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。     

机场周围飞机噪声测量的影响因素分析

简要回顾了机场周围飞机噪声的测量方法、评价指标;针对测量过程中存在的问题,从测量周期、飞行架次分布、机型的代表性、环境背景噪声等几个方面考察了对测量数据的影响,对机场周围飞机噪声测量的影响因素进行了分析;论证了缩短测量周期的可行性,当每天的飞行架次在200架左右时,以3 d取代7 d的做法较为可行;对于飞机噪声测量过程中存在的问题,提出了个人看法和建议。     

机场周围区域飞机噪声监测方法对比研究

中国机场周围区域飞机噪声监测一直采用计权等效连续感觉噪声级L_(WECPN)为评价量,标准修订后拟采用昼夜等效声级L_(dn)为评价量,监测方法也相应更改。该文通过理论推导及宁波栎社机场噪声现场监测数据,系统比较了2种机场周围区域飞机噪声监测方法,并分析了监测结果的差异及影响因素。结果表明:L_(WECPN)与L_(dn)在相差10 dB的基础上,差值受到单次飞机噪声值和傍晚飞行次数2个因素影响。单次飞机噪声监测量L_(EPN)和L_(AE)在飞机匀速直线经过时差值约为3.75 dB,实际上受到飞行航迹、飞机运动状态、噪声传播环境、突发噪声干扰等因素影响,此次监测的187次飞机L_(EPN)和L_(AE)的差值范围为2.1～5.5 dB。傍晚飞行次数引起的监测结果差值范围为0～4.8 dB。     

高原机场飞机噪声监测与计算结果比较分析

高原机场飞机架次较少,机型单一,飞行周期稳定,以及高原特殊的环境特征,有时会导致现场实际噪声监测数据无效。应用综合噪声模型(INM)软件对青海玉树机场飞机噪声进行计算,其结果与监测结果比较显示,计算值和监测值误差在±6 d B的范围以内。探讨提出采用飞机噪声计算模式,可以为高原机场飞机噪声管理提供可靠技术支撑。     

南京市站为解决禄口机场噪声扰民问题提供技术支持

南京禄口机场飞机噪声扰民和降飞尾流危害问题引起了江苏省政府的高度重视,专门召开会议研究解决。南京市环保局牵头成立了“禄口机场环境污染调研技术组”,南京市环境监测中心站负责机场噪声扰民范围技术界定工作。９月底南京市站会同有关部门绘制了机场飞机噪声等值线...     

小马赫数螺旋桨飞机噪声对城市环境影响的测试与评价方法研讨

飞机噪声对环境的影响,现在多是在机场进行测量。笔者认为,由于飞机在起飞和降落时的发动机工况、飞行方向、飞行高度均与飞机在城市上空平飞时不同,所以对平飞越过城市上空的飞机噪声影响城市环境的测量,原则上不应以机场飞机噪声的测量来代替。然而在城市环境中,由于建筑物及地面形貌多样性的影响,使测点选择和数据处理发生很大困难。笔者对小马赫数飞行的螺旋桨飞机噪声的特点进行了分析,实施了解决这些困难的简单可行的方法。     

不同类型机场项目环保管理问题分析

简述了全国机场的主要分类。根据近几年对各类型机场开展验收监测的实际情况及经验,指出了不同类型机场面临的主要环境问题;对机场项目验收中干线及以上规模机场飞机噪声污染、尾气排放,支线机场生态保护、中水回用、不同类型机场飞机噪声监测等问题进行了分析;就完善机场项目环保管理问题提出了建议。     

机场飞机噪声自主验收监测难点与解决对策探讨

中国机场建设高速发展,但竣工环保验收制度执行不理想。在自主验收的大背景下,飞机噪声问题将直接制约机场建设项目的环保验收。笔者分析了验收监测布点要求不明确、验收监测工况要求不完善、飞机噪声监测计算方式不统一、降噪措施落实难效果差等自主验收难点,并提出了合理选择测点位置、完善验收工况调查内容、根据机场类型和敏感点分布特征选择飞机噪声监测计算方式以及智能化大数据协管主动降噪措施的解决对策。     

