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Development of a web-based modelling framework for harmful algal blooms transport simulation using open-source

Rufu Qin¹, Shuo Yang¹, Zhounan Xu¹

¹State Key Laboratory of Marine Geology, Tongji University, Shanghai, China.

Journal of Environmental Management

|November 3, 2022

Summary

This study introduces a web-based model for Harmful Algal Blooms (HABs) transport simulation, offering an interactive platform for data-poor situations. The framework improves forecasting and understanding of HABs development using an enhanced particle-tracking scheme.

Keywords:

Fractional brownian motion Lagrangian particle-tracking Open-source Red tide Web-based modelling WebGIS

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Area of Science:

Environmental Science
Oceanography
Computational Modeling

Background:

Traditional desktop models have limitations in interactive simulation for complex environmental processes.
Harmful Algal Blooms (HABs) pose significant ecological and economic challenges, necessitating effective transport simulation tools.
Existing tools often lack integration, requiring multiple platforms for simulation workflows.

Purpose of the Study:

To develop and present a consolidated, web-based modeling framework for Harmful Algal Blooms (HABs) transport simulation.
To provide an intuitive and interactive environment for HABs transport analysis, especially in data-poor scenarios.
To enhance the accuracy and efficiency of HABs transport forecasting using an improved particle-tracking method.

Main Methods:

Development of a WebGIS application integrating the entire simulation workflow.
Implementation of an improved Lagrangian particle-tracking scheme utilizing fractional Brownian motion.
Utilization of open-source JavaScript libraries for building the web-based platform.

Main Results:

The web-based platform offers user-friendly interfaces for input preparation, simulation configuration, and result visualization/analysis.
A case study of red tide transport in Qinhuangdao coastal waters demonstrated qualitative agreement with remote sensing data.
The model effectively forecasts temporal and spatial transport pathways and provides qualitative understanding of HABs development.

Conclusions:

The developed web-based modeling framework provides a one-step solution for HABs transport simulation.
The framework's interactive nature and improved particle-tracking scheme offer advantages for studying HABs in data-limited conditions.
The prototype shows promising performance for real-world applications in HABs transport simulation and research.