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article · Sustainability

Impacts of Climate Change on Hydrological Regimes in the Congo River Basin

202322 citationsOpen accessUniversité de Kinshasa (UNIKIN)

In plain language

Surface water is vital for municipal supplies, fishing, navigation, irrigation, and hydropower, but global warming threatens to alter its availability and distribution. In the Congo River Basin, where 75 million people face recurrent floods and droughts, hydrological regimes were assessed across three future time periods up to 2100. Using a calibrated Soil and Water Assessment Tool model alongside downscaled data from ten regional climate models, projections were evaluated under two climate scenarios. Future streamflow changes across the basin range between minus 31.8 percent and plus 9.2 percent under moderate emissions, and from minus 42.5 percent to plus 55.5 percent under high emissions. The most upstream reaches face the largest relative variations. Overall discharge is projected to decline in central and southern sections while rising in north-western and south-eastern areas, threatening agricultural activities, power generation, and ecological balance.

Key takeaways

  • A Soil and Water Assessment Tool model was calibrated to project Congo River Basin streamflow through 2100 under two climate scenarios.
  • Streamflow changes are projected to range from minus 31.8 percent to plus 9.2 percent under RCP4.5, and from minus 42.5 percent to plus 55.5 percent under RCP8.5.
  • The largest relative changes in river flow are expected to occur in the most upstream reaches of the river network.
  • Discharge is projected to decrease in central and southern parts of the basin while increasing in north-western and south-eastern regions.
  • Projected streamflow decreases threaten future agriculture, hydropower generation, and wider water availability.

Why it matters

Tens of millions of people rely on the Congo River Basin for drinking water, food production, transport, and electricity. Understanding how climate change will alter water availability allows regional planners and vulnerable communities to prepare for worsening droughts and floods, safeguarding crucial sectors such as farming and hydropower infrastructure before acute shortages occur.

Commercialisation angle

This research provides baseline hydrological modelling that can inform water resource management, hydropower planning, and agricultural risk mitigation. Potential users include regional water authorities, infrastructure developers, and climate adaptation programme designers. The findings reflect early-stage predictive modelling rather than a ready-to-deploy commercial tool, serving as an evidence base for policy and long-term infrastructure investment.

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Abstract

Surface water resources are essential for a wide range of human activities, such as municipal water supply, fishing, navigation, irrigation, and hydropower. Their regime is also linked to environmental sustainability, water-related risks, human health, and various ecosystem services. Global warming is expected to modify surface water availability, quality, and distribution and therefore affect water use productivity as well as the incidence of water-related risks. Thus, it is important for communities to plan and adapt to the potential impacts of climate change. The Congo River Basin, home to 75 million people, is subject to recurrent flood and drought events, which are expected to worsen as a result of climate change. This study aims to assess future modifications of the hydrological regime of the Congo River and the socio–economic impacts of these projected changes for three future periods: 2011–2041, 2041–2070, and 2071–2100. A Soil and Water Assessment Tool (SWAT) model of the Congo River Basin was developed, calibrated, and validated using daily rainfall observations combined with daily time series of precipitation, temperatures, relative humidity, solar radiation, and wind speed derived from the WFDEI (Watch Forced Era Interim) reanalysis data set. The outputs of ten Regional Climate Models (RCMs) from the Coordinated Downscaling Experiment (CORDEX-AFRICA) were statistically downscaled to obtain future climate time series, considering two Representative Concentration Pathways: RCP8.5 and RCP4.5. The calibrated model was used to assess changes in streamflow in all reaches of the Congo River. Results suggest relative changes ranging from −31.8% to +9.2% under RCP4.5 and from −42.5% to +55.5% under RCP 8.5. Larger relative changes occur in the most upstream reaches of the network. Results also point to an overall decrease in discharge in the center and southern parts of the basin and increases in the northwestern and southeastern parts of the basin under both emission scenarios, with RCP8.5 leading to the most severe changes. River discharge is likely to decrease significantly, with potential consequences for agriculture, hydropower production, and water availability for human and ecological systems.

Research topics

  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Hydrological Forecasting Using AI

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DOI: 10.3390/su15076066

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