共查询到18条相似文献，搜索用时 447 毫秒
1.
本研究利用亚洲海国际实验南海区所获取的海洋环境噪声数据,研究了2001年5月3日0时至5月17日0时海洋环境噪声的时频特性.实验期间有热带风暴西马仑经过,导致海面风速和风生海洋环境噪声随西马仑的逼近和远离出现了显著的升降.以1 250 Hz的海洋环境噪声为例,海洋环境噪声级在这一期间内有一个明显的升高、稳定和缓慢下降的过程.结合再分析风速数据研究海洋环境噪声级与风速的相关性,结果表明,在较高频1 250 Hz处,海洋环境噪声级与风速的互相关系数r为0.50;在较低频50~400 Hz处,两者的互相关系数r在-0.20~0.20之间.此外,本研究利用噪声级与对数风速之间的线性关系式,将海洋环境噪声级与实验过程中海面风速数据做回归分析,确定拟合系数,将此系数用于反演估计海面风速,反演误差在5%~20%之间. 相似文献
2.
3.
基于潜标测量的海洋环境噪声谱特性分析 总被引：3，自引：1，他引：2
利用海洋环境噪声测量潜标系统对南海典型海域开展了为期3个月的海洋环境噪声测量,16通道海洋环境噪声测量系统每小时测量两分钟噪声信号。数据处理结果表明,800~5 000Hz范围内,噪声谱与风速相关性最好,且风速越大相关性越好,噪声谱与风速的相关性好于与浪高的相关性。风关噪声谱级在海水中部基本不随接收深度发生变化,但由于测量水听器阵长度未能覆盖整个水深,因此未给出海面和海底处谱级变化规律。在400Hz以上的高频段整个风速范围内噪声谱级都随风速发生变化,且噪声谱级与对数风速具有很好的线性关系。 相似文献
4.
针对环境噪声谱与多年前噪声谱已不同、非开阔海域环境噪声测量受限等问题,在南海某海域对环境噪声与风速进行了连续多年的观测,并对两者的关系进行了统计分析。文中首先介绍了海洋环境噪声的测量方法及风速数据的获取手段,然后针对环境噪声与风速的时变特性、相关系数进行分析,最后对比浅海与深海两种深度下环境噪声与风速相关性的差异。数据处理与分析结果表明,海洋环境噪声随风速的大小变化剧烈,7m接收深度的海洋环境噪声值与风速的相关性是所有接收深度中最好的,其中又以频率为2 000 Hz时最佳,并得到了海洋环境噪声与风速的回归拟合方程,此外浅海处环境噪声可能受到航行船舶的影响较多,浅海处环境噪声与风速的相关性明显小于深海处。 相似文献
5.
星载微波散射计海面风场与海洋环境噪声的相关特性分析 总被引：2，自引：1，他引：1
根据海洋环境噪声机理及风关噪声已有的研究成果,提出利用星载微波散射计反演的海面风场数据进行海洋环境噪声分析,并对HY-2A和ASCAT数据与噪声谱级的相关性进行了对比分析。选取南海海域作为研究区,利用潜标测量系统获取的噪声数据和多源散射计风场数据开展了相关实验,并采用NCEP海面风场数据进行对比分析。结果表明,ASCAT数据与噪声的相关性优于HY-2A,散射计数据优于NCEP数据,散射计风场更适合海洋环境噪声的分析研究。该研究内容拓展了微波散射计风场数据的应用领域,并为海洋环境噪声研究提供了更好的技术手段。 相似文献
6.
7.
近海风电场水下打桩辐射噪声特性测量分析 总被引：1，自引：0，他引：1
对滨海海上风电场一次完整的打桩过程不同水深处环境噪声进行监测和分析。结果表明:打桩过程水下辐射噪声脉冲信号,在所研究海域附近环境噪声级由原来打桩前的130 d B左右瞬间增加约20~50 d B,20~20 000 Hz频段,打桩噪声谱级高于工程前该海域背景环境噪声谱级约30~65 d B,100~1 000 Hz频率打桩辐射噪声谱级出现多个峰值,不同水深谱级最高峰值频率为200 Hz。根据打桩水下辐射噪声监测结果和浅海Marsh和Schulkin半经验公式,计算打桩辐射噪声声源级(距声源中心1 m处)为210.2 d B(参考声压1μPa)。为水下打桩辐射噪声的深入研究提供了基础数据,分析结果可供海洋环境和海洋生物保护研究参考。 相似文献
8.
