共查询到16条相似文献，搜索用时 93 毫秒
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在对珠江口外2006年冬季航次走航ADCP观测资料处理中发现用Joyce的方法不能有效地订正系统误差,其原因在于订正角与航速、船艏向相关。给出了一个订正角为船艏向余弦的拟合函数,得出良好的订正结果。分析了VmDas软件处理流速结果的精度,给出了系统误差识别的方法。发现观测资料中一些不能为VmDas软件识别的错误数据,分析了海况对观测资料的影响,提出了观测资料质量控制与误差订正的一套程序。 相似文献
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基于南海北部浮标和潜标的声学多普勒流速剖面仪（ADCP）数据,通过一套几何算法计算了台风海鸥（1415）期间ADCP的空间变化和流速误差,并进行数据校正。浮标上,台风过后ADCP的水平位移最大可达2.61 km,水平流速误差最大可达0.27 m/s,垂向流速误差最大仅为5×10-4 m/s;温跃层流速校正值在台风过后显著大于流速测值,这表明水平校正对于温跃层流速的质量控制很重要。潜标上,ADCP最大垂向位移增量为179 m,最大绳子倾角为35°,最大水平位移为1.5 km; ADCP水平流速误差和倾角误差都很小,在数据校正中可忽略不计,但对台风过后中层流速的垂向校正不能忽略。 相似文献
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声学多普勒流速剖面仪(ADCP)是对海洋内波监测的有效手段,但受到仪器本身和复杂的海洋环境噪声等影响,走航式ADCP记录的海流数据存在大量噪声,且混有流速异常值。为了进一步提高海洋内孤立波的提取精度与准确性,本文针对走航式ADCP海流数据特点引入IGG3方法的权函数因子,设计了一种抗差Vondrak滤波器,并与快速傅里叶变换、小波分析和滑动平均3种传统滤波方法进行对比,以验证抗差Vondrak滤波方法的有效性与优越性。研究结果表明,抗差Vondrak滤波方法不仅可以有效地滤除流速噪声,还可以自适应剔除海流观测数据中的异常值,由其提取出的内孤立波准确且各层水平流速清晰。因此,与传统滤波方法相比,抗差Vondrak滤波方法在内孤立波提取方面具有一定的优越性。 相似文献
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底部浮泥表层推移速度分布的ADCP—GPS估测方法 总被引：3，自引：0，他引：3
ADCP对底跟踪走航观测的流速数据中包含水体底部浮泥、底沙运动信息,对比GPS定位方法算出的水体流速数据可以分离出浮泥相对于GPS定位的运动信号,从而达到对底质推移观测的目的。 相似文献
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基于红沿河核电站取水口周边海域3个不同断面的船载ADCP短期重复走航观测资料,采用传统调和分析方法和L曲线方法对该资料进行潮流–余流分离计算,并通过对比潮流特征、分析水团运动和余流流向的关系,以及对分离后的潮流与余流进行回报,验证L曲线方法对观测时间较短、重复次数不多的走航ADCP资料进行潮流分离的合理性与有效性。结果表明:(1)应用L曲线方法分离的潮流特征与以往的观测结果较为一致,该方法可有效分离半日潮流与全日潮流,但本文采用的数据长度小于1个典型全日潮周期长度,故整个全日潮族以及区内流场动力方面的分析结果尚存不合理之处,还需采用观测时间较长、重复次数较多的走航观测资料改进;(2)分离后的余流近岸向南、离岸向北的分布,符合观测海域的温盐要素分布,余流结果具有合理性;(3) L曲线方法的回归值与实测瞬时流速线性拟合的相关程度较高,均方根误差为6 cm/s左右,相对误差百分比约为10%。该方法可拓展并推广到近海其他关键断面走航流速观测的潮流分离中,以获得流速特征与物质输运通量等重要信息。 相似文献
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CODAS系统搭配相应质量控制参数,用以识别ADCP在复杂测流环境下测得的可疑或错误流速单元和剖面.通过水跟踪和底跟踪,CODAS系统可有效获取仪器自带数据处理软件vmdas、winriver无法修正的系统误差.本研究采用该系统对厦门湾走航ADCP测量数据做后续质量控制,所得相应系统误差如下：旋转角度偏差ΔФ=3.2°,幅值修正因子β=0.98.此外,以底跟踪测得流速为准确值,参考GPS数据经过系统误差订正后,流速精度显著提高,平均误差订正前后分别为28.9cm/s和11.6 cm/s.最后,结合现场数据采集工作与数据质量控制过程,总结数据质量问题一般特征并提出改进建议. 相似文献
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A new method to estimate phase speed and vertical velocity of internal solitary waves in the South China Sea 总被引：2，自引：0，他引：2
A new method of estimating the phase speed and vertical velocity of internal solitary waves (ISW) based on dynamic governing equations using Acoustic Doppler Current Profiler (ADCP) data was developed. This method was applied to a representative ISW case, which was captured in the South China Sea in the 2007 summer experiment. The result shows that this ISW had a phase speed of approximately 2.6?m?s?1. This method provides an excellent alternative in estimating the phase speed of ISWs, especially useful in the absence of vertical stratification needed in solving the Korteweg–de Vries (KdV)-type equation, e.g., long-term mooring observation. Analyses show that the new method is fairly self-consistent, and it can be applied when only a part of the ISW observations is available. The computed vertical velocity of the ISW using the new method has a good agreement with the ADCP observations both in magnitude and pattern. 相似文献
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J.D. Wang 《Estuarine, Coastal and Shelf Science》1998,46(6):901-915
Recent observations using moored current meters, shipboard ADCP transects, salinity mapping and drifters have been used to study the residual circulation including wind drift in western Florida Bay.Rapid, nearly synoptic surveys of salinity over a large area was an effective tracer-mapping technique, when salinity gradients were sufficiently strong, and provided qualitative information on Lagrangian water motion for the entire study area. The salinity maps indicated a general south-eastward advection, which was only subordinate to tidal mixing in a narrow zone adjacent to the Florida Keys.Drifter data collected simultaneously, allowed quantitative estimates to be added to the transport pattern suggested by salinity maps. The selectively deployed drifters yielded estimates of total drift velocities. In addition, moored current meters and shipboard current profiling were used to determine the distribution of flow across the mouth of the bay facing the Gulf of Mexico and the transport through Long Key Channel, a major connection between the bay and the Atlantic Ocean.Analysis showed that from 64 to over 92% of the drifter trajectory variances could be explained by the combination of a local wind drift, expressed in terms of a wind drift factor multiplied by the surface shear velocity, and an ambient current. For a 1 m