环境噪声监测中应注意的问题

结合工作实践,提出环境噪声监测中应注意的问题,供参考。1　环境噪声监测环境噪声一般指功能区噪声、区域环境噪声和交通噪声。中山市环境噪声功能区共划分为4类(1类区、2类区、3类区和4类区),每类布点2个,每季度监测1次。该市为国家环保模范城市,布点网格数>200。监测时间为昼6:00～22:00,夜22:00～6:00。监测仪器均采用AWA6218A、B两种型号噪声仪。监测时尽量使用同型号仪器,以避免产生误差。环境噪声监测技术要点见表1。表1　环境噪声监测技术要点项目名称功能区噪声交通噪声区域环境噪声布点原则各选择具有代表性的2个以上的长期…     

城市轨道交通噪声评价方法及其限值的研究

根据城市轨道交通噪声时、空分布特点及污染规律,对轨道交通噪声评价量作了分析研究,提出了列车通过时的最大声级作为城市轨道交通噪声的评价量,并根据噪声时问分布特性曲线提出了与之相对应的等效声级简易计算方法.通过对上海轨道交通3号线沿线居民区的主、客观调查,得到主观烦恼度阈值和干扰睡眠阈值,提出了适用于我国城市轨道交通的环境噪声限值(建议).     

环境噪声场图在环境噪声监测中的应用

环境噪声的“污染图”应是连续分布的噪声物理场.故可以根据各测点的分贝值的大小,勾画出测区噪声场强度分布图,即环境噪声场图(或环境噪声分贝等值图).该图     

我国城市声环境质量状况与分析

介绍了我国城市声环境质量状况,并就相关问题进行了分析.我国城市道路交通声环境质量大部分处于好和较好水平;城市区域声环境质量主要处于较好和轻度污染状态;约有1%的人口处在噪声重度污染区域;交通噪声影响强度最大;社会生活噪声影响范围最广;环境噪声污染仍存在污染投诉率高、交通噪声污染严重等问题,改善声环境质量仍是今后一项主要工作.     

东莞市城市功能区噪声自动监测点位布设初探

依据功能区环境噪声普查数据和城市环境噪声功能区分布特征,进行环境噪声自动监测点位布设.研究的原则和方法,对环境噪声自动监测点位选取具有一定的参考价值和指导意义.     

小学校噪声扰民事件处理实例

学校教学与学生打闹产生的噪声扰民,属调解范畴,无对应的噪声排放标准,应由公安部门进行调解或进行民事诉讼。为了解学校各类噪声的排放强度,参照《工业企业厂界环境噪声排放标准》(GB 12348—2008)对学校的噪声进行监测,为解决噪声纠纷提供参考。     

兰州大学校园环境噪声的测量与分析

通过对兰州大学校园环境噪声的监测,分析了兰州大学校校园环境噪声环境状况,并对校内和校外周边环境噪声进行了对比分析,结果表明,兰州大学校园外部环境噪声大于校园内部,校内东部和西部环境噪声较南部和北部大,校外西部和北部环境噪声较东部和南部大。     

浅析道路交通噪声影响下的人居声环境评价体系建设

道路交通噪声是目前城市中影响范围最广、强度最大的环境噪声,降低其噪声影响,改善城市声环境质量应列为各地政府改善民生的重要工作.根据当前国际形势提出属于人居环境中重要分支的“人居声环境保护”概念,并就该体系建设的几项重要工作进行探讨,为今后城市道路交通噪声影响的评价工作提供借鉴.     

道路交通噪声对城市环境质量的影响

指出在城市环境噪声中，声级最强、干扰最大且较难解决的交通噪声对城市声环境质量的早影响，并提出了在防治措施中，禁鸣是管理好交通秩序，防治噪声污染最经济、效果较好的一条措施。     

公路噪声模式存在的问题与处理

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。     

新疆煤矿项目竣工环保验收工作现状、问题及对策

新疆煤炭资源丰富,资源总量居全国各省之首,煤炭的大规模开采在带来经济效益的同时也带来一系列环境问题,如地表沉陷、水污染、煤矸石、噪声、矿区大气污染等诸多环境破坏和环境污染。为此,针对目前新疆煤矿竣工环境保护验收调查工作中存在的一些问题,提出解决问题的方法和思路。     

平原高速公路交通噪声对两侧敏感区域影响的探讨

针对目前平原高速公路交通噪声影响两侧敏感区域的状况,环评预测结果偏差过大的问题,应用声学传播理论,对交通噪声的衰减结果进行计算,并用实测数据进行验证。其结果对平原高速公路交通噪声的管理与治理提供相应的参考。     

Evolution of building façade road traffic noise levels in Flanders

The evolution of daytime fa?ade noise levels by road traffic at 250 dwellings in Flanders is assessed. Three identical man-operated measurement campaigns have been conducted in the years 1996, 2001 and 2009, during fall. A practical methodology has been developed, based on short time noise measurements and context observations at these locations. The uncertainty introduced by short-term sampling has been quantified as a function of the noise level. Furthermore, a correction is proposed for measuring at a random moment during daytime. Analysis of the data showed that road traffic noise levels hardly changed globally over this period of 13 years. The distribution of changes in noise level at corresponding measurement locations is nevertheless rather wide-all improvements are equally compensated by increases in noise levels at other locations. The percentage of the dwelling fa?ades exposed to daytime noise levels above 65 dBA has increased slightly between 1996 and 2001, but seems to stagnate in 2009. In spite of the increased interest and actions of policy makers during the past decades, noise exposure caused by road traffic at dwelling fa?ades is a persistent problem.     

