Annoyance from transportation noise: Relationships with exposure metrics DNL and DENL and their confidence intervals

Annoyance from transportation noise: Relationships with exposure metrics DNL and DENL and their confidence intervals
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DOI:
10.2307/3454901
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发表时间:
2001-04-01
影响因子:
10.4
通讯作者:
Oudshoorn, CGM
Oudshoorn, CGM
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Miedema, HME;Oudshoorn, CGM

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我们提出了噪声干扰的分布模型,其均值随噪声暴露量的变化而变化。采用昼夜级(DNL)和昼夜级(DENL)作为噪声描述符。因为整个烦恼分布已经建模,所以总结了这个分布的任何烦恼度量都可以从模型中计算出来。我们分别对飞机、道路交通和铁路的噪声烦恼研究数据进行了拟合。提出了以下暴露和烦恼措施组合的模型所隐含的关系的多项式近似值:DNL或DENL以及“高度烦恼”的百分比(在0-100的范围内截止为72),“烦恼”的百分比(在0-100的范围内截止为50),或(至少)“有点烦恼”的百分比(在0-100的范围内截止为28)。这些近似很好,而且对于实际计算来说,它们比模型本身更容易,因为模型包含一个正态分布。我们的结果是基于之前用于建立BNL和高度烦恼百分比之间关系的相同数据集。在本文中,我们提供了更好的估计置信区间由于改进的模型之间的烦恼和噪音暴露。此外,使用除DNL和百分比高度恼火之外的描述符的关系,如本文所示,尚未在大型数据集的基础上建立。
We present a model of the distribution of noise annoyance with the mean varying as a function of the noise exposure. Day-night level (DNL) and day-evening-night level (DENL) were used as noise descriptors. Because the Entire annoyance distribution has been modeled, any annoyance measure that summarizes this distribution can be calculated from the model. We fitted the model to data From noise annoyance studies for aircraft, road traffic, and railways separately. Polynomial approximations of relationships implied by the model for the combinations of the following exposure and annoyance measures are presented: DNL or DENL, and percentage "highly annoyed" (cutoff at 72 on a scale of 0-100), percentage "annoyed" (cutoff at 50 on a scale of 0-100), or percentage (at least) "a little annoyed" (cutoff at 28 on a scale of 0-100). These approximations are very good, and they are easier to we for practical calculations than the model itself, because the model involves a normal distribution. Our results are based on the same data set that was used earlier to establish relationships between BNL and percentage highly annoyed. In this paper we provide better estimates of the confidence intervals due to the improved model of the relationship between annoyance and noise exposure. Moreover, relationships using descriptors other than DNL and percentage highly annoyed, which are presented here, have not been established earlier on the basis of a large dataset.