Noise Mapping最新文献_第9页

Measurements and prediction of road traffic noise along high-rise building façades in Athens 雅典市高层建筑周边道路交通噪声的测量与预测

IF 2.8

Noise Mapping Pub Date : 2020-01-01 DOI: 10.1515/noise-2020-0001

A. Sotiropoulou, Ioannis Karagiannis, E. Vougioukas, A. Ballis, Aspasia Bouki

{"title":"Measurements and prediction of road traffic noise along high-rise building façades in Athens","authors":"A. Sotiropoulou, Ioannis Karagiannis, E. Vougioukas, A. Ballis, Aspasia Bouki","doi":"10.1515/noise-2020-0001","DOIUrl":"https://doi.org/10.1515/noise-2020-0001","url":null,"abstract":"Abstract Constant exposure to traffic noise pollution can have significant impact on human health and well being. Occupants of high-rise buildings along noisy traffic arteries are severely affected. In an attempt to contribute to noise protection design of prospective high-rise buildings, traffic noise measurements and prediction using the CRTN (calculation of road traffic noise) model, were made along the façade of a high-rise building in central Athens. The aim was to test the accuracy of this model in predicting the vertical distribution (mapping) of traffic noise along such building façades, under the local urban characteristics of the Mediterranean capital. The predicted and measured noise levels were found to be highly coherent with each other, and their vertical distribution pattern, by and large, confirmed findings from earlier studies. Nevertheless, the predicted values had a tendency of underestimation, with a mean difference −2.2 dB(A) with reference to measured values. It is considered that this underestimation is associated mainly with a newly proposed feature of urban morphology, namely (local) geo-morphology. By and large, it can be inferred that the CRTN model is a useful tool, suitable for the prediction of traffic noise along high-rise building façades during their planning and design stage. The results represent a further step towards more general application of this model, as well as a contribution to the use of this model considering a wider number of urban features.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/noise-2020-0001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43476478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Noise identification based on spectral analysis and noisy transfer function approach for fuel cells 基于谱分析和噪声传递函数方法的燃料电池噪声识别

IF 2.8

Noise Mapping Pub Date : 2020-01-01 DOI: 10.1515/noise-2020-0002

T. Akinci, S. Seker, Erkan Dursun, O. Kiliç

引用次数: 2

Mitigation of environmental noise in urban streets through lightweight transparent screens 透过轻质透明屏风，减低城市街道的环境噪音

IF 2.8

Noise Mapping Pub Date : 2020-01-01 DOI: 10.1515/noise-2020-0005

A. Gagliano, F. Nocera, A. Cicero, L. Marletta, G. Evola

{"title":"Mitigation of environmental noise in urban streets through lightweight transparent screens","authors":"A. Gagliano, F. Nocera, A. Cicero, L. Marletta, G. Evola","doi":"10.1515/noise-2020-0005","DOIUrl":"https://doi.org/10.1515/noise-2020-0005","url":null,"abstract":"Abstract Noise pollution is one of the main environmental stressors in urban areas. In particular, strong noise pollution can be experienced at nighttime in downtown areas with intense anthropic activities: here, dwellers may suffer from disturbance to their rest, which induces stress and – in turn – adverse effects on health. Usually, local authorities implement actions to tackle noise pollution, e.g. limiting the time allowed for outdoor events. However, these measures are often inadequate because the noise annoyance comes directly by the shouting of people spending time outdoors till late night. In this framework, this study proposes a procedure to optimize the shape of customized lightweight transparent noise screens that can be applied to façades in order to reduce noise disturbance in urban canyons. The case study of the “movida” area in the downtown of Marina di Ragusa (Southern Italy) is discussed to test the applicability of the proposed procedure. The results of this analysis allow defining the shape and the size of the noise screens that minimize the noise annoyance perceived by residents. The proposed mitigation approach can be applied in cities affected by significant noise pollution.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/noise-2020-0005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44851811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Noise Mapping: a first balance and future perspectives 噪声映射:第一个平衡和未来的观点

IF 2.8

Noise Mapping Pub Date : 2020-01-01 DOI: 10.1515/noise-2020-0007

F. Asdrubali

引用次数: 0

Strategic noise mapping in Athens International Airport: A tool for balanced approach & health effects evaluation 雅典国际机场的战略噪音地图：平衡方法和健康影响评估的工具

