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DOI | 10.1016/j.scitotenv.2021.149503 |
Changes in climate and snow cover and their synergistic influence on spring runoff in the source region of the Yellow River | |
Li, Zhaoguo; Lyu, Shihua; Chen, Hao; Ao, Yinhuan; Zhao, Lin; Wang, Shaoying; Zhang, Shaobo; Meng, Xianhong | |
通讯作者 | Meng, XH (通讯作者),Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Fond Surface Pmcess & Climate Change Cold, Lanzhou 730000, Peoples R China. |
发表日期 | 2021 |
ISSN | 0048-9697 |
EISSN | 1879-1026 |
卷号 | 799 |
英文摘要 | As an important runoff-producing area, the runoff variation in the source region of the Yellow River (SRYR) has critical importance for the whole basin in broad aspects. In recent decades, the climate in the SRYR has undergone drastic changes, which affected runoff across different time scales. Many studies have focused on runoff in the SRYR with a long-time series, and presented a discordant relationship between precipitation and runoff. How-ever, differences in this relationship over different time scales are ignored. Here, by using multi-source observa-tion data and correlation analysis, climate elasticity, and principal component analysis methods, we document the changes in climate and snow cover and their synergistic influence on spring runoff. When the 20-year period was innovatively adopted, the runoff and precipitation coincided well during last three periods (1960-2019). The yearly precipitation presented a bimodal pattern, with the most significant increase in late spring and early sum-mer. A bimodal pattern also appeared in annual runoff, and the rate of increase was much greater than that of precipitation (2.51%/year vs 1.01%/year). The runoff during main increase period (particularly in April) showed a high correlation with the remote sensing snow depth from November to March, but a poor correlation with snow depth from meteorological stations. Climate warming in the SRYR was much more reflected in minimum surface temperature (0.235 degrees C/year) than in air temperature minimum (0.081 degrees C/year) in last 20 years. However, the principal component analysis shows that the effect of temperature on spring runoff was obviously less than that of snow cover. A 1% variation in snow depth in the SRYR from November to March caused a 0.43% variation in runoff in April, anda 1% variation in snow days caused a 0.82% variation in runoff. This study will bring to light for understanding the evolution mechanism of spring runoff in the SRYR. (c) 2021 Published by Elsevier B.V. |
关键词 | TEMPERATURE TRENDSTIBETAN PLATEAUDEPTH DATAPRECIPITATIONIMPACTSHYDROLOGYBASIN |
英文关键词 | Climate change; Snow depth; Spring runoff; Climate elasticity; Principal component analysis |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology |
WOS类目 | Environmental Sciences |
WOS记录号 | WOS:000701271300001 |
来源期刊 | SCIENCE OF THE TOTAL ENVIRONMENT |
来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/254570 |
作者单位 | [Li, Zhaoguo; Chen, Hao; Ao, Yinhuan; Zhao, Lin; Wang, Shaoying; Meng, Xianhong] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Fond Surface Pmcess & Climate Change Cold, Lanzhou 730000, Peoples R China; [Lyu, Shihua; Zhang, Shaobo] Chengdu Univ Informat Technol, Sch Atmospher Sci, Plateau Atmosphere & Environm Key Lab Sichuan Pro, Chengdu 610225, Sichuan, Peoples R China; [Lyu, Shihua] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Zhaoguo,Lyu, Shihua,Chen, Hao,et al. Changes in climate and snow cover and their synergistic influence on spring runoff in the source region of the Yellow River[J]. 中国科学院西北生态环境资源研究院,2021,799. |
APA | Li, Zhaoguo.,Lyu, Shihua.,Chen, Hao.,Ao, Yinhuan.,Zhao, Lin.,...&Meng, Xianhong.(2021).Changes in climate and snow cover and their synergistic influence on spring runoff in the source region of the Yellow River.SCIENCE OF THE TOTAL ENVIRONMENT,799. |
MLA | Li, Zhaoguo,et al."Changes in climate and snow cover and their synergistic influence on spring runoff in the source region of the Yellow River".SCIENCE OF THE TOTAL ENVIRONMENT 799(2021). |
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