Please use this identifier to cite or link to this item: http://117.252.14.250:8080/jspui/handle/123456789/7157
Title: Temporal and spatial variation of the stable isotopes in the waters of Sutlej and Beas rivers
Authors: Krishan, Gopal
Arya, Vinay
Rao, M. S.
Keywords: Stable isotopes
Sutlej
Beas
Bist interfuve
Groundwater recharge
Issue Date: 2022
Publisher: Springer
Citation: Discover Water (2022) 2:15
Abstract: In the present study, the spatial and temporal variation of the values of stable isotopes (δ18O and δ2 H) of river water and spatial variation of values of groundwater and rainfall have been evaluated. The water samples from seven stations of Sutlej river and Beas river each, fourteen stations of groundwater (deep and shallow), and twelve stations of rainfall were collected at different times from 2008 to 2015. The water samples were analyzed for stable isotopes (δ18O and δ2 H) and the values were expressed with units per mil (or per thousand). The box and whisker plots of values of δ18O, δ2 H, and d-excess for each station of both the rivers Sutlej and Beas were plotted. The isotopic water lines have been used to identify the evaporation and precipitation sources. Kendall’s correlation coefficient has been used to know the similarity in the isotopic composition of different sources. Linear regression was performed between the δ-values of 18O, 2H, d-excess, geographic factors, and climatic factors. The results showed the water of Beas river has enriched values of stable isotopes than the Sutlej river. At each station of both rivers, the isotopic composition varied significantly with time. The regression results did not show any correlation between the δ-values and climate factors indicating the sources of water during diferent seasons of the year. The regression between δ-values and geographical factors was also weak. Improvement in the value of R2 has taken place when multiple linear regression was done considering latitude, longitude, and elevation as independent variables. Still, the value of R2 is not equal to 1. Multiple linear regression had also been performed considering the rainfall, temperature, and relative humidity together. The isotope characterization of water from different sources is useful for understanding various hydrological processes and the scientific management of the water resources in the study area.
URI: http://117.252.14.250:8080/jspui/handle/123456789/7157
Appears in Collections:Research papers in International Journals

Files in This Item:
File Description SizeFormat 
Restricted Acess.pdf411.81 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.