乌鲁木齐市禁鸣交通喇叭的效果分析

禁鸣交通嗽叭是改善交通噪声的重要措施。道路噪声测试结果表明效能噪声与鸣笛次数成正相关。交通喇叭的鸣响次数之差与鸣响前后的等效声级Ｌｅｑ差值的回归方程为△Ｌｅｑ＝０．０８３０８＋０．０８８７７Ａ。禁鸣喇叭对降低交通噪声的显著程度随道路路面的好坏和车辆类型的不同而有一定差异。     

城市道路交通噪声分布模拟研究

通过对梅州市中心城区7条道路的噪声监测,分析了中心城区道路的噪声污染水平。采用道路交通噪声预测模型,以实测交通流数据对中心城区的噪声污染进行模拟和减噪措施评估。结果表明,采用限速措施和安装声屏障措施均有降低噪声污染的效果,为管理部门防治噪声污染提供了参考。     

新增交通干线噪声对总体交通干线噪声影响的探讨

新增交通干线噪声对总体交通干线噪声的影响,取决于新增交通干线在总体交通干线中的权重Ｐ及其噪声平均值与原有交通干线噪声平均值的差值ΔＬｘ。用公式可表示为Ｌｘ＝Ｌｘ原＋Ｐ·ΔＬｘ。在新增交通干线长度的权重Ｐ≤０．３的情况下,新增交通干线噪声对总体交通干线噪声影响不大,原有交通干线噪声水平基本上可以反映新增交通干线后的总体交通干线噪声水平。     

贵州城市道路交通发展与交通噪声变化趋势

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．     

高速公路交通噪声的多普勒效应

通过对高速公路交通噪声现场测定与研究分析,结果表明,由于高速公路上行驶的车辆速度很快,致使在高速公路两侧近距离接收点上,当车辆迎面驶来到背离驶去时,交通噪声出现明显的频率漂移和A声级的显著差异,即出现高速公路交通噪声的多普勒效应。     

高速公路交通噪声预测模型探讨

针对我国当前广泛使用的2种高速公路噪声预测模型《06规范》预测模型与《09导则》预测模型在预测时比较研究,重点利用环境现状监测数据分别对2种模型验证与对比分析.结果表明,2种模型预测值与实测值相差3dB ～5dB,车流量＞ 300辆/h,《09导则》更接近实测值;在夜间车流量＜300辆/h,《06规范》更接近实测值,2种模型结合采用《06规范》计算的车速,距离衰减考虑车流量的大小,在此基础上应用《09导则》,预测结果与实测值更为接近.     

兰州市城区交通噪声日变化规律浅析

通过模糊贴近分析法，建立隶属函数，求贴过度，分析了兰州市城区交通干线噪声日变化规律，提出了强化交通噪声管理的几项措施。     

城市道路交通噪声的危害与防治办法

近年来,随着城市经济的不断增长,人民生活水平的不断提高,城市交通发展迅速,机动车辆大幅度增加,城市交通噪声污染问题越来越突出。城市建设发展迅速,新建扩建的街道、马路使原来偏僻区域变成了繁华嘈杂的市区,从而加重了交通噪声对周边环境的影响。交通噪声声源流动、声级高、干扰时间长、影响范围广,严重扰乱了城市居民的生活、工作和休息。     

奎屯市主要交通干线噪声状况与分析

通过对奎屯市6条主要交通干线3年的交通噪声监测与分析,得出各条道路车流量、车型、车速和路况的差异。使交通噪声在空间上差异明显,各交通干道交通负荷不是很重,但二侧噪声污染却比较严重,而且污染水平逐年提高。     

城市道路交通噪声自动监测技术探讨

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。     

Assessment of Traffic Noise Pollution from 1989 to 2003 in Lanzhou City

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.     

Evaluation of Traffic Noise Pollution in Amman, Jordan

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.     

Road Traffic Noise Prediction Model under Interrupted Traffic Flow Condition

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.     

浅谈锅炉风机噪声的治理

结合工作实际阐述了锅炉风机噪声产生的主要原因。提出了在不同条件下锅炉风机噪声治理措施和应注意的问题。     

乌鲁木齐市汽车尾气排污现状及防治对策探讨

对乌鲁木齐市在用车辆进行了路抽检调查,通过大量数据分析,得出乌鲁木齐市目前汽车尾气排放情况仍令人担忧,治理工作不容忽视。     

锅炉风机的噪声污染与控制

依据多年从事环境污染治理的经验,设计出治理锅炉风机噪声的隔声室,并对该隔声室的制造、治理效果进行了评价,得出了该隔声室是控制噪声污染的有效设备。     

浅谈乌鲁木齐市建筑施工噪声污染趋势及分析

由于建筑施工是能够产生很大噪声的生产建设活动,因此必然会给居民的工作与生活带来很多不便。目前噪声污染逐渐成为环境保护中的一个重要议题。本文对乌鲁木齐市建筑施工噪声污染趋势进行分析,并提出具有针对性的对策和措施。     

乌鲁木齐市空气质量5年变化趋势及治理措施

对乌鲁木齐市建成3个空气自动监测点位以来的空气质量进行统计分析,结果表明,乌鲁木齐市在GDP飞速增长、原煤消耗量逐年递增的情况下,空气质量虽没有进一步恶化,但采暖期空气污染依然非常严重。     

乌鲁木齐市室内环境空气污染成因及防治对策

为进一步掌握室内环境空气污染状况,对乌鲁木齐市毛坯房、公共场所和居民住宅的室内环境空气质量现状进行了监测统计,并调查了居民的健康状况,分析了室内空气污染的原因。监测结果表明,乌鲁木齐市新装修房屋室内环境污染较严重。对此提出了不同污染状况的防治对策。