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A Simple Floc-Growth Function for Natural Flocs in Estuaries

机译:河口自然絮体的简单絮体增长函数

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Natural flocs in an estuary grow with increasing time, salinity, suspended particulate matter concentration, and with decreasing turbulence. Although various theoretical and empirical functions for floc growth have been proposed in the literature, they are all complex. It is argued in this study that there should be a simple and general function of floc size D against time t, salinity S, suspended particulate matter concentration C, microscale η, and biochemical composition M. Theory and experiments seem to corroborate that average floc size responds systematically to its drivers. Moreover, the response is partly similar to all drivers: a lower plateau followed by a rise, and partly different: an upper plateau for t, S and a fall for C, η. Assuming drivers are independent, each curve is normalized around its rise. The drivers are joined into one variable X that holds each normalized driver with equal weight. The result is a function that gives floc size against this composite variable X. This composite variable in turn is a function of ambient conditions and the function predicts floc size for any set of ambient conditions. The case is presented here using linear segments, but eventually the logistic growth function is proposed.
机译:河口中的天然絮凝物会随着时间,盐度,悬浮颗粒物浓度的增加以及湍流的减少而增长。尽管文献中提出了各种絮凝生长的理论和经验功能,但它们都很复杂。这项研究认为絮凝物D随时间t,盐度S,悬浮颗粒物浓度C,微尺度η和生化组成M具有简单而通用的函数。理论和实验似乎证实了平均絮凝物的大小系统地响应其驱动程序。此外,响应部分类似于所有驱动因素:较低的平稳段,然后是上升,而部分不同的是:t,S的较高段,C,η的下降段。假设驱动程序是独立的,则每条曲线都围绕其上升进行归一化。驱动程序被合并到一个变量X中,该变量X使每个归一化的驱动程序具有相等的权重。结果是一个针对该复合变量X给出絮凝物大小的函数。该复合变量又是环境条件的函数,并且该函数预测任何一组环境条件的絮凝物大小。这里使用线性段来表示这种情况,但最终提出了逻辑增长函数。

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