干旱区生态环境知识资源中心(Arid): Quantifying moisture recycling of a leeward oasis in arid central Asia using a Bayesian isotopic mixing model

Arid

DOI	10.1016/j.jhydrol.2022.128459
	Quantifying moisture recycling of a leeward oasis in arid central Asia using a Bayesian isotopic mixing model
	Wang, Shengjie; Wang, Liwei; Zhang, Mingjun; Shi, Yudong; Hughes, Catherine E.; Crawford, Jagoda; Zhou, Jinlong; Qu, Deye
通讯作者	Zhang, MJ
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2022
卷号	613
英文摘要	Locally recycled moisture from transpiration and surface evaporation is of great importance in the terrestrial hydrological cycle, especially in the widely distributed oases across arid central Asia. Quantitative assessment of the proportional contribution of recycled moisture to local precipitation, i.e., the recycling ratio, is useful to understand the land-air interaction as well as the anthropogenic impact on the regional water cycle. Here we analyzed the stable hydrogen and oxygen isotopes in precipitation samples collected at six stations across the Kaxgar-Yarkant Oasis in the western Tarim Basin of central Asia from April 2018 to June 2020. Using this data, the moisture recycling ratio in this typical oasis was assessed using a Bayesian three-component isotopic mixing model. For the plain stations, the annual weighted mean delta 18O value in precipitation ranged from-5.94 %o to-1.46 %o, and the mountain station has a lower annual mean precipitation isotopic ratio. The average recycling ratio during the summer months ranged between 17.0 % and 63.9 % for each sampling station in the Kaxgar-Yarkant Oasis, and the proportional contribution from transpiration ranged from 15.1 % to 61.3 %. The contribution of plant transpiration to local precipitation is much larger than that of surface evaporation. The recycled portion in total precipitation amount may increase the local precipitation under an oasis expansion background but is insufficient to change the arid background. In addition, the Bayesian isotopic mixing model is promising to determine the recycling ratio in an arid setting, and provides more spatial details than the climate reanalysis-based calculation.
英文关键词	Precipitation Stable isotope Moisture recycling Oasis Arid central Asia
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000862475900004
WOS关键词	DESERT RIPARIAN FORESTS ; WATER-USE STRATEGIES ; TARIM RIVER-BASIN ; STABLE-ISOTOPE ; HYDROGEN ISOTOPES ; TIANSHAN MOUNTAINS ; PRECIPITATION ; EVAPORATION ; EVAPOTRANSPIRATION ; OXYGEN
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393504
推荐引用方式 GB/T 7714	Wang, Shengjie,Wang, Liwei,Zhang, Mingjun,et al. Quantifying moisture recycling of a leeward oasis in arid central Asia using a Bayesian isotopic mixing model[J],2022,613.
APA	Wang, Shengjie.,Wang, Liwei.,Zhang, Mingjun.,Shi, Yudong.,Hughes, Catherine E..,...&Qu, Deye.(2022).Quantifying moisture recycling of a leeward oasis in arid central Asia using a Bayesian isotopic mixing model.JOURNAL OF HYDROLOGY,613.
MLA	Wang, Shengjie,et al."Quantifying moisture recycling of a leeward oasis in arid central Asia using a Bayesian isotopic mixing model".JOURNAL OF HYDROLOGY 613(2022).