0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Human Health Effects Policy & Risk Sign in to save

Rapid development of fast and flexible environmental models: the Mobius framework v1.0

Geoscientific model development 2021 14 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Magnus Dahler Norling, Leah Jackson‐Blake, José-Luis Guerrero Calidonio, James Sample

Summary

This paper describes Mobius, an open-source framework for building environmental models that allows researchers without advanced programming skills to create complex water quality and ecological models. Better modeling tools can help scientists predict how microplastics and other pollutants spread through watersheds.

Abstract. The Mobius model building system is a new open-source framework for building fast and flexible environmental models. Mobius makes it possible for researchers with limited programming experience to build performant models with potentially complicated structures. Mobius models can be easily interacted with through the MobiView graphical user interface and through the Python programming language. Mobius was initially developed to support catchment-scale hydrology and water-quality modelling but can be used to represent any system of hierarchically structured ordinary differential equations, such as population dynamics or toxicological models. Here, we demonstrate how Mobius can be used to quickly prototype several different model structures for a dissolved organic carbon catchment model and use built-in auto-calibration and statistical uncertainty analysis tools to help decide on the best model structures. Overall, we hope the modular model building platform offered by Mobius will provide a step forward for environmental modelling, providing an alternative to the “one size fits all” modelling paradigm. By making it easier to explore a broader range of model structures and parameterisations, users are encouraged to build more appropriate models, and in turn this improves process understanding and allows for more robust modelling in support of decision making.

Sign in to start a discussion.

More Papers Like This

Article Tier 2

Hitting the sweet spot of complexity: Reasons why the development of new custom-tailored models is still warranted and should be encouraged in aquatic sciences

This paper discusses why process-based computer models of freshwater ecosystems need to strike a balance between complexity and usability. Such models are increasingly used to study how pollutants like microplastics move and accumulate in aquatic environments.

Article Tier 2

The Full Multi: An open-source framework for modelling the transport and fate of nano- and microplastics in aquatic systems

Researchers released an open-source computer model called "Full Multi" that simulates how nano- and microplastics of different sizes and densities fragment, clump with particles, get coated by organisms, and move through rivers and lakes over time. The freely available framework helps scientists and regulators predict microplastic concentrations in aquatic environments under various pollution scenarios.

Article Tier 2

Comment on egusphere-2023-939

This comment paper proposes a framework for building river network models from geographic information system data to study environmental processes in rivers. Improved river modeling tools help predict how microplastics are transported and distributed through river networks to coastal ecosystems.

Article Tier 2

Integrated Simulation Frameworks for Assessing the Environmental Impact of Chemical Pollutants in Aquatic Systems

This review explores how computer simulation frameworks can model the movement and impact of chemical pollutants, including microplastics, in rivers, lakes, and coastal waters. These tools combine knowledge of water flow, chemistry, and biology to predict where pollutants go and what harm they cause. Such modeling is valuable for helping policymakers decide where to invest in water treatment to best protect human health from microplastic exposure.

Article Tier 2

Modeling the transport of microplastics along river networks

Researchers built a mathematical model to predict how microplastics travel through river networks, combining water flow dynamics with estimates of human plastic inputs. They tested the model against real-world data from three river systems worldwide and found it reliably predicted microplastic concentrations. The tool could help identify pollution hotspots and guide cleanup priorities across entire river basins.

Share this paper