수위-유속 분산 그래프를 통한 하수흐름 특성 분석

초록

To perform long-term sewer monitoring, It is important to understand the nature of the wastewater flow that occursat the point on early stage of the monitor and to prevent in advance a problem which may caused. We can infer the flow propertiesand external factors by analyzing the scatter graph obtained from the measured data flow rate monitoring data since an fieldexternal factor affecting the sewage flow is reflected in the flow rate monitoring data. In this study, Selecting the three points havingvarious external factors, and we Inferred the sewer flow characteristics from depth-velocity scatter graph and determined theanalysis equation for the dry-weather flow rate data. At the‘point 1’expected non-pressure flow, we were able to see the drawdowneffect caused by the free fall in the manhole section. At the‘point 2’, existed weir and sediments, there was backwatereffect caused by them, and each of size calculated from the scatter graph analysis were 400 mm and 130 mm. At the‘Point 3’,there is specific flow pattern that is coming from flood wave propagation generated by the pump station at upstream. In common,adequate equations to explain the dry weather flow data are flume equation and modified manning equation(SS method), and theequations had compatibility for explaining the data because all of R2 values are over 0.95.

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