浅谈中国机场噪声监控系统的发展

简述了机场噪声监控系统,分析了机场噪声监控系统在噪声管理上的作用,指出了国内机场噪声监控系统存在的问题,机场噪声管理水平落后,相关法律规范不够完善,机场噪声监控系统的应用处于探索阶段,机场噪声监控设备的软件功能有待加强。提出,应加快噪声监控系统相关的技术标准体系建设,对国内相关企业加强资金投入,扶持自主技术的研发,推行试点研究,示范项目学习,注重自主研发,推进公众参与度,提升服务功能。     

机场噪声污染的舒适性影响评价和经济损失分析

飞机噪声污染带来的经济损失是多方面的和难以计算的,噪声污染的舒适性资源的损失仅仅是其中的一部分。本文以广州市白云机场为例,介绍了机场噪声污染的舒适性影响评价及其经济损失分析方法,计算方法为调查评价法,主要参数为人们对改善噪声环境的支付愿望。     

Seasonal source influence on river mass flows of benzotriazoles

The anticorrosive agents 1H-benzotriazole (1H-BT), 4-methyl-1H-benzotriazole (4 Me-BT) and 5-methyl-1H-benzotriazole (5 Me-BT), which are usually added to dishwasher detergents, automotive antifreeze formulations and aircraft de-icing/anti-icing fluids (ADAFs), were measured in river water. Samples were collected from 15 sampling sites in the mainstream and selected tributaries of a medium-sized catchment area during summer and winter periods. The aim of this study was to assess a seasonal source influence on mass flows of benzotriazoles (BTs). The study area was representatively selected for an area with a possible influence of airport surface runoff. River discharge measurements were also performed. Moreover, BT concentrations were measured in an anti-icing and a de-icing fluid used at German airports as well as in several dishwasher detergents. The highest concentrations of all three compounds in river water were measured during the winter seasons. The maximum BT mass flows were calculated for all three substances in January when the mean monthly air temperature was the lowest; mass flows were the lowest in July when the mean monthly air temperature was the highest. A significant seasonal influence on BT mass flows in river water was observed for monitoring stations with a possible influence of airport surface runoff and for sampling locations where such an influence could be excluded. This indicates an input of BTs from other temperature-dependent applications, e.g. the use of antifreeze formulations in automotive windscreen wiper or cooling systems. 1H-BT was detected in two dishwasher tablets; 4 Me-BT and 5 Me-BT were not detected. BTs were measured in the anti-icing fluid with concentrations of 715 ng g(-1) (1H-BT), 1425 ng g(-1) (4 Me-BT) and 536 ng g(-1) (5 Me-BT); none of the BTs were detected in the de-icing fluid. Distribution patterns of BTs in ADAF and dishwasher detergents differed from those in river water.     

Effects of noise pollution over the blood serum immunoglobulins and auditory system on the VFM airport workers, Van, Turkey

Noise pollution is a common health problem for developing countries. Especially highways and airports lead to noise pollution in different levels and in many frequencies. In this study, we focused on the effect of noise pollution in airports. This work aimed measurements of noise pollution levels in Van Ferit Melen (VFM) airport and effect of noise pollution over the immunoglobulin A, G, and M changes among VFM airport workers in Turkey. It was seen that apron and terminal workers were exposed to high noise (>80 dB(A)) without any protective precautions. Noise-induced temporary threshold shifts and noise-induced permanent threshold shifts were detected between the apron workers (p?<?0.001) and terminal workers (p?<?0.005). IgA values of apron terminal and control group workers were approximately the same in the morning and increased in a linear manner during the day. This increase was statistically significant (p?<?0.001). IgG and IgM values of apron, terminal, and control group workers were approximately same in the morning. Apron and terminal workers IgG and IgM levels were increased until noon and then decreased until evening as compare to control group, but these changes were not statically significant (p?>?0.05). These findings suggested that the noise pollution in the VFM airport could lead to hearing loss and changes in blood serum immunoglobulin levels of airport workers. Blood serum immunoglobulin changes might be due to vibrational effects of noise pollution. Airport workers should apply protective precautions against effect of noise pollution in the VFM airport.     

Air pollution associated with airports

Air quality in the vicinity of airports is examined with particular reference to a detailed study of Gatwick Airport (UK). Ambient air concentrations of carbon monoxide, hydrocarbons (total and non-methane), oxides of nitrogen, smoke and airborne particulate lead have been measured at seven locations around the airport. The results obtained have been compared with ambient air quality guidelines, where available, and with results from other monitoring sites in the UK. It is concluded that the airport cannot be considered to be a significantly more important contributor to average pollutant ground-level concentrations than other sources in the area.