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Special Issue "Use of Water Stable Isotopes in Hydrological Process"

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: 1 December 2019

Special Issue Editors

Guest Editor
Dr. Polona Vreča

Jožef Stefan Institute, Department of Environmental Sciences, Ljubljana, Slovenia
Website | E-Mail
Interests: water cycle; isotopes; changes in time and space; measurement traceability; statistical analysis; water management
Co-Guest Editor
Dr. Zoltán Kern

Research Centre for Astronomy and Earth Sciences, MTA, Hungary
Website | E-Mail
Interests: isotopes in precipitation; quaternary climate and environmental changes; statistical analysis of isotopic time series

Special Issue Information

Dear Colleagues,

Water is vital for all known forms of life and is transported continuously through the different spheres of Earth with the water cycle: Evaporation, transpiration, condensation, precipitation, runoff, etc. As such, fresh water plays an important role in the world economy as well. Cities have been built around reliable sources of water since ancient times, and a considerable amount of available freshwater is used for irrigation and other agricultural activities to supply humanity.

Stable (16O, 17O, 18O, 1H, 2H) and radioactive (3H) water isotopes as well as other tracers are powerful tools to track the path of water molecules in the water cycle from precipitation to surface and groundwater and, further, to drinking water supplies. They are commonly used to trace the source of water and its flow pathways or to quantify exchanges of water, solutes, and particulates between hydrological compartments during different hydrological processes. In the last decade, a considerable number of studies have been published on the use of water isotopes in hydrological processes and the number is ever growing due to the development of new measurement techniques (i.e., laser spectrometry) that allow measurements of stable isotope ratios at an even higher resolution. However, accurate and precise measurements are required to provide new data comparable in space and time or with data obtained with classical isotope ratio mass spectrometry.

This Special Issue addresses the current state-of-the-art methods, applications, and hydrological process interpretations using stable and radioactive water isotopes in the whole water cycle. Contributions related to measurement traceability (comparison of different measurement techniques), conceptual network development, and long-term maintenance on local to regional scale, as well as papers on different statistical data evaluation approaches, are highly welcome.

Dr. Polona Vreča
Dr. Zoltán Kern
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Water cycle
  • Isotope hydrology
  • Measurement traceability
  • Precipitation (rain and snow)
  • Surface water
  • Groundwater
  • Water management
  • Networks and data bases
  • Statistical evaluation

Published Papers (1 paper)

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Open AccessArticle Local Meteoric Water Line of Northern Chile (18° S–30° S): An Application of Error-in-Variables Regression to the Oxygen and Hydrogen Stable Isotope Ratio of Precipitation
Water 2019, 11(4), 791; https://doi.org/10.3390/w11040791
Received: 13 March 2019 / Revised: 11 April 2019 / Accepted: 11 April 2019 / Published: 16 April 2019
PDF Full-text (2057 KB) | HTML Full-text | XML Full-text | Supplementary Files
In this study, a revision of the previously published data on hydrogen (2H/1H) and oxygen (18O/16O) stable isotope ratio of precipitation in northern Chile is presented. Using the amount-weighted mean data and the combined standard [...] Read more.
In this study, a revision of the previously published data on hydrogen (2H/1H) and oxygen (18O/16O) stable isotope ratio of precipitation in northern Chile is presented. Using the amount-weighted mean data and the combined standard deviation (related to both the weighted mean calculation and the spectrometric measurement), the equation of the local meteoric line calculated by error-in-variables regression is as follows: Northern Chile EIV-LMWL: δ2H = [(7.93 ± 0.15) δ18O] + [12.3 ± 2.1]. The slope is similar to that obtained by ordinary least square regression or other types of regression methods, whether weighted or not (e.g., reduced major axis or major axis) by the amount of precipitation. However, the error-in-variables regression is more accurate and suitable than ordinary least square regression (and other types of regression models) where statistical assumptions (i.e., no measurement errors in the x-axis) are violated. A generalized interval of δ2H = ±13.1‰ is also proposed to be used with the local meteoric line. This combines the confidence and prediction intervals around the regression line and appears to be a valid tool for distinguishing outliers or water samples with an isotope composition significantly different from local precipitation. The applicative examples for the Pampa del Tamarugal aquifer system, snow samples and the local geothermal waters are discussed. Full article
(This article belongs to the Special Issue Use of Water Stable Isotopes in Hydrological Process)

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