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Research results of the meteorological data influencing the accuracy of noise measurement results

机译:影响噪声测量结果准确性的气象数据研究结果

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Meteorological circumstances are significantly influencing the accuracy of traffic noise measurement data. Similarly to the authoritative traffic data, it seems necessary to introduce the concept of authoritative meteorological conditions and the actual measurement data need to be converted to it. Especially, this topic is important for the evaluation of measurement data of the current monitoring systems. The literature gives correction for measurements over 200 m primarily, but in most cases the noise measurement and its evaluation is performed within 200 m. Based on the data of long-term (24-hour) noise and corresponding meteorological measurements performed in the past, we established the relation between half-hour equivalent noise and meteorological parameters (temperature, humidity, etc.). We developed correlation with correction. We determined the critical distance, altitude, weather condition over which the data of the noise measurement give inaccurate results without correction. We set a function with the least squares method on the resulting sound pressure level-humidity-time functions. We assigned an equation to it - with the available statistical accuracy - which describes, inter alia, noise load - humidity relationship in mathematical form. We present the tests performed and its results, developed mathematical correlation, its applicability too. We analyze in detail the specific areas of application of the method developed and our suggestions for modernizing the noise measurement method. Meteorological circumstances are significantly influencing the accuracy of traffic noise measurement data. Similarly to the authoritative traffic data, it seems necessary to introduce the concept of authoritative meteorological conditions and the actual measurement data need to be converted to it. Especially, this topic is important for the evaluation of measurement data of the current monitoring systems.
机译:气象环境显着影响交通噪声测量数据的准确性。与权威的交通数据类似,似乎有必要介绍权威气象条件的概念,并且需要将实际测量数据转换为它。特别是,本主题对于评估当前监控系统的测量数据非常重要。文献主要为200米的测量进行了校正,但在大多数情况下,噪声测量及其评估在200米内进行。根据长期(24小时)噪声的数据和过去进行的相应气象测量,我们在半小时等效噪声和气象参数(温度,湿度等)之间建立了关系。我们与校正进行了相关性。我们确定了临界距离,高度,噪声测量数据的天气状况,在没有校正的情况下给出不准确的结果。我们将具有最小二乘法的函数设置在所产生的声压水平湿度时间函数上。我们为其分配了一个方程 - 具有可用的统计精度 - 其尤其描述,涉及数学形式的噪声负载湿度关系。我们介绍了所执行的测试及其结果,也开发了数学相关性,其适用性。我们详细介绍了该方法的特定应用领域和我们对现代噪声测量方法的建议。气象环境显着影响交通噪声测量数据的准确性。与权威的交通数据类似,似乎有必要介绍权威气象条件的概念,并且需要将实际测量数据转换为它。特别是,本主题对于评估当前监控系统的测量数据非常重要。

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