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Four Decades of Baseflow Drought Analysis Reveals Varying Contributions of Climatic Drivers and Physical Controls

  • Parnian Ghaneei
  • , Ehsan Foroumandi
  • , Kerstin Stahl
  • , Hoori Ajami
  • , Niko Wanders
  • , Hamid Moradkhani*
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

While the impacts of subsurface fluxes on mediating hydrologic response to droughts are often ignored, several studies indicate that baseflow can sustain rivers during droughts and decrease the vulnerability of water supplies. Therefore, given the increasing impacts of droughts on economic and environmental issues, understanding the baseflow drought (BFD) evolution and its drivers are critical. In this study, we quantify and analyze the long-term evolution of BFD characteristics across the Contiguous United States. We use long-term daily baseflow values of DeepBase data set and explainable machine learning models to identify and rank the climatic and physical drivers of BFD. Our analysis reveals notable regional disparities in BFDs, with western regions, particularly the Southwest, experiencing increased frequency and prolonged durations, while much of the eastern areas show declining trends. During the past decade, BFD frequency has been governed mainly by anomalies in the atmospheric water balance and by soil properties. Its duration has been primarily influenced by hydrogeologic attributes, and its intensity has been modulated most strongly by topographic setting. Highlighting the non-stationary and complex nature of BFD mechanisms, our results have practical implications for water resource management and drought adaptation strategies.

Original languageEnglish
Article numbere2025EF006934
JournalEarth's Future
Volume14
Issue number1
DOIs
Publication statusPublished - Jan 2026

Bibliographical note

Publisher Copyright:
© 2026. The Author(s).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

Keywords

  • baseflow
  • drought
  • explainable machine learning
  • Shapley additive Explanation

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