Lercher Peter, De Coensel Bert, Dekonink Luc, Botteldooren Dick
Medical University Innsbruck, Christoph-Probst-Platz, Innrain 52, Innsbruck A-6020, Austria.
Waves Research Group, Department of Information Technology, Ghent University, Technologiepark-Zwijnaarde 15, Ghent B-9052, Belgium.
Int J Environ Res Public Health. 2017 Jun 20;14(6):663. doi: 10.3390/ijerph14060663.
Sufficient data refer to the relevant prevalence of sound exposure by mixed traffic sources in many nations. Furthermore, consideration of the potential effects of combined sound exposure is required in legal procedures such as environmental health impact assessments. Nevertheless, current practice still uses single exposure response functions. It is silently assumed that those standard exposure-response curves accommodate also for mixed exposures-although some evidence from experimental and field studies casts doubt on this practice. The ALPNAP-study population ( = 1641) shows sufficient subgroups with combinations of rail-highway, highway-main road and rail-highway-main road sound exposure. In this paper we apply a few suggested approaches of the literature to investigate exposure-response curves and its major determinants in the case of exposure to multiple traffic sources. Highly/moderate annoyance and full scale mean annoyance served as outcome. The results show several limitations of the current approaches. Even facing the inherent methodological limitations (energy equivalent summation of sound, rating of overall annoyance) the consideration of main contextual factors jointly occurring with the sources (such as vibration, air pollution) or coping activities and judgments of the wider area soundscape increases the variance explanation from up to 8% (bivariate), up to 15% (base adjustments) up to 55% (full contextual model). The added predictors vary significantly, depending on the source combination. (e.g., significant vibration effects with main road/railway, not highway). Although no significant interactions were found, the observed additive effects are of public health importance. Especially in the case of a three source exposure situation the overall annoyance is already high at lower levels and the contribution of the acoustic indicators is small compared with the non-acoustic and contextual predictors. Noise mapping needs to go down to levels of 40 dBA,Lden to ensure the protection of quiet areas and prohibit the silent "filling up" of these areas with new sound sources. Eventually, to better predict the annoyance in the exposure range between 40 and 60 dBA and support the protection of quiet areas in city and rural areas in planning sound indicators need to be oriented at the noticeability of sound and consider other traffic related by-products (air quality, vibration, coping strain) in future studies and environmental impact assessments.
大量数据涉及许多国家混合交通源声音暴露的相关流行情况。此外,在诸如环境卫生影响评估等法律程序中,需要考虑综合声音暴露的潜在影响。然而,目前的做法仍然使用单一暴露反应函数。人们默认那些标准暴露反应曲线也适用于混合暴露——尽管一些实验和实地研究的证据对此做法提出了质疑。ALPNAP研究人群(=1641)显示了足够多的亚组,涉及铁路 - 公路、公路 - 主干道以及铁路 - 公路 - 主干道声音暴露的组合。在本文中,我们应用文献中提出的一些方法来研究在暴露于多种交通源情况下的暴露反应曲线及其主要决定因素。以高度/中度烦恼和全量表平均烦恼作为结果。结果显示了当前方法的几个局限性。即使面对固有的方法学局限性(声音的能量等效求和、总体烦恼评级),考虑与声源同时出现的主要背景因素(如振动、空气污染)或应对活动以及对更广泛区域声景的判断,可将方差解释从高达8%(双变量)、高达15%(基础调整)提高到高达55%(完整背景模型)。添加的预测变量差异很大,具体取决于声源组合。(例如,主干道/铁路有显著的振动影响,高速公路则没有)。尽管未发现显著的相互作用,但观察到的相加效应具有公共卫生重要性。特别是在三源暴露的情况下,在较低水平时总体烦恼就已经很高,与非声学和背景预测变量相比,声学指标的贡献较小。噪声地图需要降低到40 dBA、Lden水平,以确保对安静区域的保护,并禁止用新声源无声地“填满”这些区域。最终,为了更好地预测40至60 dBA暴露范围内的烦恼,并在规划声音指标时支持城市和农村地区安静区域的保护,未来的研究和环境影响评估中声音指标需要以声音的可察觉性为导向,并考虑其他与交通相关的副产品(空气质量、振动、应对压力)。