Quantification of floating riverine macro-debris transport using an image processing approach
Quantification of floating riverine macro-debris transport using an image processing approach
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DOI：
10.1038/s41598-020-59201-1
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发表时间：
2020-02-10
影响因子：
4.6
通讯作者：
Nihei, Yasuo
中科院分区：
文献类型：
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作者：
Kataoka, Tomoya;Nihei, Yasuo
一种新算法已被开发用于量化河流表面漂浮的大型碎片运输，该算法由三种基本技术组成：（1）在CIELuv颜色空间中生成碎片与周围水之间色差的差异图像，（2）从差异图像中检测碎片像素，以及（3）通过模板匹配方法计算碎片面积通量。从实验室水槽和河流水面拍摄的图像中准确地检测到了碎片像素，且与目视观察检测到的结果一致。面积通量与通过碎片收集测量的质量通量在统计上显著相关。通过将面积通量乘以单位面积的碎片质量（M/A）计算出的质量通量与洪水上涨阶段的流速显著相关，并且与通过碎片收集测量的质量通量相符。在我们的算法中，可以通过使用目标河流中塑料占总碎片的质量百分比进行校准来估算塑料质量通量。量化河流中大型塑料运输对于制定对策、减轻塑料污染的不利影响以及了解全球范围内河流中大型塑料运输至关重要。
A new algorithm has been developed to quantify floating macro-debris transport on river surfaces that consists of three fundamental techniques: (1) generating a difference image of the colour difference between the debris and surrounding water in the CIELuv colour space, (2) detecting the debris pixels from the difference image, and (3) calculating the debris area flux via the template matching method. Debris pixels were accurately detected from the images taken of the laboratory channel and river water surfaces and were consistent with those detected by visual observation. The area fluxes were statistically significantly correlated with the mass fluxes measured through debris collection. The mass fluxes calculated by multiplying the area fluxes with the debris mass per unit area (M/A) were significantly related to the flood rising stage flow rates and agreed with the mass fluxes measured through debris collection. In our algorithm, plastic mass fluxes can be estimated via calibration using the mass percentage of plastics to the total debris in target rivers. Quantifying riverine macro-plastic transport is essential to formulating countermeasures, mitigating adverse plastic pollution impacts and understanding global-scale riverine macro-plastic transport.