Next-generation models to predict cyanobacteria harmful algal blooms

预测蓝藻有害藻华的下一代模型

• 批准号: DP190101848
• 负责人: Prof David Hamilton
• 金额: $ 33.31万
• 依托单位: Griffith University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-04-02 至 2023-04-01
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190101848
• 关键词: Next; generation; models; predict; cyanobacteria

This project aims to address the need for improved predictions of cyanobacteria (blue-green algae) harmful algal blooms. Accurate predictions of blooms with computer models are important to support management strategies to prevent their occurrence. This project is expected to generate new knowledge of strain-level variation in cyanobacteria that leads to toxic blooms. This project will lead to new knowledge of the significance of strain-level variation in cyanobacteria harmful algal blooms, how strains influence toxin production and models for prediction of bloom and toxins. The project will generate significant benefits for water security for the purposes human consumption and recreation, and ecosystem health.

该项目旨在解决改进对蓝藻(蓝藻)有害藻华的预测的需求。用计算机模型对水华进行准确的预测对于支持防止水华发生的管理策略是很重要的。该项目预计将产生有关导致有毒水华的蓝藻菌株水平变化的新知识。该项目将导致对蓝藻有害藻华的菌株水平变化的意义、菌株如何影响毒素产生以及藻华和毒素预测模型的新认识。该项目将在水安全、人类消费和娱乐以及生态系统健康方面产生重大效益。