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Sensitivity Analysis of a Cyanobacterial Growth and Movement Model under Two Different Flow Regimes

机译:两种不同流态下蓝细菌生长运动模型的敏感性分析

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Bloom-forming and toxin-producing cyanobac-teria remain a persistent nuisance across the world. Modelling cyanobacterial behaviour in freshwaters is an important tool for understanding their population dynamics and predicting the location and timing of the bloom events in lakes, reservoirs and rivers. A new deterministic-mathematical model was developed, which simulates the growth and movement of cyanobacterial blooms in river systems. The model focuses on the mathematical description of the bloom formation, vertical migration and lateral transport of colonies within river environments by taking into account the major factors that affect the cyanobacterial bloom formation in rivers including light, nutrients and temperature. A parameter sensitivity analysis using a one-at-a-time approach was carried out. There were two objectives of the sensitivity analysis presented in this paper: to identify the key parameters controlling the growth and movement patterns of cyanobacteria and to provide a means for model validation. The result of the analysis suggested that maximum growth rate and day length period were the most significant parameters in determining the population growth and colony depth, respectively.
机译:形成水华和产生毒素的蓝藻菌在世界范围内一直是一个困扰。对淡水中的蓝细菌行为进行建模是了解其种群动态并预测湖泊,水库和河流中水华事件的位置和时间的重要工具。建立了一个新的确定性数学模型,该模型可模拟河流系统中蓝藻水华的生长​​和运动。该模型通过考虑影响河流中蓝藻水华形成的主要因素,包括光照,养分和温度,着重于河流环境内水华形成,垂直迁移和横向迁移的数学描述。使用一次性方法进行了参数敏感性分析。本文提出的敏感性分析有两个目标:确定控制蓝藻生长和运动模式的关键参数,并为模型验证提供一种手段。分析结果表明,最大生长速率和日长是分别决定种群增长和集落深度的最重要参数。

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