题名 | Modeling Daily Floods in the Lancang-Mekong River Basin Using an Improved Hydrological-Hydrodynamic Model |
作者 | |
通讯作者 | Tang, Qiuhong |
发表日期 | 2021-08-01
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DOI | |
发表期刊 | |
ISSN | 0043-1397
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EISSN | 1944-7973
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卷号 | 57期号:8 |
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. |
关键词 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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资助项目 | National Natural Science Foundation of China[41730645]
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WOS研究方向 | Environmental Sciences & Ecology
; Marine & Freshwater Biology
; Water Resources
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WOS类目 | Environmental Sciences
; Limnology
; Water Resources
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WOS记录号 | WOS:000688205400049
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出版者 | |
EI入藏号 | 20213510823110
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EI主题词 | Calcium compounds
; Flood control
; Floods
; Hydrodynamics
; Parameterization
; Remote sensing
; Water levels
; Watersheds
; Weather forecasting
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EI分类号 | Reservoirs:441.2
; Flood Control:442.1
; Meteorology:443
; Surface Water:444.1
; Mathematics:921
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ESI学科分类 | ENVIRONMENT/ECOLOGY
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来源库 | Web of Science
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引用统计 |
被引频次[WOS]:26
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/245122 |
专题 | 工学院_环境科学与工程学院 |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Michigan State Univ, Dept Civil & Environm Engn, E Lansing, MI 48824 USA 4.Univ Tokyo, Inst Ind Sci, Global Hydrol Predict Ctr, Komaba, Japan 5.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Lanzhou, Peoples R China 6.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou, Peoples R China 7.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen, Peoples R China |
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).
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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).
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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).
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条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
Wang_etal_2021WR0297(8332KB) | -- | -- | 限制开放 | -- |
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