二维溶质输运分析中河流汇合处纵横色散系数评价及浓度预测

K. Baek
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摘要

在纵横比较大的河流中,纵横方向的混合特性必然不同。在不同浓度的支流和干流交汇的合流区域,会发生特别复杂的混合行为,需要通过分配适当的纵向和横向分散系数值来准确地实现这种混合特性。本文利用二维模型(RAMS)分析了洛东江、锦湖江和晋川溪三江汇合处不同纵横色散系数值的混合行为。首先,根据现场测量得到的电导率对纵向和横向色散系数进行了标定和验证。通过标定和验证,表明该区域的纵向色散系数约为横向色散系数的25倍。然后,假设因意外泄漏导致有害物质(苯酚)进入锦湖江和镇川溪上游,利用校正后的数值模型计算到达取水设施的苯酚浓度。结果表明,随着纵向/横向扩散系数值的不同,有害物质到达取水设施的时间和峰值浓度等特征有很大差异。事实上,这是一个例子,当苯酚被引入河流时,分散系数的选择可以影响决策,例如在适当的时间在设施中停止取水。最后,利用河流中的二维混合模型,证实了纵向/横向色散系数的适当取值是一个重要因素。
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Evaluation of longitudinal / transverse dispersion coefficients and prediction of concentration at river confluence in two-dimensional solute transport analysis
Mixing characteristics of the longitudinal/transverse directions is inevitably different in rivers with a large aspect ratio. Particularly complex mixing behavior occurs in the area of the confluence where tributaries and main streams of different concentrations meet, and it is necessary to accurately implement such mixing characteristics by assigning appropriate values of longitudinal and transverse dispersion coefficients. In this study, the mixing behavior according to the different values in the longitudinal/transverse dispersion coefficient was analyzed by using the two-dimensional model (RAMS) at the confluence where three rivers (the Nakdong River, the Geumho River, and the Jincheon Creek) meet. Firstly the longitudinal and transverse dispersion coefficients were calibrated and validated based on the electrical conductivity (EC) acquired from field measurements. Through the calibration and validation, it was shown that the longitudinal dispersion coefficient was about 25 times larger than the transverse dispersion coefficient in this area. Then assuming that a hazardous substance (phenol) was introduced into the upper boundaries of the Geumho River and the Jincheon Creek due to an accidental spill, the concentration of phenol arrived at the water intake facilities was calculated by using the calibrated numerical model. As a result, characteristics such as time and peak concentration of hazardous substances reaching the water intake facilities were very different according to the ratio of the longitudinal/transverse dispersion coefficient values. In fact, this is an example that the selection of the dispersion coefficients can affect decision-making such as stopping water intake during an appropriate time at the facilities, when if phenol is introduced into a river. In the end, when using a two-dimensional mixing model in a river, it was confirmed that the provision of an appropriate value of the longitudinal/transverse dispersion coefficient was an important factor.
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