Tongal (2026) Analysing Spatiotemporal Complexity of Precipitation Using Sample Entropy and Wavelet Spectrum

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Identification

• Journal: Water Resources Management
• Year: 2026
• Date: 2026-06-26
• Authors: Hakan Tongal
• DOI: 10.1007/s11269-026-04818-6

Research Groups

• Department of Hydrology, Faculty of Engineering, University of Antalya
• Institute of Climate Change, Turkish Ministry of Environment and Forestry

Short Summary

This study investigates spatiotemporal changes in precipitation dynamics within the Antalya Basin over 1970–2017, revealing shifts in periodicity, frequency, and complexity that may disrupt water resource planning.

Objective

• Investigate the spatiotemporal variability of precipitation dynamics in the Antalya Basin

Study Configuration

• Spatial Scale: Regional scale within the Antalya Basin (approximately 18,000 km²)
• Temporal Scale: Daily data from 1970 to 2017

Methodology and Data

• Models used: None mentioned
• Data sources: Daily precipitation data from eight meteorological stations

Main Results

• Significant shifts in precipitation periodicity, frequency, and complexity were observed.
• Sample entropy values indicated higher complexity in the northern and western basin (approximately 1.5 times greater).
• Periodic fluctuations and increased irregularity in precipitation dynamics were observed from 1999 to 2017.

Contributions

• This study provides new insights into the evolving hydrological characteristics of the Antalya Basin, highlighting potential risks for water resource planning and management.
• The findings can inform decision-making processes for mitigating climate change impacts in sensitive regions.

Funding

• Not specified

Citation

@article{Tongal2026Analysing,
  author = {Tongal, Hakan},
  title = {Analysing Spatiotemporal Complexity of Precipitation Using Sample Entropy and Wavelet Spectrum},
  journal = {Water Resources Management},
  year = {2026},
  doi = {10.1007/s11269-026-04818-6},
  url = {https://doi.org/10.1007/s11269-026-04818-6}
}