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On using acoustic profiling to study bottom boundary layer flow dynamics in unsteady sediment-laden open-channel flow

机译:利用声学剖面研究非稳定含沉积明渠流动的底部边界层流动

摘要

Measurement and analysis of physical and chemical characteristics of sea water are necessary and important in many applications. ANZALI is an active and noisy port located in south west of the Caspian Sea. There are limited published data about physical and underwater acoustical characteristics of the port. In February and May 2007, measurement of underwater acoustical noise and Transmission loss in that zone, accomplished using two boats and some measurement equipments. A hydrophone array system and an acoustical projector were designed, constructed, and calibrated for use in these measurements. Some related quantities as, temperature profile; wind and water flow direction and magnitude were measured. Also before that time, water temperature measurement had been done in some different successive seasonal conditions. Water depth of the zone changes slowly from 100 to 200 meter. After preprocessing of measured data, Power Spectrum (PS) and Probability Density Function (PDF) estimation algorithms had applied to data using MATLAB software. We recognize a significant increase in PS levels below 200Hz in different weather conditions and industrial activities. Using seasonal temperature measured data; we conclude that water temperature, between surface and depth of 50 meter, decrease sharply from 27 to 8 centigrade at summer and slowly from 10 to 8 centigrade at winter. In depths below 50 meter, water temperature is not affected by air temperature and varies slowly from 8 to 7. Also in shallow regions we found, Transmission Loss model similar to spherical model that is reasonable regarding temperature profile and sea bed materials
机译:在许多应用中,海水的物理和化学特性的测量和分析是必要且重要的。 ANZALI是一个活跃而嘈杂的港口,位于里海西南部。关于港口的物理和水下声学特性的公开数据有限。 2007年2月和2007年5月,使用两艘船和一些测量设备完成了该区域水下声噪声和传输损耗的测量。设计,建造和校准了水听器阵列系统和声学投影仪,以用于这些测量。一些相关的数量,如温度曲线;测量了风和水的流动方向和大小。同样在此之前,已经在一些不同的连续季节条件下进行了水温测量。该区域的水深从100米缓慢变化到200米。在对测量数据进行预处理之后,使用MATLAB软件将功率谱(PS)和概率密度函数(PDF)估计算法应用于数据。我们认识到,在不同的天气条件和工业活动中,低于200Hz的PS水平会显着增加。使用季节性温度测量数据;我们得出的结论是,在表面和50米深度之间的水温在夏天从27急剧下降到8摄氏度,在冬天从10缓慢下降到8摄氏度。在低于50米的深度中,水温不受气温的影响,并且从8到7缓慢变化。在浅层区域,我们还发现,与温度分布和海床材料有关的类似于球形模型的传输损耗模型

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