Pollution of surface waters is a worldwide problem for people and wildlife. Remediation and phytoremediation approaches can offer a solution to deal with specific scenarios. Lemna minor, commonly known as duckweed, can absorb and accumulate pollutants in its biomass. To evaluate if L. minor could be applied for phytoremediation purposes, it is necessary to further investigate its remediation capability and to identify which parameters affect the remediation process. Such a model must include both plant growth and pollutant exchange. A remediation model based on a robust experimental study can help to evaluate L. minor as a proper remediation strategy and to predict the outcome of a L. minor based remediation system. To set up this model, this paper focusses on a detailed experimental study and a comprehensive mathematical modelling approach to represent L. minor growth as a function of biomass, temperature, light irradiation and variable nutrient concentrations. The influence of environmental conditions on L. minor growth was studied, by composing 7 days growth curves. Plants were grown under predefined environmental conditions (25°C, 14h photoperiod, 220 μmol m⁻² s⁻¹ light intensity and a modified Hoagland solution with 23.94 mg N L⁻¹ and 3.10 mg P L⁻¹ (N:P ratio of 7.73)) as standard for all experiments. The influence of different temperatures (6, 10, 15, 20, 25, 30 and 35°C), light intensities (63, 118, 170, 220 and 262 μmol m⁻² s⁻¹), photoperiods (12h and 14h) and N:P ratios (1.18, 3.36, 7.73 and 29.57) were tested in the model. As a result, a growth model was optimised using separate datasets for temperature, light intensity, photoperiod and nutrients and validated by further integrated testing. The growth model is a stable platform for application in phytoremediation of radionuclides in contaminated water, to be extended in future studies with information of pollutant uptake, pollutant-nutrient interactions and transfer to the biomass.

地表水污染是人类和野生动物面临的世界性问题。修复和植物修复方法可以提供处理特定场景的解决方案。Lemna minor，俗称浮萍，可以在其生物质中吸收和积累污染物。为了评估L. minor是否可以用于植物修复目的，有必要进一步调查其修复能力并确定哪些参数会影响修复过程。这样的模型必须包括植物生长和污染物交换。基于稳健实验研究的修复模型有助于评估L. minor作为适当的修复策略并预测L. minor的结果基于修复系统。为了建立该模型，本文重点进行了详细的实验研究和综合数学建模方法，以将L. minor 的生长表示为生物量、温度、光照和可变营养浓度的函数。通过绘制 7 天生长曲线研究了环境条件对L. minor生长的影响。植物在预定义的环境条件下生长（25°C，14 小时光周期，220 μmol m ^-2 s ^-1光强度和具有 23.94 mg NL ^-1和 3.10 mg PL ^-1的改良 Hoagland 溶液(N:P 比率为 7.73)) 作为所有实验的标准。不同温度（6、10、15、20、25、30和35°C）、光强（63、118、170、220和262 μmol m ^-2 s ^-1）、光周期（12h和14h）的影响和 N:P 比率（1.18、3.36、7.73 和 29.57）在模型中进行了测试。因此，使用单独的温度、光强度、光周期和营养素数据集优化了生长模型，并通过进一步的集成测试进行了验证。生长模型是一个稳定的平台，可用于污染水中放射性核素的植物修复，在未来的研究中将扩展到污染物吸收、污染物-养分相互作用和向生物质转移的信息。