Stepwise modeling and the importance of internal variables validation to test model realism in a data scarce glacier basin
文献类型：期刊论文
| 作者 | Gao Hongkai1,9; Dong Jianzhi8; Chen Xi1,9; Cai Huayang7; Liu Zhiyong6; Jin Zhihao5; Mao Dehua4; Yang Zongji3 ; Duan Zheng2
|
| 刊名 | Journal of Hydrology
 |
| 出版日期 | 2020 |
| 卷号 | 591页码:125457 |
| 关键词 | Behavioral research Catchments Decision making Model structures Runoff Snow making Stream flow |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2020.125457 |
| 产权排序 | 8 |
| 文献子类 | Article |
| 英文摘要 | Model realism is of vital importance in science of hydrology, in terms of realistic representation of hydrological processes and reliability of future prediction. Here, we employed a stepwise modeling approach that leverages flexible model structures and multi-source observations for robust streamflow simulation and internal variables validation with improved model realism. This framework is demonstrated in Yigong Zangbu River (YZR) basin, a data scarce glacier basin in the upper Brahmaputra River. We designed six experiments (Exp1–6) to use modeling as a tool to understand hydrological processes in this remote cold basin with extremely high altitude. In Exp1, we started with a distributed rainfall-runoff model (FLEXD) - representing the case that snow and glacier processes were ignored. Then, we stepwisely added snow and glacier processes into FLEXD, denoted as FLEXD-S (Exp2) and FLEXD-SG (Exp3), respectively, and such improvement of model structure led to significantly improved streamflow estimates. To explore the impact of different precipitation forcing on model performance, FLEXD-SG was driven by Theissen average (Exp3) and three individual stations’ precipitation (Exp4–6). The model realism was tested by observed hydrograph, snow cover area (SCA) and glacier mass balance (GMB). Results showed that a robust and realistic hydrological modeling system was achieved in Exp6. In this modeling study, we learned that: 1) stepwise modeling is effective in investigating catchment behavior, and snow and glacier melting are the dominant hydrological processes in the YZR basin; 2) internal variables validation is beneficial to test model realism in data scarce basin; 3) the FLEXD-SG model calibrated by only one year hydrograph is sufficient to reproduce snow and glacier variations; 4) precipitation of a single station as forcing data could outperform Theissen average; 5) based on the well tested model configuration in Exp6, we analyzed simulated results, and reconstructed the long term hydrography (1961–2013), to support the potential competence for decision making on water resources management in practice. The proposed framework may significantly improve our skills in hydrological modeling over data-poor regions. © 2020 Elsevier B.V. |
| 语种 | 英语 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/46664]  |
| 专题 | 成都山地灾害与环境研究所_山地灾害与地表过程重点实验室 |
| 通讯作者 | Chen Xi |
| 作者单位 | 1.School of Geographical Sciences, East China Normal University, Shanghai, China; 2.Department of Physical Geography and Ecosystem Science, Lund University, Sweden 3.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, Sichuan, 610041, China; 4.Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China; 5.Department of Environmental Health Sciences, Yale School of Public Health, Yale University, United States; 6.Center for Water Resources and Environment, School of Civil Engineering, Sun Yat-sen University, Guangzhou, China; 7.Institute of Estuarine and Coastal Research, School of Marine Engineering and Technology, Sun Yat-sen University, Guangzhou, 510275, China; 8.USDA Hydrology and Remote Sensing Laboratory, Beltsville; MD, United States; 9.Key Laboratory of Geographic Information Science (Ministry of Education of China), East China Normal University, Shanghai, China; |
| 推荐引用方式 GB/T 7714 | Gao Hongkai,Dong Jianzhi,Chen Xi,et al. Stepwise modeling and the importance of internal variables validation to test model realism in a data scarce glacier basin[J]. Journal of Hydrology,2020,591:125457. |
| APA | Gao Hongkai.,Dong Jianzhi.,Chen Xi.,Cai Huayang.,Liu Zhiyong.,...&Duan Zheng.(2020).Stepwise modeling and the importance of internal variables validation to test model realism in a data scarce glacier basin.Journal of Hydrology,591,125457. |
| MLA | Gao Hongkai,et al."Stepwise modeling and the importance of internal variables validation to test model realism in a data scarce glacier basin".Journal of Hydrology 591(2020):125457. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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