干旱区生态环境知识资源中心(Arid): An approach to simulate the climate-driven streamflow in the data-scarce mountain basins of Northwest China

Arid

DOI	10.1007/s12040-019-1117-6
	An approach to simulate the climate-driven streamflow in the data-scarce mountain basins of Northwest China
	Wang, Chong 1,2,3; Xu, Jianhua 2,3; Chen, Yaning4 ; Li, Weihong4
通讯作者	Xu, Jianhua
来源期刊	JOURNAL OF EARTH SYSTEM SCIENCE
ISSN	2347-4327
EISSN	0973-774X
出版年	2019
卷号	128 期号:4
英文摘要	With global warming, the inland river basin in the arid region of Northwest China is facing a serious water supply situation. The headwater basin of the inland river is located in the high-altitude mountainous region, and there are few meteorological observation sites, so it is difficult to apply distributed hydrological models and other models based on the physical mechanism of runoff generation to evaluate climate change and its impact on streamflow. To simulate the climate-driven streamflow in data-scarce mountain basins of Northwest China, we developed an integrated approach by using downscaled reanalysis data, Mann-Kendall test, ensemble empirical mode decomposition and backpropagation artificial neural networks together with the weights connection method. We validated the approach in the Kaidu River basin located in the Tianshan mountains. The results showed that the streamflow increased 12.9% by 2.5x108 mml:mspace m3 per decade with the warm and wet climate, while the average annual temperature increased 5.2% at a rate of 0.3 degrees C per decade and the precipitation increased 37.3% at a rate of 16.4 mm per decade during the period from 1980 to 2015. The impact of temperature variability on streamflow was 44.21 +/- 2.08% and the impact of precipitation variability on streamflow was 55.79 +/- 2.08%.
英文关键词	Climate change impact streamflow data-scarce mountainous basins Northwest China
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000463218400003
WOS关键词	EMPIRICAL MODE DECOMPOSITION ; KAIDU RIVER ; HYBRID MODEL ; ARID REGION ; SWAT MODEL ; XINJIANG ; TRENDS ; VARIABILITY ; RUNOFF ; PREDICTION
WOS类目	Geosciences, Multidisciplinary ; Multidisciplinary Sciences
WOS研究方向	Geology ; Science & Technology - Other Topics
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216918
作者单位	1.Shanghai Univ Engn Sci, Sch Social Sci, Shanghai 201620, Peoples R China; 2.East China Normal Univ, Sch Geog Sci, Minist Educ, Key Lab Geog Informat Sci, Shanghai 200241, Peoples R China; 3.East China Normal Univ, Res Ctr East West Cooperat China, Shanghai 200241, Peoples R China; 4.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
推荐引用方式 GB/T 7714	Wang, Chong,Xu, Jianhua,Chen, Yaning,et al. An approach to simulate the climate-driven streamflow in the data-scarce mountain basins of Northwest China[J]. 中国科学院新疆生态与地理研究所,2019,128(4).
APA	Wang, Chong,Xu, Jianhua,Chen, Yaning,&Li, Weihong.(2019).An approach to simulate the climate-driven streamflow in the data-scarce mountain basins of Northwest China.JOURNAL OF EARTH SYSTEM SCIENCE,128(4).
MLA	Wang, Chong,et al."An approach to simulate the climate-driven streamflow in the data-scarce mountain basins of Northwest China".JOURNAL OF EARTH SYSTEM SCIENCE 128.4(2019).