Revisiting Major Dry Periods by Rolling Time Series Analysis for Human-Water Relevance in Drought

Yonca Cavus*, Kerstin Stahl, Hafzullah Aksoy

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Drought is increasingly gaining importance for society, humans, and the environment. It is analyzed commonly by the use of available hydroclimatic or hydrologic data with little in-depth consideration of specific major dry periods experienced over a region. Also, it is not a common practice to assess the probability of drought categories with a rolling time series and hence the changing knowledge for operational drought monitoring. A combination of such quantitative analysis with a comprehensive qualitative assessment of drought as a human-water relation aimed to fill this gap performing a case study in the Seyhan River Basin, Turkey. Six major dry periods were identified from the precipitation time series of 19 meteorological stations. Major dry periods were analyzed by rolling time series and full time series, and they were also analyzed individually. A major dry period could be important in terms of its duration while another in terms of its severity or intensity, and each with its own impact on the human-water relations that can be influential on the drought mitigation, management and governance. Significantly higher probabilities were calculated for extreme droughts with the use of individual major dry periods. An important outcome from the study is that drought is underestimated in practice with the sole use of the whole data record.

Original languageEnglish
Pages (from-to)2725-2739
Number of pages15
JournalWater Resources Management
Volume36
Issue number8
DOIs
Publication statusPublished - Jun 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s).

Funding

This study is supported by the DAAD “Research Grants – Bi-nationally Supervised Doctoral Degrees / Cotutelle” Program for which the authors are thankful. It is a contribution to the Prediction under Change Working Group under the Panta Rhei decade of International Association of Hydrological Sciences (IAHS). This study is supported by the DAAD “Research Grants – Bi-nationally Supervised Doctoral Degrees / Cotutelle” Program for which the authors are thankful. It is a contribution to the Prediction under Change Working Group under the Panta Rhei decade of International Association of Hydrological Sciences (IAHS).

FundersFunder number
International Association of Hydrological Sciences
Deutscher Akademischer Austauschdienst

    Keywords

    • Meteorological drought
    • Rolling time series
    • Seyhan River Basin
    • Spatiotemporal analysis
    • Standardized precipitation index

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