State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, No. 135, Yaguan Road, Haihe Education Park, Jinnan District, Tianjin 300072, China.
Sci Total Environ. 2019 Dec 1;694:133633. doi: 10.1016/j.scitotenv.2019.133633. Epub 2019 Jul 30.
Modelling is a useful tool for comprehensively describing the processes occurring in floating treatment wetlands (FTWs). However, temperature effects and phosphorus dynamics are not considered in the current FTW models. Therefore, a process-based model comprised of a plant growth submodel, a nitrogen dynamic submodel and a phosphorus dynamic submodel was developed to understand the complicated processes occurring in FTWs. The model was fully calibrated using a mesocosm FTW system operated for 168 days. Global sensitivity analysis revealed that nitrogen removal performance was predominantly sensitive to parameters representing plant characteristics and microbial activity. Because of the high concentration of organic matter, mineralization and sedimentation played important roles in nitrogen and phosphorus removal. In addition, the coprecipitation rate of phosphate also had a significant influence on phosphorus removal performance. When further investigation was applied to understand the behavior of the model, the ratio of nitrogen to phosphorus in plant tissue was found to be an indicator of the nutrient limitation in the water column. Furthermore, the model illustrated that both FTW operating conditions and plant characteristic parameters exerted an important influence on nitrogen removal and plant uptake contribution. Therefore, the selection of appropriate operating conditions and plant species can achieve high nutrients removal and make effective use of plants in FTWs. The model provides a useful tool for assessing the nutrients removal performance of FTWs and for evaluating strategies for them in design and operation.
模型是全面描述浮式湿地处理系统(FTWs)中发生过程的有用工具。然而,当前的 FTW 模型并未考虑温度影响和磷动态。因此,开发了一个基于过程的模型,该模型由植物生长子模型、氮动态子模型和磷动态子模型组成,用于了解 FTWs 中发生的复杂过程。该模型使用运行了 168 天的中观 FTW 系统进行了全面校准。全局敏感性分析表明,氮去除性能主要对代表植物特征和微生物活性的参数敏感。由于有机物浓度高,矿化和沉淀在氮和磷去除中起着重要作用。此外,磷酸盐的共沉淀速率对磷去除性能也有显著影响。当进一步研究以了解模型的行为时,发现植物组织中的氮磷比是水柱中营养限制的指标。此外,该模型表明,FTW 的运行条件和植物特征参数都对氮去除和植物吸收贡献有重要影响。因此,选择适当的运行条件和植物物种可以实现高养分去除,并在 FTWs 中有效地利用植物。该模型为评估 FTWs 的养分去除性能以及评估设计和运行中的策略提供了有用的工具。