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The Fengninian as developed in Central Hunan is divisible into 3 series. Stated in descending order they are as follows:— C. Lower Tzemench'iao (梓門橋) Limestone—equivalent to the Shangssu limestone. B. Tseshui (測水) Series—equivalent to the Chiussu sandstone.  相似文献   
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C.C.TIEN 《地质学报》1923,2(Z1):105-109
INTRODUCTION The Sinian rocks in China as far as we know are most well developedin Chihli and Shansi provinces. In Chihli, they are usually restricted to theupper part, as in Ta Yang, Pei Yu, Hsia Ma Ling, Ching Pei Kou and other  相似文献   
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INTRODUCTION The Sinian rocks in China as far as we know are most well developedin Chihli and Shansi provinces. In Chihli, they are usually restricted to theupper part, as in Ta Yang, Pei Yu, Hsia Ma Ling, Ching Pei Kou and other  相似文献   
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Experiments are carried out to study the characteristics of active bubbles entrained by breaking waves as these propagate over an abruptly topographical change or a submerged breakwater. Underwater sounds generated by the entrained air bubbles are detected by a hydrophone connected to a charge amplifier and a data acquisition system. The size distribution of the bubbles is then determined inversely from the received sound frequencies. The sound signals are converted from time domain to time-frequency domain by applying Gabor transform. The number of bubbles with different sizes are counted from the signal peaks in the time-frequency domain. The characteristics of the bubbles are in terms of bubble size spectra, which account for the variation in bubble probability density related to the bubble radius r. The experimental data demonstrate that the bubble probability density function shows a-2.39 power-law scaling with radius for r>0.8 mm, and a-1.11 power law for r<0.8 mm.  相似文献   
5.
Experiments are carried out to study the characteristics of active bubbles entrained by breaking waves as these propagate over an abruptly topographical change or a submerged breakwater. Underwater sounds generated by the entrained air bubbles are detected by a hydrophone connected to a charge amplifier and a data acquisition system. The size distribution of the bubbles is then determined inversely from the received sound frequencies. The sound signals are converted from time domain to time-frequency domain by applying Gabor transform. The number of bubbles with different sizes are counted from the signal peaks in the time-frequency domain. The characteristics of the bubbles are in terms of bubble size spectra, which account for the variation in bubble probability density related to the bubble radius r. The experimental data demonstrate that the bubble probability density function shows a - 2.39 power-law sealing with radius for r 〉 0. 8 mm, and a- 1.11 power law for r 〈0.8 mm.  相似文献   
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