MARINA - Model to Assess River Inputs of pollutaNts to seAs

The benefits
In short- Process-based water quality models including nutrients, antibiotics, pesticides, plastics and other pollutants
- Simulates pollutant inputs to rivers and lakes and exports to coastal waters, by source at global and regional scales
- Applicable for 10,226 sub-basins of the world
- Supports policy and management
- Part of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP)
The MARINA family consists of interdisciplinary, sub-basin scale models that quantify the loads of multiple pollutants into water systems, their sources and trends under changing climate and socio-economic developments.
MARINA modelling approach
We develop multi-pollutant modeling approaches to enhance our knowledge of sources and trends of pollutant flows (nutrients, plastics, chemicals) in rivers worldwide under global change. We develop the sub-basin scale approach that promotes new thinking on solutions for clean water with synergies and trade-offs in pollution control. Our approaches can help learn about pollution causes and interactions, and support debates on effective solutions in over 10,000 river sub-basins. We study interactions in pollution control. We teach and communicate our modeling approaches to society. The figures below show the modeling approach and an example of the model outputs.
Why we develop the MARINA models
We aim to contribute to fair, effective and integrated solutions for clean water for all: “fair” in ensuring that reduction responsibilities are shared among polluting sectors, “effective” in reducing multiple pollutants simultaneously, and “integrated” in connecting global actions with local strategies for pollution reduction. We aim for solutions that can be adopted by society (the figures below).

Figure 1. The MARINA modeling approaches for multiple pollutants and sub-basins.
Strokal, M., Kroeze, C., Wang, M., Bai, Z., & Ma, L. (2016). The MARINA model (Model to Assess River Inputs of Nutrients to seAs): Model description and results for China. Science of the Total Environment, 562, 869-888. https://doi.org/10.1016/j.scitotenv.2016.04.071(the first version of the model for China)
Ural-Janssen, A., Meers, E., Ros, G. H., Vingerhoets, R., & Strokal, M. (2025). Mitigating nutrient losses in Europe: Synergistic solutions for air and water pollution by 2050. Resources, Conservation and Recycling, 222, 108472. https://doi.org/https://doi.org/10.1016/j.resconrec.2025.108472
Micella, I., Kroeze, C., Bak, M. P., Tang, T., Wada, Y., & Strokal, M. (2024). Future scenarios for river exports of multiple pollutants by sources and sub‐basins worldwide: Rising pollution for the Indian Ocean. Earth's Future, 12, e2024EF004712. https://doi.org/10.1029/ 2024EF004712
Zhang, Q., Li, Y., Kroeze, C., Xu, W., Gai, L., Vitsas, M., Ma, L., Zhang, F., & Strokal, M. (2024). A global assessment of glyphosate and AMPA inputs into rivers: Over half of the pollutants are from corn and soybean production. Water Research, 261, 121986. https://doi.org/10.1016/j.watres.2024.121986
Bak, M. P., Micella, I., Jones, E. R., Kumar, R., Nkwasa, A., Tang, T., van Vliet, M. T. H., Wang, M., & Strokal, M. (2025). Future river exports of nutrients, plastics, and chemicals worldwide under climate-driven hydrological changes. Environmental Research Letters, 20(9). https://doi.org/10.1088/1748-9326/adf860
Get in touch
Questions about the MARINA models? Ask our contactperson.