共查询到20条相似文献,搜索用时 31 毫秒
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The City of Amman, Jordan, has been subjected to persistent increase in road traffic due to overall increase in prosperity, fast development and expansion of economy, travel and tourism. This study investigates traffic noise pollution in Amman. Road traffic noise index L
10(1 h) was measured at 28 locations that cover most of the City of Amman. Noise measurements were carried out at these 28 locations two times a day for a period of one hour during the early morning and early evening rush hours, in the presence and absence of a barrier. The Calculation of Road Traffic Noise (CRTN) prediction model was employed to predict noise levels at the locations chosen for the study. Data required for the model include traffic volume, speed, percentage of heavy vehicles, road surface, gradient, obstructions, distance, noise path, intervening ground, effect of shielding, and angle of view. The results of the investigation showed that the minimum and the maximum noise levels are 46 dB(A) and 81 dB(A) during day-time and 58 dB(A) and 71 dB(A) during night-time. The measured noise level exceeded the 62 dB(A) acceptable limit at most of the locations. The CTRN prediction model was successful in predicting noise levels at most of the locations chosen for this investigation, with more accurate predictions for night-time measurements. 相似文献
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Olayinka S. Oyedepo Abdullahi A. Saadu 《Environmental monitoring and assessment》2010,160(1-4):563-577
Evaluation and analysis of noise pollution levels have been carried out to determine the level of noise and its sources in Ilorin metropolis. Noise measurements have been done in the morning, at noon, in the evening, and at night to determine noise pollution all over the city. The selected areas of study are commercial centers, road junctions/busy roads, passenger loading parks, and high-density and low-density residential areas. The road junctions had the highest noise pollution levels, followed by commercial centers. The results of this study show that the noise levels in Ilorin metropolis exceeded allowed values at 30 of 42 measurements points. There is a significant difference (P?<?0.05) in the noise pollution levels and traffic noise index in all the locations. From the measured noise values, a map of noise pollution was developed for Ilorin. Many solutions proposed for noise abatement in the city are set out. 相似文献
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兰州市汽车尾气污染状况调查 总被引:8,自引:0,他引:8
通过对兰州市汽车尾气污染状况的调查与分析,认为兰州市街道空气污染较重,CO、NOx、SO2、TSP、Pb各项污染均超标,其污染程度与车流强度、时间、季节、路面宽度、风速及不同形式的交通路口相关。汽车尾气排放已成为兰州市空气污染的重要来源。 相似文献
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Kazi TG Jalbani N Arain MB Jamali MK Afridi HI Shah AQ 《Environmental monitoring and assessment》2009,158(1-4):155-167
The noise pollution is a major problem for the quality of life in urban areas. This study was conducted to compare the noise pollution levels at busy roads/road junctions, passengers loading parks, commercial, industrial and residential areas in Ilorin metropolis. A total number of 47-locations were selected within the metropolis. Statistical analysis shows significant difference (P < 0.05) in noise pollution levels between industrial areas and low density residential areas, industrial areas and high density areas, industrial areas and passengers loading parks, industrial areas and commercial areas, busy roads/road junctions and low density areas, passengers loading parks and commercial areas and commercial areas and low density areas. There is no significant difference (P > 0.05) in noise pollution levels between industrial areas and busy roads/road junctions, busy roads/road junctions and high density areas, busy roads/road junctions and passengers loading parks, busy roads/road junctions and commercial areas, passengers loading parks and high density areas, passengers loading parks and commercial areas and commercial areas and high density areas. The results show that Industrial areas have the highest noise pollution levels (110.2 dB(A)) followed by busy roads/Road junctions (91.5 dB(A)), Passengers loading parks (87.8 dB(A)) and Commercial areas (84.4 dB(A)). The noise pollution levels in Ilorin metropolis exceeded the recommended level by WHO at 34 of 47 measuring points. It can be concluded that the city is environmentally noise polluted and road traffic and industrial machineries are the major sources of it. Noting the noise emission standards, technical control measures, planning and promoting the citizens awareness about the high noise risk may help to relieve the noise problem in the metropolis. 相似文献
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In recent decades, noise pollution caused by industrialization and increased motorization has become a major concern around the world because of its adverse effects on human well-being. Therefore, transportation agencies have been implementing noise abatement measures in order to reduce road traffic noise. However, limited attention is given to noise in environmental assessment of road transportation systems. This paper presents a framework for a health impact assessment model for road transportation noise emissions. The model allows noise impacts to be addressed with the health effects of air pollutant and greenhouse gas emissions from road transportation. The health damages assessed in the model include annoyance, sleep disturbance, and cardiovascular disease in terms of acute myocardial infarction. The model was applied in a case study in Istanbul in order to evaluate the change in health risks from the implementation of noise abatement strategies. The noise abatement strategies evaluated include altering pavement surfaces in order to absorb noise and introducing speed limits. It was shown that significant improvements in health risks can be achieved using open graded pavement surfaces and introducing speed limits on highways. 相似文献
