Estimation of evaporative loss based on the stable isotope composition of water using Hydrocalculator

Grzegorz Skrzypek, Adam Mydłowski, Shawan Dogramaci, Paul Hedley, John J. Gibson, Pauline Grierson

    Research output: Contribution to journalArticlepeer-review

    164 Citations (Scopus)

    Abstract

    © 2015 The Authors. Accurate quantification of evaporative losses to the atmosphere from surface water bodies is essential for calibration and validation of hydrological models, particularly in remote arid and semi-arid regions, where intermittent rivers are generally minimally gauged. Analyses of the stable hydrogen and oxygen isotope composition of water can be used to estimate evaporative losses from individual pools in such regions in the absence of instrumental data but calculations can be complex, especially in highly variable systems. In this study, we reviewed and combined the most recent equations required for estimation of evaporative losses based on the revised Craig-Gordon model. The updated procedure is presented step-by-step, increasing ease of replication of all calculations. The main constraints and sources of uncertainties in the model were also evaluated. Based on this procedure we have designed a new software, Hydrocalculator, that allows quick and robust estimation of evaporative losses based on isotopic composition of water. The software was validated against measures of field pan evaporation under arid conditions in northwest Australia as well as published data from other regions. We found that the major factor contributing to the overall uncertainty in evaporative loss calculations using this method is uncertainty in estimation of the isotope composition of ambient air moisture.
    Original languageEnglish
    Pages (from-to)781-789
    JournalJournal of Hydrology
    Volume523
    DOIs
    Publication statusPublished - Apr 2015

    Fingerprint

    Dive into the research topics of 'Estimation of evaporative loss based on the stable isotope composition of water using Hydrocalculator'. Together they form a unique fingerprint.

    Cite this