high drifter deployed at the surface of the water column, the wind drift factor was found to be approximately 0·125m, making the drift speed roughly equal to 0·45% of wind speed. The mean drifter speeds were linearly proportional to mean transport estimates derived from the current meter observations in Long Key Channel, enhancing confidence in both data sets.The total south-eastward directed residual current varied between 100 and 5000 m day−1and was weaker in summer than in winter, when southward winds associated with periodic passage of cold fronts boost the residual flow. The estimated contribution from local wind drift varied between 500 m day−1in summer to 1000 m day−1in winter. The remaining contribution to the observed Lagrangian residual circulation in western Florida Bay is caused by other forcing, including tidal rectification, remote wind forcing and large-scale current systems (the Gulf Stream and Florida Current systems). 相似文献
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60m船用多功能ADCP悬浮沙浓度测量及比测数据分析 总被引：2，自引：0，他引：2
本文简述了60m船用多功能ADCP悬浮泥沙测量的理论依据，并详细分析了正样长江徐六级水文站附近水域悬浮沙比测试验情况和结果。 相似文献
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Comparison of surface current variations observed by TOPEX altimeter with TOLEX-ADCP data 总被引：1，自引：0，他引：1
Variations of surface current velocity derived by the TOPEX altimeter are compared with data from Tokyo-Ogasawara Line Experiment (TOLEX)-Acoustic Doppler Current Profiler (ADCP) monitoring for a period from October 1992 to July 1993. Since the locations of ADCP ship track and TOPEX altimeter ground tracks do not coincide with each other, and the temporal and spatial sampling are also different between the ADCP and altimeter observations, re-sampling, interpolation and smoothing in time and space are needed to the ADCP and altimeter data. First, the interpolated TOPEX sea surface height is compared with sea level data at Chichijima in the Ogasawara Islands. It is found that aliasing caused by the tidal correction error for M2 constituent in the TOPEX data is significant. Therefore, comparison of the TOPEX data with the TOLEX-ADCP data is decided to be made by using cross-track velocity components of the surface current, which are considered to be relatively less affected by the errors in the tidal correction. The cross-track velocity variations derived from the TOPEX sea surface heights agree well with those of the ADCP observations. The altimeterderived velocity deviations associated with transition of the Kuroshio paths coincide with the ADCP data. It is quantitatively confirmed that the TOPEX altimeter is reliable to observe the synoptic variations of surface currents including fluctuations of the Kuroshio axis. 相似文献
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As the spatio-temporal variability of the Kuroshio is highly influenced by mesoscale eddies, representing its seasonal variability characteristics requires sufficiently long term observations to reduce... 相似文献
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The sea surface height data from 1992 through 2012 in the Eastern Indian Ocean, the 6 sets of hydrographic data sparsely spanning 1990–2001 in water south of Java–Bali, and the 24 shipboard acoustic Doppler current profiler (ADCP) data across the Ombai Strait during 1997–2000 were used as a combined dataset to understand sea level and current variability along the southern coast of Java and Lesser Sunda Islands. The first two dominant empirical orthogonal function (EOF) modes capture combined seasonal with interannual and seasonal variability that account for 44.5 and 19.9 % of the total variances caused by El Niño Southern Oscillation and Indian Ocean Dipole events, and by the seasonal change of the Asian monsoon, respectively. The geostrophic current and ADCP data show that the eastward and westward currents are distinguishable via the vertical profiles of current velocity. The eastward-flowing South Java Current (SJC) is characterized by a large vertical shear and shallower diminishing depth of about 150 m and it is increased to 300 m in the presence of the Indian Ocean Kelvin Waves (IOKWs). In contrast, the westward current is dominated by the Indonesian Throughflow (ITF) with no vertical shear and has uniform current in the upper 300 m layer. The coastally trapped SJC and IOKWs are responsible for the eastward current. The SJC is not observed in the westward current because of non-existence of coastally trapped modes. The ITF and SJC generate persistent cyclonic (cold) and anticyclonic (warm) mesoscale eddies, respectively, in waters south of eastern Java. 相似文献