风电场噪声影响模拟方法研究

以浙江沿海某海岛风电场为例,在做好风电场噪声监测数据质量保证的基础上,分析风电场噪声等效声级和距离的关系模型,运用GIS的空间分析功能对研究区的噪声影响进行预测和叠加分析,模拟得到10 m/s风速时风电场噪声的噪声空间影响分布,并提出风机在不同运行工况时风电场噪声的模拟方法和防治措施。该研究为风电场噪声影响分析和管理部门提供参考。     

背景修正对噪声监测结果影响的探讨与实践

分析了背景噪声测量不确定性以及背景修正对噪声监测结果的影响,提出,在实际噪声测量工作中,当测量值与背景值的差值≥3 dB且测量值修正结果与排放限值非常接近时,以及当测量值与背景值的差值3 dB且测量值与排放限值的差值≤4 dB时,对背景噪声进行重复测量,计算背景噪声测量不确定性,利用公式法进行定量背景修正的建议,并在噪声测量和数据处理过程中降低背景噪声测量不确定性,从而减少背景修正对噪声测量结果的影响,更加客观地反映噪声的真实情况。     

风电机组噪声特性研究

以山东某平原风电场机组为例,对机组噪声进行仿真与测试研究.研究分析了风电机组噪声源频率特性、不同风速下的噪声声功率级及噪声的衰减特性,研究结果验证了Focus仿真软件在预测风电机组噪声源的可靠性.该研究为风电场噪声预测及降噪方案的研究提供了参考.     

利用阈值浮动技术实现机场周围飞机噪声的自动测量

介绍一种自动、高效测量机场周围飞机噪声的技术方法"阈值浮动技术",即噪声测量仪的运行阈值随环境背景噪声的高低而自主浮动的技术。利用该技术,当被测飞机噪声声级高于运行阈值时,噪声测量仪启动"记录、分析、录音"等程序的运行;当被测飞机噪声声级低于运行阈值时,停止相关程序的运行。由于运行阈值是浮动的,因而实现了机场周围飞机噪声的自动、高效和准确测量。给出了实现"阈值浮动技术"的计算机算法,并列举了测量实例对该项技术加以验证,证明了该技术方法行之有效。     

东沙沙洲离岸潮间带风电场建设对鸟类的影响

对东沙沙洲离岸潮间带风电场的建设给鸟类造成的影响进行了调查。分析表明,噪声对东沙沙洲迁徙鸟类影响不大;光对夜间迁徙鸟类造成一定的影响;风机对候鸟迁徙影响不大,少数低飞候鸟可能存在撞机风险;风机基础和人工岛的永久占地造成的直接生物量损失为3.2 t/a,总计损失约64万元;风电场建设将使东沙沙洲鸟类栖息地面积减少81.5 km2,约占总栖息地面积的13.9%,但风机对鸻鹬类等中小型涉禽、水鸟的觅食影响不大,风电场区域仍可作为这些鸟类的觅食地。在影响分析的基础上提出了设计、施工、运营阶段相应的防范措施。     

背景噪声在边界噪声测量中的影响及修正

1现行方法未考虑非稳态背景噪声影响 ,经计算得表 1数据 ,可直观选取δ值 :表 1　 ︾与 ηL 的关系 (d B)ΔL 3 .0～ 3 .2 3 .3～ 3 .94.0～ 4.84.9～ 6.0 6.1～ 7.98.0～ 1 1 .0δ 3 .0～ 2 .82 .7～ 2 .3 2 .2～ 1 .81 .7～ 1 .3 1 .2～ 0 .80 .7～ 0 .3δ取值 3 .0 2 .5 2 .0 1 .5 1 .0 0 .5表中δ由ΔL确定 ,ΔL=L- L0 ,式中 L为边界噪声等效声级 ;L0 为同一地点背景噪声等效声级。2背景噪声较高且波动较大时 ,适当延长 L和 L0 的测量时间。背景噪声在边界噪声测量中的影响及修正@金庆先$昆山市环境监测站!江苏昆山215300…     

厂(边)界噪声测量中若干问题探讨

厂（边）界噪声测量中若干问题探讨胡跃平（江苏省常州市环境监测站,常州２１３００１）１背景噪声的测量：①当厂界外噪声源为稳态噪声源其强度低于厂界噪声时,只需在厂内噪声源停运后测量背景噪声;②当厂界外声源强度大于厂界噪声时,需在厂外噪声源停运后测厂界噪...     

