Inter-Annual and Seasonal Variability of Flows

Delivering Climate-Smart Environmental Flow Reference Values

Journal Article (2022)
Author(s)

Sergio Salinas Rodriquez (TU Delft - Water Resources, The Southern Border College)

NC van de Giesen (TU Delft - Water Resources)

Michael McClain (IHE Delft Institute for Water Education, TU Delft - Water Resources)

Research Group
Water Resources
Copyright
© 2022 Sergio Salinas Rodriquez, N.C. van de Giesen, M.E. McClain
DOI related publication
https://doi.org/10.3390/w14091489
More Info
expand_more
Publication Year
2022
Language
English
Copyright
© 2022 Sergio Salinas Rodriquez, N.C. van de Giesen, M.E. McClain
Research Group
Water Resources
Issue number
9
Volume number
14
Pages (from-to)
1-29
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Environmental flow (eflow) reference values play a key role in environmental water science and practice. In Mexico, eflow assessments are set by a norm in which the frequency of occurrence is the managing factor to integrate inter-annual and seasonal flow variability components into environmental water reserves. However, the frequency parameters have been used indistinctively between streamflow types. In this study, flow variability contributions in 40 rivers were evaluated based on hydrology, climate, and geography. Multivariate assessments were conducted based on a standardized contribution index for the river types grouping (principal components) and significant differences (one-way PERMANOVA). Eflow requirements for water allocation were calculated for different management objectives according to the frequency-of-occurrence baseline and an adjustment to reflect the differences between river types. Results reveal that there are significant differences in the flow variability between hydrological conditions and streamflow types (p-values < 0.05). The performance assessment reveals that the new frequency of occurrence delivers climate-smart reference values at least at an acceptable level (for 85–87% of the cases, r2 ≥ 0.8, slope ≤ 3.1), strengthening eflow assessments and implementations.