in

Temporal evolution of spatial water quality heterogeneity in Oman’s largest water supply reservoir


Abstract

Maintaining optimal water quality in reservoirs is a global challenge, particularly in arid or semi-arid regions where these water bodies are critical yet vulnerable ecosystems. A prerequisite for effective environmental preservation is the precise delineation of spatiotemporal and vertical variability in water-quality variables, especially across a complete seasonal cycle. This study was therefore designed to systematically investigate and document the detailed spatial and seasonal variation in the water quality of the Wadi Dayqah Dam (Oman). This characterization was based on a robust, year-long dataset spanning 19 separate sampling occasions and incorporating high-resolution depth profile measurements of temperature, dissolved oxygen ((:text{D}text{O})), oxidation-reduction potential ((:text{O}text{R}text{P})), pH, turbidity and chlorophyll-a from 20 distinct depth-profiling stations. Self-organizing map (:(text{S}text{O}text{M})) was used to identify spatial zones, while thermal stratification dynamics were quantified using the Schmidt Stability Index ((:text{S}text{S}text{I})) and the Thermocline Strength Index ((:text{T}text{S}text{I})). This integrated approach combines high-resolution spatial clustering with complementary stratification metrics to reveal zone-specific water quality patterns typically obscured by single-point monitoring. (:text{S}text{O}text{M}) differentiated distinctly phased lacustrine, transitional, and riverine regions with spatial heterogeneity in water quality, with pronounced longitudinal gradients in temperature, (:text{D}text{O}), turbidity, and chlorophyll-a across zones, an aspect traditionally overlooked by localized single-point, as opposed to distributed, observation. This spatial heterogeneity highlights the importance of zone-specific reservoir management strategies. On-site, observations revealed pronounced yearly patterns of thermal stratification and mixing, with the most intense and persistent stratification occurring in the lacustrine zone, where Schmidt stability reached a maximum of approximately 1144 (:text{J}{:text{m}}^{-2}). Notably, chemical stratification closely followed the temporal dynamics of thermal stratification, resulting in pronounced hypolimnetic anoxia in the deeper lacustrine waters, typically persisting from May to October. In contrast, suspended particulate matter and organic substances exerted a stronger control on turbidity and chlorophyll-a concentrations, with the latter reaching peak values of approximately 27 (:{upmu:}text{g}:text{L}^{-1}). Recurrent severe hypolimnetic anoxia was observed throughout the stratified period, indicating persistent water quality impairment in the deeper zones of this arid-region reservoir.

Similar content being viewed by others

Seasonal variations in water quality and hydrological dynamics in a tropical reservoir driven by rainfall, runoff, and anthropogenic activities

Mapping reservoir water quality from Sentinel-2 satellite data based on a new approach of weighted averaging: Application of Bayesian maximum entropy

Comprehensive monitoring of the spatiotemporal variation of water quality and its associated human health risks in Luvuvhu river catchment, Vhembe biosphere reserve, South Africa

Acknowledgements

The authors thank Sultan Qaboos University (SQU) for financial support under His Majestry (HM) grant number SR/ENG/CAED/22/01. The Sultan Qaboos University research group DR/RG/28: “Climate Change, Water, and Environmental Modeling” is gratefully acknowledged.

Funding

The authors thank Sultan Qaboos University (SQU) for financial support under His Majesty (HM) grant number SR/ENG/CAED/22/01.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to
Mohammad Reza Nikoo or Reza Kerachian.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary Material 1 (download DOCX )

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Cite this article

Rashedi, M.R., Nikoo, M.R., Vanda, S. et al. Temporal evolution of spatial water quality heterogeneity in Oman’s largest water supply reservoir.
Sci Rep (2026). https://doi.org/10.1038/s41598-026-54947-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/s41598-026-54947-6

Keywords

  • Chemical stratification
  • Reservoir zoning
  • Spatiotemporal patterns
  • Thermal stratification
  • Wadi Dayqah Dam
  • Water quality monitoring


Source: Resources - nature.com

Deconstructing environmental discourse in Valmiki’s Joothan and Byapari’s Interrogating My Chandal Life: eco-casteism in Dalit childhood

Role of woody plants in carbon sequestration: evidence from Sulula Mofa Forest, Northern Ethiopia

Back to Top