Contribution of Snow-Melt Water to the Streamflow over the Three-River Headwater Region, China

doi:10.3390/rs13081585

	Contribution of Snow-Melt Water to the Streamflow over the Three-River Headwater Region, China
	Li, Sisi 3,4,5; Liu, Mingliang 6; Adam, Jennifer C.6; Pi, Huawei 3,4,5; Su, Fengge 1; Li, Dongyue 7; Liu, Zhaofei 2; Yao, Zhijun 2
刊名	REMOTE SENSING
	2021-04-01
卷号	13 期号:8 页码:18
关键词	snowmelt VIC model streamflow SWE Three-River Headwater Region
DOI	10.3390/rs13081585
通讯作者	Adam, Jennifer C.(jcadam@wsu.edu)
英文摘要	Snowmelt water is essential to the water resources management over the Three-River Headwater Region (TRHR), where hydrological processes are influenced by snowmelt runoff and sensitive to climate change. The objectives of this study were to analyse the contribution of snowmelt water to the total streamflow (f(Q,snow)) in the TRHR by applying a snowmelt tracking algorithm and Variable Infiltration Capacity (VIC) model. The ratio of snowfall to precipitation, and the variation of the April 1 snow water equivalent (SWE) associated with f(Q,snow), were identified to analyse the role of snowpack in the hydrological cycle. Prior to the simulation, the VIC model was validated based on the observed streamflow data to recognize its adequacy in the region. In order to improve the VIC model in snow hydrology simulation, Advanced Scanning Microwave Radiometer E (ASMR-E) SWE product data was used to compare with VIC output SWE to adjust the snow parameters. From 1971 to 2007, the averaged f(Q,snow) was 19.9% with a significant decreasing trend over entire TRHR (p < 0.05).The influence factor resulted in the rate of change in f(Q,snow) which were different for each sub-basin TRHR. The decreasing rate of f(Q,snow) was highest of 0.24%/year for S_Lantsang, which should be due to the increasing streamflow and the decreasing snowmelt water. For the S_Yangtze, the increasing streamflow contributed more than the stable change of snowmelt water to the decreasing f(Q,snow) with a rate of 0.1%/year. The April 1 SWE with the minimum value appearing after 2000 and the decreased ratio of snowfall to precipitation during the study period, suggested the snow solid water resource over the TRHR was shrinking. Our results imply that the role of snow in the snow-hydrological regime is weakening in the TRHR in terms of water supplement and runoff regulation due to the decreased f(Q,snow) and snowfall.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20060202] ; National Natural Science Foundation of China[41661144030]
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	MDPI
WOS记录号	WOS:000644672900001
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/161782]
专题	中国科学院地理科学与资源研究所
通讯作者	Adam, Jennifer C.
作者单位	1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Henan Univ, Key Res Inst Yellow River Civilizat & Sustainable, Kaifeng 475001, Peoples R China 4.Henan Univ, Collaborat Innovat Ctr Yellow River Civilizat Joi, Kaifeng 475001, Peoples R China 5.Henan Univ, Minist Educ, Kaifeng 475001, Peoples R China 6.Washington State Univ, Dept Civil & Environm Engn, Pullman, WA 99164 USA 7.Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90095 USA
推荐引用方式 GB/T 7714	Li, Sisi,Liu, Mingliang,Adam, Jennifer C.,et al. Contribution of Snow-Melt Water to the Streamflow over the Three-River Headwater Region, China[J]. REMOTE SENSING,2021,13(8):18.
APA	Li, Sisi.,Liu, Mingliang.,Adam, Jennifer C..,Pi, Huawei.,Su, Fengge.,...&Yao, Zhijun.(2021).Contribution of Snow-Melt Water to the Streamflow over the Three-River Headwater Region, China.REMOTE SENSING,13(8),18.
MLA	Li, Sisi,et al."Contribution of Snow-Melt Water to the Streamflow over the Three-River Headwater Region, China".REMOTE SENSING 13.8(2021):18.