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Prediction method of sand-movement direction in rivers by geochemical elements
Authors:K Mizumura  T Nishimoto  Y Kumagai  T Yamamoto
Institution:(1) Dept. of Civil Engineering, Kanazawa Institute of Technology, 7-1, Ogigaoka, Nonoichimachi, Ishikawa Pref. 921, Japan, JP;(2) Kimura Construction Co., Ltd., 3-1, Anjuu-machi, Toyamashi, Toyama Pref. 930, Japan, JP;(3) Institute of Technology, Magara Construction Co., Ltd., 1-13-43, Hikosomachi, Kanazawa, Ishikawa Pref. 920, Japan, JP;(4) Dept. of Liberal Arts, Kanazawa Institute of Technology, 7-1, Ogigaoka, Nonoichimachi, Ishikawa Pref. 921, Japan, JP
Abstract: The analysis of sand samples by X-ray fluorescent spectroscopy (XRF) gives the ratio of the geochemical elements to construct the sand samples. The application of the ratio matching to sand samples represents the correlation number between two sand samples with respect to geochemical elements. When the correlation number between two sand samples is low, the two samples are not geochemically similar each other. This denotes that the exchange of sand between two sampling points is scarce or the two samples are independent. When the correlation number between two sand samples is high, the two samples are geochemically similar, signifying that the exchange of sand between two sampling points is frequent or there is sand movement between two sampling points. If there exists prominent sand movement in the study area, the correlation number is almost 1 and kilo count number per second of each geochemical element per weight decreases along the flow direction. The decrease is caused by the reduction of sizes and the adherence of dirt on the surface of sand particles. Since the flow direction in rivers is usually the same as the direction of sand movement, it can be verified. This study obtains satisfactory results applying the method of prediction in sand movement to sediments in rivers. Received: 17 May 1995 · Accepted: 14 August 1995
Keywords:  River sand  Geochemical elements  X-ray fluorescent spectroscopy  Correlation number  Ratio matching  Correlation matrix  Geological characteristics
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