge corrected Satellite rainfall Products (GSPs) (e.g. Global Satellite Mapping of Precipitation (GSMaP), Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (TMPA), Climate Hazards group InfraRed Precipitation with Station data (CHIRPS), and Multi-Source Weighted-Ensemble Precipitation (MSWEP)), and identified their biases relative to ground rainfall inside Bangladesh. Several bias correction and merging methods were applied to remove the GSPs’ biases for creating an improved dataset. Finally, the potential of the improved dataset was investigated to the simulated streamflows of the basin at two hydrological stations. |
