Repository logo
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Scholalry Output
  3. Publications
  4. New insights into diffusive kinetic fractionation during liquid condensation under supersaturated environment: an alternative approach for isotope tagging of ground-level water vapour
 
  • Details

New insights into diffusive kinetic fractionation during liquid condensation under supersaturated environment: an alternative approach for isotope tagging of ground-level water vapour

Source
Isotopes in Environmental and Health Studies
ISSN
10256016
Date Issued
2023-01-01
Author(s)
Ganguly, Akash
Padhya, Virendra
Oza, Harsh
Strauch, Gerhard
Deshpande, Rajendrakumar D.
DOI
10.1080/10256016.2022.2153126
Volume
59
Issue
1
Abstract
Stable water isotopes in ground-level vapour are key to estimating water exchange between geospheres. Their sampling, however, is limited to laser-absorption spectrometers and satellite observations, having inherent shortcomings. This study investigates diffusive kinetic fractionation during liquid condensation under supersaturated environment, providing a cost-effective, reliable way of sampling ground-level vapour isotopes (<sup>18</sup>O, <sup>2</sup>H). Experiments were undertaken at three locations in India with ‘liquid’ samples collected from condensation of ambient air at 0°C. Simultaneously, pristine ‘vapour’ was sampled via cryogenic-trapping using liquid nitrogen–alcohol slush at –78°C. The ‘liquid’ condensed under supersaturation was progressively more depleted in <sup>18</sup>O, and less enriched in <sup>2</sup>H than expected under equilibrium fractionation, with an increasing degree of supersaturation expressed as saturation index (S <inf>i</inf>). This study revealed: (1) S <inf>i</inf>, molecular density, Rh, T together control the extent of isotopic kinetic fractionation. (2) The presence of diffusive concentration gradient inhibits the flow of heavier isotopes during liquid condensation. (3) The stochastic nature of the process cannot be explained using a physics-based model alone. The artificial neural network model is hence deployed to sample δ <sup>18</sup>O (δ <sup>2</sup>H) within –0.24 ± 1.79‰ (0.53 ± 11.23 ‰) of true value. (4) The approach can be extended to ground-validate isotope-enabled general circulation models and satellite observations.
Unpaywall
URI
https://d8.irins.org/handle/IITG2025/27041
Subjects
Diffusive gradient | hydrogen-2 | isotope hydrology | kinetic isotope fractionation | machine learning | oxygen-18 | supersaturation | vapour sampling
IITGN Knowledge Repository Developed and Managed by Library

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify