Microalgae growth dynamics and physical-biochemical coupled effects versus aquatic biomass productivity

微藻生长动态和物理生化耦合效应与水生生物量生产率

• 批准号: RGPIN-2014-03796
• 负责人: NguyenQuang, Tri
• 金额: $ 1.75万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=610650
• 关键词: Microalgae; growth; dynamics; physical; biochemical

Research will be carried out through key aspects of algae growth dynamics in order to highlight the controlling parameters for biomass productivity of photosynthetic cultures. The interactions between microalgae growth and nutrients or light resources vary with time and space, and under certain conditions, can lead to unstable situations such as harmful algal blooms (HAB). Technological advances have expanded our capabilities for observing and visualizing the watershed, providing unprecedented opportunities not only for the detection of blooms, but also for the physical, chemical, and biological factors that trigger their onset, development, proliferation, and ultimate demise. However, despite these rapidly expanding capabilities, microalgae patterns will continue to be undersampled for the analyses and preventing perspective, because of the wide range of spatial-temporal scales relevant to these complex phenomena. Therefore, we must rely on mathematical models to help interpret our observations. Such models can take many forms, ranging from conceptual frameworks, to simple analytic formulation and complex numerical models that can assimilate data. This proposal aims to provide unique predictive scenarios for the spatial-temporal behavior of microalgae within their reproduction processes as a function of light, climate factors and nutrient resources. Focusing on the conception of a fully integrated modelling framework, the research program will be developed through three cohesive themes: 1) algae dynamics in large scale of the nature; 2) algae behaviours at laboratory scale; 3) applications of algae studies within the complex water monitoring and distribution system. These will be based on the reciprocal approach to develop both the datasets through both experimental and field measurements and mathematical models, and then use these to validate each other. The research will advance the knowledge on algae growth dynamics under different nutrient levels by looking at their collective behaviour, under various scenarios of water absorption and light intensity, temperature variations and nutrient recycling which is mediated primarily by bacterial activity. The long term modelling goal is to formulate models more quantitative and which critically compare to data; to develop data assimilation techniques to improve the predictive power of models; and to connect model development to the field and sampling design. Results from the modelling will bring a clear explanation to stakeholders using water treatment techniques. They will also enable to setup the alarm system for risk levels for HAB problems which are common in many industrial and agricultural provinces of Canada, and countries around the world.

研究将通过藻类生长动力学的关键方面进行，以突出光合培养物生物量生产力的控制参数。微藻生长与营养物质或光照资源的相互作用随时间和空间的变化而变化，在一定条件下可能导致有害藻华（HAB）等不稳定情况。技术的进步扩大了我们观察和可视化分水岭的能力，不仅为发现水华提供了前所未有的机会，而且为引发水华发生、发展、扩散和最终消亡的物理、化学和生物因素提供了前所未有的机会。然而，尽管这些能力迅速扩大，但由于与这些复杂现象相关的时空尺度范围广泛，微藻模式在分析和预防方面仍将继续取样不足。因此，我们必须依靠数学模型来帮助解释我们的观察结果。这种模型可以采取多种形式，从概念框架到简单的分析公式和能够吸收数据的复杂数值模型。本研究旨在为微藻繁殖过程中光照、气候因子和营养资源对其时空行为的影响提供独特的预测情景。