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Discrimination of channel patterns for alluvial rivers based on the sediment concentration to water discharge ratio

机译:基于泥沙浓度与出水比的冲积河道型式判别

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摘要

Although the sediment concentration to water discharge ratio (£) is an empirical coefficient, it contains manifold physical meanings. Based on data from 107 Chinese alluvial rivers, a study has been made to relate river channel patterns to the index. These rivers can be classified as four channel patterns, i. e., braided, low concentration meandering, hypercon-centration meandering and island. It was found that, when mean annual water discharge (Q) is given, the index for hyperconcentration meandering rivers is the highest, for braided rivers the second, for low-concentration meandering rivers the third, and for island rivers the low-est. A discriminating model has been proposed for the above four channel patterns, based on the relationship between and Q. Three threshold lines between the four channel patterns arc well identified. The limits between channel patterns have close relation with the phenomenon of "double-thresholds for fill-scour behaviors of rivers with wide-range sediment concentra-tions", which was previously described by the author. The limit between hyperconcentration-meandering rivers and braided rivers reflects the upper threshold of the double-thresholds phenomenon, and the limit between braided rivers and low-concentration meandering rivers reflects the lower threshold of the double-thresholds phenomenon. Of the 107 Chinese rivers studied, 84.7% are correctly predicted using the proposed model. Based on some Chinese rivers, the index is related to specific stream power (Ω) and channel sinuosity, and the result indicates that the complicated variation of with is one of the causes for the complicated variation of river channel patterns with the index. This complicated variation may be regarded as a complex response of river channel pattern to the varying index. This study also shows that the clay content in river bank material is controlled by the index to some degree. Thus, the index also contains some information of erosion-resistance of channel boundary materials. Through the effect of on channel boundary material, channel pattern is affected by The proposed discriminating model may be used to predict the trend of channel pattern changes. Based on the data of Q and the location of a given river for the pre- and post-impact periods can be plot in the diagram. If the river crosses the threshold line between two channel patterns, for instance the line between braided pattern and low concentration mean-dering pattern, or vice versa, channel pattern transformation may be expected to occur.
机译:尽管沉积物浓度与排水量之比(£)是一个经验系数,但它具有多种物理意义。根据来自107条中国冲积河流的数据,已进行了一项研究,以将河道模式与该指数相关联。这些河流可以分为四个通道模式,即。例如,编织,低浓度弯曲,高浓度弯曲和孤岛。结果发现,当给出年平均排水量(Q)时,高浓度蜿蜒河的指数最高,辫状河流次之,低浓度蜿蜒河的第三,而岛屿河流最低。已经基于与之间的关系提出了针对上述四个通道模式的区分模型。在四个通道模式之间的三个阈值线被很好地识别。作者先前曾描述过,河道模式之间的界限与“具有宽范围沉积物浓度的河流的填满行为的双阈值”现象密切相关。高浓度蜿蜒河与辫状河之间的界限反映了双阈现象的上限,而辫状河流与低浓度蜿蜒河之间的界限反映了双阈现象的下限。在所研究的107条中国河流中,使用该模型正确预测了84.7%。以中国的某些河流为例,该指数与河道的比流功率(Ω)和河道的弯曲度有关,结果表明,随着该指数的变化复杂,是河道格局复杂变化的原因之一。这种复杂的变化可以看作是河道格局对变化指数的复杂响应。该研究还表明,河岸材料中的粘土含量在一定程度上受该指标的控制。因此,该索引还包含一些通道边界材料的抗腐蚀信息。通过对通道边界材料的影响,通道模式会受到影响。建议的判别模型可用于预测通道模式变化的趋势。根据Q的数据和给定河流在撞击前后的位置,可以在图表中标出。如果河流越过两个通道模式之间的阈值线(例如,辫状模式和低浓度平均曲率模式之间的线),反之亦然,则可能会发生通道模式转换。

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