A Lake Cyanobacteria Colony Dynamics Simulation Supported by SPH

Addressing the prediction of Harmful Cyanobacterial Blooms (CyanoHABs) is critical due to the increasing strain on global water resources from climate change and overexploitation. This paper introduces a combined physical and biological modeling approach for simulating the 3D migration, growth, and decay of cyanobacteria colonies in water bodies. Utilizing the Smoothed Particle Hydrodynamics (SPH) method, our model accommodates complex geometries with high accuracy. This adaptable open-source framework significantly enhances the simulation of cyanobacteria migration in three dimensions, a capability often lacking in existing environmental lake simulators. Moreover, it is being integrated into an advanced early warning system, representing a digital twin of the water body. This integration aims to improve the prediction and management of CyanoHABs, contributing to safeguard water quality and ecosystem health.

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Published
2024-12-15
DOI
https://doi.org/10.1109/wsc63780.2024.10838985
Primary Topic
Modular Robots and Swarm Intelligence
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article
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article

A Lake Cyanobacteria Colony Dynamics Simulation Supported by SPH

José L. Risco‐Martín, J. Orozco, Eva Besada-Portas, Samuel Ferrero-Losada
Modular Robots and Swarm Intelligence
article

A Lake Cyanobacteria Colony Dynamics Simulation Supported by SPH

José L. Risco‐Martín, J. Orozco, Eva Besada-Portas, Samuel Ferrero-Losada
article en

Abstract

Addressing the prediction of Harmful Cyanobacterial Blooms (CyanoHABs) is critical due to the increasing strain on global water resources from climate change and overexploitation. This paper introduces a combined physical and biological modeling approach for simulating the 3D migration, growth, and decay of cyanobacteria colonies in water bodies. Utilizing the Smoothed Particle Hydrodynamics (SPH) method, our model accommodates complex geometries with high accuracy. This adaptable open-source framework significantly enhances the simulation of cyanobacteria migration in three dimensions, a capability often lacking in existing environmental lake simulators. Moreover, it is being integrated into an advanced early warning system, representing a digital twin of the water body. This integration aims to improve the prediction and management of CyanoHABs, contributing to safeguard water quality and ecosystem health.

Universidad Complutense de Madrid (ES)
Life below water
Openalex Percentile: Top 74%
Modular Robots and Swarm Intelligence
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A Lake Cyanobacteria Colony Dynamics Simulation Supported by SPH — José L. Risco‐Martín, J. Orozco, et al. · (2024) | TGRS Research Map | TGRS