风通过影响海洋表面从而产生200 Hz以上的深海环境噪声,但有研究指出,通过风生表面波之间的非线性相互作用产生的驻波,能够与海床共振构成海底微震,从而产生10 Hz以下的噪声。针对这一新型风生噪声机制,本研究对威克岛海域10 Hz以下的极低频噪声进行了分析。比较了不同频率下海洋环境噪声功率谱级与风速的相关性,并讨论了风速和风向对设立在威克岛南北部二组水听器三联体信号的影响,结果表明2 Hz处的海洋环境噪声级与风速相关性最好,而风速和风向变化越剧烈海洋环境极低频噪声与风速风向的相关性越好。 相似文献
9.
南海QuikSCAT海面风场变化特征分析 总被引：4，自引：0，他引：4
基于QuikSCAT海面风场产品,对海面风场资料进行了EOF分析和随机动态分析,以此分析南海海面风场的变化特征。研究发现:海面原始风场风速季节变化最为明显,其变化占总变化方差的59.1%,黑潮的季节变化通过海气相互作用对南海局地风场有较明显的影响;原始风场第三模态及异常风场第二模态时间变化函数与SOI和PDO弱相关,且异常风场第二模态时间变化函数谱分析结果主要呈现5年的周期变化,南海海面风场变化与年际振荡有关;南海大部分海区风速呈现增长的趋势,但增长速率较小;风速增大最快的区域是台湾海峡以南海域和北部湾,增长速度达到0.05 ms-1a-1。 相似文献
10.
11.
A digital array of 120 acoustic channels 900 m in length has been constructed to study low-frequency (20-200 Hz) ambient noise in the ocean. The array may be deployed vertically or horizontally from the research platform FLIP and the array elements are localized with a high-frequency acoustic transponder network. The authors describe the instrumentation, telemetry, and navigation systems of the array during a vertical deployment in the northeast Pacific. Preliminary ambient noise spectra are presented for various array depths and local wind speeds. Ambient noise in the frequency band above 100 Hz or below 25 Hz increases with local wind speed. However, in the frequency band 25-100 Hz, ambient noise is independent of wind speed and may be dominated by shipping sources 相似文献
12.
Many research results show that ocean ambient noise and wind speed are highly relevant, and the surface wind speed can be effectively inverted using ocean noise data. In most deep-sea cases, the ambient noise of medium frequency is mainly determined by the surface wind, and there is a conventional relationship between them. This paper gives an equation which shows this relationship firstly, and then a surface-wind inversion method is proposed. An efficient particle filter is used to estimate the speed distribution, and the results exhibit more focused close to the actual wind speed. The method is verified by the measured noise data, and analysis results showed that this approach can accurately give the trend of sea surface wind speed. 相似文献
13.
The correlation of ambient noise with wind speed, and the depth dependence of ambient noise are both investigated, where the ocean noise data were recorded by a vertical line array in the northern South China Sea. It is shown that the correlation coefficients increase with increasing hydrophone depth during typhoon periods when the frequency ≥ 250 Hz, which opposes the generally accepted knowledge that the correlation coefficients of noise level and wind speed decrease with increasing depth during non-typhoon periods. Particularly at frequencies of 250 Hz, 315 Hz and 400 Hz, the correlation coefficients increase by more than 0.05 at depths ranging from 155 m to 875 m. At the three frequencies, the average noise levels also increase with increasing depth during typhoon periods. It is suggested that these differences are attributed to the wind-generated noise in shallow waters and the effect of "downslope enhancement" to sound propagation. During typhoon periods, the surf breaking and surf beat upon the shores and reefs are strengthened, and the source levels are increased. The wind-generated noise in shallow waters interacts with the downslope sea floor, with the noise-depth distribution changed by a "downslope enhancement" effect promoting noise propagation. 相似文献
14.
The local special feature of underwater ambient noise in the northern Huanghai sea has been investigated. The results obtained from the analysis of data measured for six days and nights have shown that the time-varying characterization of ambient noise spectrum level is remarkable and its fluctuation at every analyzed frequency band presents an equiform periodicity varying with time synchronously. The dependence of average ambient sea noise spectrum level on logarithmic wind speed within the middle range (16-30 knot) appears in "V" form.The current Crouch's conclusion (1972) has been developed by us to be a mathematical model based on the segment correlation regression. Using this model to describe and expain the characterization of local ambient sea noise is available. 相似文献
15.