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A comparative study was undertaken at two different sites (one urban, one suburban) in Greater London in order to examine whether there was a relationship between publicly available air quality data and the public's perception of air quality. Perceptions of air quality and its role as a potential quality of life indicator was also investigated. A total of 200 people were interviewed in Wood Green and Wimbledon in 1999 and air quality data were obtained simultaneously from the nearest appropriate monitoring station. The study has enabled a comparison between the public's perception of air quality and the actual monitored concentration values. The survey results reveal how seriously the public regards air pollution from road traffic in terms of their quality of life and identifies the attitudes of the public to nuisance from road traffic. The results reveal that the public's perception of air quality is not a reliable indicator of the actual levels of air pollution in their area. The results also revealed that air pollution issues generated as a result of road traffic are of high importance in terms of people's quality of life when compared to other aspects of their quality of life. The study revealed that residents in the urban area (Wood Green) were more disturbed by road traffic than residents in the suburban area (Wimbledon). Out of all the disturbances listed, it was found that residents were more disturbed by vehicle-derived fumes, dust and dirt than other aspects of road traffic related nuisance. The TELETEXT/CEEFAX service on air quality was little used by the public as a means of obtaining information on air pollution. 相似文献
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以福州市西三环快速路某路段为实验靶区,利用微型环境检测仪采集路边细颗粒物(PM2.5)、亚微米颗粒物(PM1.0)和黑碳(BC)的空间分布样本,解析其在道路绿化带前后(绿化带前是指干道和辅道外边缘线位置,其他位置均视为绿化带后)的变化特征及原因。结果表明:(1)颗粒物浓度随着采样点远离干道而整体趋于递减,呈现BC>PM2.5>PM1.0的衰减率变化特征,且植被稠密的路边环境对应更大的颗粒物浓度降幅。(2)夏季绿化带后的颗粒物浓度降幅高于冬季,冬季绿化带后部分采样点的PM1.0和PM2.5浓度甚至有所抬升。在植被茂密的路边环境下,风自干道吹向绿化带情景的路边空气质量介于风自绿化带吹向干道情景和风平行于干道情景之间。(3)BC对交通变化的敏感性高于PM2.5和PM1.0,植被茂密的绿化带后的颗粒物浓度降幅会因交通强度的上升而增大。风自干道吹向绿化带时,绿化带对颗粒物的调节作用会随交通源强和季节的变化而不同... 相似文献
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Transportation system has contributed significantly to the development of human civilization; on the other hand it has an
enormous impact on the ambient air quality in several ways. In this paper the air and noise pollution at selected sites along
three sections of National Highway was monitored. Pakistan National Highway Authority has started a Highway Improvement
program for rehabilitations and maintenance of National highways to improve the traffic flows, and would ultimately improve
the air quality along highways. The ambient air quality and noise level was monitored at nine different locations along these
sections of highways to quantify the air pollution. The duration of monitoring at individual location was 72 h. The most of
the sampling points were near the urban or village population, schools or hospitals, in order to quantify the air pollution
at most affected locations along these roads. A database consisting of information regarding the source of emission, local
metrology and air quality may be created to assess the profile of air quality in the area. 相似文献
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An assessment of air quality in the vicinity of a selected school has been carried out by monitoring the concentrations of primary pollutants. The results has shown that during the school hours, the measured pollutants emitted from the cars next to the selected school, such as CO and NO(2), are always under the allowable limits for Kuwaiti air quality standards. On the other hand, the concentrations of non methane hydrocarbon pollutant (nm-HC), some of which are considered to be cancergenic, are found to be above the Kuwaiti standard most of the times. A traffic counter is used to record the number of cars in the main road next to the school in 15 min intervals for 10 days during the monitoring period for air quality. Statistical analysis is performed to develop a relation for prediction of the necessary reduction in traffic, based on CO concentrations, during morning and afternoon periods on working days. A computer dispersion model (CALINE4) is also used to assess the CO concentrations based on recorded flow of traffic and emission inventory with the prevailing meteorological conditions existed at the specified time. After the validation of model, different scenarios have been evaluated to provide an acceptable solution to resolve the traffic congestion problem near the schools in the early morning hours with substantial reduction in pollution levels. The optimal solution for CO concentration reduction by managing smooth traffic flow is to reduce the traffic intensity by half in early morning and afternoon rush hours. The results of the predicted CO concentration in the vicinity of the school for the model and the statistical analysis has shown reduction of 30% and 42% respectively, for approximately 50% decrease in the car use. On the other hand the predicted CO concentration for the model and the statistics reached 24% and 33% respectively when 50% of students opted for buses instead of using private cars. 相似文献
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Development of Noise Simulation Model for Stationary and Mobile Sources: A GIS-Based Approach 总被引:1,自引:0,他引:1
Asheesh Sharma Ritesh Vijay Veena K. Sardar R. A. Sohony Apurba Gupta 《Environmental Modeling and Assessment》2010,15(3):189-197
In the rapidly urbanizing country like India, the transportation sector is growing rapidly, which lead to overcrowded roads
producing air and noise pollution. Noise of a particular region is influenced by the volume of traffic on the highway, in
addition to other causative factors like existing infrastructure and industrial setup etc. In the present paper, a geographical
information system (GIS)-based noise simulation model has been developed to generate noise levels in Versova region of Mumbai,
India. The study area comprises effect of infrastructure, road network, traffic volume, and various mechanical components
like sewage pumping station and wastewater treatment facility. Various meteorological parameters and effect of land use and
land cover on noise attenuation are also considered in the model. In this way, commutative noise prediction for point as well
as mobile sources has been presented in the study. GIS-based noise simulation has been calibrated with observed noise levels
during day and night time with correlation of 0.84 and 0.74, respectively. 相似文献
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广州市昼夜道路交通噪声的监测与分析 总被引:7,自引:1,他引:6
对广州市的昼夜交通噪声污染现状进行了分区域分道路等级的实地监测,得到共53个监测点位白天和夜晚的等效声级及其统计声级,同时对每个监测点展开了交通流调查,并分析交通流特征对交通噪声的影响。监测结果表明, 白天快速路、主干路、次干路及支路的平均等效声级分别为74.2、72.2、67.8、65.1 dB,快速路及主干路沿线的交通噪声污染比次干路及支路的严重。夜晚所有测点的噪声值均超过55 dB,快速路、主干路、次干路及支路的平均等效声级分别为72.2、72.3、66.3、64.5 dB,广州市夜晚的交通噪声污染较为严重。 相似文献