降雨影响噪声自动监测数据的有效性判定分析

选取北京市近5年夏半年（4—9月）夜间的降雨数据及相关噪声自动监测小时等效声级，对小时雨量与噪声自动监测数据进行数学统计分析，找出影响噪声监测数据的小时雨量值及不同声级受雨噪声影响的雨量限值，作为降雨对噪声自动监测小时等效声级的有效性判定条件。     

Evaluation and analysis of noise levels in Ilorin metropolis, Nigeria

Evaluation and analysis of noise pollution levels have been carried out to determine the level of noise and its sources in Ilorin metropolis. Noise measurements have been done in the morning, at noon, in the evening, and at night to determine noise pollution all over the city. The selected areas of study are commercial centers, road junctions/busy roads, passenger loading parks, and high-density and low-density residential areas. The road junctions had the highest noise pollution levels, followed by commercial centers. The results of this study show that the noise levels in Ilorin metropolis exceeded allowed values at 30 of 42 measurements points. There is a significant difference (P?<?0.05) in the noise pollution levels and traffic noise index in all the locations. From the measured noise values, a map of noise pollution was developed for Ilorin. Many solutions proposed for noise abatement in the city are set out.     

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。     

测点高度对道路交通噪声监测数据的影响

通过在4城市对132条道路进行了道路交通噪声测点高度试验,系统分析了测点高度从手工监测的1.2 m向自动监测的4.5 m转化后,在不同道路情况对道路交通噪声监测数据的影响。结果表明,测点高度提高后监测结果变化在±3 dB(A)以内。待测道路的车道数和测点与机动车道的距离是其主要影响因素。对两测点高度进行对比,4.5 m高度噪声值随水平距离增加衰减较小,测量结果更稳定。     

Proponent-Indigenous agreements and the implementation of the right to free,prior, and informed consent in Canada

Indigenous peoples have gained considerable agency in shaping decisions regarding resource development on their traditional lands. This growing agency is reflected in the emergence of the right to free, prior, and informed consent (FPIC) when Indigenous rights may be adversely affected by major resource development projects. While many governments remain non-committal toward FPIC, corporate actors are more proactive at engaging with Indigenous peoples in seeking their consent to resource extraction projects through negotiated Impact and Benefit Agreements. Focusing on the Canadian context, this article discusses the roots and implications of a proponent-driven model for seeking Indigenous consent to natural resource extraction on their traditional lands. Building on two case studies, the paper argues that negotiated consent through IBAs offers a truncated version of FPIC from the perspective of the communities involved. The deliberative ethic at the core of FPIC is often undermined in the negotiation process associated with proponent-led IBAs.     

Influence of Environmental Factors on the Evolution of Industrial Noise-Induced Hearing Loss

The aim of the study is to investigate how environmental factors, associated with exposure to industrial noise, affect the development of chronic noise-induced hearing loss.The studywas conducted on 186 male subjectsworking in two bottling plants, situated respectively in a small farming community, and in a medium-sized city with significant levels of noise pollution. Levels of occupational exposure were the same for the two groups.The subjects were selected by means of a preliminary medical examination, and exposed to tonal hearing tests and acoustic impedance tests. Statistical analysis was performed on hearing threshold values obtained at the frequencies of 500, 1000, 2000 and 4000 Hz.The comparison between the thresholds obtained in the two groups showed a statistically significant difference, especially at the frequency of 4000 Hz and for occupational exposure exceeding 17 yr. The results led us to conclude that environmental factors, and urban noise in particular, influence the onset and development of occupational acoustic trauma, and that those working in the country are significantly less affected than those in the city. Since occupational exposure was the same for both groups, their different responses must therefore be interpreted as due to differences in nonoccupational exposure, in turn dependent on different opportunities for rest from noise and different levels of exposure to noise pollution.     

Assessment of noise level in sundry processing and manufacturing industries in Ilorin metropolis, Nigeria

In this work, noise level in five selected processing and manufacturing industries in Ilorin are evaluated and compared. Emphasis is given to noise emitted by individual industrial machinery from the selected industries. Event L _Aeq and L _N cycles were studied to identify the noisy machines and to generate baseline data. Findings show that hammer mill machine from mineral-bearing rock-crushing mills produced the highest average noise [98.4 dB(A)], an electric generator 1 [95.6 dB(A)] from the soft drink bottling industry, an electric generator [97.7 dB(A)] from the beer brewing and bottling industry, a vacuum pump [93.1 dB(A)] from the tobacco making industry, and an electric generator 2 [94.1 dB(A)] from the mattress-making industry. The highest and lowest average noise exposure levels are recorded in mineral-bearing rock-crushing mills [93.16 dB(A)] and the mattress making industry [84.69 dB(A)], respectively. The study shows that, at 95% confidence level, there is significant difference (P < 0.05) in noise levels in the industries surveyed. The percentages of machines that emit noise above Federal Environmental Protection Agency and Occupational Safety and Health Administration recommendations [90 dB(A)] are from the soft drink bottling industry (83.3%), the beer brewing and bottling industry (42.9%), the tobacco making industry (71.4%), the mattress making industry (11.1%), and minerals crushing mills (87.5%). In the past 20 years, the noise levels in the soft drink bottling industry were reduced by 0.58 dB(A), and those of the beer brewing and bottling industry were reduced by 9.66 dB(A). However, that of the mattress making industry increased by 2.69 dB(A). On average, the noise level in these industries has been reduced by 2.52 dB(A). The results of this study show that the noise control measures put in place have significant impacts on the noise exposure level in the industries surveyed.