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May 9, 2026Modeling Earth Systems and Environment2 citationsOpen Access

Integrated drought assessment in Morocco: a combined approach using meteorological, hydrological, and remote sensing observations (1975–2023)

FOFatima Ezzahrae OuelkabirALAtman Ait LamqademLSLaila Saafadi

Key Points

  • This study aims to provide a comprehensive assessment of drought dynamics in Morocco using integrated meteorological, hydrological, and remote sensing data.
  • Analyzed data from 1975-2023 in the Ahmed El Hansali Dam basin.
  • Utilized a combined multi-index approach including SPI, SDI, and NDVI.
  • Examined meteorological and hydrological data from multiple sources including Landsat.
  • SPI and SDI indicated increased drought frequency and severity since the early 1990s, with SPI values below -1.5 and SDI near -1.6 during peak dry periods.
  • NDVI showed reduced values during drought years, with low correlation with SPI and SDI.
  • Spatial analyses indicated forested highlands were more resilient to drought compared to agricultural areas.

Abstract

Abstract Drought is an increasing concern in Morocco’s semi-arid regions, where water resources are under growing pressure from climate variability and land degradation. Most previous studies on drought monitoring in Morocco have examined meteorological or hydrological dimensions separately, overlooking vegetation dynamics. This fragmented approach limits the ability to capture the full spectrum of drought impacts across natural and managed ecosystems. This study assesses drought dynamics in the Ahmed El Hansali Dam basin, located in the Upper Oum Er-Rbia watershed, during 1975–2023. The novelty of this research lies in the long-term, combined assessment of meteorological, hydrological, and remote sensing indices at the basin scale, providing one of the most comprehensive drought evaluations for Morocco’s inland watersheds. A multi-index approach combining Standardized Precipitation Index (SPI), Streamflow Drought Index (SDI), and Normalized Difference Vegetation Index (NDVI) was applied to assess meteorological, hydrological, and vegetation responses to drought. Meteorological data from five stations, hydrological inflows at the dam, and Landsat-derived NDVI composites were utilized. The SPI and SDI revealed a marked increase in drought frequency and severity beginning in the early 1990s, with the most critical period between 2020 and 2023. SPI values below − 1.5 and SDI near − 1.6 confirmed intensifying precipitation deficits and declining inflows. The NDVI showed moderate interannual variability with lower values during drought years, though weak correlation with SPI and SDI suggests that vegetation response is influenced by altitude, land cover, and soil water retention, and agricultural practices including irrigation. Spatial analyses highlighted the greater resilience of forested highlands compared to lower-elevation agricultural areas. Overall, the combined use of these three indices offers a robust picture of drought evolution in the basin. By bridging the gap between single-dimension studies and proposing a comprehensive multi-source monitoring framework, this work provides a more holistic understanding of drought impacts and delivers actionable insights for water resource managers and policymakers.

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Cite This Study

Ouelkabir et al. (2026) studied this question.

synapsesocial.com/papers/69fed123b9154b0b8287852bhttps://doi.org/10.1007/s40808-026-02815-7
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