在不同采样时间间隔下,用定距时间法预测河豚纵向色散

I. Tenebe, O. A. Samuel, David O. Omole, P. Emenike, Irewole Oniemayin, Diwa I. Daniel, O. Maxwell
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引用次数: 0

摘要

色散数或色散系数的估计可用于确定河流的退化能力。这可以用文献中发现的不同方法的示踪剂研究来确定。然而,在本研究中,在两个不同的采样时间间隔中使用了恒定距离和时间方法来确定其值,以及在采样时间间隔选择中主观的含义。研究表明,利用Levenspiel和Smith方法在3 min和5 min时间间隔(d=0.037152)和5 min时间间隔(d=0.0214)得到的Balogun河的色散数变化了1.76倍。这意味着散度数可能被低估或高估。此外,第一次采样间隔所需的示踪剂浓度数据比第二次采样间隔多1.54倍,从而产生更多的成本、时间和劳动力。因此,建议开发和实践更可持续的方法,使用有限的示踪数据收集进行计算,并限制采样时间选择的主观性,但给出接近精确的色散数值。
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LONGITUDINAL DISPERSION PREDICTION OF RIVER BALOGUN USING CONSTANT DISTANCE AND TIME APPROACH AT DIFFERENT SAMPLING TIME INTERVALS
The estimation of dispersion number or its coefficients can be used to determine the degradation capacity of rivers. This can be determined using tracer studies with the different methods found in the literature. However, for this study, the constant distance and time method was used at two different sampling time intervals to determine its value as well as the implication of being subjective in sampling time interval selection. This study showed that the dispersion number obtained from River Balogun using the Levenspiel and Smith approach at the 3 mins time interval (d=0.037152) and 5 mins interval (d=0.0214) varied by a factor of 1.76. This implies that the dispersion number could be underestimated or overestimated. Furthermore, the first sampling interval required 1.54 times more tracer concentration data than the second sampling time interval thereby incurring more cost, time and labour. Therefore, it is suggested that more sustainable approaches are developed and practised that would use limited tracer data collection for calculation as well as limit subjectivity in sampling time selection, yet give closely precise values of dispersion number.
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