突发性背景噪声的修正计算分析

噪声测量过程中蝗受背景噪声的影响,而对于突发性背景噪声因其重现性差,实际操作上的“非同时性”给背景噪声的测量结果及修正均带来一些失准问题。为此对突发性背景噪声的校正问题提出初步建议。     

噪声背景值修正问题研究

为了解和掌握环境背景噪声对边界噪声监测结果的影响情况，本文就此作了相应的探讨。结果显示：当测量值与背景值的差值超过10dB（A）时，可以忽略背景值对测量结果的影响；当测量值与背景值的差值为3～10dB（A）时，应分段考虑背景值的修正；当测量值与背景值的差值小于3dB（A）时，应重新选择时间进行测定。     

厂界噪声背景值修正问题的讨论

在实际计算中 ,按照国家标准 (GB1 2 3 4 9-90 )扣除背景噪声值常常会与待测声源的实际声级值产生较大的误差。利用对噪声源的实际测量数据 ,探讨这种误差产生的原因及结果 ,并建议今后采用计算结果列表查找或者直接用公式计算的方法扣除背景噪声 ,以消除因数据处理不当而产生的误差。     

风对环境噪声自动监测的影响分析

结合大量监测数据及相关资料,对环境噪声监测中声级-风速相关性进行分析,提出进行环境噪声自动监测时,为保证监测数据的科学性和准确性,应同步进行风速测量,参考风速监测数据对噪声监测数据进行有效取舍。     

Elements of a Predictive Model for Determining Beach Closures on a Real Time Basis: The Case of 63rd Street Beach Chicago

Data on hydrometeorological conditions and E. coli concentration were simultaneously collected on 57 occasions during the summer of 2000 at 63rd Street Beach, Chicago, Illinois. The data were used to identify and calibrate a statistical regression model aimed at predicting when the bacterial concentration of the beach water was above or below the level considered safe for full body contact. A wide range of hydrological, meteorological, and water quality variables were evaluated as possible predictive variables. These included wind speed and direction, incoming solar radiation (insolation), various time frames of rainfall, air temperature, lake stage and wave height, and water temperature, specific conductance, dissolved oxygen, pH, and turbidity. The best-fit model combined real-time measurements of wind direction and speed (onshore component of resultant wind vector), rainfall, insolation, lake stage, water temperature and turbidity to predict the geometric mean E. coli concentration in the swimming zone of the beach. The model, which contained both additive and multiplicative (interaction) terms, accounted for 71% of the observed variability in the log E. coli concentrations. A comparison between model predictions of when the beach should be closed and when the actual bacterial concentrations were above or below the 235 cfu 100 ml(-1) threshold value, indicated that the model accurately predicted openings versus closures 88% of the time.     

铁路专用线验收噪声监测方法探讨

铁路专用线与国铁线路相比,具有流量低、分布不均的特点,《声环境质量标准》（GB3096—2008）中交通干线两侧的铁路不包括铁路专用线,铁路专用线两侧的噪声敏感点应该执行相应功能区噪声标准,与铁路边界的距离无关,以火车通过时最大噪声值与背景值比较,评价对其噪声敏感点的影响。本文通过实测数据对铁路专用线噪声监测方法提出看...     

Analysis of Wind Farm Output: Estimation of Volatility Using High-Frequency Data

In the financial year 2011–2012, wind farms supplied 26 % of South Australia’s electricity demand according to the Australian Energy Market Operator’s report. This contribution has risen from zero in 2003. The operation of the electricity grid depends heavily on knowledge of the variability of supply. Wind farm output displays similar conditional volatility as financial market variables. In this paper, a new method of estimating wind farm output volatility on a 5-min time scale is developed through the use of higher-frequency wind farm output data. First, an autoregressive model for the high-frequency data is developed, and it is used to derive a volatility measure for 5-min data. The results are also true in certain general situations when the high-frequency data follow an autoregressive moving average process or exhibits long memory features. The methods described here are analogous to realised volatility measures used in financial series, except that wind farm output data are measured at uniform intervals, unlike random trading times for financial transactions.     

Computational Fluid Dynamics Modelling of the Pollution Dispersion and Comparison with Measurements in a Street Canyon in Helsinki

A measuring campaign was conducted in a street canyon (Runeberg St.) in Helsinki in 2003–2004. The concentrations of NO _x , NO₂, PM₁₀ and PM_2.5 were measured at street level and at roof level at an urban background location. This study utilises the data measured from 1 Jan to 30 April, 2004, when wind speed and direction measurements were also conducted on-site at the roof level. The computational fluid dynamics model ADREA-HF was used to compute the street concentrations, and the results were compared with the measurements. The predictions for the selected cases agreed fairly well (within < 25 % for 15 min average values) with the measured data, except for two cases: a windward flow in case of a low wind speed, and a moderate southerly flow parallel to the street canyon. The main reasons for the differences of predictions and measurements are the negligence of traffic-induced turbulence in the modelling and an under-prediction of ventilation of urban background air from a crossing street. Numerical results are presented for various example cases; these illustrate the formation of the vortices in the canyon in terms of the wind direction and speed and the influence of the characteristics of the flow fields on the concentration distributions.     

匀速行驶小型载客汽车噪声频谱研究

系统测量了5辆小型载客汽车分别以20~100 km/h匀速行驶时的车外噪声频谱,得到了低、中、高各频段声压级随车速的变化关系,进一步与城市道路交通噪声频谱相比较,为从声源上控制城市道路交通噪声提供有力的参考依据。