Investigating water budget dynamics in 18 river basins across the Tibetan Plateau through multiple datasets

doi:10.5194/hess-22-351-2018

	Investigating water budget dynamics in 18 river basins across the Tibetan Plateau through multiple datasets
	Liu, WB (Liu, Wenbin)1; Sun, FB (Sun, Fubao)1,2,8,9; Li, YZ (Li, Yanzhong)3; Zhang, GQ (Zhang, Guoqing)4,5; Sang, YF (Sang, Yan-Fang)1; Lim, WH (Lim, Wee Ho)1,6; Liu, JH (Liu, Jiahong)7; Wang, H (Wang, Hong)1; Bai, P (Bai, Peng)1
刊名	HYDROLOGY AND EARTH SYSTEM SCIENCES
	2018-01-16
卷号	22 期号:1 页码:351-371
关键词	CLIMATE-CHANGE NAM CO EVAPOTRANSPIRATION CHINA EVAPORATION VARIABILITY MOISTURE TREND SCALE LAKE
ISSN号	1027-5606
DOI	10.5194/hess-22-351-2018
英文摘要	The dynamics of basin-scale water budgets over the Tibetan Plateau (TP) are not well understood nowadays due to the lack of in situ hydro-climatic observations. In this study, we investigate the seasonal cycles and trends of water budget components (e.g. precipitation P, evapotranspiration ET and runoff Q) in 18 TP river basins during the period 1982-2011 through the use of multi-source datasets (e.g. in situ observations, satellite retrievals, reanalysis outputs and land surface model simulations). A water balance-based two-step procedure, which considers the changes in basin-scale water storage on the annual scale, is also adopted to calculate actual ET. The results indicated that precipitation (mainly snowfall from mid-autumn to next spring), which are mainly concentrated during June-October (varied among different monsoons-impacted basins), was the major contributor to the runoff in TP basins. The P, ET and Q were found to marginally increase in most TP basins during the past 30 years except for the upper Yellow River basin and some sub-basins of Yalong River, which were mainly affected by the weakening east Asian monsoon. Moreover, the aridity index (PET/P) and runoff coefficient (Q/P) decreased slightly in most basins, which were in agreement with the warming and moistening climate in the Tibetan Plateau. The results obtained demonstrated the usefulness of integrating multi-source datasets to hydrological applications in the data-sparse regions. More generally, such an approach might offer helpful insights into understanding the water and energy budgets and sustainability of water resource management practices of data-sparse regions in a changing environment.
WOS研究方向	Geology ; Water Resources
语种	英语
出版者	COPERNICUS GESELLSCHAFT MBH
WOS记录号	WOS:000422816600001
内容类型	期刊论文
源URL	[http://ir.itpcas.ac.cn/handle/131C11/8757]
专题	青藏高原研究所_图书馆
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China; 2.Hexi Univ, Ecol Inst Qilian Mt, Zhangye 734000, Peoples R China; 3.Nanjing Univ Informat Sci & Technol, Coll Hydrometeorol, Nanjing 210044, Jiangsu, Peoples R China; 4.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China; 5.CAS Ctr Excellent Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China; 6.Univ Oxford, Oxford Univ Ctr Environm, Environm Change Inst, Sch Geog & Environm, Oxford OX1 3QY, England; 7.China Inst Water Resources & Hydropower Res, Key Lab Simulat & Regulat Water Cycle River Basin, Beijing 100038, Peoples R China; 8.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 9.Chinese Acad Sci, Ctr Water Resources Res, Beijing 100101, Peoples R China.
推荐引用方式 GB/T 7714	Liu, WB ,Sun, FB ,Li, YZ ,et al. Investigating water budget dynamics in 18 river basins across the Tibetan Plateau through multiple datasets[J]. HYDROLOGY AND EARTH SYSTEM SCIENCES,2018,22(1):351-371.
APA	Liu, WB .,Sun, FB .,Li, YZ .,Zhang, GQ .,Sang, YF .,...&Bai, P .(2018).Investigating water budget dynamics in 18 river basins across the Tibetan Plateau through multiple datasets.HYDROLOGY AND EARTH SYSTEM SCIENCES,22(1),351-371.
MLA	Liu, WB ,et al."Investigating water budget dynamics in 18 river basins across the Tibetan Plateau through multiple datasets".HYDROLOGY AND EARTH SYSTEM SCIENCES 22.1(2018):351-371.