干旱区生态环境知识资源中心(Arid): Reproducing surface water isoscapes of 5 18 O and 5 2 H across China: A machine learning approach

Arid

DOI	10.1016/j.jhydrol.2024.131565
	Reproducing surface water isoscapes of 5 18 O and 5 2 H across China: A machine learning approach
	Wu, Huawu; Fan, Hongxiang; Li, Jing; Yue, Fu-Jun; Lian, Ergang; Fu, Congsheng; Lei, Ruiyu; Ding, Mengyao; Liu, Jinzhao; Li, Xiao-Yan
通讯作者	Fan, HX
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2024
卷号	638
英文摘要	The availability of comprehensive stable isotope data in China is limited, which hinders a thorough understanding of interpreting runoff sources and land-atmosphere water fluxes on a national scale. In this study, we have undertaken the task of establishing a dataset of surface water isotopes (5 18 O and 5 2 H) to create surface water isoscapes, and identify its controlling factors. Our analysis, utilizing a random forest model (RF), indicates that the isotopic patterns observed in precipitation are well-reflected in river water across China. Specifically, the 5 18 O isoscape in river demonstrates enrichment in the Western arid zone and depletion in the Tibetan Plateau. These patterns are strongly influenced by hydro-climatic factors such as relative humidity, precipitation, and catchment properties, such as elevation. Notably, elevation is a significant variable in the RF model, governing the isotopic composition (5 18 O and d-excess) of rivers throughout China, primarily due to the rainout effect resulting in isotopically-depleted precipitation from lowlands to elevated mountain regions. In contrast, surface water d-excess isoscape reveals a more complex spatial variability in China, mainly associated with contrasting moisture sources including maritime vapor from tropical oceans and inland recycling vapor. In addition, secondary evaporation processes resulted from cumulative dams and developed irrigation systems also contribute to this variability. Hence, catchment-scale evapotranspiration and instream evaporative processes contribute to the enrichment of downstream river water isotopes. The predictive surface water isoscapes will help understand the impact of changes in the hydrological cycle on a larger scale and provide practical guidance for future monitoring efforts and isotopic simulations.
英文关键词	Isoscapes Stable isotopes Secondary evaporation processes River water Random Forest model
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001261226500001
WOS关键词	SPATIAL-DISTRIBUTION ; TIBETAN PLATEAU ; RIVER WATER ; PRECIPITATION ; DELTA-O-18 ; STREAMFLOW ; CONNECTIVITY ; DEUTERIUM ; ISOTOPES ; MOISTURE
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/2XILL650/404596
推荐引用方式 GB/T 7714	Wu, Huawu,Fan, Hongxiang,Li, Jing,et al. Reproducing surface water isoscapes of 5 18 O and 5 2 H across China: A machine learning approach[J],2024,638.
APA	Wu, Huawu.,Fan, Hongxiang.,Li, Jing.,Yue, Fu-Jun.,Lian, Ergang.,...&Li, Xiao-Yan.(2024).Reproducing surface water isoscapes of 5 18 O and 5 2 H across China: A machine learning approach.JOURNAL OF HYDROLOGY,638.
MLA	Wu, Huawu,et al."Reproducing surface water isoscapes of 5 18 O and 5 2 H across China: A machine learning approach".JOURNAL OF HYDROLOGY 638(2024).