IF 2.8

Noise Mapping Pub Date : 2020-01-01 DOI: 10.1515/noise-2020-0008

K. Vogiatzis, D. Dimitriou, Georgia Gerolymatou, Aristeidis Konstantinidis

{"title":"Strategic noise mapping in Athens International Airport: A tool for balanced approach & health effects evaluation","authors":"K. Vogiatzis, D. Dimitriou, Georgia Gerolymatou, Aristeidis Konstantinidis","doi":"10.1515/noise-2020-0008","DOIUrl":"https://doi.org/10.1515/noise-2020-0008","url":null,"abstract":"Abstract Athens International Airport (A.I.A) is the first major transportation infrastructure in Greece with the participation of the private sector, a pioneer international Public-Private Partnership. Environmental protection is a priority, and AIA, is committed to protect the environment and preventing or lessening negative impacts, through a comprehensive Environmental Policy and Procedures. Within this framework, AIA has already carried out the study for Strategic Noise Map (SNM) and the Noise Action Plan (NAP) for the Aircraft Noise. According to the European Directive 49/2002 the study should be repeated every 5 years. This research article focuses on the comparative study for the latest SNMs 2017 & 2019 (ECAC Doc.29) and for 2019 (executed by the new methodology CNOSSOS-GR), for the respective traffic data 2016 & 2018, and presents the results of the acoustic model in order to create the Strategic Noise Maps for Lden & Lnight indicators. With a view to implementing the legislation, an analysis of aircraft mix for every year (except helicopters, military and other specific flights) was carried out in accordance with the categorisation provided for in the relevant recommendation of the Committee of 6 August 2003 and the European Commission adopted Directive 2015/996. The potential health effects were further analyzed using the World Health Organization (WHO’s) Disability Adjusted Life Year’s (DALY’s) metrics for aircraft noise in relation to the exposure of the population based on the results of alternative comparative Strategic Noise Maps. The aim of the study is to show how the combination of both the implementation of the European Directive 2002/49 and 2015/996 and the DALY approach is an analysis tool for the evaluation of the acoustic environment. As we can observe in the results, the overall findings are significantly lower in the case of SNM 2019 (executed by the new methodology CNOSSOS-GR) than in the others.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/noise-2020-0008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49479454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Analysing urban traffic volumes and mapping noise emissions in Rome (Italy) in the context of containment measures for the COVID-19 disease 在新冠肺炎疾病控制措施的背景下，分析罗马（意大利）的城市交通量和绘制噪音排放图

IF 2.8

Noise Mapping Pub Date : 2020-01-01 DOI: 10.1515/noise-2020-0010

F. Aletta, S. Brinchi, S. Carrese, A. Gemma, C. Guattari, L. Mannini, S. M. Patella

引用次数: 51

Assessment, Prediction and Mapping of Noise Levels in Vellore City, India 印度Vellore市噪声水平的评估、预测和制图

IF 2.8

Noise Mapping Pub Date : 2019-01-01 DOI: 10.1515/noise-2019-0004

N. Manojkumar, K. Basha, B. Srimuruganandam

{"title":"Assessment, Prediction and Mapping of Noise Levels in Vellore City, India","authors":"N. Manojkumar, K. Basha, B. Srimuruganandam","doi":"10.1515/noise-2019-0004","DOIUrl":"https://doi.org/10.1515/noise-2019-0004","url":null,"abstract":"Abstract Present study focuses on measurement, prediction and mapping of noise levels in important places of Vellore city located in Tamil Nadu state, India. Weekday and weekend noise levels at six locations (S1 to S6) are recorded during morning, afternoon and evening times. Sampling locations includes educational (S1), commercial (S2 and S4), tourist and recreational (S3), and mixed (S5 and S6) zones. Assessment in Vellore city showed maximum Leq level in S4 and S5 and lowest is recorded in S3 throughout the study. Highest Leq levels are recorded in evening (57.52–78.41 dB(A)) and afternoon (58.76–76.39 dB(A)) time during weekday and weekend, respectively. Along with Leq, noise descriptors are also included and discussed in this study. Weekend has higher mean value of TNI thanWeekday. CoRTN model is employed to predict the L10 values. Results showed good performance of model with marginal difference between measured and predicted L10 levels. Further noise maps are created separately for weekday and weekend using ArcGIS software. Noise maps showed alarming noise levels near sampling sites and it is suggested to take immediate preventive measures using barriers or by providing alternative traffic routes.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/noise-2019-0004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48147613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 27

