Modeling Daily Floods in the Lancang-Mekong River Basin Using an Improved Hydrological-Hydrodynamic Model
文献类型：期刊论文
| 作者 | Wang, Jie5,6; Yun, Xiaobo5,6; Pokhrel, Yadu7; Yamazaki, Dai1; Zhao, Qiudong2,4; Chen, Aifang3; Tang, Qiuhong5,6 |
| 刊名 | WATER RESOURCES RESEARCH
 |
| 出版日期 | 2021-08-01 |
| 卷号 | 57期号:8页码:20 |
| 关键词 | daily floods hydrological-hydrodynamic model Lancang-Mekong river basin regional parameterization reservoir regulation |
| ISSN号 | 0043-1397 |
| DOI | 10.1029/2021WR029734 |
| 通讯作者 | Tang, Qiuhong(tangqh@igsnrr.ac.cn) |
| 英文摘要 | Daily floods including event, characteristic, extreme and inundation in the Lancang-Mekong River Basin (LMRB), crucial for flood projection and forecasting, have not been adequately modeled. An improved hydrological-hydrodynamic model (VIC and CaMa-Flood) considering regional parameterization was developed to simulate the flood dynamics over the basin from 1967 to 2015. The flood elements were extracted from daily time series and evaluated at both local and regional scales using the data collected from in-situ observations and remote sensing. The results show that the daily discharge and water level are both well simulated at selected stations with relative error (RE) less than 10% and Nash-Sutcliffe efficiency coefficient (NSE) over 0.90. Half of the flood events have NSE exceeding 0.76. The peak time and flood volume are well reproduced while both peak discharge and water level are slightly underestimated. The results tend to worsen when the characteristics of flood events are extended to annual extremes. These extremes are generally underestimated with NSE less than 0.5 but RE is within 20%. The simulated rainy season inundation area generally agrees with observations from remote sensing, with about 86.8% inundation occurrence frequency captured within the model capacity. Ignoring the regional parameterization and reservoir regulation can both deteriorate flood simulation performance at the local scale, resulting in lower NSE. Specifically, systematically higher water levels and up to 27% overestimation of peak discharge are found when ignoring regional parameterization, while ignoring reservoir regulation would cause up to 23% overestimation for flood extremes. It is expected that these findings would contribute to the regional flood forecasting and flood management. |
| WOS关键词 | GRIDDED PRECIPITATION DATASET ; CLIMATE-CHANGE IMPACTS ; LAND-SURFACE ; DENSE NETWORK ; SATELLITE ; WATER ; FLUXES |
| 资助项目 | National Natural Science Foundation of China[41730645] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20060402] ; International Partnership Program of Chinese Academy of Sciences[131A11KYSB20180034] ; National Science Foundation (CAREER)[1752729] ; China Postdoctoral Science Foundation[2021M691403] |
| WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000688205400049 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 资助机构 | National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; International Partnership Program of Chinese Academy of Sciences ; National Science Foundation (CAREER) ; China Postdoctoral Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/165016]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tang, Qiuhong |
| 作者单位 | 1.Univ Tokyo, Inst Ind Sci, Global Hydrol Predict Ctr, Komaba, Japan 2.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Lanzhou, Peoples R China 3.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen, Peoples R China 4.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 6.Univ Chinese Acad Sci, Beijing, Peoples R China 7.Michigan State Univ, Dept Civil & Environm Engn, E Lansing, MI 48824 USA |
| 推荐引用方式 GB/T 7714 | Wang, Jie,Yun, Xiaobo,Pokhrel, Yadu,et al. Modeling Daily Floods in the Lancang-Mekong River Basin Using an Improved Hydrological-Hydrodynamic Model[J]. WATER RESOURCES RESEARCH,2021,57(8):20. |
| APA | Wang, Jie.,Yun, Xiaobo.,Pokhrel, Yadu.,Yamazaki, Dai.,Zhao, Qiudong.,...&Tang, Qiuhong.(2021).Modeling Daily Floods in the Lancang-Mekong River Basin Using an Improved Hydrological-Hydrodynamic Model.WATER RESOURCES RESEARCH,57(8),20. |
| MLA | Wang, Jie,et al."Modeling Daily Floods in the Lancang-Mekong River Basin Using an Improved Hydrological-Hydrodynamic Model".WATER RESOURCES RESEARCH 57.8(2021):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。