中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Long-Term Baseflow Responses to Projected Climate Change in the Weihe River Basin, Loess Plateau, China

文献类型:期刊论文

作者Zhang, Junlong10; Zhao, Panpan9; Zhang, Yongqiang8; Cheng, Lei6,7; Song, Jinxi5; Fu, Guobin4; Wang, Yetang10; Liu, Qiang3; Lyu, Shixuan2,10; Qi, Shanzhong10
刊名REMOTE SENSING
出版日期2022-10-01
卷号14期号:20页码:17
关键词baseflow Weihe River Basin Loess Plateau climate change General Circulation Models
DOI10.3390/rs14205097
通讯作者Zhao, Panpan(zhaopanpan@ncwu.edu.cn)
英文摘要Climate change is a significant force influencing catchment hydrological processes, such as baseflow, i.e., the contribution of delayed pathways to streamflow in drought periods and is associated with catchment drought propagation. The Weihe River Basin is a typical arid and semi-arid catchment on the Loess Plateau in northwest China. Baseflow plays a fundamental role in the provision of water and environmental functions at the catchment scale. However, the baseflow variability in the projected climate change is not well understood. In this study, forcing meteorological data were derived from two climate scenarios (RCP4.5 and RCP8.5) of three representative general circulation models (CSIRO-Mk3-6-0, MIROC5, and FGOALSg2) in CMIP5 and then were used as inputs in the Soil and Water Assessment Tool (SWAT) hydrological model to simulate future streamflow. Finally, a well-revised baseflow separation method was implemented to estimate the baseflow to investigate long-term (historical (1960-2012) and future (2010-2054) periods) baseflow variability patterns. We found (1) that baseflow showed a decreasing trend in some simulations of future climatic conditions but not in all scenarios (p < 0.05), (2) that the contribution of baseflow to streamflow (i.e., baseflow index) amounted to approximately 45%, with a slightly increasing trend (p <= 0.001), and (3) an increased frequency of severe hydrological drought events in the future (2041-2053) due to baseflows much lower than current annual averages. This study benefits the scientific management of water resources in regional development and provides references for the semi-arid or water-limited catchments.
WOS关键词LAND-USE CHANGE ; FLOW INDEX ; RECESSION ANALYSIS ; CHANGE IMPACTS ; SWAT MODEL ; WATER ; GROUNDWATER ; STREAMFLOW ; RUNOFF ; CATCHMENT
资助项目National Natural Science Foundation of China[42001034] ; National Natural Science Foundation of China[42101038] ; National Natural Science Foundation of China[41701022] ; National Natural Science Foundation of China[51679200] ; National Natural Science Foundation of China[42207100] ; Key Research and Development Program of Shaanxi[2019ZDLSF05-02] ; Project for Outstanding Youth Innovation Team in the Universities of Shandong Province[2019KJH011] ; Natural Science Foundation of the Shandong Province[ZR2019BD059] ; Postdoctoral Funding of China[2018M642692] ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP)[2019QZKK0903] ; Key Science and Technology Program of Henan Province, China[222102320083]
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:000873690200001
资助机构National Natural Science Foundation of China ; Key Research and Development Program of Shaanxi ; Project for Outstanding Youth Innovation Team in the Universities of Shandong Province ; Natural Science Foundation of the Shandong Province ; Postdoctoral Funding of China ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP) ; Key Science and Technology Program of Henan Province, China
源URL[http://ir.igsnrr.ac.cn/handle/311030/186230]  
专题中国科学院地理科学与资源研究所
通讯作者Zhao, Panpan
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.Univ Bristol, Dept Civil Engn, Bristol BS8 1TR, Avon, England
3.Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China
4.CSIRO Land & Water, Wembley, WA 6913, Australia
5.Northwest Univ, Coll Urban & Environm Sci, Shaanxi Key Lab Earth Surface Syst & Environm Car, Xian 710127, Peoples R China
6.Hubei Prov Collaborat Innovat Ctr Water Resources, Wuhan 430072, Peoples R China
7.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
9.North China Univ Water Resources & Elect Power, Coll Water Resources, Zhengzhou 450045, Peoples R China
10.Shandong Normal Univ, Coll Geog & Environm, Jinan 250358, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Junlong,Zhao, Panpan,Zhang, Yongqiang,et al. Long-Term Baseflow Responses to Projected Climate Change in the Weihe River Basin, Loess Plateau, China[J]. REMOTE SENSING,2022,14(20):17.
APA Zhang, Junlong.,Zhao, Panpan.,Zhang, Yongqiang.,Cheng, Lei.,Song, Jinxi.,...&Zhang, Guotao.(2022).Long-Term Baseflow Responses to Projected Climate Change in the Weihe River Basin, Loess Plateau, China.REMOTE SENSING,14(20),17.
MLA Zhang, Junlong,et al."Long-Term Baseflow Responses to Projected Climate Change in the Weihe River Basin, Loess Plateau, China".REMOTE SENSING 14.20(2022):17.

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来源:地理科学与资源研究所

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