Sonic environment of Singapore Botanic Gardens and benchmarking with various urban gardens of the world 新加坡植物园的声学环境，与世界各地的城市花园进行对比

IF 2.8

Noise Mapping Pub Date : 2019-01-01 DOI: 10.1515/noise-2019-0007

H. Lee, K. Lim, S. Garg

引用次数: 1

Classification and mapping of sound sources in local urban streets through AudioSet data and Bayesian optimized Neural Networks 基于AudioSet数据和贝叶斯优化神经网络的城市街道声源分类与制图

IF 2.8

Noise Mapping Pub Date : 2019-01-01 DOI: 10.1515/noise-2019-0005

Deepank Verma, Arnab Jana, K. Ramamritham

{"title":"Classification and mapping of sound sources in local urban streets through AudioSet data and Bayesian optimized Neural Networks","authors":"Deepank Verma, Arnab Jana, K. Ramamritham","doi":"10.1515/noise-2019-0005","DOIUrl":"https://doi.org/10.1515/noise-2019-0005","url":null,"abstract":"Abstract Deep learning (DL) methods have provided several breakthroughs in conventional data analysis techniques, especially with image and audio datasets. Rapid assessment and large-scale quantification of environmental attributes have been possible through such models. This study focuses on the creation of Artificial Neural Networks (ANN) and Recurrent Neural Networks (RNN) based models to classify sound sources from manually collected sound clips in local streets. A subset of an openly available AudioSet data is used to train and evaluate the model against the common sound classes present in the urban streets. The collection of audio data is done at random locations in the selected study area of 0.2 sq. km. The audio clips are further classified according to the extent of anthropogenic (mainly traffic), natural and human-based sounds present in particular locations. Rather than the manual tuning of model hyperparameters, the study utilizes Bayesian Optimization to obtain hyperparameter values of Neural Network models. The optimized models produce an overall accuracy of 89 percent and 60 percent on the evaluation set for three and fifteen-class model respectively. The model detections are mapped in the study area with the help of the Inverse Distance Weighted (IDW) spatial interpolation method.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/noise-2019-0005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48478836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Assessing the impact of Autonomous Vehicles on urban noise pollution 评估自动驾驶汽车对城市噪声污染的影响

IF 2.8

Noise Mapping Pub Date : 2019-01-01 DOI: 10.1515/noise-2019-0006

S. M. Patella, F. Aletta, L. Mannini

{"title":"Assessing the impact of Autonomous Vehicles on urban noise pollution","authors":"S. M. Patella, F. Aletta, L. Mannini","doi":"10.1515/noise-2019-0006","DOIUrl":"https://doi.org/10.1515/noise-2019-0006","url":null,"abstract":"Abstract This paper presents the results of a noise emission study of Autonomous Vehicles (AVs) and their impact on the road network. By comparing the current situation with a future hypothetical scenario (100% AVs penetration), this study highlights the positive effect, in terms of noise pollution, of the adoption of AVs on a real road network (city of Rome). For this scope, a traffic simulation-based approach was used to investigate the effects of AVs on the network congestion. Results show that the full AVs penetration scenario leads to an improvement in the network performances in terms of travel time and average network speed. Moreover, the amount of Vehicle Kilometre Travelled (VKT) shows an 8% increase on longer extra-urban routes, due to the higher capacity impact of AVs on highways, with a consequent load reduction for intra-urban shortcutting routes. These results are also reflected in terms of noise emission. In fact, the central area would benefit from lower noise emission, whereas an increase in traffic volume and speed lead to worsened conditions for some specific highway links of the network. Overall, it was shown that a 100% AVs fleet would have a beneficial effect for the noise pollution, leading to a general reduction of noise emissions, which is more pronounced for intra-urban roads.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/noise-2019-0006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43579552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11