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Drouge tracking by image processing for the study of laboratory scale pond hydraulics

机译：通过图像处理进行干旱跟踪，以研究实验室规模的池塘水力学

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Waste stabilisation ponds are one of the most widely used methods of wastewater treatment for small communities throughout the world. The treatment efficiency of waste stabilisation ponds is directly linked to their hydraulic regime, but to date pond hydraulics have been poorly researched. Because of climatic variation these low velocity, long residence time systems are difficult to systemically study in the field. An alternative is to undertake research on scale-model ponds operated under controlled conditions in a laboratory. This paper details a procedure that uses image processing for quantifying the velocity distribution and flow pattern within a scale-model pond using image processing. This technique is outlined in detail and examples of results derived from its application are presented. It is concluded that this technique is both effective as a relativity cheap and fast method of quantifying the flow behaviour in scale-model ponds. Furthermore because it continuously records the flow behaviour over a period of time, it can highlight unsteady-state flow behaviour that could otherwise go undetected when using other flow measurement techniques.
机译：废物稳定池是全世界小社区使用最广泛的废水处理方法之一。废物稳定池的处理效率与它们的水力状况直接相关，但是迄今为止，对池塘水力的研究还很少。由于气候变化，这些低速，长停留时间的系统很难在野外系统地研究。另一种方法是对在受控条件下在实验室中运行的比例模型池塘进行研究。本文详细介绍了一个程序，该程序使用图像处理来量化使用图像处理的比例模型池中的速度分布和流型。对该技术进行了详细概述，并给出了从其应用中得出的结果示例。结论是，该技术既可作为相对论便宜又快速的定量模型池中水流行为的有效方法。此外，由于它会连续记录一段时间内的流量行为，因此它可以突出显示非稳态流量行为，否则在使用其他流量测量技术时可能无法检测到。

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