Future nutrient reduction needs in world's largest rivers to limit coastal eutrophication

Nkwasa, A. ORCID: https://orcid.org/0000-0002-8685-8854, Nakkazi, M.T., Chawanda, C.J., Tang, T. ORCID: https://orcid.org/0000-0002-2867-9241, Suresh, K., Beusen, A., Micella, I., Strokal, M., Kahil, T. ORCID: https://orcid.org/0000-0002-7812-5271, & van Griensven, A. (2026). Future nutrient reduction needs in world's largest rivers to limit coastal eutrophication. Environmental Research: Water 2 e025004. 10.1088/3033-4942/ae54c3.

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Project: Water Resources System Safe Operating Space in a Changing Climate and Society (SOS-WATER, HE 101059264), IntEgrated protection and Restoration apprOaches for natUral Lake EcoSystems (EUROLakes, HE 101157482), Inventive forecasting tools for adapting water quality management to a new climate (inventWater, H2020 956623)

Abstract

Riverine exports of total nitrogen (TN) and total phosphorus (TP) are major drivers of coastal eutrophication. However, few studies have quantified the reductions required to mitigate future eutrophication risks under changing socio-economic and climatic conditions. Here, we use three global water quality models (Integrated Model to Assess the Global Environment-Dynamic Global Nutrient Model, CoSWAT-WQ, and MARINA-Multi) to project TN and TP export loads from twenty four of the world’s largest river basins under a high-emission and high socio-economic growth scenario (SSP5-Representative Concentration Pathways 8.5). Our multi-model mean projections indicate that TN and TP exports from these basins could increase by 18% and 21%, respectively, by 2050 relative to 2010 export levels. To avoid the risk of future coastal eutrophication, we estimate reductions in TN and TP riverine exports to coastal waters of approximately 67% and 64%, respectively by 2050. In particular, major river basins such as the Nile, Niger, Yangtze, Ganges, Danube, São Francisco, and Zhujiang will require nutrient load reductions exceeding 50% for both TN and TP. Ultimately, achieving the necessary nutrient reductions will require coordinated, targeted interventions to protect our global coastal ecosystems. Meanwhile, the variability among model simulations underscores the need to advance global water quality modeling frameworks to reduce uncertainties and better support science-based policy making.

Item Type: Article
Research Programs: Biodiversity and Natural Resources (BNR)
Biodiversity and Natural Resources (BNR) > Water Security (WAT)
Depositing User: Luke Kirwan
Date Deposited: 10 Apr 2026 09:03
Last Modified: 10 Apr 2026 09:03
URI: https://pure.iiasa.ac.at/21468

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