Impact Classification of Future Land Use and Climate Changes on Flow Regimes in the Yellow River Source Region, China
文献类型：期刊论文
| 作者 | Wang, Wei1,2; Zhang, Yongyong2; Geng, Xin1,2; Tang, Qiuhong1,2 |
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
 |
| 出版日期 | 2021-07-08 |
| 卷号 | 126期号:13页码:18 |
| 关键词 | Flow regimes land use change climate change Cellular Automata-Markov hydrological model Yellow River Source Region |
| ISSN号 | 2169-897X |
| DOI | 10.1029/2020JD034064 |
| 通讯作者 | Zhang, Yongyong(zhangyy003@igsnrr.ac.cn) |
| 英文摘要 | Traditional impact assessments of future changes on flow regimes mainly focus on streamflow magnitude and static land use, which are insufficient to capture entire characteristics of flow regime variations and future land use change. In this study, 18 flow regime metrics are adopted to fully characterize the streamflow hydrograph. The future changes are considered, including land use scenario in 2025 predicted by the Cellular Automata-Markov (CA-Markov), and climate change scenarios under three representative concentration pathways (RCPs) (i.e., RCP2.6, RCP4.5, and RCP8.5) obtained from five general circulation models (GCMs) for the period 2021-2030. Regional impacts of future land use and climate changes on flow regimes in the Yellow River Source Region are simulated and identified using distributed hydrological modeling and spatial classification. Results show that the increases in unused land (14.16%), and decreases in grassland (2.54%), glacier and snow cover (62.85%) are remarkable for the period 1980-2025. The flow regimes will be highly impacted in the source region for the RCP2.6 and RCP8.5 scenarios, but in the middle stream and downstream regions for the RCP4.5 scenario. Both the future land use and climate changes will increase flow magnitude for most regions, but their impacts on other flow regime metrics are not homogeneous. The climate change will play the dominant role in the flow regime variations, while the land use change will highly affect mean pre-flood runoff, frequency and duration of high flow events, and mean rates of positive and negative changes. Key Points Based on CA-Markov model, grassland, glacier and snow cover will be remarkably degraded in 2025 Impacts of future land use and climate changes on flow regimes are clustered to three robust classes Climate change results in flow regime variations, while land use change mainly impacts flow variability, frequency, and duration of high flow |
| WOS关键词 | HYDROLOGICAL ALTERATION ; TIBETAN PLATEAU ; MODEL ; RUNOFF ; SIMULATION ; COVER ; STABILIZATION ; BIODIVERSITY ; PROJECTIONS ; CALIBRATION |
| 资助项目 | National Natural Science Foundation of China[41730645] ; National Natural Science Foundation of China[41671024] ; Interdisciplinary Innovation Team, Chinese Academy of Sciences (CAS)[JCTD-2019-04] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000704189400032 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 资助机构 | National Natural Science Foundation of China ; Interdisciplinary Innovation Team, Chinese Academy of Sciences (CAS) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/165919]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Yongyong |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Wei,Zhang, Yongyong,Geng, Xin,et al. Impact Classification of Future Land Use and Climate Changes on Flow Regimes in the Yellow River Source Region, China[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2021,126(13):18. |
| APA | Wang, Wei,Zhang, Yongyong,Geng, Xin,&Tang, Qiuhong.(2021).Impact Classification of Future Land Use and Climate Changes on Flow Regimes in the Yellow River Source Region, China.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,126(13),18. |
| MLA | Wang, Wei,et al."Impact Classification of Future Land Use and Climate Changes on Flow Regimes in the Yellow River Source Region, China".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 126.13(2021):18. |
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。