Oceanic noise is the background interference in sonar performance prediction and evaluation at high sea states. Statistics of underwater ambient noise during Typhoons Soulik and Nida were analyzed on the basis of experimental measurements conducted in a deep area of the Philippine Sea and the South China Sea. Generated linear regression, frequency correlation matrix (FCM), Burr distribution and Gumbel distribution were described for the analysis of correlation with environmental parameters including wind speed (WS), significant wave height (SWH), and the inter-frequency relationship and probability density function of noise levels (NLs). When the typhoons were quite close to the receivers, the increment of NLs exceeded 10 dB. Whilst ambient noise was completely dominated by wind agitation, NLs were proportional to the cubic and quintic functions of WS and SWH, respectively. The fitted results between NLs and oceanic parameters were different for “before typhoon” and “after typhoon”. The fitted slopes of linear regression showed a linear relationship with the logarithm of frequency. The average observed typhoon-generated NLs were 5 dB lower than the Wenz curve at the same wind force due to the insufficiently developed sea state or the delay between NLs and WS. The cross-correlation coefficient of FCM, which can be utilized in the identification of noise sources in different bands, exceeded 0.8 at frequencies higher than 250 Hz. Furthermore, standard deviation increased with frequency. The kurtosis was equal to 3 at >400 Hz approximately. The characteristics of NLs showed good agreement with the results of FCM. 相似文献
16.
Microwave remote sensing is one of the most useful methods for observing the ocean parameters. The Doppler frequency or interferometric phase of the radar echoes can be used for an ocean surface current speed retrieval,which is widely used in spaceborne and airborne radars. While the effect of the ocean currents and waves is interactional. It is impossible to retrieve the ocean surface current speed from Doppler frequency shift directly. In order to study the relationship between the ocean surface current speed and the Doppler frequency shift, a numerical ocean surface Doppler spectrum model is established and validated with a reference. The input parameters of ocean Doppler spectrum include an ocean wave elevation model, a directional distribution function, and wind speed and direction. The suitable ocean wave elevation spectrum and the directional distribution function are selected by comparing the ocean Doppler spectrum in C band with an empirical geophysical model function(CDOP). What is more, the error sensitivities of ocean surface current speed to the wind speed and direction are analyzed. All these simulations are in Ku band. The simulation results show that the ocean surface current speed error is sensitive to the wind speed and direction errors. With VV polarization, the ocean surface current speed error is about 0.15 m/s when the wind speed error is 2 m/s, and the ocean surface current speed error is smaller than 0.3 m/s when the wind direction error is within 20° in the cross wind direction. 相似文献
17.
西沙北部海域海洋环境噪声频谱特性 总被引：2，自引：1，他引：1
Ambient noise is very important in the prediction system of a sonar performance, because it determines the detection ranges always in a passive sonar and usually in an active sonar. In the uncertainty issue for the so-nar performance, it is necessary to know this factor＇s statistical characteristics that are only obtained by data processing from the underwater ambient noise measurements. Broad-band ambient noise signals from 16 hydrophones were amplified and recorded for 2 min every 1 h. The results show that the ambient noise is essentially depth independent. The cross correlation of the ambient noise levels （1, 6 and 12 h average） with a wind speed is presented. It was found that the correlation is excellent on the upper frequency band and the noise levels correlate better with high wind speed than with low wind speed. 相似文献
18.
The present study demonstrates the use of ambient noise for estimating the ocean depth in shallow waters of the Indian continental shelf. Ocean depth is estimated using a technique known as passive fathometer processing, which involves the correlation of surface-generated ambient noise with its reflection from the seabed. Ambient noise data collected using a vertical array from four locations (off Cochin, off Cuddalore, off Kakinada, and off Goa) along the Indian continental shelf were used for the study. The noise data recorded during windy conditions within the frequency band of 200–5000 Hz were used for analysis. Both conventional and adaptive beamforming techniques were applied for the passive estimation of the ocean depth. The estimated water column depth using the ambient noise measurement shows good agreement with the known depth from all the four locations. The advantages and limitations of the adaptive processing technique have also been discussed. The study clearly demonstrates the application of the surface-generated ambient noise in seabed image processing. 相似文献