DOI: 10.5194/hess-19-3419-2015
Scopus记录号: 2-s2.0-84938631080
论文题名: The Global Network of Isotopes in Rivers (GNIR): Integration of water isotopes in watershed observation and riverine research
作者: Halder J ; , Terzer S ; , Wassenaar L ; I ; , Araguás-Araguás L ; J ; , Aggarwal P ; K
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 8 起始页码: 3419
结束页码: 3431
语种: 英语
Scopus关键词: Catchments
; Digital storage
; Groundwater
; Isotopes
; Precipitation (meteorology)
; Reservoirs (water)
; Rivers
; Runoff
; Constrained models
; Global precipitation
; Hydrological process
; Isotopic composition
; Prediction model
; River discharge
; Seasonal variation
; Sinusoidal functions
; Water resources
; amplitude
; catchment
; data set
; database
; freshwater ecosystem
; isotopic analysis
; isotopic composition
; observational method
; precipitation (climatology)
; prediction
; river discharge
; river water
; runoff
; seasonal variation
; snowmelt
; stable isotope
; water storage
; watershed
英文摘要: We introduce a new online global database of riverine water stable isotopes (Global Network of Isotopes in Rivers, GNIR) and evaluate its longer-term data holdings. Overall, 218 GNIR river stations were clustered into three different groups based on the seasonal variation in their isotopic composition, which was closely coupled to precipitation and snowmelt water runoff regimes. Sinusoidal fit functions revealed phases within each grouping and deviations from the sinusoidal functions revealed important river alterations or hydrological processes in these watersheds. The seasonal isotopic amplitude of δ18O in rivers averaged 2.5 ‰, and did not increase as a function of latitude, like it does for global precipitation. Low seasonal isotopic amplitudes in rivers suggest the prevalence of mixing and storage such as occurs via lakes, reservoirs, and groundwater. The application of a catchment-constrained regionalized cluster-based water isotope prediction model (CC-RCWIP) allowed for direct comparison between the expected isotopic compositions for the upstream catchment precipitation with the measured isotopic composition of river discharge at observation stations. The catchment-constrained model revealed a strong global isotopic correlation between average rainfall and river discharge (R2 = 0.88) and the study demonstrated that the seasonal isotopic composition and variation of river water can be predicted. Deviations in data from model-predicted values suggest there are important natural or anthropogenic catchment processes like evaporation, damming, and water storage in the upstream catchment. © Author(s) 2015. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78454
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Isotope Hydrology Section, International Atomic Energy Agency, Vienna, Austria
Recommended Citation:
Halder J,, Terzer S,, Wassenaar L,et al. The Global Network of Isotopes in Rivers (GNIR): Integration of water isotopes in watershed observation and riverine research[J]. Hydrology and Earth System Sciences,2015-01-01,19(8)