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Global warming

Climate Change Exacerbates Flood Risks in Downstream Nigeria

Strategic Insights

— 1 min read

Climate change has significantly increased flood risks in downstream Nigeria, driven by altered hydrology, dam operations, and land-use changes. Research from Niger Delta University employed machine learning and geospatial analysis to identify key environmental drivers and predict flood-prone areas. The study found that downstream regions exhibited greater flood susceptibility than upstream areas, with flood extents rising by 10.9% in August and 39.8% in October from 2018 to 2024.

Key Takeaways:

  • The study analyzed flood patterns, identified key environmental drivers, and predicted flood-prone areas through an integrated machine learning and geospatial analysis approach.
  • Data sources included Synthetic Aperture Radar (SAR) imagery from Sentinel-1, rainfall measurements, Shuttle Radar Topography Mission (SRTM) elevation data, and surface water level records.
  • Machine learning models Random Forest (RF), Support Vector Machine (SVM), and Artificial Neural Network (ANN) were applied using geospatial tools such as Google Earth Engine and ArcGIS 10.5 to assess flood dynamics.
  • Downstream regions (elevation: 78-235.1 m) exhibited greater flood susceptibility than upstream areas (up to 1399.43 m).
  • Flood extents rose by 10.9% in August (from 2441.91 km2 in 2018 to 2707.75 km2 in 2024) and by 39.8% in October (from 3083.44 km2 to 4311.55 km2).
  • The RF model achieved the highest accuracy (92%), outperforming SVM (88%) and ANN (85%).
  • Inundated areas increased from 20 to 35% of downstream zones.
  • Rainfall intensity rose by 15-20%, with annual totals exceeding 4311 mm in some areas.
  • Forest cover declined by 15-20%, further exacerbating flood risks.
  • Mitigation strategies include 10-15% reforestation, embankment construction, and machine learning-driven early warning systems, which can reduce flood damage by up to 30%.

Statistics:

  • Flood extents rose by 10.9% in August from 2018 to 2024.
  • Flood extents rose by 39.8% in October from 2018 to 2024.
  • Downstream regions exhibited greater flood susceptibility than upstream areas.
  • Inundated areas increased from 20 to 35% of downstream zones.
  • Rainfall intensity rose by 15-20% from 2018 to 2024.
  • Forest cover declined by 15-20% from 2018 to 2024.

Sources:

  • Assessing the impact of climate change on flood patterns in downstream Nigeria using machine learning and geospatial techniques (2018-2024). Discover Geoscience, 2025, 3(1):1-31.
  • DOI: 10.1007/s44288-025-00178-7
  • Publisher: Springer
  • https://doi-org.sdpl.idm.oclc.org/10.1007/s44288-025-00178-7

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