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城市道路交通噪声自动监测技术探讨 总被引:1,自引:1,他引:0
从开展城市道路交通噪声自动监测的必要性出发 ,对城市道路交通噪声自动监测的监测点位布设和自动监测系统的结构进行了探讨。指出了城市道路交通噪声自动监测点位两种设计方法———路段优化点位法和干线路段普测点位法的优缺点。述说了城市道路交通噪声自动监测系统结构框图。 相似文献
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文章作者对兰州市七里河区城市道路交通噪声噪声问题进行了论述,其污染己成为七里河区的首要环保问题,提出了降低噪声污染的建议和治理措施 相似文献
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公路噪声模式存在的问题与处理 总被引:1,自引:0,他引:1
采用《公路建设项目环境影响评价规范》(试行)中推荐的环境噪声影响预测模式(规范模式)和以“城市道路交通噪声预测统计模型”为基础的综合模式分别对高速公路交通噪声进行了计算,并利用实测资料对两种模式进行了检验和比较分析。指出规范模式存在着对低车流量噪声预测值偏大(约4-5dB)等问题,而综合模式可以部分弥补这些缺陷,使预测能力明显提高。 相似文献
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从贵州城市道路发展研究十年来交通噪声变化趋势,并对其进行综合分析评价,提出相关的治理对策. 相似文献
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由于鸟类的听觉频率范围与人类不同,以往基于A计权声压级的噪声测量方法,用于鸟类声环境的监测评价并不准确。以广东省江门市新会区“小鸟天堂”风景名胜区为例,开展铁路交通噪声对鸟类生态环境的影响研究。首先,通过实地调查,对鸟类生态区的多个监测点进行声环境线性频谱测量;其次,根据新茂铁路新会段的规划布局,采用模式预测法计算铁路运行期间在监测点产生的交通噪声频谱,并与铁路运行前实地测量的现状频谱叠加;在此基础上,进一步探讨铁路交通噪声对鸟类生态区声环境的影响以及预防措施。研究结果表明,列车运行时在鸟类良好听觉频率范围的噪声增量可达10~30dB,将严重影响鸟类声环境;当采取全封闭声屏障防护措施之后,可有效降低“小鸟天堂”景区范围的噪声。 相似文献
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北京市典型道路交通噪声排放特征 总被引:1,自引:1,他引:0
采用北京市道路交通噪声自动监测系统2013—2017年采集的等效连续A声级数据,对城市快速路、城市主干线、城市次干线、城市支路的代表性站点噪声排放情况进行了统计分析,结果显示,北京市不同等级的道路噪声排放具备一定的特征,排放水平从大到小依次为城市快速路城市主干线城市支路和城市次干线,道路噪声随时间变化存在较为一致的周期性排放特征,24 h变化特征比较明显。个别道路排放特征存在特异性,如城市主干线道路的一个代表监测站点噪声监测值出现了逐年下降趋势,分析发现,北京市非首都功能疏解对其噪声值的下降有一定贡献。采取一定的规划和管理措施有助于减少道路交通噪声的排放。 相似文献
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The City of Amman, Jordan, has been subjected to persistent increase in road traffic due to overall increase in prosperity, fast development and expansion of economy, travel and tourism. This study investigates traffic noise pollution in Amman. Road traffic noise index L
10(1 h) was measured at 28 locations that cover most of the City of Amman. Noise measurements were carried out at these 28 locations two times a day for a period of one hour during the early morning and early evening rush hours, in the presence and absence of a barrier. The Calculation of Road Traffic Noise (CRTN) prediction model was employed to predict noise levels at the locations chosen for the study. Data required for the model include traffic volume, speed, percentage of heavy vehicles, road surface, gradient, obstructions, distance, noise path, intervening ground, effect of shielding, and angle of view. The results of the investigation showed that the minimum and the maximum noise levels are 46 dB(A) and 81 dB(A) during day-time and 58 dB(A) and 71 dB(A) during night-time. The measured noise level exceeded the 62 dB(A) acceptable limit at most of the locations. The CTRN prediction model was successful in predicting noise levels at most of the locations chosen for this investigation, with more accurate predictions for night-time measurements. 相似文献
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对北京、天津、重庆等20个城市的道路交通及城市区域噪声进行了对比抽测,结果表明地方监测站能够按照相关的技术规范、标准方法开展噪声监测工作,地方站与总(省)站监测结果有非常好的可比性,监测数据97.5%在可接受范围内。并针对抽测中发现的问题,提出了相应的对策与建议。 相似文献
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The objective of this study is to develop an empirical traffic noise prediction model under interrupted traffic flow conditions
using two analytical the approaches, the first being the acceleration lane approach and second being the deceleration approach.
The urban road network of Bangalore city has been selected as the study area. Sixteen locations are chosen in major traffic
junctions of the study area. The traffic noise data collected from the study locations were analyzed separately for both acceleration
and deceleration lanes when vehicles leave an intersection on a green traffic light and come to a stop on red traffic light.
Based on the study, a regression noise prediction model has been developed for both acceleration and deceleration lanes. 相似文献
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On the basis of the continuous traffic noise data observed at 142 sites distributed in 52 roads from 1989 to 2003, the characteristics of traffic noise and effect factors were analyzed through traffic noise indices, such as Lep, L10, L50, L90, TNI, and Pn. Our findings allow us to reach a number of conclusions as follows: Firstly, traffic noise pollution was serious, and its fluctuant characteristic was obvious, resulting in a great intrusion to public in Lanzhou City during last 15 years. Secondly, traffic noise made a distinction between trunk lines and secondary lines, west-east direction roads and north-south direction roads. Thirdly, spatial character and time rule of traffic noise were obvious. In addition, traffic volume, traffic composition, road condition, and traffic management were identified as the key factors influencing traffic noise in this city. 相似文献
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This paper elucidates the basic approach of determining the path coefficients and its significance in the road traffic noise
annoyance. Path model not only outline the direct effect of the traffic noise on the nearby residents but also indicate the
indirect effect via other variables. In this study seven variables were considered for determining road traffic noise annoyance.
However the same would be equally applicable for other situations like aircraft noise, rail noise, and industry noise with
the different variables. At the outset a priori path model was designed and then on the basis of the partial regression coefficient
values for the different paths, the revised path model was developed. The standardized partial regression coefficients known
as path coefficients, determine the strength of the linkage among variables. Some of the paths in the model were not statistically
significant. Revised path models were developed by deleting the insignificant paths whose values were found above 5% level.
In the revised path model, thus the direct and indirect effect due to a particular variable causing the road traffic noise
annoyance could be observed. 相似文献