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Estimation of combined sewer overflow discharge:a software sensor approach based on local water level measurements

机译:组合下水道溢流排放的估算:基于局部水位测量的软件传感器方法

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摘要

Combined sewer overflow (CSO) structures are constructed to effectively discharge excess water during heavy rainfall, to protect the urban drainage system from hydraulic overload. Consequently, most CSO structures are not constructed according to basic hydraulic principles for ideal measurement weirs. It can, therefore, be a challenge to quantify the discharges from CSOs. Quantification of CSO discharges are important in relation to the increased environmental awareness of the receiving water bodies. Furthermore, CSO discharge quantification is essential for closing the rainfall-runoff mass-balance in combined sewer catchments. A closed mass-balance is an advantage for calibration of all urban drainage models based on mass-balance principles. This study presents three different software sensor concepts based on local water level sensors, which can be used to estimate CSO discharge volumes from hydraulic complex CSO structures. The three concepts was tested and verified under real practical conditions. All three concepts were accurate when compared to electromagnetic flow measurements.
机译:组合式下水道溢流(CSO)结构可在大雨期间有效地排出多余的水,以保护城市排水系统免受水力超载的影响。因此,大多数CSO结构并不是根据理想的测量堰的基本水力原理构造的。因此,量化公民社会组织的排放量可能是一个挑战。与提高接收水体的环境意识有关,对CSO排放进行量化非常重要。此外,CSO排放量化对于关闭下水道集水区的降雨-径流质量平衡至关重要。封闭的质量平衡是基于质量平衡原理校准所有城市排水模型的一个优势。这项研究提出了三种基于本地水位传感器的软件传感器概念,这些概念可用于估算水工复杂CSO结构的CSO排放量。这三个概念在实际条件下进行了测试和验证。与电磁流量测量相比,这三个概念都是准确的。

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