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首页> 外文期刊>Environmental Modelling & Software >Development of an open-source road traffic noise model for exposure assessment
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Development of an open-source road traffic noise model for exposure assessment

机译：开发用于暴露评估的开源道路交通噪声模型

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摘要

This paper describes the development of a model for assessing TRAffic Noise EXposure (TRANEX) in an open-source geographic information system. Instead of using proprietary software we developed our own model for two main reasons: 1) so that the treatment of source geometry, traffic information (flows/speeds/spatially varying diurnal traffic profiles) and receptors matched as closely as possible to that of the air pollution modelling being undertaken in the TRAFFIC project, and 2) to optimize model performance for practical reasons of needing to implement a noise model with detailed source geometry, over a large geographical area, to produce noise estimates at up to several million address locations, with limited computing resources. To evaluate TRANEX, noise estimates were compared with noise measurements made in the British cities of Leicester and Norwich. High correlation was seen between modelled and measured L-Aeq,L-1hr (Norwich: r = 0.85, p = .000; Leicester: r = 0.95, p = .000) with average model errors of 3.1 dB. TRANEX was used to estimate noise exposures (L-Aeq,L-1hr, L-Aeq,L-16hr, L-night) for the resident population of London (2003-2010). Results suggest that 1.03 million (12%) people are exposed to daytime road traffic noise levels >= 65 dB(A) and 1.63 million (19%) people are exposed to night-time road traffic noise levels >= 55 dB(A). Differences in noise levels between 2010 and 2003 were on average relatively small: 0.25 dB (standard deviation: 0.89) and 0.26 dB (standard deviation: 0.87) for L-Aeq,L-16hr and L-night. Crown Copyright (C) 2015 Published by Elsevier Ltd. This is an open access article under the CC BY license
机译：本文介绍了在开放源代码地理信息系统中评估交通噪声暴露（TRANEX）模型的开发。代替使用专有软件，我们开发自己的模型有两个主要原因：1）使源几何形状，交通信息（流量/速度/空间变化的昼夜交通概况）和接收器的处理尽可能与空中相匹配TRAFFIC项目正在进行污染建模，以及2）出于实际原因优化模型性能，因为实际原因是需要在一个较大的地理区域内实施具有详细源几何结构的噪声模型，以产生多达数百万个地址位置的噪声估计，有限的计算资源。为了评估TRANEX，将噪声估计值与在英国莱斯特市和诺里奇市进行的噪声测量进行了比较。建模和测量的L-Aeq，L-1hr之间存在高度相关性（诺里奇：r = 0.85，p = .000;莱斯特：r = 0.95，p = .000），平均模型误差为3.1 dB。 TRANEX用于估计伦敦常住人口（2003-2010年）的噪声暴露（L-Aeq，L-1小时，L-Aeq，L-16小时，L晚）。结果表明，有1.03百万（12％）的人暴露在白天道路交通噪音水平> = 65 dB（A）中，有163万（19％）的人暴露在夜间道路交通噪音水平> = 55 dB（A） 。 2010年和2003年之间的噪音水平差异平均相对较小：L-Aeq，L-16hr和L-night的0.25 dB（标准偏差：0.89）和0.26 dB（标准偏差：0.87）。 Crown版权（C）2015，由Elsevier Ltd发布。这是CC BY许可下的开放访问文章

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  • 来源
    《Environmental Modelling & Software》 |2015年第12期|183-193|共11页
  • 作者

    Gulliver John; Morley David; Vienneau Danielle; Fabbri Federico; Bell Margaret; Goodman Paul; Beevers Sean; Dajnak David; Kelly Frank J.; Fecht Daniela;

  • 作者单位

    Univ London Imperial Coll Sci Technol & Med, UK Small Area Hlth Stat Unit SAHSU, MRC PHE Ctr Environm & Hlth, London W2 1PG, England;

    Univ London Imperial Coll Sci Technol & Med, UK Small Area Hlth Stat Unit SAHSU, MRC PHE Ctr Environm & Hlth, London W2 1PG, England;

    Swiss Trop & Publ Hlth Inst, Dept Epidemiol & Publ Hlth, CH-4002 Basel, Switzerland|Univ Basel, CH-4003 Basel, Switzerland;

    Univ London Imperial Coll Sci Technol & Med, UK Small Area Hlth Stat Unit SAHSU, MRC PHE Ctr Environm & Hlth, London W2 1PG, England;

    Univ Basel, CH-4003 Basel, Switzerland;

    Newcastle Univ, Sch Engn & Geosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England;

    Kings Coll London, Environm Res Grp, London SE1 9NH, England;

    Kings Coll London, Environm Res Grp, London SE1 9NH, England;

    Kings Coll London, Environm Res Grp, London SE1 9NH, England;

    Univ London Imperial Coll Sci Technol & Med, UK Small Area Hlth Stat Unit SAHSU, MRC PHE Ctr Environm & Hlth, London W2 1PG, England;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Road traffic; Noise pollution; GlS; PostgreSQL; L-Aeq; Exposure assessment;

    机译：道路交通;噪声污染;GLS;PostgreSQL;L-Aeq;暴露评估;

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