Sediment removal in large capacity oil-grit separators

油砂砾分离器（OGSs）是主要的雨水管理工具之一，可以从径流中去除油、砂砾和沉积物，从而保护基础设施和环境。这项研究的重点是为整个社区、工业工厂、城市重建或其他大型开发项目安装的大容量oggs （LCOGS）。该项目是与一个行业合作伙伴（加拿大Lafarge）合作提出的，旨在产生关于lcogs性能的缩放效应的新知识，并开发一种可应用于不同大小和类型的OGSs的性能评估程序。研究包括全面的数值模拟、实地考察和数据分析。在与合作伙伴合作进行的实地工作期间，将收集几个现有lcog装置的运行数据。计算流体动力学模型将基于LCOGS设计和可变入流条件开发。本研究需要计算三维流型、流体力学和沉降过程。现场信息和现有的实验室数据将有助于在不同尺度上验证该模型。现有的OGS性能数据和建模结果将用于检查几个结垢参数，并开发不同设计、流动条件和沉积物特性下的沉积物去除效率预测工具。这项研究采用了一种创新的方法，将现有信息与来自建模和实地工作的新数据相结合，为利益相关者制定了一套评估程序。总体而言，项目成果将为正确使用OGS设备提供基于科学的知识和工具，从而有助于保护环境免受过度的城市污染。

Oil-Grit Separators (OGSs) are one of the primary stormwater management tools to remove oil, grit and sediment from runoff, which safeguard infrastructure and protect the environment. This research focuses on large-capacity OGSs (LCOGS) that are installed for an entire neighbourhood, an industrial plant, urban redevelopments or other large developments. The project is proposed in collaboration with an industry partner (Lafarge, Canada) to generate new knowledge on scaling effects on the performance of LCOGSs and to develop a performance estimation procedure that can be applied for the different sizes and types of OGSs. The research includes comprehensive numerical modelling, fieldwork, and data analysis. Operational data from several existing LCOGS installations will be collected during fieldwork conducted in collaboration with the partners. Computational Fluid Dynamics models will be developed based on the LCOGS designs and variable inflow conditions. Computations of the three-dimensional flow pattern, hydrodynamics and sedimentation processes are required for this research. Field information and existing laboratory data will help to verify the model at different scales. Existing OGS performance data and modelling results will be used to examine several scaling parameters and to develop prediction tools for sediment removal efficiency under different designs, flow conditions and sediment properties. The research adopts an innovative approach to integrating existing information with new data from modelling and field work to develop an assessment procedure for stakeholders. Overall, the project results will provide science-based knowledge and tools for correct uses of OGS units that contribute to protecting the environment from excess urban pollution.