Snowmelt modeling using two melt-rate models in the Urumqi River watershed, Xinjiang Uyghur Autonomous Region, China

doi:10.1007/s11629-018-5365-8

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2019 > Vol16 No.10

	Snowmelt modeling using two melt-rate models in the Urumqi River watershed, Xinjiang Uyghur Autonomous Region, China
	Saydi, Muattar; Ding, Jian-li; Sagan, Vasit; Qin, Yan
刊名	JOURNAL OF MOUNTAIN SCIENCE
	2019
卷号	16 期号:10 页码:2271-2284
关键词	Snowmelt runoff Mountainous watershed Urumqi River Temperature Radiation
ISSN号	1672-6316
DOI	10.1007/s11629-018-5365-8
文献子类	Article
英文摘要	In this paper, the performance of the classic snowmelt runoff model (SRM) is evaluated in a daily discharge simulation with two different melt models, the empirical temperature-index melt model and the energy-based radiation melt model, through a case study from the data-sparse mountainous watershed of the Urumqi River basin in Xinjiang Uyghur Autonomous Region of China. Theclassic SRM, which uses the empirical temperature-index method, and a radiation-based SRM, incorporating shortwave solar radiation and snow albedo, were developed to simulate daily runoff for the spring and summer snowmelt seasons from 2005 to 2012, respectively. Dailymeteorological and hydrological data were collected from three stations located in the watershed. Snowcover area (SCA) was extracted from satellite images. Solarradiation inputs were estimated based on a digital elevation model (DEM). Theresults showed that the overall accuracy of the classic SRM and radiation-based SRM for simulating snowmelt discharge was relatively high. Theclassic SRM outperformed the radiation-based SRM due to the robust performance of the temperature-index model in the watershed snowmelt computation. Nosignificant improvement was achieved by employing solar radiation and snow albedo in the snowmelt runoff simulation due to the inclusion of solar radiation as a temperature-dependent energy source and the local pattern of snowmelt behavior throughout the melting season. Ourresults suggest that the classic SRM simulates daily runoff with favorable accuracy and that the performance of the radiation-based SRM needs to be further improved by more ground-measured data for snowmelt energy input.
电子版国际标准刊号	1993-0321
语种	英语
WOS记录号	WOS:000489956000005
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/46591]
专题	Journal of Mountain Science_Journal of Mountain Science-2019_Vol16 No.10
推荐引用方式 GB/T 7714	Saydi, Muattar,Ding, Jian-li,Sagan, Vasit,et al. Snowmelt modeling using two melt-rate models in the Urumqi River watershed, Xinjiang Uyghur Autonomous Region, China[J]. JOURNAL OF MOUNTAIN SCIENCE,2019,16(10):2271-2284.
APA	Saydi, Muattar,Ding, Jian-li,Sagan, Vasit,&Qin, Yan.(2019).Snowmelt modeling using two melt-rate models in the Urumqi River watershed, Xinjiang Uyghur Autonomous Region, China.JOURNAL OF MOUNTAIN SCIENCE,16(10),2271-2284.
MLA	Saydi, Muattar,et al."Snowmelt modeling using two melt-rate models in the Urumqi River watershed, Xinjiang Uyghur Autonomous Region, China".JOURNAL OF MOUNTAIN SCIENCE 16.10(2019):2271-2284.